Table of contents for issues of Computational Statistics & Data Analysis

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Volume 51, Number 2, November 15, 2006
Volume 52, Number 4, January 10, 2008
Volume 52, Number 12, August 15, 2008
Volume 53, Number 9, July 1, 2009
Volume 53, Number 11, September 1, 2009
Volume 54, Number 1, January 1, 2010
Volume 54, Number 2, February 1, 2010
Volume 54, Number 3, March 1, 2010
Volume 54, Number 4, April 1, 2010
Volume 54, Number 5, May 1, 2010
Volume 54, Number 6, June 1, 2010
Volume 54, Number 7, July 1, 2010
Volume 54, Number 8, August 1, 2010
Volume 54, Number 9, September 1, 2010
Volume 54, Number 10, October 1, 2010
Volume 54, Number 11, November 1, 2010
Volume 54, Number 12, December 1, 2010
Volume 55, Number 1, January 1, 2011
Volume 55, Number 2, February 1, 2011
Volume 55, Number 3, March 1, 2011
Volume 55, Number 4, April 1, 2011
Volume 55, Number 5, May 1, 2011
Volume 55, Number 6, June 1, 2011
Volume 55, Number 7, July 1, 2011
Volume 55, Number 8, August 1, 2011
Volume 55, Number 9, September 1, 2011
Volume 55, Number 10, October 1, 2011
Volume 55, Number 11, November 1, 2011
Volume 55, Number 12, December 1, 2011
Volume 56, Number 1, January 1, 2012
Volume 56, Number 2, February 1, 2012
Volume 56, Number 3, March 1, 2012
Volume 56, Number 4, April 1, 2012
Volume 56, Number 5, May 1, 2012
Volume 56, Number 6, June, 2012
Volume 56, Number 7, July, 2012
Volume 56, Number 8, August, 2012
Volume 56, Number 9, September, 2012
Volume 56, Number 10, October, 2012
Volume 56, Number 11, November, 2012
Volume 56, Number 12, December, 2012
Volume 57, Number 1, January, 2013
Volume 58, Number ??, February, 2013
Volume 59, Number ??, March, 2013
Volume 60, Number ??, April, 2013
Volume 61, Number ??, May, 2013
Volume 62, Number ??, June, 2013
Volume 63, Number ??, July, 2013
Volume 64, Number ??, August, 2013
Volume 65, Number ??, September, 2013
Volume 66, Number ??, October, 2013
Volume 67, Number ??, November, 2013
Volume 68, Number ??, December, 2013
Volume 69, Number ??, January, 2014
Volume 70, Number ??, February, 2014
Volume 71, Number ??, March, 2014
Volume 72, Number ??, April, 2014
Volume 73, Number ??, May, 2014
Volume 74, Number ??, June, 2014
Volume 75, Number ??, July, 2014
Volume 76, Number ??, August, 2014
Volume 77, Number ??, September, 2014
Volume 78, Number ??, October, 2014
Volume 79, Number ??, November, 2014
Volume 80, Number ??, December, 2014
Volume 81, Number ??, January, 2015
Volume 82, Number ??, February, 2015
Volume 83, Number ??, March, 2015
Volume 84, Number ??, April, 2015
Volume 85, Number ??, May, 2015
Volume 86, Number ??, June, 2015
Volume 87, Number ??, July, 2015
Volume 88, Number ??, August, 2015
Volume 89, Number ??, September, 2015
Volume 90, Number ??, October, 2015
Volume 91, Number ??, November, 2015
Volume 92, Number ??, December, 2015
Volume 93, Number ??, January, 2016
Volume 94, Number ??, February, 2016
Volume 95, Number ??, March, 2016
Volume 95, March, 2016
Volume 95, Number ??, March, 2016
Volume 96, Number ??, April, 2016
Volume 97, Number ??, 2016
Volume 98, Number ??, 2016
Volume 99, Number ??, July, 2016
Volume 100, Number ??, August, 2016
Volume 101, Number ??, September, 2016
Volume 102, Number ??, October, 2016
Volume 103, Number ??, November, 2016
Volume 104, Number ??, December, 2016
Volume 105, Number ??, January, 2017
Volume 106, Number ??, February, 2017
Volume 107, Number ??, March, 2017
Volume 108, Number ??, April, 2017
Volume 109, Number ??, May, 2017
Volume 110, Number ??, June, 2017
Volume 111, Number ??, July, 2017
Volume 112, Number ??, August, 2017
Volume 113, Number ??, September, 2017
Volume 114, Number ??, October, 2017
Volume 115, Number ??, November, 2017
Volume 116, Number ??, December, 2017
Volume 117, Number ??, January, 2018
Volume 118, Number ??, February, 2018
Volume 119, Number ??, March, 2018
Volume 120, Number ??, April, 2018
Volume 121, Number ??, May, 2018
Volume 122, Number ??, June, 2018
Volume 123, Number ??, July, 2018
Volume 124, Number ??, August, 2018
Volume 125, Number ??, September, 2018
Volume 126, Number ??, October, 2018
Volume 127, Number ??, November, 2018
Volume 128, Number ??, December, 2018
Volume 129, Number ??, January, 2019
Volume 130, Number ??, February, 2019
Volume 131, Number ??, 2019
Volume 132, Number ??, 2019
Volume 133, Number ??, May, 2019
Volume 134, Number ??, June, 2019
Volume 135, Number ??, July, 2019
Volume 136, Number ??, August, 2019
Volume 137, Number ??, September, 2019
Volume 138, Number ??, October, 2019
Volume 139, Number ??, November, 2019
Volume 140, Number ??, December, 2019


Computational Statistics & Data Analysis
Volume 51, Number 2, November 15, 2006

            Raydonal Ospina and   
     Francisco Cribari-Neto and   
       Klaus L. P. Vasconcellos   Improved point and interval estimation
                                  for a beta regression model  . . . . . . 960--981


Computational Statistics & Data Analysis
Volume 52, Number 4, January 10, 2008

             Yasmin H. Said and   
           Edward J. Wegman and   
         Walid K. Sharabati and   
                 John T. Rigsby   RETRACTED: Social networks of
                                  author--coauthor relationships . . . . . 2177--2184

Computational Statistics & Data Analysis
Volume 52, Number 12, August 15, 2008

          Brooke L. Fridley and   
          Stephen T. Turner and   
          Arlene B. Chapman and   
            Andrei S. Rodin and   
            Eric Boerwinkle and   
                 Kent R. Bailey   Reproducibility of genotypes as measured
                                  by the Affymetrix GeneChip$^\reg $ 100K
                                  Human Mapping Array set  . . . . . . . . 5367--5374


Computational Statistics & Data Analysis
Volume 53, Number 9, July 1, 2009

                       Steve Su   Confidence intervals for quantiles using
                                  generalized lambda distributions . . . . 3324--3333

Computational Statistics & Data Analysis
Volume 53, Number 11, September 1, 2009

              Sung Nok Chiu and   
                   Kwong Ip Liu   Generalized Cramér--von Mises
                                  goodness-of-fit tests for multivariate
                                  distributions  . . . . . . . . . . . . . 3817--3834


Computational Statistics & Data Analysis
Volume 54, Number 1, January 1, 2010

                      Anonymous   Editorial Board  . . . . . . . . . . . . v--vii
                      Anonymous   Contents . . . . . . . . . . . . . . . . viii--ix
                Edoardo Otranto   Identifying financial time series with
                                  similar dynamic conditional correlation  1--15
                     N. Lin and   
                          R. Xi   Fast surrogates of $U$-statistics  . . . 16--24
             Xiao-Feng Wang and   
                Zhaozhi Fan and   
                       Bin Wang   Estimating smooth distribution function
                                  in the presence of heteroscedastic
                                  measurement errors . . . . . . . . . . . 25--36
           Valentin Todorov and   
                Peter Filzmoser   Robust statistic for the one-way MANOVA  37--48
                   Matti Vihola   Grapham: Graphical models with adaptive
                                  random walk Metropolis algorithms  . . . 49--54
                      G. Y. Zou   Confidence interval estimation under
                                  inverse sampling . . . . . . . . . . . . 55--64
                  Yong Zang and   
              Wing Kam Fung and   
                     Gang Zheng   Asymptotic powers for matched trend
                                  tests and robust matched trend tests in
                                  case-control genetic association studies 65--77
           Juan R. Gonzalez and   
       Edsel A. Peña and   
                 Pedro Delicado   Confidence intervals for median survival
                                  time with recurrent event data . . . . . 78--89
               Ivan Kojadinovic   Hierarchical clustering of continuous
                                  variables based on the empirical copula
                                  process and permutation linkages . . . . 90--108
                 Alan D. Hutson   A multi-rater nonparametric test of
                                  agreement and corresponding agreement
                                  plot . . . . . . . . . . . . . . . . . . 109--119
                 Nizar Bouguila   On multivariate binary data clustering
                                  and feature weighting  . . . . . . . . . 120--134
            N. Balakrishnan and   
                   Xingqiu Zhao   A nonparametric test for the equality of
                                  counting processes with panel count data 135--142
                 C. Tommasi and   
        J. López-Fidalgo   Bayesian optimum designs for
                                  discriminating between models with any
                                  distribution . . . . . . . . . . . . . . 143--150
     Arturo J. Fernández   Two-sided tolerance intervals in the
                                  exponential case: Corrigenda and
                                  generalizations  . . . . . . . . . . . . 151--162
                 Daniel Gervini   RETRACTED: the functional singular value
                                  decomposition for bivariate stochastic
                                  processes  . . . . . . . . . . . . . . . 163--172
                 Woojoo Lee and   
              Jian Qing Shi and   
                    Youngjo Lee   Approximate conditional inference in
                                  mixed-effects models with binary data    173--184
                   Ancha Xu and   
                    Yincai Tang   Reference analysis for
                                  Birnbaum--Saunders distribution  . . . . 185--192
                  Ying Yang and   
                      Jian Kang   Joint analysis of mixed Poisson and
                                  continuous longitudinal data with
                                  nonignorable missing values  . . . . . . 193--207
               Keunbaik Lee and   
                Donald Mercante   Longitudinal nominal data analysis using
                                  marginalized models  . . . . . . . . . . 208--218
               S. C. Chuang and   
                     Y. C. Hung   Uniform design over general input
                                  domains with applications to target
                                  region estimation in computer
                                  experiments  . . . . . . . . . . . . . . 219--232
               Alan M. Polansky   Ordered inference using observed
                                  confidence levels  . . . . . . . . . . . 233--244

Computational Statistics & Data Analysis
Volume 54, Number 2, February 1, 2010

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi--vii
         Taoufik Bouezmarni and   
          Jeroen V. K. Rombouts   Nonparametric density estimation for
                                  positive time series . . . . . . . . . . 245--261
       Christian de Peretti and   
                   Carole Siani   Graphical methods for investigating the
                                  finite-sample properties of confidence
                                  regions  . . . . . . . . . . . . . . . . 262--271
                 Sonjoy Das and   
             James C. Spall and   
                   Roger Ghanem   Efficient Monte Carlo computation of
                                  Fisher information matrix using prior
                                  information  . . . . . . . . . . . . . . 272--289
     Alexandros Karatzoglou and   
                  Ingo Feinerer   Kernel-based machine learning for fast
                                  text mining in R . . . . . . . . . . . . 290--297
               Dunlei Cheng and   
           Adam J. Branscum and   
                James D. Stamey   A Bayesian approach to sample size
                                  determination for studies designed to
                                  evaluate continuous medical tests  . . . 298--307
                S. Boudaoud and   
                     H. Rix and   
                       O. Meste   Core Shape modelling of a set of curves  308--325
               Qingchu Xiao and   
                Zaiming Liu and   
            N. Balakrishnan and   
                      Xuewen Lu   Estimation of the Birnbaum--Saunders
                                  regression model with current status
                                  data . . . . . . . . . . . . . . . . . . 326--332
Eufrásio de A. Lima Neto and   
 Francisco de A. T. de Carvalho   Constrained linear regression models for
                                  symbolic interval-valued variables . . . 333--347
         Alexandre B. Simas and   
       Wagner Barreto-Souza and   
         Andréa V. Rocha   Improved estimators for a general class
                                  of beta regression models  . . . . . . . 348--366
             Simos G. Meintanis   Inference procedures for the
                                  Birnbaum--Saunders distribution and its
                                  generalizations  . . . . . . . . . . . . 367--373
              Gabriel Frahm and   
                     Uwe Jaekel   A generalization of Tyler's
                                  $M$-estimators to the case of incomplete
                                  data . . . . . . . . . . . . . . . . . . 374--393
             Guo-Liang Tian and   
               Man-Lai Tang and   
             Kam Chuen Yuen and   
                    Kai Wang Ng   Further properties and new applications
                                  of the nested Dirichlet distribution . . 394--405
             Sooyoung Cheon and   
                     Jaehee Kim   Multiple change-point detection of
                                  multivariate mean vectors with the
                                  Bayesian approach  . . . . . . . . . . . 406--415
          Alessio Farcomeni and   
               Alessandra Nardi   A two-component Weibull mixture to model
                                  early and late mortality in a Bayesian
                                  framework  . . . . . . . . . . . . . . . 416--428
                    Eva Boj and   
             Pedro Delicado and   
                 Josep Fortiana   Distance-based local linear regression
                                  for functional predictors  . . . . . . . 429--437
               Jing-Hao Xue and   
        D. Michael Titterington   On the generative--discriminative
                                  tradeoff approach: Interpretation,
                                  asymptotic efficiency and classification
                                  performance  . . . . . . . . . . . . . . 438--451
          Rosa M. Crujeiras and   
            Ingrid Van Keilegom   Least squares estimation of nonlinear
                                  spatial trends . . . . . . . . . . . . . 452--465
                      Lili Tian   Confidence interval estimation of
                                  partial area under curve based on
                                  combined biomarkers  . . . . . . . . . . 466--472
              Masayuki Hirukawa   Nonparametric multiplicative bias
                                  correction for kernel-type density
                                  estimation on the unit interval  . . . . 473--495
                 Fukang Zhu and   
                     Dehui Wang   Diagnostic checking integer-valued $
                                  {\rm ARCH}(p) $ models using conditional
                                  residual autocorrelations  . . . . . . . 496--508
             Ngai-Hang Chan and   
           Thomas C. M. Lee and   
                     Liang Peng   On nonparametric local inference for
                                  density estimation . . . . . . . . . . . 509--515
           Mong-Na Lo Huang and   
              Chuan-Pin Lee and   
              Ray-Bing Chen and   
                   Thomas Klein   Exact $D$-optimal designs for a
                                  second-order response surface model on a
                                  circle with qualitative factors  . . . . 516--530
              Albert Vexler and   
               Gregory Gurevich   Empirical likelihood ratios applied to
                                  goodness-of-fit tests based on sample
                                  entropy  . . . . . . . . . . . . . . . . 531--545
                 Ana Bianco and   
            Graciela Boente and   
Wenceslao González-Manteiga and   
Ana Pérez-González   Estimation of the marginal location
                                  under a partially linear model with
                                  missing responses  . . . . . . . . . . . 546--564
              Yu-Ling Chang and   
                    Fei Zou and   
                 Fred A. Wright   An approximate Bayesian approach for
                                  quantitative trait loci estimation . . . 565--574
                 N. Sartori and   
             T. A. Severini and   
                      E. Marras   An alternative specification of
                                  generalized linear mixed models  . . . . 575--584
          Geert Molenberghs and   
             Michael G. Kenward   Semi-parametric marginal models for
                                  hierarchical data and their
                                  corresponding full models  . . . . . . . 585--597
     Alessandro De Gregorio and   
            Stefano Maria Iacus   Clustering of discretely observed
                                  diffusion processes  . . . . . . . . . . 598--606
              Sung Nok Chiu and   
                   Kwong Ip Liu   Corrigendum to ``Generalized Cramér--von
                                  Mises goodness-of-fit tests for
                                  multivariate distributions'' [Comput.
                                  Statist. Data Anal. \bf 53 (2009)
                                  3817--3834]  . . . . . . . . . . . . . . 607

Computational Statistics & Data Analysis
Volume 54, Number 3, March 1, 2010

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi--vii
              Cristian Gatu and   
               B. D. McCullough   Second special issue on statistical
                                  algorithms and software  . . . . . . . . 609--610
                  Jan Bulla and   
                 Ingo Bulla and   
                 Oleg Nenadi\'c   hsmm --- An R package for analyzing
                                  hidden semi-Markov models  . . . . . . . 611--619
                Ori Davidov and   
              George Iliopoulos   A note on an iterative algorithm for
                                  nonparametric estimation in biased
                                  sampling models  . . . . . . . . . . . . 620--624
     Juan Carlos Escanciano and   
   David T. Jacho-Chávez   Approximating the critical values of
                                  Cramér--von Mises tests in general
                                  parametric conditional specifications    625--636
María Teresa Gallegos and   
                  Gunter Ritter   Using combinatorial optimization in
                                  model-based trimmed clustering with
                                  cardinality constraints  . . . . . . . . 637--654
          Justin Harrington and   
 Matias Salibián-Barrera   Finding approximate solutions to
                                  combinatorial problems with very large
                                  data sets using BIRCH  . . . . . . . . . 655--667
                A. M. Hanea and   
               D. Kurowicka and   
                R. M. Cooke and   
                   D. A. Ababei   Mining and visualising ordinal data with
                                  non-parametric continuous BBNs . . . . . 668--687
                      Bo Hu and   
                   Kam-Wah Tsui   Distributed evolutionary Monte Carlo for
                                  Bayesian computing . . . . . . . . . . . 688--697
       Alessandra Iacobucci and   
          Jean-Michel Marin and   
               Christian Robert   On variance stabilisation in Population
                                  Monte Carlo by double
                                  Rao--Blackwellisation  . . . . . . . . . 698--710
           P. D. McNicholas and   
               T. B. Murphy and   
               A. F. McDaid and   
                       D. Frost   Serial and parallel implementations of
                                  model-based clustering via parsimonious
                                  Gaussian mixture models  . . . . . . . . 711--723
        Jacques Poitevineau and   
                 Bruno Lecoutre   Implementing Bayesian predictive
                                  procedures: the $K$-prime and $K$-square
                                  distributions  . . . . . . . . . . . . . 724--731
           Chandan K. Reddy and   
                Bala Rajaratnam   Learning mixture models via
                                  component-wise parameter smoothing . . . 732--749
           Foued Saâdaoui   Acceleration of the EM algorithm via
                                  extrapolation methods: Review,
                                  comparison and new methods . . . . . . . 750--766
                Han-Ming Wu and   
              Yin-Jing Tien and   
                 Chun-houh Chen   GAP: a graphical environment for matrix
                                  visualization and cluster analysis . . . 767--778
                Guijun Yang and   
               Zhigang Wang and   
                       Wei Deng   Unbiased generalized quasi-regression    779--789
             Recai M. Yucel and   
                 Hakan Demirtas   Impact of non-normal random effects on
                                  inference by multiple imputation: a
                                  simulation assessment  . . . . . . . . . 790--801

Computational Statistics & Data Analysis
Volume 54, Number 4, April 1, 2010

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi--viii
          Reinhard Vonthein and   
                Andreas Ziegler   On the Use of the Terms Repeatability
                                  and Reproducibility Regarding
                                  ``Reproducibility of genotypes as
                                  measured by the Affymetrix GeneChip(R)
                                  100K Human Mapping Array Set'' by
                                  Fridley and colleagues (2008) Comput.
                                  Stat. Data Anal. \bf 52:5367--74 . . . . 803
            Joachim Röhmel   Comparing two independent samples using
                                  the risk difference under inverse
                                  sampling . . . . . . . . . . . . . . . . 804--805
         R. J. O'Hara Hines and   
                 W. G. S. Hines   Indices for covariance mis-specification
                                  in longitudinal data analysis with no
                                  missing responses and with MAR drop-outs 806--815
          Raffaele Argiento and   
       Alessandra Guglielmi and   
              Antonio Pievatolo   Bayesian density estimation and model
                                  selection using nonparametric
                                  hierarchical mixtures  . . . . . . . . . 816--832
Dayna P. Saldaña-Zepeda and   
    Humberto Vaquera-Huerta and   
                Barry C. Arnold   A goodness of fit test for the Pareto
                                  distribution in the presence of Type II
                                  censoring, based on the cumulative
                                  hazard function  . . . . . . . . . . . . 833--842
                  M. Schyns and   
              G. Haesbroeck and   
                   F. Critchley   RelaxMCD: Smooth optimisation for the
                                  Minimum Covariance Determinant estimator 843--857
            Pierre Duchesne and   
      Pierre Lafaye De Micheaux   Computing the distribution of quadratic
                                  forms: Further comparisons between the
                                  Liu--Tang--Zhang approximation and exact
                                  methods  . . . . . . . . . . . . . . . . 858--862
                S. W. Human and   
             S. Chakraborti and   
                     C. F. Smit   Shewhart-type control charts for
                                  variation in phase $I$ data analysis . . 863--874
         Adeniyi J. Adewale and   
                    Xiaojian Xu   Robust designs for generalized linear
                                  models with possible overdispersion and
                                  misspecified link functions  . . . . . . 875--890
                Yanrong Cao and   
                 Haiqun Lin and   
                Tracy Z. Wu and   
                         Yan Yu   Penalized spline estimation for
                                  functional coefficient regression models 891--905
                 Ren-Dao Ye and   
                Tie-Feng Ma and   
                  Song-Gui Wang   Inferences on the common mean of several
                                  inverse Gaussian populations . . . . . . 906--915
               C. L. Alston and   
                K. L. Mengersen   Allowing for the effect of data binning
                                  in a Bayesian Normal mixture model . . . 916--923
            Ramesh C. Gupta and   
                Sergey Lvin and   
                     Cheng Peng   Estimating turning points of the failure
                                  rate of the extended Weibull
                                  distribution . . . . . . . . . . . . . . 924--934
           Rodrigo B. Silva and   
       Wagner Barreto-Souza and   
              Gauss M. Cordeiro   A new distribution with decreasing,
                                  increasing and upside-down bathtub
                                  failure rate . . . . . . . . . . . . . . 935--944
          Rodrigo R. Pescim and   
Clarice G. B. Demétrio and   
          Gauss M. Cordeiro and   
         Edwin M. M. Ortega and   
              Mariana R. Urbano   The beta generalized half-normal
                                  distribution . . . . . . . . . . . . . . 945--957
                   Yulia R. Gel   Test of fit for a Laplace distribution
                                  against heavier tailed alternatives  . . 958--965
              Vivian Lanius and   
                  Ursula Gather   Robust online signal extraction from
                                  multivariate time series . . . . . . . . 966--975
                Li-Ping Zhu and   
                    Zhou Yu and   
                    Li-Xing Zhu   A sparse eigen-decomposition estimation
                                  in semiparametric regression . . . . . . 976--986
       Esmeralda A. Ramalho and   
          Joaquim J. S. Ramalho   Is neglected heterogeneity really an
                                  issue in binary and fractional
                                  regression models? A simulation exercise
                                  for logit, probit and loglog models  . . 987--1001
      Luis Hernando Vanegas and   
Francisco José A. Cysneiros   Assessment of diagnostic procedures in
                                  symmetrical nonlinear regression models  1002--1016
     Elizabeth M. Hashimoto and   
         Edwin M. M. Ortega and   
          Vicente G. Cancho and   
              Gauss M. Cordeiro   The log-exponentiated Weibull regression
                                  model for interval-censored data . . . . 1017--1035
                    Liya Fu and   
               You-Gan Wang and   
                    Zhidong Bai   Rank regression for analysis of
                                  clustered data: a natural induced
                                  smoothing approach . . . . . . . . . . . 1036--1050
                Nicoleta Serban   Noise reduction for enhanced component
                                  identification in multi-dimensional
                                  biomolecular NMR studies . . . . . . . . 1051--1065
                    Wei Gao and   
             Ning-Zhong Shi and   
               Man-Lai Tang and   
                 Lianyan Fu and   
                  Guoliang Tian   Unified generalized iterative scaling
                                  and its applications . . . . . . . . . . 1066--1078
                  Haiyan Su and   
                      Hua Liang   An empirical likelihood-based method for
                                  comparison of treatment effects --- Test
                                  of equality of coefficients in linear
                                  models . . . . . . . . . . . . . . . . . 1079--1088
               Junlong Zhao and   
                     Xiuli Zhao   Dimension reduction using the
                                  generalized gradient direction . . . . . 1089--1102
            Michael Bruce Swift   A simulation study comparing methods for
                                  calculating confidence intervals for
                                  directly standardized rates  . . . . . . 1103--1108
                  Ling Chen and   
                    Jianguo Sun   A multiple imputation approach to the
                                  analysis of interval-censored failure
                                  time data with the additive hazards
                                  model  . . . . . . . . . . . . . . . . . 1109--1116
                     Toru Ogura   A variable selection method in principal
                                  canonical correlation analysis . . . . . 1117--1123
                George C. Tseng   Quantile map: Simultaneous visualization
                                  of patterns in many distributions with
                                  application to tandem mass spectrometry  1124--1137
              Paul Thompson and   
                  Yuzhi Cai and   
                Rana Moyeed and   
              Dominic Reeve and   
                 Julian Stander   Bayesian nonparametric quantile
                                  regression using splines . . . . . . . . 1138--1150
           Nicholas T. Longford   Small area estimation with spatial
                                  similarity . . . . . . . . . . . . . . . 1151--1166
                  Damien Garcia   Robust smoothing of gridded data in one
                                  and higher dimensions with missing
                                  values . . . . . . . . . . . . . . . . . 1167--1178
                      Dong Wang   Modeling epigenetic modifications under
                                  multiple treatment conditions  . . . . . 1179--1189
        Bruce R. Hargreaves and   
           Thomas P. McWilliams   Polynomial Trendline function flaws in
                                  Microsoft Excel  . . . . . . . . . . . . 1190--1196

Computational Statistics & Data Analysis
Volume 54, Number 5, May 1, 2010

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi--vii
             Junni L. Zhang and   
        Wolfgang K. Härdle   The Bayesian Additive Classification
                                  Tree applied to credit risk modelling    1197--1205
               Helga Wagner and   
            Regina Tüchler   Bayesian estimation of random effects
                                  models for multivariate responses of
                                  mixed data . . . . . . . . . . . . . . . 1206--1218
          Laura M. Sangalli and   
          Piercesare Secchi and   
             Simone Vantini and   
                Valeria Vitelli   $k$-mean alignment for curve clustering  1219--1233
                  Zhao Yang and   
            James W. Hardin and   
                 Cheryl L. Addy   Score tests for overdispersion in
                                  zero-inflated Poisson mixed models . . . 1234--1246
                 Namgil Lee and   
                   Jong-Min Kim   Conversion of categorical variables into
                                  numerical variables via Bayesian network
                                  classifiers for binary classifications   1247--1265
           Camila B. Zeller and   
           Filidor V. Labra and   
           Victor H. Lachos and   
                N. Balakrishnan   Influence analyses of
                                  skew-normal/independent linear mixed
                                  models . . . . . . . . . . . . . . . . . 1266--1280
              Dewi Rahardja and   
                  Dean M. Young   Credible sets for risk ratios in
                                  over-reported two-sample binomial data
                                  using the double-sampling scheme . . . . 1281--1287
              Marcus Hutter and   
                 Minh-Ngoc Tran   Model selection with the Loss Rank
                                  Principle  . . . . . . . . . . . . . . . 1288--1306
           Artur J. Lemonte and   
       Silvia L. P. Ferrari and   
         Francisco Cribari-Neto   Improved likelihood inference in
                                  Birnbaum--Saunders regressions . . . . . 1307--1316
         Melissa A. Bingham and   
          Daniel J. Nordman and   
            Stephen B. Vardeman   Finite-sample investigation of
                                  likelihood and Bayes inference for the
                                  symmetric von Mises--Fisher distribution 1317--1327
               Wan-Lun Wang and   
                  Tsai-Hung Fan   ECM-based maximum likelihood inference
                                  for multivariate linear mixed models
                                  with autoregressive errors . . . . . . . 1328--1341
             Assam Pryseley and   
               Abel Tilahun and   
               Ariel Alonso and   
              Geert Molenberghs   Using earlier measures in a longitudinal
                                  sequence as a potential surrogate for a
                                  later one  . . . . . . . . . . . . . . . 1342--1354
               Nicolas Verzelen   Data-driven neighborhood selection of a
                                  Gaussian field . . . . . . . . . . . . . 1355--1371
                 Shu-Fei Wu and   
                Ying-Po Lin and   
                      Yuh-Ru Yu   One-stage multiple comparisons with the
                                  control for exponential location
                                  parameters under heteroscedasticity  . . 1372--1380
             Nobuoki Eshima and   
                  Minoru Tabata   Entropy coefficient of determination for
                                  generalized linear models  . . . . . . . 1381--1389
            Ricardo Fraiman and   
                 Ana Justel and   
                  Marcela Svarc   Pattern recognition via projection-based
                                  $k$NN rules  . . . . . . . . . . . . . . 1390--1403
                       Steve Su   Erratum to: ``Confidence intervals for
                                  quantiles using generalized lambda
                                  distributions'' [Comput. Statist. Data
                                  Anal. \bf 53 (2009) 3324--3333]  . . . . 1404
       David R. J. Pleydell and   
Stéphane Chrétien   Mixtures of GAMs for habitat suitability
                                  analysis with overdispersed
                                  presence/absence data  . . . . . . . . . 1405--1418

Computational Statistics & Data Analysis
Volume 54, Number 6, June 1, 2010

                      Anonymous   Contents . . . . . . . . . . . . . . . . iii--iv
                      Anonymous   Editorial Board  . . . . . . . . . . . . v--vii
                      Yaming Yu   Strict monotonicity and convergence rate
                                  of Titterington's algorithm for
                                  computing $D$-optimal designs  . . . . . 1419--1425
             Bart Vermeulen and   
                 Peter Goos and   
             Martina Vandebroek   Obtaining more information from conjoint
                                  experiments by best--worst choices . . . 1426--1433
                 Andrew G. Glen   Accurate estimation with one order
                                  statistic  . . . . . . . . . . . . . . . 1434--1441
                Kaspar Rufibach   An active set algorithm to estimate
                                  parameters in generalized linear models
                                  with ordered predictors  . . . . . . . . 1442--1456
José Cortiñas Abrahantes and   
             Tomasz Burzykowski   Simplified modeling strategies for
                                  surrogate validation with multivariate
                                  failure-time data  . . . . . . . . . . . 1457--1466
                  Linzhi Xu and   
                   Jiajia Zhang   An EM-like algorithm for the
                                  semiparametric accelerated failure time
                                  gamma frailty model  . . . . . . . . . . 1467--1474
         Mortaza Jamshidian and   
                    Wei Liu and   
                    Frank Bretz   Simultaneous confidence bands for all
                                  contrasts of three or more simple linear
                                  regression models over an interval . . . 1475--1483
            K. De Brabanter and   
            J. De Brabanter and   
           J. A. K. Suykens and   
                     B. De Moor   Optimized fixed-size kernel models for
                                  large data sets  . . . . . . . . . . . . 1484--1504
               D. K. J. Lin and   
                  C. Sharpe and   
                      P. Winker   Optimized $U$-type designs on flexible
                                  regions  . . . . . . . . . . . . . . . . 1505--1515
           Raffaella Piccarreta   Binary trees for dissimilarity data  . . 1516--1524
                   Yan Yang and   
                Douglas Simpson   Unified computational methods for
                                  regression analysis of zero-inflated and
                                  bound-inflated data  . . . . . . . . . . 1525--1534
            Koen W. De Bock and   
         Kristof Coussement and   
              Dirk Van den Poel   Ensemble classification based on
                                  generalized additive models  . . . . . . 1535--1546
              Debasis Kundu and   
                 Hatem Howlader   Bayesian inference and prediction of the
                                  inverse Weibull distribution for Type-II
                                  censored data  . . . . . . . . . . . . . 1547--1558
              Swagata Nandi and   
                     Isha Dewan   An EM algorithm for estimating the
                                  parameters of bivariate Weibull
                                  distribution under random censoring  . . 1559--1569
                    Eric J. Beh   The aggregate association index  . . . . 1570--1580
                 D. G. Chen and   
                      Y. L. Lio   Parameter estimations for generalized
                                  exponential distribution under
                                  progressive type-I interval censoring    1581--1591
        Jörn Dannemann and   
                  Hajo Holzmann   Testing for two components in a
                                  switching regression model . . . . . . . 1592--1604
                    Peng Li and   
               Shengli Zhao and   
                   Runchu Zhang   A cluster analysis selection strategy
                                  for supersaturated designs . . . . . . . 1605--1612
                 Jin-Jian Hsieh   Estimation of Kendall's tau from
                                  censored data  . . . . . . . . . . . . . 1613--1621
Patrícia de Siqueira Ramos and   
        Daniel Furtado Ferreira   A Bayesian solution to the multivariate
                                  Behrens--Fisher problem  . . . . . . . . 1622--1633
                   Qin Zhou and   
                Yunzhao Luo and   
                   Zhaojun Wang   A control chart based on likelihood
                                  ratio test for detecting patterned mean
                                  and variance shifts  . . . . . . . . . . 1634--1645
                     D. G. Chen   Incorporating historical control
                                  information into quantal bioassay with
                                  Bayesian approach  . . . . . . . . . . . 1646--1656
           David C. Wheeler and   
          DeMarc A. Hickson and   
                Lance A. Waller   Assessing local model adequacy in
                                  Bayesian hierarchical models using the
                                  partitioned deviance information
                                  criterion  . . . . . . . . . . . . . . . 1657--1671
                Paul H. Lee and   
                Philip L. H. Yu   Distance-based tree models for ranking
                                  data . . . . . . . . . . . . . . . . . . 1672--1682
           Douglas P. Wiens and   
                  Eden K. H. Wu   A comparative study of robust designs
                                  for $M$-estimated regression models  . . 1683--1695
              Achim Zeileis and   
                  Ajay Shah and   
                    Ila Patnaik   Testing, monitoring, and dating
                                  structural changes in exchange rate
                                  regimes  . . . . . . . . . . . . . . . . 1696--1706

Computational Statistics & Data Analysis
Volume 54, Number 7, July 1, 2010

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi--vii
          Michael P. Holmes and   
          Alexander G. Gray and   
        Charles Lee Isbell, Jr.   Fast kernel conditional density
                                  estimation: a dual-tree Monte Carlo
                                  approach . . . . . . . . . . . . . . . . 1707--1718
       Genevi\`eve Lefebvre and   
             Russell Steele and   
                Alain C. Vandal   A path sampling identity for computing
                                  the Kullback--Leibler and $J$
                                  divergences  . . . . . . . . . . . . . . 1719--1731
          Mohammad Z. Raqab and   
             A. Asgharzadeh and   
                  R. Valiollahi   Prediction for Pareto distribution based
                                  on progressively Type-II censored
                                  samples  . . . . . . . . . . . . . . . . 1732--1743
                      Yong Wang   Fisher scoring: an interpolation family
                                  and its Monte Carlo implementations  . . 1744--1755
                 Tzu-Tsung Wong   Parameter estimation for generalized
                                  Dirichlet distributions from the sample
                                  estimates of the first and the second
                                  moments of random variables  . . . . . . 1756--1765
            Carey E. Priebe and   
              Youngser Park and   
         David J. Marchette and   
             John M. Conroy and   
          John Grothendieck and   
                 Allen L. Gorin   Statistical inference on attributed
                                  random graphs: Fusion of graph features
                                  and content: an experiment on time
                                  series of Enron graphs . . . . . . . . . 1766--1776
          John Grothendieck and   
            Carey E. Priebe and   
                 Allen L. Gorin   Statistical inference on attributed
                                  random graphs: Fusion of graph features
                                  and content  . . . . . . . . . . . . . . 1777--1790
                  Inge Koch and   
                    Kanta Naito   Prediction of multivariate responses
                                  with a selected number of principal
                                  components . . . . . . . . . . . . . . . 1791--1807
                  Linzhi Xu and   
                   Jiajia Zhang   Multiple imputation method for the
                                  semiparametric accelerated failure time
                                  mixture cure model . . . . . . . . . . . 1808--1816
               Xinyan Zhang and   
                    Jianguo Sun   Regression analysis of clustered
                                  interval-censored failure time data with
                                  informative cluster size . . . . . . . . 1817--1823
    Anastasios Panagiotelis and   
                  Michael Smith   Bayesian skew selection for multivariate
                                  models . . . . . . . . . . . . . . . . . 1824--1839
             Arne C. Bathke and   
          Solomon W. Harrar and   
                Haiyan Wang and   
                   Ke Zhang and   
              Hans-Peter Piepho   Series of randomized complete block
                                  experiments with non-normal data . . . . 1840--1857
       Marieke E. Timmerman and   
              Eva Ceulemans and   
           Henk A. L. Kiers and   
                 Maurizio Vichi   Factorial and reduced $K$-means
                                  reconsidered . . . . . . . . . . . . . . 1858--1871
                   Kuo-Chin Lin   Goodness-of-fit tests for modeling
                                  longitudinal ordinal data  . . . . . . . 1872--1880
         Sara Kherad-Pajouh and   
                 Olivier Renaud   An exact permutation method for testing
                                  any effect in balanced and unbalanced
                                  fixed effect ANOVA . . . . . . . . . . . 1881--1893

Computational Statistics & Data Analysis
Volume 54, Number 8, August 1, 2010

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi--vii
             F. Konietschke and   
               A. C. Bathke and   
              L. A. Hothorn and   
                     E. Brunner   Testing and estimation of purely
                                  nonparametric effects in repeated
                                  measures designs . . . . . . . . . . . . 1895--1905
       Math J. J. M. Candel and   
     Gerard J. P. Van Breukelen   $D$-optimality of unequal versus equal
                                  cluster sizes for mixed effects linear
                                  regression analysis of randomized trials
                                  with clusters in one treatment arm . . . 1906--1920
                     Binbing Yu   A Bayesian MCMC approach to survival
                                  analysis with doubly-censored data . . . 1921--1929
               Byungtae Seo and   
               Bruce G. Lindsay   A computational strategy for doubly
                                  smoothed MLE exemplified in the normal
                                  mixture model  . . . . . . . . . . . . . 1930--1941
    Cédric Heuchenne and   
            Ingrid Van Keilegom   Goodness-of-fit tests for the error
                                  distribution in nonparametric regression 1942--1951
                  Ying Chen and   
               Chi Kin Chan and   
        Bartholomew P. K. Leung   An analysis of three-level orthogonal
                                  saturated designs  . . . . . . . . . . . 1952--1961
             N. K. Unnikrishnan   Bayesian analysis for outliers in survey
                                  sampling . . . . . . . . . . . . . . . . 1962--1974
             Xuerong Meggie Wen   On sufficient dimension reduction for
                                  proportional censorship model with
                                  covariates . . . . . . . . . . . . . . . 1975--1982
     Juan Carlos Escanciano and   
                 Silvia Mayoral   Data-driven smooth tests for the
                                  martingale difference hypothesis . . . . 1983--1998
         Megan Dailey Higgs and   
            Jennifer A. Hoeting   A clipped latent variable model for
                                  spatially correlated ordered categorical
                                  data . . . . . . . . . . . . . . . . . . 1999--2011
               Sandra Ramos and   
Antónia Amaral Turkman and   
         Marília Antunes   Bayesian classification for bivariate
                                  normal gene expression . . . . . . . . . 2012--2020
        V. J. García and   
E. Gómez-Déniz and   
      F. J. Vázquez-Polo   A new skew generalization of the normal
                                  distribution: Properties and
                                  applications . . . . . . . . . . . . . . 2021--2034
  Pablo Martínez-Camblor   Nonparametric $k$-sample test based on
                                  kernel density estimator for paired
                                  design . . . . . . . . . . . . . . . . . 2035--2045
               Yuk-Ka Chung and   
               Wing K. Fung and   
                    Yue-Qing Hu   Familial database search on two-person
                                  mixture  . . . . . . . . . . . . . . . . 2046--2051

Computational Statistics & Data Analysis
Volume 54, Number 9, September 1, 2010

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi
          Wolfgang Kössler   Max-type rank tests, $U$-tests, and
                                  adaptive tests for the two-sample
                                  location problem --- An asymptotic power
                                  study  . . . . . . . . . . . . . . . . . 2053--2065
               Donghoon Han and   
                N. Balakrishnan   Inference for a simple step-stress model
                                  with competing risks for failure from
                                  the exponential distribution under time
                                  constraint . . . . . . . . . . . . . . . 2066--2081
               Silvia Ojeda and   
             Ronny Vallejos and   
                   Oscar Bustos   A new image segmentation algorithm with
                                  applications to image inpainting . . . . 2082--2093
               Ruud Wetzels and   
     Raoul P. P. P. Grasman and   
           Eric-Jan Wagenmakers   An encompassing prior generalization of
                                  the Savage--Dickey density ratio . . . . 2094--2102
                    Xin Lai and   
               Kelvin K. W. Yau   Extending the long-term survivor mixture
                                  model with random effects for clustered
                                  survival data  . . . . . . . . . . . . . 2103--2112
                 Jinxin Gao and   
             David B. Hitchcock   James--Stein shrinkage to improve
                                  $k$-means cluster analysis . . . . . . . 2113--2127
         Freedom N. Gumedze and   
              Sue J. Welham and   
          Beverley J. Gogel and   
                 Robin Thompson   A variance shift model for detection of
                                  outliers in the linear mixed model . . . 2128--2144
              Xue-Dong Chen and   
                Nian-Sheng Tang   Bayesian analysis of semiparametric
                                  reproductive dispersion mixed-effects
                                  models . . . . . . . . . . . . . . . . . 2145--2158
             Nicola Salvati and   
              Hukum Chandra and   
        M. Giovanna Ranalli and   
                   Ray Chambers   Small area estimation using a
                                  nonparametric model-based direct
                                  estimator  . . . . . . . . . . . . . . . 2159--2171
                Mingan Yang and   
            David B. Dunson and   
                    Donna Baird   Semiparametric Bayes hierarchical models
                                  with mean and variance constraints . . . 2172--2186
              Josep Ginebra and   
                    Xavier Puig   On the measure and the estimation of
                                  evenness and diversity . . . . . . . . . 2187--2201

Computational Statistics & Data Analysis
Volume 54, Number 10, October 1, 2010

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi--vii
       Yuan-Chin Ivan Chang and   
                Yufen Huang and   
                   Yu-Pai Huang   Early stopping in $ L_2 $ Boosting . . . 2203--2213
            Mohamed Chaouch and   
                   Camelia Goga   Design-based estimation for geometric
                                  quantiles with application to outlier
                                  detection  . . . . . . . . . . . . . . . 2214--2229
              Xiaoming Wang and   
               Taesung Park and   
                 K. C. Carriere   Variable selection via combined
                                  penalization for high-dimensional data
                                  analysis . . . . . . . . . . . . . . . . 2230--2243
               Jiujun Zhang and   
                Zhonghua Li and   
                   Zhaojun Wang   A multivariate control chart for
                                  simultaneously monitoring process mean
                                  and variability  . . . . . . . . . . . . 2244--2252
                D. S. Young and   
                   D. R. Hunter   Mixtures of regressions with
                                  predictor-dependent mixing proportions   2253--2266
               Ian R. White and   
               Rhian Daniel and   
                Patrick Royston   Avoiding bias due to perfect prediction
                                  in multiple imputation of incomplete
                                  categorical variables  . . . . . . . . . 2267--2275
              Seongjoo Song and   
             Dan L. Nicolae and   
                   Jongwoo Song   Estimating the mixing proportion in a
                                  semiparametric mixture model . . . . . . 2276--2283
        Fabrizio Consentino and   
                Gerda Claeskens   Order selection tests with multiply
                                  imputed data . . . . . . . . . . . . . . 2284--2295
           David Afshartous and   
             Richard A. Preston   Confidence intervals for dependent data:
                                  Equating non-overlap with statistical
                                  significance . . . . . . . . . . . . . . 2296--2305
                Dexter O. Cahoy   A bootstrap test for equality of
                                  variances  . . . . . . . . . . . . . . . 2306--2316
              Peter Zörnig   Statistical simulation and the
                                  distribution of distances between
                                  identical elements in a random sequence  2317--2327
           Longcheen Huwang and   
            Chun-Jung Huang and   
               Yi-Hua Tina Wang   New EWMA control charts for monitoring
                                  process dispersion . . . . . . . . . . . 2328--2342
       Hans-Friedrich Köhn   Representation of individual differences
                                  in rectangular proximity data through
                                  anti-$Q$ matrix decomposition  . . . . . 2343--2357
                 Daniel Gervini   Retracted: the functional singular value
                                  decomposition for bivariate stochastic
                                  processes  . . . . . . . . . . . . . . . 2358

Computational Statistics & Data Analysis
Volume 54, Number 11, November 1, 2010

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi--vii
           David A. Belsley and   
            Pierre Duchesne and   
          George Kapetanios and   
Erricos John Kontoghiorghes and   
              Marc Paolella and   
             Herman K. van Dijk   The Fifth Special Issue on Computational
                                  Econometrics . . . . . . . . . . . . . . 2359
                 Tansel Alp and   
               Matei Demetrescu   Joint forecasts of Dow Jones stocks
                                  under general multivariate loss function 2360--2371
          Francesco Audrino and   
                   Fulvio Corsi   Modeling tick-by-tick realized
                                  correlations . . . . . . . . . . . . . . 2372--2382
        M. Concepcion Ausin and   
              Hedibert F. Lopes   Time-varying joint distribution through
                                  copulas  . . . . . . . . . . . . . . . . 2383--2399
                Luc Bauwens and   
           Walid Ben Omrane and   
                  Erick Rengifo   Intradaily dynamic portfolio selection   2400--2418
           Walid Ben Omrane and   
          Andréas Heinen   Public news announcements and quoting
                                  activity in the euro/dollar foreign
                                  exchange market  . . . . . . . . . . . . 2419--2431
                  Jan Beran and   
      Martin Schützner and   
                Sucharita Ghosh   From short to long memory: Aggregation
                                  and estimation . . . . . . . . . . . . . 2432--2442
              Monica Billio and   
           Massimiliano Caporin   Market linkages, variance spillovers,
                                  and correlation stability: Empirical
                                  evidence of financial contagion  . . . . 2443--2458
                 Kris Boudt and   
               Christophe Croux   Robust $M$-estimation of multivariate
                                  GARCH models . . . . . . . . . . . . . . 2459--2469
         Fabrizio Cipollini and   
             Giampiero M. Gallo   Automated variable selection in vector
                                  multiplicative error models  . . . . . . 2470--2486
                     J. Dai and   
                    S. Sperlich   Simple and effective boundary correction
                                  for kernel densities and regression with
                                  an application to the world income and
                                  Engel curve estimation . . . . . . . . . 2487--2497
             James Davidson and   
               Andrea Monticini   Tests for cointegration with structural
                                  breaks based on subsamples . . . . . . . 2498--2511
            Pierre Duchesne and   
                 Linyuan Li and   
           Jill Vandermeerschen   On testing for serial correlation of
                                  unknown form using wavelet thresholding  2512--2531
          Jean-Marie Dufour and   
            Abderrahim Taamouti   Exact optimal inference in regression
                                  models under heteroskedasticity and
                                  non-normality of unknown form  . . . . . 2532--2553
          Jean-Marie Dufour and   
               Lynda Khalaf and   
                  Maral Kichian   Estimation uncertainty in structural
                                  inflation models with real wage
                                  rigidities . . . . . . . . . . . . . . . 2554--2561
                Dean Fantazzini   Three-stage semi-parametric estimation
                                  of $T$-copulas: Asymptotics,
                                  finite-sample properties and
                                  computational aspects  . . . . . . . . . 2562--2579
         Aurea Grané and   
                   Helena Veiga   Wavelet-based detection of outliers in
                                  financial time series  . . . . . . . . . 2580--2593
              J. E. Griffin and   
                 M. F. J. Steel   Bayesian inference with stochastic
                                  volatility models using continuous
                                  superpositions of non-Gaussian
                                  Ornstein--Uhlenbeck processes  . . . . . 2594--2608
        Christian M. Hafner and   
                 Olga Reznikova   Efficient estimation of a semiparametric
                                  dynamic copula model . . . . . . . . . . 2609--2627
               Zhongfang He and   
                  John M. Maheu   Real time detection of structural breaks
                                  in GARCH models  . . . . . . . . . . . . 2628--2640
           Irma Hindrayanto and   
           Siem Jan Koopman and   
                    Marius Ooms   Exact maximum likelihood estimation for
                                  non-stationary periodic time series
                                  models . . . . . . . . . . . . . . . . . 2641--2654
          George Kapetanios and   
        Massimiliano Marcellino   Factor-GMM estimation with large sets of
                                  possibly weak instruments  . . . . . . . 2655--2675
                 Thomas Lux and   
         Leonardo Morales-Arias   Forecasting volatility under fractality,
                                  regime-switching, long memory and
                                  Student-$t$ innovations  . . . . . . . . 2676--2692
                    M. Lyra and   
                    J. Paha and   
               S. Paterlini and   
                      P. Winker   Optimization heuristics for determining
                                  internal rating grading scales . . . . . 2693--2706
               J. C. Naylor and   
             A. R. Tremayne and   
                 J. M. Marriott   Exploratory data analysis and model
                                  criticism with posterior plots . . . . . 2707--2720
          Yoshihiro Ohtsuka and   
                Takashi Oga and   
                Kazuhiko Kakamu   Forecasting electricity demand in Japan:
                                  a Bayesian spatial autoregressive ARMA
                                  approach . . . . . . . . . . . . . . . . 2721--2735
             Yasuhiro Omori and   
                  Koji Miyawaki   Tobit model with covariate dependent
                                  thresholds . . . . . . . . . . . . . . . 2736--2752
              S. Pastorello and   
                       E. Rossi   Efficient importance sampling maximum
                                  likelihood estimation of stochastic
                                  differential equations . . . . . . . . . 2753--2762
           Krishna Pendakur and   
             Michael Scholz and   
                Stefan Sperlich   Semiparametric indirect utility and
                                  consumer demand  . . . . . . . . . . . . 2763--2775
          Paolo Postiglione and   
          Roberto Benedetti and   
              Giovanni Lafratta   A regression tree algorithm for the
                                  identification of convergence clubs  . . 2776--2785
                   E. Rossi and   
                    F. Spazzini   Model and distribution uncertainty in
                                  multivariate GARCH estimation: a Monte
                                  Carlo analysis . . . . . . . . . . . . . 2786--2800
              Dong Wan Shin and   
                    Sangun Park   Robust panel unit root tests for
                                  cross-sectionally dependent multiple
                                  time series  . . . . . . . . . . . . . . 2801--2813
                   Ingvar Strid   Efficient parallelisation of
                                  Metropolis--Hastings algorithms using a
                                  prefetching approach . . . . . . . . . . 2814--2835
            E. E. Vassiliou and   
                I. C. Demetriou   A linearly distributed lag estimator
                                  with $r$-convex coefficients . . . . . . 2836--2849
                J. A. Vilar and   
               A. M. Alonso and   
                    J. M. Vilar   Non-linear time series clustering based
                                  on non-parametric forecast densities . . 2850--2865
                       Hao Wang   Sparse seemingly unrelated regression
                                  modelling: Applications in finance and
                                  econometrics . . . . . . . . . . . . . . 2866--2877

Computational Statistics & Data Analysis
Volume 54, Number 12, December 1, 2010

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi--viii
           Stefan Van Aelst and   
                 Roy Welsch and   
                 Ruben H. Zamar   Special issue on variable selection and
                                  robust procedures  . . . . . . . . . . . 2879--2882
         C. A. Abanto-Valle and   
           D. Bandyopadhyay and   
               V. H. Lachos and   
                    I. Enriquez   Robust Bayesian analysis of heavy-tailed
                                  stochastic volatility models using scale
                                  mixtures of normal distributions . . . . 2883--2898
              Jorge Adrover and   
        Matias Salibian-Barrera   Globally robust confidence intervals for
                                  simple linear regression . . . . . . . . 2899--2913
   Pedro C. Alvarez-Esteban and   
        Eustasio del Barrio and   
    Juan A. Cuesta-Albertos and   
           Carlos Matrán   Assessing when a sample is mostly normal 2914--2925
           Rodrigo M. Basso and   
    Víctor H. Lachos and   
Celso Rômulo Barbosa Cabral and   
                    Pulak Ghosh   Robust mixture modeling based on scale
                                  mixtures of skew-normal distributions    2926--2941
            Graciela Boente and   
              Daniela Rodriguez   Robust inference in generalized
                                  partially linear models  . . . . . . . . 2942--2966
            Graciela Boente and   
               Ana M. Pires and   
            Isabel M. Rodrigues   Detecting influential observations in
                                  principal components and common
                                  principal components . . . . . . . . . . 2967--2975
               Simone Borra and   
            Agostino Di Ciaccio   Measuring the prediction error. A
                                  comparison of cross-validation,
                                  bootstrap and covariance penalty methods 2976--2989
              Yin-Ping Chen and   
           Hsin-Cheng Huang and   
                      I-Ping Tu   A new approach for selecting the number
                                  of factors . . . . . . . . . . . . . . . 2990--2998
           Christophe Croux and   
               Sarah Gelper and   
                    Koen Mahieu   Robust exponential smoothing of
                                  multivariate time series . . . . . . . . 2999--3006
           Michiel Debruyne and   
                 Mia Hubert and   
             Johan Van Horebeek   Detecting influential observations in
                                  Kernel PCA . . . . . . . . . . . . . . . 3007--3019
          E. Dupuis Lozeron and   
           M. P. Victoria-Feser   Robust estimation of constrained
                                  covariance matrices for confirmatory
                                  factor analysis  . . . . . . . . . . . . 3020--3032
              Takeshi Emura and   
              Chien-Wei Lin and   
                   Weijing Wang   A goodness-of-fit test for Archimedean
                                  copula models in the presence of right
                                  censoring  . . . . . . . . . . . . . . . 3033--3043
                Salvador Flores   On the efficient computation of robust
                                  regression estimators  . . . . . . . . . 3044--3056
L. A. García-Escudero and   
               A. Gordaliza and   
              A. Mayo-Iscar and   
           R. San Martín   Robust clusterwise linear regression
                                  through trimming . . . . . . . . . . . . 3057--3069
               Anna Gottard and   
                 Simona Pacillo   Robust concentration graph model
                                  selection  . . . . . . . . . . . . . . . 3070--3079
         Thaddeus J. Haight and   
                   Yue Wang and   
       Mark J. van der Laan and   
                   Ira B. Tager   A cross-validation
                                  deletion--substitution--addition model
                                  selection algorithm: Application to
                                  marginal structural models . . . . . . . 3080--3094
                    K. Hron and   
                   M. Templ and   
                   P. Filzmoser   Imputation of missing values for
                                  compositional data using classical and
                                  robust methods . . . . . . . . . . . . . 3095--3107
    Jana Jure\vcková and   
                  Jan Picek and   
        A. K. Md. Ehsanes Saleh   Rank tests and regression rank score
                                  tests in measurement error models  . . . 3108--3120
              Jafar A. Khan and   
           Stefan Van Aelst and   
                 Ruben H. Zamar   Fast robust estimation of prediction
                                  error based on resampling  . . . . . . . 3121--3130
               Jong Soo Lee and   
                  Dennis D. Cox   Robust smoothing: Smoothing parameter
                                  selection and applications to
                                  fluorescence spectroscopy  . . . . . . . 3131--3143
            Anastasia Lykou and   
                  Joe Whittaker   Sparse CCA using a Lasso with positivity
                                  constraints  . . . . . . . . . . . . . . 3144--3157
      Christopher J. Marley and   
                 David C. Woods   A comparison of design and model
                                  selection methods for supersaturated
                                  experiments  . . . . . . . . . . . . . . 3158--3167
         Ricardo A. Maronna and   
                Victor J. Yohai   Correcting MM estimates for ``fat'' data
                                  sets . . . . . . . . . . . . . . . . . . 3168--3173
         Simos G. Meintanis and   
              Efthimios Tsionas   Testing for the generalized
                                  normal-Laplace distribution with
                                  applications . . . . . . . . . . . . . . 3174--3180
           Rajiv S. Menjoge and   
                  Roy E. Welsch   A diagnostic method for simultaneous
                                  feature selection and outlier
                                  identification in linear regression  . . 3181--3193
                Aleksey Min and   
              Hajo Holzmann and   
                  Claudia Czado   Model selection strategies for
                                  identifying most relevant covariates in
                                  homoscedastic linear models  . . . . . . 3194--3211
               T. D. Nguyen and   
                      R. Welsch   Outlier detection and least trimmed
                                  squares approximation using
                                  semi-definite programming  . . . . . . . 3212--3226
              David J. Nott and   
                   Chenlei Leng   Bayesian projection approaches to
                                  variable selection in generalized linear
                                  models . . . . . . . . . . . . . . . . . 3227--3241
            Robin Nunkesser and   
                  Oliver Morell   An evolutionary algorithm for robust
                                  regression . . . . . . . . . . . . . . . 3242--3248
             Rachida Ouysse and   
                    Robert Kohn   Bayesian variable selection and model
                                  averaging in the arbitrage pricing
                                  theory model . . . . . . . . . . . . . . 3249--3268
        Antony M. Overstall and   
            Jonathan J. Forster   Default Bayesian model determination
                                  methods for generalised linear mixed
                                  models . . . . . . . . . . . . . . . . . 3269--3288
           Stephanie Powers and   
            Richard Gerlach and   
                   James Stamey   Bayesian variable selection for Poisson
                                  regression with underreported responses  3289--3299
                Marco Riani and   
            Anthony C. Atkinson   Robust model selection with flexible
                                  trimming . . . . . . . . . . . . . . . . 3300--3312
             Yves Rozenholc and   
       Thoralf Mildenberger and   
                  Ursula Gather   Combining regular and irregular
                                  histograms by penalized likelihood . . . 3313--3323
                 M. J. Rufo and   
           J. Martín and   
             C. J. Pérez   New approaches to compute Bayes factor
                                  in finite mixture models . . . . . . . . 3324--3335
          Michael Schomaker and   
             Alan T. K. Wan and   
              Christian Heumann   Frequentist Model Averaging with missing
                                  observations . . . . . . . . . . . . . . 3336--3347
                   S. Unkel and   
              N. T. Trendafilov   A majorization algorithm for
                                  simultaneous parameter estimation in
                                  robust exploratory factor analysis . . . 3348--3358
               You-Gan Wang and   
                    Lin-Yee Hin   Modeling strategies in longitudinal data
                                  analysis: Covariate, variance function
                                  and correlation structure selection  . . 3359--3370
               Douglas P. Wiens   Robustness of design for the testing of
                                  lack of fit and for estimation in binary
                                  response models  . . . . . . . . . . . . 3371--3378
               Jesse Barlow and   
          Lars Eldén and   
                   Paolo Foschi   3rd Special issue on matrix computations
                                  and statistics . . . . . . . . . . . . . 3379--3380
              Heidi Arnouts and   
                     Peter Goos   Update formulas for split-plot and block
                                  designs  . . . . . . . . . . . . . . . . 3381--3391
               Marc Hofmann and   
    Erricos John Kontoghiorghes   Matrix strategies for computing the
                                  least trimmed squares estimation of the
                                  general linear and SUR models  . . . . . 3392--3403
          Tsuyoshi Ichimura and   
                 Daisuke Fukuda   A fast algorithm for computing
                                  least-squares cross-validations for
                                  nonparametric conditional kernel density
                                  functions  . . . . . . . . . . . . . . . 3404--3410
             Ivan Markovsky and   
               Mahesan Niranjan   Approximate low-rank factorization with
                                  structured factors . . . . . . . . . . . 3411--3420
            Galen I. Papkov and   
                 David W. Scott   Local-moment nonparametric density
                                  estimation of pre-binned data  . . . . . 3421--3429
         Rosemary A. Renaut and   
  Iveta Hn\vetynková and   
                      Jodi Mead   Regularization parameter estimation for
                                  large-scale Tikhonov regularization
                                  using a priori information . . . . . . . 3430--3445
        Nickolay T. Trendafilov   Stepwise estimation of common principal
                                  components . . . . . . . . . . . . . . . 3446--3457
              Rong-Xian Yue and   
                        Xin Liu   $ I^r_L $-optimal designs for a
                                  hierarchically ordered system of
                                  regression models  . . . . . . . . . . . 3458--3465


Computational Statistics & Data Analysis
Volume 55, Number 1, January 1, 2011

                      Anonymous   Editorial Board  . . . . . . . . . . . . iv--vi
                      Anonymous   Contents . . . . . . . . . . . . . . . . vii--x
             Avijit Joarder and   
               Hare Krishna and   
                  Debasis Kundu   Inferences on Weibull parameters with
                                  conventional type-I censoring  . . . . . 1--11
                  S.-J. Cho and   
                S. Rabe-Hesketh   Alternating imputation posterior
                                  estimation of models with crossed random
                                  effects  . . . . . . . . . . . . . . . . 12--25
                   Hua Zhou and   
                  Kenneth Lange   A fast procedure for calculating
                                  importance weights in bootstrap sampling 26--33
          Jan G. De Gooijer and   
                        Ao Yuan   Some exact tests for manifest properties
                                  of latent trait models . . . . . . . . . 34--44
                John T. Ormerod   Grid based variational approximations    45--56
                  Marius Hofert   Efficiently sampling nested Archimedean
                                  copulas  . . . . . . . . . . . . . . . . 57--70
             Ruggero Bellio and   
                 Luca Grassetti   Semiparametric stochastic frontier
                                  models for clustered data  . . . . . . . 71--83
                Yu Ryan Yue and   
               Håvard Rue   Bayesian inference for additive mixed
                                  quantile regression models . . . . . . . 84--96
        Carlos A. Navarrete and   
           Fernando A. Quintana   Similarity analysis in Bayesian random
                                  partition models . . . . . . . . . . . . 97--109
                   Jie Chen and   
               Jianfeng Luo and   
                Kenneth Liu and   
              Devan V. Mehrotra   On power and sample size computation for
                                  multiple testing procedures  . . . . . . 110--122
          Michael J. Brusco and   
               Douglas Steinley   Exact and approximate algorithms for
                                  variable selection in linear
                                  discriminant analysis  . . . . . . . . . 123--131
           Pierre Barbillon and   
              Gilles Celeux and   
            Agn\`es Grimaud and   
           Yannick Lefebvre and   
    Étienne De Rocquigny   Nonlinear methods for inverse
                                  statistical problems . . . . . . . . . . 132--142
            Masahiro Kuroda and   
                Yuichi Mori and   
              Masaya Iizuka and   
              Michio Sakakihara   Acceleration of the alternating least
                                  squares algorithm for principal
                                  components analysis  . . . . . . . . . . 143--153
                Hugo Hammer and   
         Håkon Tjelmeland   Approximate forward--backward algorithm
                                  for a switching linear Gaussian model    154--167
              Maher Maalouf and   
           Theodore B. Trafalis   Robust weighted kernel logistic
                                  regression in imbalanced and rare events
                                  data . . . . . . . . . . . . . . . . . . 168--183
               Chonggang Xu and   
                 George Gertner   Understanding and comparisons of
                                  different sampling approaches for the
                                  Fourier Amplitudes Sensitivity Test
                                  (FAST) . . . . . . . . . . . . . . . . . 184--198
      William J. McCausland and   
             Shirley Miller and   
                Denis Pelletier   Simulation smoothing for state--space
                                  models: a computational efficiency
                                  analysis . . . . . . . . . . . . . . . . 199--212
              Josef Leydold and   
          Wolfgang Hörmann   Generating generalized inverse Gaussian
                                  random variates by fast inversion  . . . 213--217
          Alexandre G. Patriota   A note on influence diagnostics in
                                  nonlinear mixed-effects elliptical
                                  models . . . . . . . . . . . . . . . . . 218--225
      Gisela Tunes-da-Silva and   
                  John P. Klein   Cutpoint selection for discretizing a
                                  continuous covariate for generalized
                                  estimating equations . . . . . . . . . . 226--235
               Maria Kateri and   
                  Udo Kamps and   
     Narayanaswamy Balakrishnan   Optimal allocation of change points in
                                  simple step-stress experiments under
                                  Type-II censoring  . . . . . . . . . . . 236--247
                 Woojoo Lee and   
                  Johan Lim and   
                Youngjo Lee and   
              Joan del Castillo   The hierarchical-likelihood approach to
                                  autoregressive stochastic volatility
                                  models . . . . . . . . . . . . . . . . . 248--260
     Christian Aßmann and   
            Jens Boysen-Hogrefe   A Bayesian approach to model-based
                                  clustering for binary panel probit
                                  models . . . . . . . . . . . . . . . . . 261--279
             M. W. Pedersen and   
             U. H. Thygesen and   
                      H. Madsen   Nonlinear tracking in a diffusion
                                  process with a Bayesian filter and the
                                  finite element method  . . . . . . . . . 280--290
               Xingqiu Zhao and   
                   Xingwei Tong   Semiparametric regression analysis of
                                  panel count data with informative
                                  observation times  . . . . . . . . . . . 291--300
             Cristina Sotto and   
         Caroline Beunckens and   
          Geert Molenberghs and   
             Michael G. Kenward   MCMC-based estimation methods for
                                  continuous longitudinal data with
                                  non-random (non)-monotone missingness    301--311
 M. J. García-Ligero and   
          A. Hermoso-Carazo and   
        J. Linares-Pérez   Derivation of centralized and
                                  distributed filters using covariance
                                  information  . . . . . . . . . . . . . . 312--323
               Frank Hampel and   
           Christian Hennig and   
              Elvezio Ronchetti   A smoothing principle for the Huber and
                                  other location $M$-estimators  . . . . . 324--337
             Eman Khorsheed and   
              Merrilee Hurn and   
           Christopher Jennison   Mapping electron density in the
                                  ionosphere: a principal component MCMC
                                  algorithm  . . . . . . . . . . . . . . . 338--352
         Caio L. N. Azevedo and   
           Heleno Bolfarine and   
              Dalton F. Andrade   Bayesian inference for a skew-normal IRT
                                  model under the centred parameterization 353--365
             Robin L. Young and   
            Janice Weinberg and   
     Verónica Vieira and   
                 Al Ozonoff and   
              Thomas F. Webster   Generalized additive models and inflated
                                  type $I$ error rates of smoother
                                  significance tests . . . . . . . . . . . 366--374
                 Jouni Kuha and   
                    David Firth   On the index of dissimilarity for lack
                                  of fit in loglinear and
                                  log-multiplicative models  . . . . . . . 375--388
                  Jianbo Li and   
                   Riquan Zhang   Partially varying coefficient single
                                  index proportional hazards regression
                                  models . . . . . . . . . . . . . . . . . 389--400
                    P. Delicado   Dimensionality reduction when data are
                                  density functions  . . . . . . . . . . . 401--420
              Sunghoon Kwon and   
                 Hosik Choi and   
                    Yongdai Kim   Quadratic approximation on SCAD
                                  penalized estimation . . . . . . . . . . 421--428
               Philippe Lambert   Smooth semiparametric and nonparametric
                                  Bayesian estimation of bivariate
                                  densities from bivariate histogram data  429--445
               D. Commenges and   
                   D. Jolly and   
               J. Drylewicz and   
                  H. Putter and   
             R. Thiébaut   Inference in HIV dynamics models via
                                  hierarchical likelihood  . . . . . . . . 446--456
              Tingting Zhan and   
             Inna Chevoneva and   
                 Boris Iglewicz   Generalized weighted likelihood density
                                  estimators with application to finite
                                  mixture of exponential family
                                  distributions  . . . . . . . . . . . . . 457--465
             M. Fazil Baksh and   
       Dankmar Böhning and   
           Rattana Lerdsuwansri   An extension of an over-dispersion test
                                  for count data . . . . . . . . . . . . . 466--474
             Olivier Parent and   
                James P. LeSage   A space--time filter for panel data
                                  models containing random effects . . . . 475--490
          Thomas M. Loughin and   
      Jorge E. Rodríguez   Computational issues with fitting joint
                                  location/dispersion models in
                                  unreplicated $ 2^k $ factorials  . . . . 491--497
                D. Dereudre and   
                   F. Lavancier   Practical simulation and estimation for
                                  Gibbs Delaunay--Voronoi tessellations
                                  with geometric hardcore interaction  . . 498--519
         Jeffrey L. Andrews and   
         Paul D. McNicholas and   
                Sanjeena Subedi   Model-based classification via mixtures
                                  of multivariate $t$-distributions  . . . 520--529
                  Peter D. Hoff   Hierarchical multilinear models for
                                  multiway data  . . . . . . . . . . . . . 530--543
             Andrea Cerioli and   
              Alessio Farcomeni   Error rates for multivariate outlier
                                  detection  . . . . . . . . . . . . . . . 544--553
                    Weihua Zhou   A weighted quantile regression for
                                  randomly truncated data  . . . . . . . . 554--566
                Sangjun Lee and   
               Changyi Park and   
                    Ja-Yong Koo   Feature selection in the Laplacian
                                  support vector machine . . . . . . . . . 567--577
               N. Iranpanah and   
           M. Mohammadzadeh and   
                   C. C. Taylor   A comparison of block and
                                  semi-parametric bootstrap methods for
                                  variance estimation in spatial
                                  statistics . . . . . . . . . . . . . . . 578--587
          Vicente G. Cancho and   
               Dipak K. Dey and   
           Victor H. Lachos and   
             Marinho G. Andrade   Bayesian nonlinear regression models
                                  with scale mixtures of skew-normal
                                  distributions: Estimation and case
                                  influence diagnostics  . . . . . . . . . 588--602
             Hubert J. Chen and   
               Miin-Jye Wen and   
                Chia-Jui Chuang   On testing the equivalence of treatments
                                  using the measure of range . . . . . . . 603--614
                   E. Gouno and   
                L. Courtrai and   
                    M. Fredette   Estimation from aggregate data . . . . . 615--626
               J. Chad\oeuf and   
                 G. Certain and   
                 E. Bellier and   
                 A. Bar-Hen and   
                P. Couteron and   
               P. Monestiez and   
                 V. Bretagnolle   Estimating inter-group interaction
                                  radius for point processes with nested
                                  spatial structures . . . . . . . . . . . 627--640
              Artin Armagan and   
            Russell L. Zaretzki   A note on mean-field variational
                                  approximations in Bayesian probit models 641--643
            Ammar M. Sarhan and   
          David C. Hamilton and   
                Bruce Smith and   
                  Debasis Kundu   The bivariate generalized linear failure
                                  rate distribution and its multivariate
                                  extension  . . . . . . . . . . . . . . . 644--654
                 Guoqi Qian and   
                    Ning Li and   
                Richard Huggins   Using capture-recapture data and hybrid
                                  Monte Carlo sampling to estimate an
                                  animal population affected by an
                                  environmental catastrophe  . . . . . . . 655--666
          Karthik Devarajan and   
                 Nader Ebrahimi   A semi-parametric generalization of the
                                  Cox proportional hazards regression
                                  model: Inference and applications  . . . 667--676
          Vicente G. Cancho and   
    Franscisco Louzada-Neto and   
           Gladys D. C. Barriga   The Poisson-exponential lifetime
                                  distribution . . . . . . . . . . . . . . 677--686
                Wai-Yin Wan and   
          Jennifer So-Kuen Chan   Bayesian analysis of robust Poisson
                                  geometric process model using
                                  heavy-tailed distributions . . . . . . . 687--702
                Xianzheng Huang   Detecting random-effects model
                                  misspecification via coarsened data  . . 703--714
                R. Langrock and   
                    W. Zucchini   Hidden Markov models with arbitrary
                                  state dwell-time distributions . . . . . 715--724
              David Tolusso and   
                     Xikui Wang   Interval estimation for response
                                  adaptive clinical trials . . . . . . . . 725--730
                Moonsu Kang and   
                    Heuiju Chun   A generalized false discovery rate in
                                  microarray studies . . . . . . . . . . . 731--737
            Orietta Nicolis and   
   Pepa Ramírez-Cobo and   
                Brani Vidakovic   $2$D wavelet-based spectra with
                                  applications . . . . . . . . . . . . . . 738--751
        Luke A. Prendergast and   
             Connie Li Wai Suen   A new and practical influence measure
                                  for subsets of covariance matrix sample
                                  principal components with applications
                                  to high dimensional datasets . . . . . . 752--764
              Xue-Dong Chen and   
                     Ying-Zi Fu   Model selection for zero-inflated
                                  regression with missing covariates . . . 765--773
                Pavel \vCi\vzek   Semiparametrically weighted robust
                                  estimation of regression models  . . . . 774--788
          Daniela M. Witten and   
              Robert Tibshirani   Supervised multidimensional scaling for
                                  visualization, classification, and
                                  bipartite ranking  . . . . . . . . . . . 789--801
              Hyekyung Jung and   
          Joseph L. Schafer and   
                   Byungtae Seo   A latent class selection model for
                                  nonignorably missing data  . . . . . . . 802--812
              Dewi Rahardja and   
                  Dean M. Young   Likelihood-based confidence intervals
                                  for the risk ratio using double sampling
                                  with over-reported binary data . . . . . 813--823
               Keunbaik Lee and   
               Yongsung Joo and   
              Joon Jin Song and   
                Dee Wood Harper   Analysis of zero-inflated clustered
                                  count data: a marginalized model
                                  approach . . . . . . . . . . . . . . . . 824--837
         S. Martínez and   
                   M. Rueda and   
                   A. Arcos and   
         H. Martínez and   
      I. Sánchez-Borrego   Post-stratified calibration method for
                                  estimating quantiles . . . . . . . . . . 838--851
          Joanna J. J. Wang and   
        Jennifer S. K. Chan and   
               S. T. Boris Choy   Stochastic volatility models with
                                  leverage and heavy-tailed distributions:
                                  a Bayesian approach using scale mixtures 852--862
A. M. Martínez-Rodríguez and   
 A. J. Sáez-Castillo and   
        A. Conde-Sánchez   Modelling using an extended Yule
                                  distribution . . . . . . . . . . . . . . 863--873
         Isabella Locatelli and   
              Alfio Marazzi and   
                Victor J. Yohai   Robust accelerated failure time
                                  regression . . . . . . . . . . . . . . . 874--887
María Xosé Rodríguez-Álvarez and   
           Pablo G. Tahoces and   
Carmen Cadarso-Suárez and   
  María José Lado   Comparative study of ROC regression
                                  techniques --- Applications for the
                                  computer-aided diagnostic system in
                                  breast cancer detection  . . . . . . . . 888--902
                 Wan-Yu Lin and   
                  Wen-Chung Lee   Floating prioritized subset analysis: a
                                  powerful method to detect differentially
                                  expressed genes  . . . . . . . . . . . . 903--913
              Yi-Ting Hwang and   
               Hao-Yun Tsai and   
              Yeu-Jhy Chang and   
              Hsun-Chih Kuo and   
                 Chun-Chao Wang   The joint model of the logistic model
                                  and linear random effect model --- An
                                  application to predict orthostatic
                                  hypertension for subacute stroke
                                  patients . . . . . . . . . . . . . . . . 914--923
                 Man-Suk Oh and   
                  Dong Wan Shin   A unified Bayesian inference on
                                  treatment means with order constraints   924--934
              Jeong Eun Min and   
       Matthew D. Whiteside and   
       Fiona S. L. Brinkman and   
               Brad McNeney and   
                   Jinko Graham   A statistical approach to
                                  high-throughput screening of predicted
                                  orthologs  . . . . . . . . . . . . . . . 935--943
 Valéria Lima Passos and   
            Frans E. S. Tan and   
           Martijn P. F. Berger   Cost-efficiency considerations in the
                                  choice of a microarray platform for time
                                  course experimental designs  . . . . . . 944--954

Computational Statistics & Data Analysis
Volume 55, Number 2, February 1, 2011

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi--vii
               Man-Lai Tang and   
               Wai-Yin Poon and   
                Leevan Ling and   
                 Yijie Liao and   
                  Hang-Wai Chui   Approximate unconditional test procedure
                                  for comparing two ordered multinomials   955--963
           D. K. Al-Mutairi and   
              M. E. Ghitany and   
                Ramesh C. Gupta   Estimation of reliability in a series
                                  system with random sample size . . . . . 964--972
                    Lei Shi and   
                      Mei Huang   Stepwise local influence analysis  . . . 973--982
                    Jie Mao and   
                Zhongyi Zhu and   
                   Wing K. Fung   Joint estimation of mean-covariance
                                  model for longitudinal data with basis
                                  function approximations  . . . . . . . . 983--992
     Elizabeth M. Hashimoto and   
         Edwin M. M. Ortega and   
          Gilberto A. Paula and   
            Mauricio L. Barreto   Regression models for grouped survival
                                  data: Estimation and sensitivity
                                  analysis . . . . . . . . . . . . . . . . 993--1007
           Christian Kascha and   
               Carsten Trenkler   Bootstrapping the likelihood ratio
                                  cointegration test in error correction
                                  models with unknown lag order  . . . . . 1008--1017
                 Brent D. Burch   Assessing the performance of
                                  normal-based and REML-based confidence
                                  intervals for the intraclass correlation
                                  coefficient  . . . . . . . . . . . . . . 1018--1028
                Dongik Jang and   
                    Hee-Seok Oh   Enhancement of spatially adaptive
                                  smoothing splines via parameterization
                                  of smoothing parameters  . . . . . . . . 1029--1040
              Yoshio Takane and   
              Kwanghee Jung and   
                 Heungsun Hwang   Regularized reduced rank growth curve
                                  models . . . . . . . . . . . . . . . . . 1041--1052
              Chi-Chung Wen and   
                    Yi-Hau Chen   Nonparametric maximum likelihood
                                  analysis of clustered current status
                                  data with the gamma-frailty Cox model    1053--1060
               Jingyun Yang and   
           Vernon M. Chinchilli   Fixed-effects modeling of Cohen's
                                  weighted kappa for bivariate multinomial
                                  data . . . . . . . . . . . . . . . . . . 1061--1070
             Assam Pryseley and   
         Clotaire Tchonlafi and   
              Geert Verbeke and   
              Geert Molenberghs   Estimating negative variance components
                                  from Gaussian and non-Gaussian data: a
                                  mixed models approach  . . . . . . . . . 1071--1085
                  A. Mandal and   
                W. T. Huang and   
             S. K. Bhandari and   
                        A. Basu   Goodness-of-fit testing in growth curve
                                  models: a general approach based on
                                  finite differences . . . . . . . . . . . 1086--1098
                     Phillip Li   Estimation of sample selection models
                                  with two selection mechanisms  . . . . . 1099--1108
           Artur J. Lemonte and   
           Silvia L. P. Ferrari   Size and power properties of some tests
                                  in the Birnbaum--Saunders regression
                                  model  . . . . . . . . . . . . . . . . . 1109--1117
Patrícia F. Paranaíba and   
         Edwin M. M. Ortega and   
          Gauss M. Cordeiro and   
              Rodrigo R. Pescim   The beta Burr XII distribution with
                                  application to lifetime data . . . . . . 1118--1136
               Hengjian Cui and   
                         Tao Hu   On nonlinear regression estimator with
                                  denoised variables . . . . . . . . . . . 1137--1149
          Adam R. Brentnall and   
          Martin J. Crowder and   
                  David J. Hand   Approximate repeated-measures shrinkage  1150--1159
                  F. Picard and   
               E. Lebarbier and   
              E. Budinsk\`a and   
                       S. Robin   Joint segmentation of multivariate
                                  Gaussian processes using mixed linear
                                  models . . . . . . . . . . . . . . . . . 1160--1170
                     Dianxu Ren   Corrigendum  . . . . . . . . . . . . . . 1171

Computational Statistics & Data Analysis
Volume 55, Number 3, March 1, 2011

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi--vii
                  Yijun Zuo and   
                   Shaoyong Lai   Exact computation of bivariate
                                  projection depth and the Stahel--Donoho
                                  estimator  . . . . . . . . . . . . . . . 1173--1179
                         Jun Ma   Indirect density estimation using the
                                  iterative Bayes algorithm  . . . . . . . 1180--1195
                  Ran Zhang and   
              Claudia Czado and   
                    Aleksey Min   Efficient maximum likelihood estimation
                                  of copula based meta $t$-distributions   1196--1214
       Manuel J. A. Eugster and   
               Friedrich Leisch   Weighted and robust archetypal analysis  1215--1225
         Mohamed M. Shoukri and   
              Pranesh Kumar and   
                    Dilek Colak   Analyzing dependent proportions in
                                  cluster randomized trials: Modeling
                                  inter-cluster correlation via copula
                                  function . . . . . . . . . . . . . . . . 1226--1235
            Gülhan Alpargu   Allowing for missing genotypes in any
                                  members of the nuclear families in
                                  transmission disequilibrium test . . . . 1236--1249
       Gladys D. C. Barriga and   
    Franscisco Louzada-Neto and   
              Vicente G. Cancho   The complementary exponential power
                                  lifetime model . . . . . . . . . . . . . 1250--1259
                     Bo Cai and   
                   Renate Meyer   Bayesian semiparametric modeling of
                                  survival data based on mixtures of
                                  B-spline distributions . . . . . . . . . 1260--1272
            Nian-Sheng Tang and   
                Shao-Ping Jiang   Testing equality of risk ratios in
                                  multiple $ 2 \times 2 $ tables with
                                  structural zero  . . . . . . . . . . . . 1273--1284
              Erhard Cramer and   
          Anja Bettina Schmiedt   Progressively Type-II censored competing
                                  risks data from Lomax distributions  . . 1285--1303
              Aldo M. Garay and   
     Elizabeth M. Hashimoto and   
         Edwin M. M. Ortega and   
        Víctor H. Lachos   On estimation and influence diagnostics
                                  for zero-inflated negative binomial
                                  regression models  . . . . . . . . . . . 1304--1318
     Hedibert Freitas Lopes and   
              Dani Gamerman and   
                 Esther Salazar   Generalized spatial dynamic factor
                                  models . . . . . . . . . . . . . . . . . 1319--1330
              Jan R. Magnus and   
             Alan T. K. Wan and   
                    Xinyu Zhang   Weighted average least squares
                                  estimation with nonspherical
                                  disturbances and an application to the
                                  Hong Kong housing market . . . . . . . . 1331--1341
         Sounak Chakraborty and   
                     Ruixin Guo   A Bayesian hybrid Huberized support
                                  vector machine and its applications in
                                  high-dimensional medical data  . . . . . 1342--1356
               Jong-Min Kim and   
             Yoon-Sung Jung and   
               Taeryon Choi and   
                Engin A. Sungur   Partial correlation with copula modeling 1357--1366
                     Lu Lin and   
                   Qi Zhang and   
                    Feng Li and   
                        Xia Cui   Simulation-based two-stage estimation
                                  for multiple nonparametric regression    1367--1378
       Wagner Barreto-Souza and   
       Klaus L. P. Vasconcellos   Bias and skewness in a general
                                  extreme-value regression model . . . . . 1379--1393
           Donald M. Pianto and   
         Francisco Cribari-Neto   Dealing with monotone likelihood in a
                                  model for speckled data  . . . . . . . . 1394--1409
         Alice Lemos Morais and   
           Wagner Barreto-Souza   A compound class of Weibull and power
                                  series distributions . . . . . . . . . . 1410--1425
           Umberto Picchini and   
              Susanne Ditlevsen   Practical estimation of high dimensional
                                  stochastic differential mixed-effects
                                  models . . . . . . . . . . . . . . . . . 1426--1444
          Gauss M. Cordeiro and   
               Artur J. Lemonte   The $ \beta $-Birnbaum--Saunders
                                  distribution: an improved distribution
                                  for fatigue life modeling  . . . . . . . 1445--1461
Germán Ibacache-Pulgar and   
              Gilberto A. Paula   Local influence for Student-$t$
                                  partially linear models  . . . . . . . . 1462--1478
                   Yubo Zou and   
               Jiajia Zhang and   
                     Guoyou Qin   A semiparametric accelerated failure
                                  time partial linear model and its
                                  application to breast cancer . . . . . . 1479--1487
                 Tong-Yu Lu and   
               Wai-Yin Poon and   
                  Yim-Fan Tsang   Latent growth curve modeling for
                                  longitudinal ordinal responses with
                                  applications . . . . . . . . . . . . . . 1488--1497
                Rui-Yin Liu and   
                   Jian Tao and   
             Ning-Zhong Shi and   
                      Xuming He   Bayesian analysis of the patterns of
                                  biological susceptibility via reversible
                                  jump MCMC sampling . . . . . . . . . . . 1498--1508

Computational Statistics & Data Analysis
Volume 55, Number 4, April 1, 2011

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi--vii
               N. G. Denman and   
               J. M. McGree and   
            J. A. Eccleston and   
                  S. B. Duffull   Design of experiments for bivariate
                                  binary responses modelled by Copula
                                  functions  . . . . . . . . . . . . . . . 1509--1520
        Ioannis Phinikettos and   
                     Axel Gandy   Fast computation of high-dimensional
                                  multivariate normal probabilities  . . . 1521--1529
               F. T. Wright and   
                 Kane Nashimoto   One-sided multiple comparisons for
                                  treatment means with a control mean  . . 1530--1539
       Alexander M. Strasak and   
            Nikolaus Umlauf and   
           Ruth M. Pfeiffer and   
                    Stefan Lang   Comparing penalized splines and
                                  fractional polynomials for flexible
                                  modelling of the effects of continuous
                                  predictor variables  . . . . . . . . . . 1540--1551
                  Gui-Bo Ye and   
                    Xiaohui Xie   Split Bregman method for large scale
                                  fused Lasso  . . . . . . . . . . . . . . 1552--1569
                   Min Chen and   
                    Xinlei Wang   Approximate predictive densities and
                                  their applications in generalized linear
                                  models . . . . . . . . . . . . . . . . . 1570--1580
                     Man-Wai Ho   Usage of a pair of $S$-paths in Bayesian
                                  estimation of a unimodal density . . . . 1581--1595
                 Qihua Wang and   
                       Peng Lai   Empirical likelihood calibration
                                  estimation for the median treatment
                                  difference in observational studies  . . 1596--1609
                 Feng-Chang Lin   A random effects epidemic-type
                                  aftershock sequence model  . . . . . . . 1610--1616
                Pei-Fang Su and   
                Yunchan Chi and   
                 Chung-I Li and   
                    Yu Shyr and   
                     Yi-De Liao   Analyzing survival curves at a fixed
                                  point in time for paired and clustered
                                  right-censored data  . . . . . . . . . . 1617--1628
            Sarjinder Singh and   
              Stephen A. Sedory   Sufficient bootstrapping . . . . . . . . 1629--1637
                P. Reichert and   
                   G. White and   
              M. J. Bayarri and   
                   E. B. Pitman   Mechanism-based emulation of dynamic
                                  simulation models: Concept and
                                  application in hydrology . . . . . . . . 1638--1655
                   Qin Wang and   
                  Xiangrong Yin   Estimation of inverse mean: an
                                  orthogonal series approach . . . . . . . 1656--1664
              Filidor Vilca and   
              Lucia Santana and   
        Víctor Leiva and   
                N. Balakrishnan   Estimation of extreme percentiles in
                                  Birnbaum--Saunders distributions . . . . 1665--1678
  Sara López-Pintado and   
                      Juan Romo   A half-region depth for functional data  1679--1695
             Chung-Wei Shen and   
            Tsung-Shan Tsou and   
                N. Balakrishnan   Robust likelihood inference for
                                  regression parameters in partially
                                  linear models  . . . . . . . . . . . . . 1696--1714
        Salvatore Ingrassia and   
                  Roberto Rocci   Degeneracy of the EM algorithm for the
                                  MLE of multivariate Gaussian mixtures
                                  and dynamic constraints  . . . . . . . . 1715--1725
              Hong-Bin Fang and   
              Jiantian Wang and   
             Dianliang Deng and   
                   Man-Lai Tang   Estimating the mean of a mark variable
                                  under right censoring on the basis of a
                                  state function . . . . . . . . . . . . . 1726--1735
             Enrico Fabrizi and   
     Maria Rosaria Ferrante and   
               Silvia Pacei and   
                Carlo Trivisano   Hierarchical Bayes multivariate
                                  estimation of poverty rates based on
                                  increasing thresholds for small domains  1736--1747
         Hossein Baghishani and   
           Mohsen Mohammadzadeh   A data cloning algorithm for computing
                                  maximum likelihood estimates in spatial
                                  generalized linear mixed models  . . . . 1748--1759
             Shyh-Huei Chen and   
               Edward H. Ip and   
                Yuchung J. Wang   Gibbs ensembles for nearly compatible
                                  and incompatible conditional models  . . 1760--1769
               Bruno Arpino and   
                Fabrizia Mealli   The specification of the propensity
                                  score in multilevel observational
                                  studies  . . . . . . . . . . . . . . . . 1770--1780
               Mathieu Sinn and   
                 Karsten Keller   Estimation of ordinal pattern
                                  probabilities in Gaussian processes with
                                  stationary increments  . . . . . . . . . 1781--1790
           Fatemeh Hosseini and   
                 Jo Eidsvik and   
           Mohsen Mohammadzadeh   Approximate Bayesian inference in
                                  spatial GLMM with skew normal latent
                                  variables  . . . . . . . . . . . . . . . 1791--1806
             Reza Drikvandi and   
              Reza Modarres and   
           Abdullah H. Jalilian   A bootstrap test for symmetry based on
                                  ranked set samples . . . . . . . . . . . 1807--1814
           Andrew L. Rukhin and   
                Antonio Possolo   Laplace random effects models for
                                  interlaboratory studies  . . . . . . . . 1815--1827
               Antti Airola and   
            Tapio Pahikkala and   
            Willem Waegeman and   
           Bernard De Baets and   
                Tapio Salakoski   An experimental comparison of
                                  cross-validation techniques for
                                  estimating the area under the ROC curve  1828--1844
                Tsung-Chi Cheng   Robust diagnostics for the
                                  heteroscedastic regression model . . . . 1845--1866
      Maria Kelly Venezuela and   
Mônica Carneiro Sandoval and   
        Denise Aparecida Botter   Local influence in estimating equations  1867--1883
                   Young-Ju Kim   A comparative study of nonparametric
                                  estimation in Weibull regression: a
                                  penalized likelihood approach  . . . . . 1884--1896

Computational Statistics & Data Analysis
Volume 55, Number 5, May 1, 2011

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi
                 Hosik Choi and   
                Donghwa Yeo and   
              Sunghoon Kwon and   
                    Yongdai Kim   Gene selection and prediction for cancer
                                  classification using support vector
                                  machines with a reject option  . . . . . 1897--1908
           Thomas J. Fisher and   
                   Xiaoqian Sun   Improved Stein-type shrinkage estimators
                                  for the high-dimensional multivariate
                                  normal covariance matrix . . . . . . . . 1909--1918
            Ir\`ene Gijbels and   
      Noël Veraverbeke and   
                   Marel Omelka   Conditional copulas, association
                                  measures and their applications  . . . . 1919--1932
               Werner Adler and   
         Alexander Brenning and   
             Sergej Potapov and   
            Matthias Schmid and   
                Berthold Lausen   Ensemble classification of paired data   1933--1941
                E. Dettmann and   
                  C. Becker and   
             C. Schmeißer   Distance functions for matching in small
                                  samples  . . . . . . . . . . . . . . . . 1942--1960
     Mohammed Bennani Dosse and   
           Henk A. L. Kiers and   
            Jos M. F. Ten Berge   Anisotropic generalized Procrustes
                                  analysis . . . . . . . . . . . . . . . . 1961--1968
                    Han-Ming Wu   On biological validity indices for soft
                                  clustering algorithms for gene
                                  expression data  . . . . . . . . . . . . 1969--1979
                Carlos Tenreiro   An affine invariant multiple test
                                  procedure for assessing multivariate
                                  normality  . . . . . . . . . . . . . . . 1980--1992
                  Xinmin Li and   
                  Juan Wang and   
                      Hua Liang   Comparison of several means: a fiducial
                                  based approach . . . . . . . . . . . . . 1993--2002
                    Pei-Hsi Lee   Adaptive $R$ charts with variable
                                  parameters . . . . . . . . . . . . . . . 2003--2010

Computational Statistics & Data Analysis
Volume 55, Number 6, June 1, 2011

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi--vii
    Spyridon J. Hatjispyros and   
        Theodoros Nicoleris and   
              Stephen G. Walker   Dependent mixtures of Dirichlet
                                  processes  . . . . . . . . . . . . . . . 2011--2025
              Hugh B. Crews and   
             Dennis D. Boos and   
           Leonard A. Stefanski   FSR methods for second-order regression
                                  models . . . . . . . . . . . . . . . . . 2026--2037
José Miguel Hernández-Lobato and   
          Alberto Suárez   Semiparametric bivariate Archimedean
                                  copulas  . . . . . . . . . . . . . . . . 2038--2058
              Tomoko Matsuo and   
          Douglas W. Nychka and   
                  Debashis Paul   Nonstationary covariance modeling for
                                  incomplete data: Monte Carlo EM approach 2059--2073
             C. Q. da-Silva and   
                H. S. Migon and   
                  L. T. Correia   Dynamic Bayesian beta models . . . . . . 2074--2089
                Pai-Ling Li and   
                 Jeng-Min Chiou   Identifying cluster number for subspace
                                  projected functional data clustering . . 2090--2103
              Makoto Tomita and   
           Noboru Hashimoto and   
                  Yutaka Tanaka   Association study for the relationship
                                  between a haplotype or haplotype set and
                                  multiple quantitative responses  . . . . 2104--2113
                       Jie Zhou   Maximum likelihood ratio test for the
                                  stability of sequence of Gaussian random
                                  processes  . . . . . . . . . . . . . . . 2114--2127
                 Yixin Fang and   
                    Junhui Wang   Penalized cluster analysis with
                                  applications to family data  . . . . . . 2128--2136
               A. MacDonald and   
             C. J. Scarrott and   
                     D. Lee and   
                  B. Darlow and   
                   M. Reale and   
                     G. Russell   A flexible extreme value mixture model   2137--2157
         Z. Martínez and   
               C. Ludeña   An algorithm for automatic curve
                                  detection  . . . . . . . . . . . . . . . 2158--2171
                 Ilhan Usta and   
              Yeliz Mert Kantar   On the performance of the flexible
                                  maximum entropy distributions within
                                  partially adaptive estimation  . . . . . 2172--2182
                        Lei Jin   A data-driven test to compare two or
                                  multiple time series . . . . . . . . . . 2183--2196
           Kenichi Kanatani and   
            Prasanna Rangarajan   Hyper least squares fitting of circles
                                  and ellipses . . . . . . . . . . . . . . 2197--2208

Computational Statistics & Data Analysis
Volume 55, Number 7, July 1, 2011

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi--vii
              Ottmar Cronie and   
          Aila Särkkä   Some edge correction methods for marked
                                  spatio-temporal point process models . . 2209--2220
               Yanfeng Shen and   
               Zhengyan Lin and   
                        Jun Zhu   Shrinkage-based regularization tests for
                                  high-dimensional data with application
                                  to gene set analysis . . . . . . . . . . 2221--2233
                 Zhen Zhang and   
         Hans-Georg Müller   Functional density synchronization . . . 2234--2249
                 Jaejik Kim and   
                     L. Billard   A polythetic clustering process and
                                  cluster validity indexes for
                                  histogram-valued objects . . . . . . . . 2250--2262
                  Tron Foss and   
      Karl G. Jöreskog and   
                  Ulf H. Olsson   Testing structural equation models: the
                                  effect of kurtosis . . . . . . . . . . . 2263--2275
           Cathy W. S. Chen and   
        Jennifer S. K. Chan and   
              Mike K. P. So and   
                Kevin K. M. Lee   Classification in segmented regression
                                  problems . . . . . . . . . . . . . . . . 2276--2287
             M. Kolossiatis and   
              J. E. Griffin and   
                 M. F. J. Steel   Modeling overdispersion with the
                                  normalized tempered stable distribution  2288--2301
              K. Lanumteang and   
                D. Böhning   An extension of Chao's estimator of
                                  population size based on the first three
                                  capture frequency counts . . . . . . . . 2302--2311
                   Rong Zhu and   
              Sherry Z. F. Zhou   Estimating the error variance after a
                                  pre-test for an interval restriction on
                                  the coefficients . . . . . . . . . . . . 2312--2323
                   Ancha Xu and   
                    Yincai Tang   Bayesian analysis of Birnbaum--Saunders
                                  distribution with partial information    2324--2333
               You-Gan Wang and   
                        Liya Fu   Rank regression for accelerated failure
                                  time model with clustered and censored
                                  data . . . . . . . . . . . . . . . . . . 2334--2343
     Subhadeep Mukhopadhyay and   
                  Anil K. Ghosh   Bayesian multiscale smoothing in
                                  supervised and semi-supervised kernel
                                  discriminant analysis  . . . . . . . . . 2344--2353
               Miao-Yu Tsai and   
             Jung-Feng Wang and   
                    Jia-Ling Wu   Generalized estimating equations with
                                  model selection for comparing dependent
                                  categorical agreement data . . . . . . . 2354--2362
                 Shubiao Li and   
                  Fang Yang and   
               Felix Famoye and   
                   Carl Lee and   
                   Dennis Black   Quasi-negative binomial distribution:
                                  Properties and applications  . . . . . . 2363--2371
            Giampiero Marra and   
                  Simon N. Wood   Practical variable selection for
                                  generalized additive models  . . . . . . 2372--2387
           Artur J. Lemonte and   
           Silvia L. P. Ferrari   Testing hypotheses in the
                                  Birnbaum--Saunders distribution under
                                  type-II censored samples . . . . . . . . 2388--2399
     Annie Tordilla Darilay and   
              Joshua D. Naranjo   A pretest for using logrank or Wilcoxon
                                  in the two-sample problem  . . . . . . . 2400--2409
          Pier Alda Ferrari and   
               Paola Annoni and   
        Alessandro Barbiero and   
                Giancarlo Manzi   An imputation method for categorical
                                  variables with application to nonlinear
                                  principal component analysis . . . . . . 2410--2420
                DoHwan Park and   
               Junyong Park and   
             Xiaosong Zhong and   
                Michel Sadelain   Estimation of empirical null using a
                                  mixture of normals and its use in local
                                  false discovery rate . . . . . . . . . . 2421--2432
                    Ori Davidov   Combining $p$-values using order-based
                                  methods  . . . . . . . . . . . . . . . . 2433--2444
            Raydonal Ospina and   
     Francisco Cribari-Neto and   
       Klaus L. P. Vasconcellos   Erratum to ``Improved point and interval
                                  estimation for a beta regression model''
                                  [Comput. Statist. Data Anal. \bf 51
                                  (2006) 960--981] . . . . . . . . . . . . 2445
          Jerald F. Lawless and   
               Yildiz E. Yilmaz   Comparison of semiparametric maximum
                                  likelihood estimation and two-stage
                                  semiparametric estimation in copula
                                  models . . . . . . . . . . . . . . . . . 2446--2455

Computational Statistics & Data Analysis
Volume 55, Number 8, August 1, 2011

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi
                Kun-Lin Kuo and   
                Yuchung J. Wang   A simple algorithm for checking
                                  compatibility among discrete conditional
                                  distributions  . . . . . . . . . . . . . 2457--2462
                  O. Sysoev and   
                O. Burdakov and   
                    A. Grimvall   A segmentation-based algorithm for
                                  large-scale partially ordered monotonic
                                  regression . . . . . . . . . . . . . . . 2463--2476
                 Jae H. Kim and   
                Iain Fraser and   
                 Rob J. Hyndman   Improved interval estimation of long run
                                  response from a dynamic linear model: a
                                  highest density region approach  . . . . 2477--2489
               M. A. Graham and   
             S. Chakraborti and   
                    S. W. Human   A nonparametric exponentially weighted
                                  moving average signed-rank chart for
                                  monitoring location  . . . . . . . . . . 2490--2503
              Manuel Koller and   
               Werner A. Stahel   Sharpening Wald-type inference in robust
                                  regression for small samples . . . . . . 2504--2515
          Francisco Louzada and   
                 Mari Roman and   
              Vicente G. Cancho   The complementary exponential geometric
                                  distribution: Model, properties, and a
                                  comparison with its counterpart  . . . . 2516--2524
            Emanuele Taufer and   
           Nikolai Leonenko and   
                      Marco Bee   Characteristic function estimation of
                                  Ornstein--Uhlenbeck-based stochastic
                                  volatility models  . . . . . . . . . . . 2525--2539

Computational Statistics & Data Analysis
Volume 55, Number 9, September 1, 2011

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi--vii
    Christopher C. Drovandi and   
             Anthony N. Pettitt   Likelihood-free Bayesian estimation of
                                  multivariate quantile distributions  . . 2541--2556
            Stephen E. Lane and   
             Andrew P. Robinson   An alternative objective function for
                                  fitting regression trees to functional
                                  response variables . . . . . . . . . . . 2557--2567
Angela Blanco-Fernández and   
            Norberto Corral and   
Gil González-Rodríguez   Estimation of a flexible simple linear
                                  model for interval data based on set
                                  arithmetic . . . . . . . . . . . . . . . 2568--2578
             Rob J. Hyndman and   
             Roman A. Ahmed and   
      George Athanasopoulos and   
                  Han Lin Shang   Optimal combination forecasts for
                                  hierarchical time series . . . . . . . . 2579--2589
                Xixin Cheng and   
                   W. K. Li and   
            Philip L. H. Yu and   
                  Xuan Zhou and   
                  Chao Wang and   
                       P. H. Lo   Modeling threshold conditional
                                  heteroscedasticity with regime-dependent
                                  skewness and kurtosis  . . . . . . . . . 2590--2604
                Suk K. Park and   
                Sung K. Ahn and   
                     Sinsup Cho   Generalized method of moments estimation
                                  for cointegrated vector autoregressive
                                  models . . . . . . . . . . . . . . . . . 2605--2618
           J. R. Berrendero and   
                  A. Justel and   
                       M. Svarc   Principal components for multivariate
                                  functional data  . . . . . . . . . . . . 2619--2634
               Sangyeol Lee and   
                 Ilia Vonta and   
             Alex Karagrigoriou   A maximum entropy type test of fit . . . 2635--2643
                     Bo Cai and   
                Xiaoyan Lin and   
                  Lianming Wang   Bayesian proportional hazards model for
                                  current status data with monotone
                                  splines  . . . . . . . . . . . . . . . . 2644--2651
           David J. Edwards and   
                  Robert W. Mee   Supersaturated designs: Are our results
                                  significant? . . . . . . . . . . . . . . 2652--2664
       Chloé Friguet and   
                  David Causeur   Estimation of the proportion of true
                                  null hypotheses in high-dimensional data
                                  under dependence . . . . . . . . . . . . 2665--2676
          Rositsa B. Dimova and   
         Marianthi Markatou and   
                Andrew H. Talal   Information methods for model selection
                                  in linear mixed effects models with
                                  application to HCV data  . . . . . . . . 2677--2697
                 Gang Zheng and   
                    Ao Yuan and   
                  Neal Jeffries   Hybrid Bayes factors for genome-wide
                                  association studies when a robust test
                                  is used  . . . . . . . . . . . . . . . . 2698--2711
           Angela Montanari and   
                  Cinzia Viroli   Maximum likelihood estimation of
                                  mixtures of factor analyzers . . . . . . 2712--2723
              Liesa Denecke and   
       Christine H. Müller   Robust estimators and tests for
                                  bivariate copulas based on likelihood
                                  depth  . . . . . . . . . . . . . . . . . 2724--2738
                     Yungtai Lo   Bias from misspecification of the
                                  component variances in a normal mixture  2739--2747
                   Qian Shi and   
          Lindsay A. Renfro and   
               Brian M. Bot and   
         Tomasz Burzykowski and   
                 Marc Buyse and   
              Daniel J. Sargent   Comparative assessment of trial-level
                                  surrogacy measures for candidate
                                  time-to-event surrogate endpoints in
                                  clinical trials  . . . . . . . . . . . . 2748--2757
             Irene Epifanio and   
          Noelia Ventura-Campos   Functional data analysis in shape
                                  analysis . . . . . . . . . . . . . . . . 2758--2773

Computational Statistics & Data Analysis
Volume 55, Number 10, October 1, 2011

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi
            N. Balakrishnan and   
                    H. M. Saleh   Relations for moments of progressively
                                  Type-II censored order statistics from
                                  half-logistic distribution with
                                  applications to inference  . . . . . . . 2775--2792
             Matthias Templ and   
          Alexander Kowarik and   
                Peter Filzmoser   Iterative stepwise regression imputation
                                  using standard and robust methods  . . . 2793--2806
               Deukwoo Kwon and   
         Maria Teresa Landi and   
            Marina Vannucci and   
            Haleem J. Issaq and   
               DaRue Prieto and   
               Ruth M. Pfeiffer   An efficient stochastic search for
                                  Bayesian variable selection with
                                  high-dimensional correlated predictors   2807--2818
                     Yan Su and   
                Lianjie Shu and   
                Kwok-Leung Tsui   Adaptive EWMA procedures for monitoring
                                  processes subject to linear drifts . . . 2819--2829
                   Ancha Xu and   
                    Yincai Tang   Objective Bayesian analysis of
                                  accelerated competing failure models
                                  under Type-I censoring . . . . . . . . . 2830--2839
       Lasse Holmström and   
              Leena Pasanen and   
            Reinhard Furrer and   
                Stephan R. Sain   Scale space multiresolution analysis of
                                  random signals . . . . . . . . . . . . . 2840--2855
 Ülkü Gürler and   
          C. Deniz Yenigün   Full and conditional likelihood
                                  approaches for hazard change-point
                                  estimation with truncated and censored
                                  data . . . . . . . . . . . . . . . . . . 2856--2870
         Martin L. Hazelton and   
              Berwin A. Turlach   Semiparametric regression with
                                  shape-constrained penalized splines  . . 2871--2879
                     Jun-mo Nam   Power and sample size requirements for
                                  non-inferiority in studies comparing two
                                  matched proportions where the events are
                                  correlated . . . . . . . . . . . . . . . 2880--2887

Computational Statistics & Data Analysis
Volume 55, Number 11, November 1, 2011

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi--vii
              Jing-Heng Cai and   
              Xin-Yuan Song and   
               Kwok-Hap Lam and   
             Edward Hak-Sing Ip   A mixture of generalized latent variable
                                  models for mixed mode and heterogeneous
                                  data . . . . . . . . . . . . . . . . . . 2889--2907
Ma\lgorzata \.Zak-Szatkowska and   
             Ma\lgorzata Bogdan   Modified versions of the Bayesian
                                  Information Criterion for sparse
                                  Generalized Linear Models  . . . . . . . 2908--2924
                Haiyan Wang and   
            Diego Maldonado and   
                  Sharad Silwal   A nonparametric-test-based structural
                                  similarity measure for digital images    2925--2936
           Guillermo Mendez and   
                    Sharon Lohr   Estimating residual variance in random
                                  forest regression  . . . . . . . . . . . 2937--2950
          Nabor O. Castillo and   
Héctor W. Gómez and   
        Víctor Leiva and   
               Antonio Sanhueza   On the Fernández--Steel distribution:
                                  Inference and application  . . . . . . . 2951--2961
Thomas Mühlenstädt and   
                    Sonja Kuhnt   Kernel interpolation . . . . . . . . . . 2962--2974
          A. Pedro Duarte Silva   Two-group classification with
                                  high-dimensional correlated data: a
                                  factor model approach  . . . . . . . . . 2975--2990
             Vasyl Golosnoy and   
             Sergiy Ragulin and   
                Wolfgang Schmid   CUSUM control charts for monitoring
                                  optimal portfolio weights  . . . . . . . 2991--3009
                   Luca Scrucca   Model-based SIR for dimension reduction  3010--3026
               Weiwei Zhang and   
                 Gaorong Li and   
                     Liugen Xue   Profile inference on partially linear
                                  varying-coefficient errors-in-variables
                                  models under restricted condition  . . . 3027--3040
             David Fletcher and   
            Peter W. Dillingham   Model-averaged confidence intervals for
                                  factorial experiments  . . . . . . . . . 3041--3048
             Nobuoki Eshima and   
                  Minoru Tabata   Three predictive power measures for
                                  generalized linear models: the entropy
                                  coefficient of determination, the
                                  entropy correlation coefficient and the
                                  regression correlation coefficient . . . 3049--3058
                    Feng Li and   
Françoise Seillier-Moiseiwitsch and   
     Valeriy R. Korostyshevskiy   Region-based statistical analysis of
                                  $2$D PAGE images . . . . . . . . . . . . 3059--3072

Computational Statistics & Data Analysis
Volume 55, Number 12, December 1, 2011

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi--vii
    Abelardo Monsalve-Cobis and   
Wenceslao González-Manteiga and   
           Manuel Febrero-Bande   Goodness-of-fit test for interest rate
                                  models: an approach based on empirical
                                  processes  . . . . . . . . . . . . . . . 3073--3092
           Hafiz M. R. Khan and   
            Ahmed Albatineh and   
           Saeed Alshahrani and   
             Nadine Jenkins and   
                 Nasar U. Ahmed   Sensitivity analysis of predictive
                                  modeling for responses from the
                                  three-parameter Weibull model with a
                                  follow-up doubly censored sample of
                                  cancer patients  . . . . . . . . . . . . 3093--3103
         Maurizio Filippone and   
              Guido Sanguinetti   Approximate inference of the bandwidth
                                  in multivariate kernel density
                                  estimation . . . . . . . . . . . . . . . 3104--3122
   Göran Broström and   
                Henrik Holmberg   Generalized linear models with clustered
                                  data: Fixed and random effects models    3123--3134
               Ping-Feng Xu and   
                Jianhua Guo and   
                   Man-Lai Tang   Structural learning for Bayesian
                                  networks by testing complete separators
                                  in prime blocks  . . . . . . . . . . . . 3135--3147
       Rohana J. Karunamuni and   
                    Jingjing Wu   One-step minimum Hellinger distance
                                  estimation . . . . . . . . . . . . . . . 3148--3164
             C. Q. da-Silva and   
                    A. E. Gomes   Bayesian inference for an item response
                                  model for modeling test anxiety  . . . . 3165--3182
      Raghu Nandan Sengupta and   
                Angana Sengupta   Some variants of adaptive sampling
                                  procedures and their applications  . . . 3183--3196
                   Qian Ren and   
           Sudipto Banerjee and   
           Andrew O. Finley and   
                James S. Hodges   Variational Bayesian methods for spatial
                                  data analysis  . . . . . . . . . . . . . 3197--3217
                F. J. Rubio and   
                 M. F. J. Steel   Inference for grouped data with a
                                  truncated skew-Laplace distribution  . . 3218--3231
        Jörg Drechsler and   
               Jerome P. Reiter   An empirical evaluation of easily
                                  implemented, nonparametric methods for
                                  generating synthetic datasets  . . . . . 3232--3243
Pablo Martínez-Camblor and   
                Norberto Corral   Repeated measures analysis for
                                  functional data  . . . . . . . . . . . . 3244--3256
María Xosé Rodríguez-Álvarez and   
Javier Roca-Pardiñas and   
   Carmen Cadarso-Suárez   A new flexible direct ROC regression
                                  model: Application to the detection of
                                  cardiovascular risk factors by
                                  anthropometric measures  . . . . . . . . 3257--3270
              Toshihiro Abe and   
                  Arthur Pewsey   Symmetric circular models through
                                  duplication and cosine perturbation  . . 3271--3282
J. M. Fernández-Ponce and   
                F. Pellerey and   
M. R. Rodríguez-Griñolo   On a new NBUE property in multivariate
                                  sense: an application  . . . . . . . . . 3283--3294
                    Jie Fan and   
                  Somnath Datta   Fitting marginal accelerated failure
                                  time models to clustered survival data
                                  with potentially informative cluster
                                  size . . . . . . . . . . . . . . . . . . 3295--3303
           Hidetoshi Matsui and   
               Sadanori Konishi   Variable selection for functional
                                  regression models via the $ L_1 $
                                  regularization . . . . . . . . . . . . . 3304--3310
          Josemar Rodrigues and   
            N. Balakrishnan and   
          Gauss M. Cordeiro and   
         Mário de Castro   A unified view on lifetime distributions
                                  arising from selection mechanisms  . . . 3311--3319
            Margaret Donald and   
            Clair L. Alston and   
              Rick R. Young and   
            Kerrie L. Mengersen   A Bayesian analysis of an agricultural
                                  field trial with three spatial
                                  dimensions . . . . . . . . . . . . . . . 3320--3332
               Xiuqing Zhou and   
                       Jin Zhao   Simple resampling methods of
                                  approximating the distribution of LAD
                                  estimators for doubly censored
                                  regression models  . . . . . . . . . . . 3333--3343
                  Ziqi Chen and   
             Ning-Zhong Shi and   
                    Wei Gao and   
                   Man-Lai Tang   Efficient semiparametric estimation via
                                  Cholesky decomposition for longitudinal
                                  data . . . . . . . . . . . . . . . . . . 3344--3354
   Mohammad Hossein Dehghan and   
               Thierry Duchesne   On the performance of some
                                  non-parametric estimators of the
                                  conditional survival function with
                                  interval-censored data . . . . . . . . . 3355--3364
M. D. Jiménez-Gamero and   
      R. Pino-Mejías and   
   V. Alba-Fernández and   
           J. L. Moreno-Rebollo   Minimum $ \phi $-divergence estimation
                                  in misspecified multinomial models . . . 3365--3378
                  Fabien Subtil   Comments on the article of C.-Y. Lai, L.
                                  Tian, and E. F. Schisterman on the
                                  ``Exact confidence interval estimation
                                  for the Youden index and its
                                  corresponding optimal cut-point''  . . . 3379--3380
             Guo-Liang Tian and   
                Kai Wang Ng and   
                Philip L. H. Yu   A note on the binomial model with
                                  simplex constraints  . . . . . . . . . . 3381--3385
                 Y. H. Said and   
               E. J. Wegman and   
            W. K. Sharabati and   
                   J. T. Rigsby   Retraction notice to ``Social networks
                                  of author--coauthor relationships''
                                  [Comput. Statist. Data Anal. \bf 52 (4)
                                  2177--2184]  . . . . . . . . . . . . . . 3386


Computational Statistics & Data Analysis
Volume 56, Number 1, January 1, 2012

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi--vii
             Mikko Packalen and   
               Tony S. Wirjanto   Inference about clustering and
                                  parametric assumptions in covariance
                                  matrix estimation  . . . . . . . . . . . 1--14
        Georgi N. Boshnakov and   
         Sophie Lambert-Lacroix   A periodic Levinson--Durbin algorithm
                                  for entropy maximization . . . . . . . . 15--24
               Tong Tong Wu and   
                         Xin He   Coordinate ascent for penalized
                                  semiparametric regression on
                                  high-dimensional panel count data  . . . 25--33
               N. M. Neykov and   
               P. Filzmoser and   
                 P. N. Neytchev   Robust joint modeling of mean and
                                  dispersion through trimming  . . . . . . 34--48
                 Kevin Thon and   
           Håvard Rue and   
Stein Olav Skròvseth and   
               Fred Godtliebsen   Bayesian multiscale analysis of images
                                  modeled as Gaussian Markov random fields 49--61
 Alejandro Rodríguez and   
                    Esther Ruiz   Bootstrap prediction mean squared errors
                                  of unobserved states based on the Kalman
                                  filter with estimated parameters . . . . 62--74
Celia Mendes Carvalho Lopes and   
               Heleno Bolfarine   Random effects in promotion time cure
                                  rate models  . . . . . . . . . . . . . . 75--87
                    Wei Lan and   
              Hansheng Wang and   
                 Chih-Ling Tsai   A Bayesian information criterion for
                                  portfolio selection  . . . . . . . . . . 88--99
                An Creemers and   
                 Marc Aerts and   
                  Niel Hens and   
              Geert Molenberghs   A nonparametric approach to weighted
                                  estimating equations for regression
                                  analysis with missing covariates . . . . 100--113
     Mulugeta Gebregziabher and   
        Matthew S. Shotwell and   
            Jane M. Charles and   
              Joyce S. Nicholas   Comparison of methods for identifying
                                  phenotype subgroups using categorical
                                  features data with application to autism
                                  spectrum disorder  . . . . . . . . . . . 114--125
Celso Rômulo Barbosa Cabral and   
  Víctor Hugo Lachos and   
               Marcos O. Prates   Multivariate mixture modeling using
                                  skew-normal independent distributions    126--142
               Jongwoo Song and   
                  Seongjoo Song   A quantile estimation for massive data
                                  with generalized Pareto distribution . . 143--150
               Georgios Tsiotas   On generalised asymmetric stochastic
                                  volatility models  . . . . . . . . . . . 151--172
               Costas Milas and   
               Ruthira Naraidoo   Financial conditions and nonlinearities
                                  in the European Central Bank (ECB)
                                  reaction function: In-sample and
                                  out-of-sample assessment . . . . . . . . 173--189
            Halil Aydo\ugdu and   
                    Mahmut Kara   Nonparametric estimation in $ \alpha
                                  $-series processes . . . . . . . . . . . 190--201
                    Lei Shi and   
                     Gemai Chen   Deletion, replacement and mean-shift for
                                  diagnostics in linear mixed models . . . 202--208
                  Jane Paik and   
                  Zhiliang Ying   A composite likelihood approach for
                                  spatially correlated survival data . . . 209--216
                Manabu Asai and   
            Michael McAleer and   
            Marcelo C. Medeiros   Modelling and forecasting noisy realized
                                  volatility . . . . . . . . . . . . . . . 217--230

Computational Statistics & Data Analysis
Volume 56, Number 2, February 1, 2012

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi--vii
                 Xinming An and   
               Peter M. Bentler   Efficient direct sampling MCEM algorithm
                                  for latent variable models with binary
                                  responses  . . . . . . . . . . . . . . . 231--244
          Prabhakar Chalise and   
              Brooke L. Fridley   Comparison of penalty functions for
                                  sparse canonical correlation analysis    245--254
             Guo-Liang Tian and   
               Man-Lai Tang and   
                   Chunling Liu   Accelerating the quadratic lower-bound
                                  algorithm via optimizing the shrinkage
                                  parameter  . . . . . . . . . . . . . . . 255--265
             Tucker McElroy and   
                 Agnieszka Jach   Tail index estimation in the presence of
                                  long-memory dynamics . . . . . . . . . . 266--282
                    You Wan and   
                    Tao Pei and   
               Chenghu Zhou and   
                 Yong Jiang and   
                  Chenxu Qu and   
                    Youlin Qiao   ACOMCD: a multiple cluster detection
                                  algorithm based on the spatial scan
                                  statistic and ant colony optimization    283--296
      Génia Babykina and   
              Vincent Couallier   Empirical assessment of the Maximum
                                  Likelihood Estimator quality in a
                                  parametric counting process model for
                                  recurrent events . . . . . . . . . . . . 297--315
               Fengrong Wei and   
                   Hongxiao Zhu   Group coordinate descent algorithms for
                                  nonconvex penalized regression . . . . . 316--326
E. S. García-Treviño and   
                   J. A. Barria   Online wavelet-based density estimation
                                  for non-stationary streaming data  . . . 327--344
     Y. Boubacar Mainassara and   
                  M. Carbon and   
                      C. Francq   Computing and estimating information
                                  matrices of weak ARMA models . . . . . . 345--361
                    L. Zhao and   
                    M. Banerjee   Bayesian piecewise mixture model for
                                  racial disparity in prostate cancer
                                  progression  . . . . . . . . . . . . . . 362--369
              Xiaobing Zhao and   
                      Xian Zhou   Modeling gap times between recurrent
                                  events by marginal rate function . . . . 370--383
                  Leming Qu and   
                      Wotao Yin   Copula density estimation by total
                                  variation penalized likelihood with
                                  linear equality constraints  . . . . . . 384--398
              A. F. Desmond and   
Carlos L. Cíntora González and   
                R. S. Singh and   
                      Xuewen Lu   A mixed effects log-linear model based
                                  on the Birnbaum--Saunders distribution   399--407
             Jakub Stoklosa and   
             Richard M. Huggins   A robust $P$-spline approach to closed
                                  population capture--recapture models
                                  with time dependence and heterogeneity   408--417
                 Jesse Frey and   
              Timothy G. Feeman   An improved mean estimator for judgment
                                  post-stratification  . . . . . . . . . . 418--426
                   Bing Han and   
            Siddhartha R. Dalal   A Bernstein-type estimator for
                                  decreasing density with application to
                                  $p$-value adjustments  . . . . . . . . . 427--437
             Chun-Zheng Cao and   
               Jin-Guan Lin and   
                   Xiao-Xin Zhu   On estimation of a heteroscedastic
                                  measurement error model under
                                  heavy-tailed distributions . . . . . . . 438--448
         Simos G. Meintanis and   
              Efthimios Tsionas   Erratum to: ``Testing for the
                                  generalized normal-Laplace distribution
                                  with applications'' [Computational
                                  Statistics and Data Analysis \bf 54
                                  (2010) 3174--3180] . . . . . . . . . . . 449

Computational Statistics & Data Analysis
Volume 56, Number 3, March 1, 2012

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi--vii
              Chien-Tai Lin and   
           Cheng-Chieh Chou and   
                 Yen-Lung Huang   Inference for the Weibull distribution
                                  with progressive hybrid censoring  . . . 451--467
                 Yixin Fang and   
                    Junhui Wang   Selection of the number of clusters via
                                  the bootstrap method . . . . . . . . . . 468--477
            Candace Berrett and   
            Catherine A. Calder   Data augmentation strategies for the
                                  Bayesian spatial probit regression model 478--490
            Dimitris Rizopoulos   Fast fitting of joint models for
                                  longitudinal and event time data using a
                                  pseudo-adaptive Gaussian quadrature rule 491--501
            N. Balakrishnan and   
                     M. H. Ling   EM algorithm for one-shot device testing
                                  under the exponential distribution . . . 502--509
               Donghyeon Yu and   
                  Johan Lim and   
                 Feng Liang and   
                 Kyunga Kim and   
              Byung Soo Kim and   
                  Woncheol Jang   Permutation test for incomplete paired
                                  data with application to cDNA microarray
                                  data . . . . . . . . . . . . . . . . . . 510--521
              Kung-Jong Lui and   
               Kuang-Chao Chang   Estimation of the proportion ratio under
                                  a simple crossover trial . . . . . . . . 522--530
               S. Van Aelst and   
            E. Vandervieren and   
                     G. Willems   A Stahel--Donoho estimator based on
                                  Huberized outlyingness . . . . . . . . . 531--542
                Thomas Hotz and   
            Philipp Marnitz and   
          Rahel Stichtenoth and   
              Laurie Davies and   
           Zakhar Kabluchko and   
                      Axel Munk   Locally adaptive image denoising by a
                                  statistical multiresolution criterion    543--558
            Muhtarjan Osman and   
                 Sujit K. Ghosh   Nonparametric regression models for
                                  right-censored data using Bernstein
                                  polynomials  . . . . . . . . . . . . . . 559--573
                   Bo Zhang and   
              Xiaotong Shen and   
               Sunni L. Mumford   Generalized degrees of freedom and
                                  adaptive model selection in linear
                                  mixed-effects models . . . . . . . . . . 574--586
              Guochang Wang and   
                    Nan Lin and   
                   Baoxue Zhang   Functional linear regression after
                                  spline transformation  . . . . . . . . . 587--601
                Junpeng Guo and   
                  Wenhua Li and   
                 Chenhua Li and   
                         Sa Gao   Standardization of interval symbolic
                                  data based on the empirical descriptive
                                  statistics . . . . . . . . . . . . . . . 602--610
                   Jan Luts and   
          Geert Molenberghs and   
              Geert Verbeke and   
          Sabine Van Huffel and   
            Johan A. K. Suykens   A mixed effects least squares support
                                  vector machine model for classification
                                  of longitudinal data . . . . . . . . . . 611--628
                   Dalei Yu and   
               Kelvin K. W. Yau   Conditional Akaike information criterion
                                  for generalized linear mixed models  . . 629--644
            Chyong-Mei Chen and   
                 Tai-Fang C. Lu   Marginal analysis of multivariate
                                  failure time data with a surviving
                                  fraction based on semiparametric
                                  transformation cure models . . . . . . . 645--655
                 Yihao Deng and   
                Roy T. Sabo and   
                N. Rao Chaganty   Multivariate probit analysis of binary
                                  familial data using stochastic
                                  representations  . . . . . . . . . . . . 656--663
              Jianqiang C. Wang   Sample distribution function based
                                  goodness-of-fit test for complex surveys 664--679
          Luz Marina Rondon and   
      Luis Hernando Vanegas and   
               Cristiano Ferraz   Finite population estimation under
                                  generalized linear model assistance  . . 680--697
         Edwin M. M. Ortega and   
          Gauss M. Cordeiro and   
               Artur J. Lemonte   A log-linear regression model for the $
                                  \beta $-Birnbaum--Saunders distribution
                                  with censored data . . . . . . . . . . . 698--718
 Arturo J. Fernández and   
Carlos J. Pérez-González   Optimal acceptance sampling plans for
                                  log-location--scale lifetime models
                                  using average risks  . . . . . . . . . . 719--731
                 Shuowen Hu and   
              D. S. Poskitt and   
                    Xibin Zhang   Bayesian adaptive bandwidth kernel
                                  density estimation of irregular
                                  multivariate distributions . . . . . . . 732--740
          Juan Carlos Gomez and   
           Marie-Francine Moens   PCA document reconstruction for email
                                  classification . . . . . . . . . . . . . 741--751

Computational Statistics & Data Analysis
Volume 56, Number 4, April 1, 2012

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi--vii
              Wing-Kam Fung and   
                  Xuming He and   
                 Mia Hubert and   
            Stephen Portnoy and   
               Huixia Judy Wang   Editorial for the special issue on
                                  quantile regression and semiparametric
                                  methods  . . . . . . . . . . . . . . . . 753--754
             Fabian Sobotka and   
                   Thomas Kneib   Geoadditive expectile regression . . . . 755--767
           Samantha Leorato and   
            Franco Peracchi and   
               Andrei V. Tanase   Asymptotically efficient estimation of
                                  the conditional expected shortfall . . . 768--784
                   Lei Pang and   
                  Wenbin Lu and   
               Huixia Judy Wang   Variance estimation in censored quantile
                                  regression via induced smoothing . . . . 785--796
                Guixian Lin and   
                  Xuming He and   
                Stephen Portnoy   Quantile regression with doubly censored
                                  data . . . . . . . . . . . . . . . . . . 797--812
               Sungwan Bang and   
                Myoungshic Jhun   Simultaneous estimation and factor
                                  selection in quantile regression via
                                  adaptive sup-norm regularization . . . . 813--826
                Yonggang Ji and   
                    Nan Lin and   
                   Baoxue Zhang   Model selection in binary and Tobit
                                  quantile regression using the Gibbs
                                  sampler  . . . . . . . . . . . . . . . . 827--839
           Davy Paindaveine and   
               Miroslav \vSiman   Computing multiple-output regression
                                  quantile regions . . . . . . . . . . . . 840--853
         Andreas Christmann and   
                   Robert Hable   Consistency of support vector machines
                                  using additive kernels for additive
                                  models . . . . . . . . . . . . . . . . . 854--873
      S. M. Enayetur Raheem and   
              S. Ejaz Ahmed and   
                Kjell A. Doksum   Absolute penalty and shrinkage
                                  estimation in partially linear models    874--891
                 Ana Colubi and   
                  Didier Dubois   Special issue on fuzzy sets in
                                  statistics . . . . . . . . . . . . . . . 892--893
                 V. Antoine and   
                   B. Quost and   
               M.-H. Masson and   
                    T. Den\oeux   CECM: Constrained evidential $C$-means
                                  algorithm  . . . . . . . . . . . . . . . 894--914
               Renato Coppi and   
           Pierpaolo D'Urso and   
                 Paolo Giordani   Fuzzy and possibilistic clustering for
                                  fuzzy data . . . . . . . . . . . . . . . 915--927
              Jan Verwaeren and   
            Willem Waegeman and   
               Bernard De Baets   Learning partial ordinal class
                                  memberships with kernel-based
                                  proportional odds models . . . . . . . . 928--942
Gil González-Rodríguez and   
                 Ana Colubi and   
María Ángeles Gil   Fuzzy data treated as functional data: a
                                  one-way ANOVA test approach  . . . . . . 943--955
Ana Belén Ramos-Guajardo and   
María Asunción Lubiano   $K$-sample tests for equality of
                                  variances of random fuzzy sets . . . . . 956--966
        Giulianella Coletti and   
            Osvaldo Gervasi and   
               Sergio Tasso and   
               Barbara Vantaggi   Generalized Bayesian inference in a
                                  fuzzy context: From theory to a virtual
                                  reality application  . . . . . . . . . . 967--980
           Andrea Capotorti and   
                  Eva Barbanera   Credit scoring analysis using a fuzzy
                                  probabilistic rough set model  . . . . . 981--994

Computational Statistics & Data Analysis
Volume 56, Number 5, May 1, 2012

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi--vii
     Martina Mittlböck and   
                 Lutz Edler and   
            Michael LeBlanc and   
               Joyce Niland and   
                Koos Zwinderman   Second Issue for Computational
                                  Statistics for Clinical Research . . . . 995--997
                     Lutz Edler   Obituary for Professor Dr. Dr. h.c.
                                  Norbert Victor (1940--2011)  . . . . . . 998--1015
                Weijie Chen and   
           Waleed A. Yousef and   
          Brandon D. Gallas and   
           Elizabeth R. Hsu and   
             Samir Lababidi and   
                  Rong Tang and   
           Gene A. Pennello and   
          W. Fraser Symmans and   
                  Lajos Pusztai   Uncertainty estimation with a finite
                                  dataset in the assessment of
                                  classification models  . . . . . . . . . 1016--1027
               Marta Fiocco and   
               Theo Stijnen and   
                    Hein Putter   Meta-analysis of time-to-event outcomes
                                  using a hazard-based approach:
                                  Comparison with other models, robustness
                                  and meta-regression  . . . . . . . . . . 1028--1037
           Florian Frommlet and   
          Felix Ruhaltinger and   
        Piotr Twaróg and   
             Ma\lgorzata Bogdan   Modified versions of Bayesian
                                  Information Criterion for genome-wide
                                  association studies  . . . . . . . . . . 1038--1051
               Jingjing Gao and   
                     Yi Pan and   
                  Michael Haber   Assessment of observer agreement for
                                  matched repeated binary measurements . . 1052--1060
        Christoph Gerlinger and   
           Harald Siedentop and   
                  Oke Gerke and   
         Ilka Schellschmidt and   
                   Jan Endrikat   Optimal dose de-escalation trial designs
                                  for novel contraceptives in women  . . . 1061--1068
                 Shan Jiang and   
                   Dongsheng Tu   Inference on the probability $ P(T_1 <
                                  T_2) $ as a measurement of treatment
                                  effect under a density ratio model and
                                  random censoring . . . . . . . . . . . . 1069--1078
           Bernhard Klingenberg   Simultaneous score confidence bounds for
                                  risk differences in multiple comparisons
                                  to a control . . . . . . . . . . . . . . 1079--1089
             F. Konietschke and   
               S. W. Harrar and   
                   K. Lange and   
                     E. Brunner   Ranking procedures for matched pairs
                                  with missing data --- Asymptotic theory
                                  and a small sample approximation . . . . 1090--1102
              Chin-Ying Lai and   
                  Lili Tian and   
         Enrique F. Schisterman   Exact confidence interval estimation for
                                  the Youden index and its corresponding
                                  optimal cut-point  . . . . . . . . . . . 1103--1114
           Ian C. Marschner and   
       Alexandra C. Gillett and   
            Rachel L. O'Connell   Stratified additive Poisson models:
                                  Computational methods and applications
                                  in clinical epidemiology . . . . . . . . 1115--1130
               Junyong Park and   
                    DoHwan Park   Testing the equality of a large number
                                  of normal population means . . . . . . . 1131--1149
               Nick Parsons and   
                 Tim Friede and   
                 Susan Todd and   
        Elsa Valdes Marquez and   
            Jeremy Chataway and   
           Richard Nicholas and   
                 Nigel Stallard   An R package for implementing
                                  simulations for seamless phase II/III
                                  clinical trials using early outcomes for
                                  treatment selection  . . . . . . . . . . 1150--1160
José Antonio Roldán Nofuentes and   
Juan de Dios Luna del Castillo and   
Miguel Ángel Montero Alonso   Global hypothesis test to simultaneously
                                  compare the predictive values of two
                                  binary diagnostic tests  . . . . . . . . 1161--1173
            Michael Rotondi and   
                   Allan Donner   Sample size estimation in cluster
                                  randomized trials: an evidence-based
                                  perspective  . . . . . . . . . . . . . . 1174--1187
                  B. Spangl and   
                      R. Dutter   Analyzing short-term measurements of
                                  heart rate variability in the frequency
                                  domain using robustly estimated spectral
                                  density functions  . . . . . . . . . . . 1188--1199
               Man-Lai Tang and   
               Shi-Fang Qiu and   
                   Wai-Yin Poon   Confidence interval construction for
                                  disease prevalence based on partial
                                  validation series  . . . . . . . . . . . 1200--1220
                 Susan Todd and   
             M. Fazil Baksh and   
                 John Whitehead   Sequential methods for pharmacogenetic
                                  studies  . . . . . . . . . . . . . . . . 1221--1231
                 Maren Vens and   
                Andreas Ziegler   Generalized estimating equations and
                                  regression diagnostics for longitudinal
                                  controlled clinical trials: a case study 1232--1242
          William Volterman and   
            N. Balakrishnan and   
                  Erhard Cramer   Exact nonparametric meta-analysis for
                                  multiple independent doubly Type-II
                                  censored samples . . . . . . . . . . . . 1243--1255
               Helga Wagner and   
               Christine Duller   Bayesian model selection for logistic
                                  regression models with random intercept  1256--1274
                   W. Werft and   
                  A. Benner and   
              A. Kopp-Schneider   On the identification of predictive
                                  biomarkers: Detecting treatment-by-gene
                                  interaction in high-dimensional data . . 1275--1286
                        Hui Xie   Analyzing longitudinal clinical trial
                                  data with nonignorable missingness and
                                  unknown missingness reasons  . . . . . . 1287--1300
                  Zhao Yang and   
               Xuezheng Sun and   
                James W. Hardin   Testing non-inferiority for clustered
                                  matched-pair binary data in diagnostic
                                  medicine . . . . . . . . . . . . . . . . 1301--1320

Computational Statistics & Data Analysis
Volume 56, Number 6, June, 2012

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi--x
          Richard A. Levine and   
               Juanjuan Fan and   
    Pamela Ohman Strickland and   
                 Shaban Demirel   Frailty modeling via the empirical
                                  Bayes--Hastings sampler  . . . . . . . . 1303--1318
              Eric Ruggieri and   
            Charles E. Lawrence   On efficient calculations for Bayesian
                                  variable selection . . . . . . . . . . . 1319--1332
            Katja Ignatieva and   
                 Eckhard Platen   Estimating the diffusion coefficient
                                  function for a diversified world stock
                                  index  . . . . . . . . . . . . . . . . . 1333--1349
               Hafiz M. R. Khan   Predictive inference for a future
                                  response using symmetrically trimmed
                                  sample from the half-normal model  . . . 1350--1361
                 Jo Eidsvik and   
           Andrew O. Finley and   
           Sudipto Banerjee and   
               Håvard Rue   Approximate Bayesian inference for large
                                  spatial datasets using predictive
                                  process models . . . . . . . . . . . . . 1362--1380
         Volodymyr Melnykov and   
                  Igor Melnykov   Initializing the EM algorithm in
                                  Gaussian mixture models with an unknown
                                  number of components . . . . . . . . . . 1381--1395
    Bindu Punathumparambath and   
         Sangita Kulathinal and   
               Sebastian George   Asymmetric type II compound Laplace
                                  distribution and its application to
                                  microarray gene expression . . . . . . . 1396--1404
André Schützenmeister and   
              Hans-Peter Piepho   Residual analysis of linear mixed models
                                  using a simulation approach  . . . . . . 1405--1416
               Paula Moraga and   
               Andrew B. Lawson   Gaussian component mixtures and CAR
                                  models in Bayesian disease mapping . . . 1417--1433
        Hervé Cardot and   
         Peggy Cénac and   
              Jean-Marie Monnez   A fast and recursive algorithm for
                                  clustering large datasets with
                                  $k$-medians  . . . . . . . . . . . . . . 1434--1449
                   F. Rigat and   
                        A. Mira   Parallel hierarchical sampling: a
                                  general-purpose interacting Markov
                                  chains Monte Carlo algorithm . . . . . . 1450--1467
          Robert J. Erhardt and   
               Richard L. Smith   Approximate Bayesian computing for
                                  spatial extremes . . . . . . . . . . . . 1468--1481
              Davide Pigoli and   
              Laura M. Sangalli   Wavelets in functional data analysis:
                                  Estimation of multidimensional curves
                                  and their derivatives  . . . . . . . . . 1482--1498
          Lizandra C. Fabio and   
          Gilberto A. Paula and   
         Mário de Castro   A Poisson mixed model with nonnormal
                                  random effect distribution . . . . . . . 1499--1510
             Carlos Almeida and   
                  Claudia Czado   Efficient Bayesian inference for
                                  stochastic time-varying copula models    1511--1527
                Hannes Kazianka   Objective Bayesian analysis for the
                                  normal compositional model . . . . . . . 1528--1544
               Keunbaik Lee and   
                JungBok Lee and   
               Joseph Hagan and   
                   Jae Keun Yoo   Modeling the random effects covariance
                                  matrix for generalized linear mixed
                                  models . . . . . . . . . . . . . . . . . 1545--1551
             A. Hapfelmeier and   
                 T. Hothorn and   
                         K. Ulm   Recursive partitioning on incomplete
                                  data using surrogate decisions and
                                  multiple imputation  . . . . . . . . . . 1552--1565
             Michael Kohler and   
                 Adam Krzy\.zak   Nonparametric estimation of
                                  non-stationary velocity fields from $3$D
                                  particle tracking velocimetry data . . . 1566--1580
                Eunju Hwang and   
                  Dong Wan Shin   Stationary bootstrap for kernel density
                                  estimators under $ \psi $-weak
                                  dependence . . . . . . . . . . . . . . . 1581--1593
            Graciela Boente and   
               Marcelo Ruiz and   
                 Ruben H. Zamar   Bandwidth choice for robust
                                  nonparametric scale function estimation  1594--1608
            Raydonal Ospina and   
           Silvia L. P. Ferrari   A general class of zero-or-one inflated
                                  beta regression models . . . . . . . . . 1609--1623
            Rhian M. Daniel and   
             Michael G. Kenward   A method for increasing the robustness
                                  of multiple imputation . . . . . . . . . 1624--1643
              Ricardo Leiva and   
                   Anuradha Roy   Linear discrimination for three-level
                                  multivariate data with a separable
                                  additive mean vector and a doubly
                                  exchangeable covariance structure  . . . 1644--1661
      Luis Hernando Vanegas and   
   Luz Marina Rondón and   
Francisco José A. Cysneiros   Diagnostic procedures in
                                  Birnbaum--Saunders nonlinear regression
                                  models . . . . . . . . . . . . . . . . . 1662--1680
                 Kichun Lee and   
                Brani Vidakovic   Semi-supervised wavelet shrinkage  . . . 1681--1691
             Hubert J. Chen and   
                     Shu-Fei Wu   A confidence region for the largest and
                                  the smallest means under
                                  heteroscedasticity . . . . . . . . . . . 1692--1702
             Patrick Borges and   
          Josemar Rodrigues and   
     Narayanaswamy Balakrishnan   Correlated destructive generalized power
                                  series cure rate models and associated
                                  inference with an application to a
                                  cutaneous melanoma data  . . . . . . . . 1703--1713
          George Karabatsos and   
              Stephen G. Walker   Bayesian nonparametric mixed random
                                  utility models . . . . . . . . . . . . . 1714--1722
          Giuseppina Albano and   
            Virginia Giorno and   
Patricia Román-Román and   
          Francisco Torres-Ruiz   Inference on a stochastic
                                  two-compartment model in tumor growth    1723--1736
         Patrick S. Carmack and   
          Jeffrey S. Spence and   
        William R. Schucany and   
           Richard F. Gunst and   
                  Qihua Lin and   
                Robert W. Haley   A new class of semiparametric
                                  semivariogram and nugget estimators  . . 1737--1747
               N. Asomaning and   
                   K. J. Archer   High-throughput DNA methylation datasets
                                  for evaluating false discovery rate
                                  methodologies  . . . . . . . . . . . . . 1748--1756
               N. M. Neykov and   
               P. \vCi\vzek and   
               P. Filzmoser and   
                 P. N. Neytchev   The least trimmed quantile regression    1757--1770
      Marcelo Azevedo Costa and   
Renato Martins Assunção and   
               Martin Kulldorff   Constrained spanning tree algorithms for
                                  irregularly-shaped spatial clustering    1771--1783
                 Chris J. Lloyd   Computing highly accurate or exact
                                  $P$-values using importance sampling . . 1784--1794
                 James G. Scott   Benchmarking historical corporate
                                  performance  . . . . . . . . . . . . . . 1795--1807
Ramiro Ruiz-Cárdenas and   
          Elias T. Krainski and   
               Håvard Rue   Direct fitting of dynamic models using
                                  integrated nested Laplace approximations
                                  --- INLA . . . . . . . . . . . . . . . . 1808--1828
                  Zhao Yang and   
               Xuezheng Sun and   
                James W. Hardin   Testing ratio of marginal probabilities
                                  in clustered matched-pair binary data    1829--1836
                  Zhen Pang and   
                     Liugen Xue   Estimation for the single-index models
                                  with random effects  . . . . . . . . . . 1837--1853
           John V. Tsimikas and   
         Leonidas E. Bantis and   
            Stelios D. Georgiou   Inference in generalized linear
                                  regression models with a censored
                                  covariate  . . . . . . . . . . . . . . . 1854--1868
                Julie Josse and   
         François Husson   Selecting the number of components in
                                  principal component analysis using
                                  cross-validation approximations  . . . . 1869--1879
            Carol Alexander and   
          Gauss M. Cordeiro and   
         Edwin M. M. Ortega and   
José María Sarabia   Generalized beta-generated distributions 1880--1897
         J. M. Marín and   
  M. T. Rodríguez-Bernal   Multiple hypothesis testing and
                                  clustering with mixtures of non-central
                                  $t$-distributions applied in microarray
                                  data analysis  . . . . . . . . . . . . . 1898--1907
                  Ana Diniz and   
      João Barreiros and   
                     Nuno Crato   A new model for explaining long-range
                                  correlations in human time interval
                                  production . . . . . . . . . . . . . . . 1908--1919
               M. Baragatti and   
                    D. Pommeret   A study of variable selection using
                                  $g$-prior distribution with ridge
                                  parameter  . . . . . . . . . . . . . . . 1920--1934
              Joseph Sexton and   
              Rune Blomhoff and   
             Anette Karlsen and   
                   Petter Laake   Adaptive combination of dependent tests  1935--1943
                Samuel Iddi and   
              Geert Molenberghs   A combined overdispersed and
                                  marginalized multilevel model  . . . . . 1944--1951
                   Olcay Arslan   Weighted LAD-LASSO method for robust
                                  parameter estimation and variable
                                  selection in regression  . . . . . . . . 1952--1965
             R. Van Oirbeek and   
                    E. Lesaffre   Assessing the predictive ability of a
                                  multilevel binary regression model . . . 1966--1980
              Zhenghui Feng and   
                     Lixing Zhu   An alternating
                                  determination--optimization approach for
                                  an additive multi-index model  . . . . . 1981--1993
               Liming Xiang and   
           Kelvin K. W. Yau and   
                    Andy H. Lee   The robust estimation method for a
                                  finite mixture of Poisson mixed-effect
                                  models . . . . . . . . . . . . . . . . . 1994--2005
                    Pang Du and   
                Guang Cheng and   
                      Hua Liang   Semiparametric regression models with
                                  additive nonparametric components and
                                  high dimensional parametric components   2006--2017
                Shuo-Jye Wu and   
               Syuan-Rong Huang   Progressively first-failure censored
                                  reliability sampling plans with cost
                                  constraint . . . . . . . . . . . . . . . 2018--2030
            Jemila S. Hamid and   
      Celia M. T. Greenwood and   
                  Joseph Beyene   Weighted kernel Fisher discriminant
                                  analysis for integrating heterogeneous
                                  data . . . . . . . . . . . . . . . . . . 2031--2040
                    Yang Li and   
                Jianguo Sun and   
                  Shuguang Song   Statistical analysis of bivariate
                                  failure time data with Marshall--Olkin
                                  Weibull models . . . . . . . . . . . . . 2041--2050
                  Xuewen Lu and   
               Peter X.-K. Song   On efficient estimation in additive
                                  hazards regression with current status
                                  data . . . . . . . . . . . . . . . . . . 2051--2058
                  M. Crabbe and   
                  M. Vandebroek   Improving the efficiency of
                                  individualized designs for the mixed
                                  logit choice model by including
                                  covariates . . . . . . . . . . . . . . . 2059--2072
                M. Delattre and   
                    M. Lavielle   Maximum likelihood estimation in
                                  discrete mixed hidden Markov models
                                  using the SAEM algorithm . . . . . . . . 2073--2085
 Katarzyna Jó\.zwiak and   
                Mirjam Moerbeek   Cost-effective designs for trials with
                                  discrete-time survival endpoints . . . . 2086--2096
Jean-François Quessy and   
  François Éthier   Cramér--von Mises and characteristic
                                  function tests for the two and
                                  $k$-sample problems with dependent data  2097--2111
               Chenjian Ran and   
                      Zili Deng   Self-tuning weighted measurement fusion
                                  Kalman filtering algorithm . . . . . . . 2112--2128
                  Xinmin Li and   
                  Lili Tian and   
                  Juan Wang and   
             Josephia R. Muindi   Comparison of quantiles for several
                                  normal populations . . . . . . . . . . . 2129--2138
             Miguel Artiach and   
                   Josu Arteche   Doubly fractional models for dynamic
                                  heteroscedastic cycles . . . . . . . . . 2139--2158
              Meng Sang Ong and   
              Ye Chow Kuang and   
            Melanie Po-Leen Ooi   Statistical measures of two dimensional
                                  point set uniformity . . . . . . . . . . 2159--2181
            Louis Le Tarnec and   
                  Damien Garcia   Corrigendum to ``Robust smoothing of
                                  gridded data in one and higher
                                  dimensions with missing values''
                                  [Comput. Statist. Data Anal. \bf 54
                                  (2010) 1167--1178] . . . . . . . . . . . 2182

Computational Statistics & Data Analysis
Volume 56, Number 7, July, 2012

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi--vii
                   Changwon Yoo   The Bayesian method for causal discovery
                                  of latent-variable models from a mixture
                                  of experimental and observational data   2183--2205
            Nina Golyandina and   
          Andrey Pepelyshev and   
                 Ansgar Steland   New approaches to nonparametric density
                                  estimation and selection of smoothing
                                  parameters . . . . . . . . . . . . . . . 2206--2218
       I. Barranco-Chamorro and   
M. D. Jiménez-Gamero and   
       J. L. Moreno-Rebollo and   
    J. M. Muñoz-Pichardo   Case-deletion type diagnostics for
                                  calibration estimators in survey
                                  sampling . . . . . . . . . . . . . . . . 2219--2236
              Takeshi Emura and   
                Yoshihiko Konno   A goodness-of-fit test for parametric
                                  models based on dependently truncated
                                  data . . . . . . . . . . . . . . . . . . 2237--2250
                F. J. Rubio and   
                 M. F. J. Steel   On the Marshall--Olkin transformation as
                                  a skewing mechanism  . . . . . . . . . . 2251--2257
                Tsung-Chi Cheng   On simultaneously identifying outliers
                                  and heteroscedasticity without specific
                                  form . . . . . . . . . . . . . . . . . . 2258--2272
            Santosh Ghimire and   
                    Haiyan Wang   Classification of image pixels based on
                                  minimum distance and hypothesis testing  2273--2287
            P. L. Gradowska and   
                    R. M. Cooke   Least squares type estimation for Cox
                                  regression model and specification error 2288--2302
              Zhanshou Chen and   
                     Zi Jin and   
                 Zheng Tian and   
                      Peiyan Qi   Bootstrap testing multiple changes in
                                  persistence for a heavy-tailed sequence  2303--2316
          Jean-Eudes Dazard and   
                   J. Sunil Rao   Joint adaptive mean--variance
                                  regularization and variance
                                  stabilization of high dimensional data   2317--2333
    Andrés M. Alonso and   
               David Casado and   
                      Juan Romo   Supervised classification for functional
                                  data: a weighted distance approach . . . 2334--2346
                 Xiuqin Bai and   
                 Weixin Yao and   
                  John E. Boyer   Robust fitting of mixture regression
                                  models . . . . . . . . . . . . . . . . . 2347--2359
                Leen Slaets and   
            Gerda Claeskens and   
                     Mia Hubert   Phase and amplitude-based clustering for
                                  functional data  . . . . . . . . . . . . 2360--2374

Computational Statistics & Data Analysis
Volume 56, Number 8, August, 2012

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi--vii
             Stevenn Volant and   
Marie-Laure Martin Magniette and   
          Stéphane Robin   Variational Bayes approach for model
                                  aggregation in unsupervised
                                  classification with Markovian dependency 2375--2387
            Valeria Rulloni and   
               Oscar Bustos and   
            Ana Georgina Flesia   Large gap imputation in remote sensed
                                  imagery of the environment . . . . . . . 2388--2403
         Nicole H. Augustin and   
  Erik-André Sauleau and   
                  Simon N. Wood   On quantile quantile plots for
                                  generalized linear models  . . . . . . . 2404--2409
             H. Y. Kevin Lu and   
              G. Alastair Young   Parametric bootstrap under model
                                  mis-specification  . . . . . . . . . . . 2410--2420
             Michael Levine and   
             Jinguang (Tony) Li   A simple additivity test for
                                  conditionally heteroscedastic nonlinear
                                  autoregression . . . . . . . . . . . . . 2421--2429
             A. Marie Fitch and   
                  Beatrix Jones   The cost of using decomposable Gaussian
                                  graphical models for computational
                                  convenience  . . . . . . . . . . . . . . 2430--2441
                   Min Wang and   
                   Xiaoqian Sun   Bayesian inference for the correlation
                                  coefficient in two seemingly unrelated
                                  regressions  . . . . . . . . . . . . . . 2442--2453
               Byungtae Seo and   
                   Daeyoung Kim   Root selection in normal mixture models  2454--2470
           Ahmed A. Soliman and   
         Ahmed H. Abd-Ellah and   
     Naser A. Abou-Elheggag and   
          Gamal A. Abd-Elmougod   Estimation of the parameters of life for
                                  Gompertz distribution using progressive
                                  first-failure censored data  . . . . . . 2471--2485
                Paul H. Lee and   
                Philip L. H. Yu   Mixtures of weighted distance-based
                                  models for ranking data with
                                  applications in political studies  . . . 2486--2500
            Francesca Torti and   
          Domenico Perrotta and   
        Anthony C. Atkinson and   
                    Marco Riani   Benchmark testing of algorithms for very
                                  robust regression: FS, LMS and LTS . . . 2501--2512
           Rubiane M. Pires and   
             Carlos A. R. Diniz   Correlated binomial regression models    2513--2525
                    Liya Fu and   
                   You-Gan Wang   Quantile regression for longitudinal
                                  data with a working correlation model    2526--2538
               M. A. Graham and   
               A. Mukherjee and   
                 S. Chakraborti   Distribution-free exponentially weighted
                                  moving average control charts for
                                  monitoring unknown location  . . . . . . 2539--2561
              Hongmei Zhang and   
              Kaushik Ghosh and   
                    Pulak Ghosh   Sampling designs via a multivariate
                                  hypergeometric-Dirichlet process model
                                  for a multi-species assemblage with
                                  unknown heterogeneity  . . . . . . . . . 2562--2573
          Daniel P. Beavers and   
                James D. Stamey   Bayesian sample size determination for
                                  binary regression with a misclassified
                                  covariate and no gold standard . . . . . 2574--2582
                  Jianbo Li and   
                     Minggao Gu   Adaptive LASSO for general
                                  transformation models with right
                                  censored data  . . . . . . . . . . . . . 2583--2597
               Huaihou Chen and   
          Myunghee Cho Paik and   
          Mandip S. Dhamoon and   
           Yeseon Park Moon and   
              Joshua Willey and   
             Ralph L. Sacco and   
          Mitchell S. V. Elkind   Semiparametric model for the
                                  dichotomized functional outcome after
                                  stroke: the Northern Manhattan Study . . 2598--2608

Computational Statistics & Data Analysis
Volume 56, Number 9, September, 2012

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi--vii
           Alberto Pasanisi and   
                   Shuai Fu and   
               Nicolas Bousquet   Estimating discrete Markov models from
                                  various incomplete data schemes  . . . . 2609--2625
              Harri Kiiveri and   
                  Frank de Hoog   Fitting very large sparse Gaussian
                                  graphical models . . . . . . . . . . . . 2626--2636
            N. Balakrishnan and   
               K. F. Davies and   
              J. P. Keating and   
                    R. L. Mason   Computation of optimal plotting points
                                  based on Pitman closeness with an
                                  application to goodness-of-fit for
                                  location-scale families  . . . . . . . . 2637--2649
              G. Fiorentini and   
                  C. Planas and   
                       A. Rossi   The marginal likelihood of dynamic
                                  mixture models . . . . . . . . . . . . . 2650--2662
                    Mingan Yang   Bayesian variable selection for logistic
                                  mixed model with nonparametric random
                                  effects  . . . . . . . . . . . . . . . . 2663--2674
                    Lili Yu and   
                  Karl E. Peace   Spline nonparametric quasi-likelihood
                                  regression within the frame of the
                                  accelerated failure time model . . . . . 2675--2687
J. A. Martín-Fernández and   
                    K. Hron and   
                   M. Templ and   
               P. Filzmoser and   
          J. Palarea-Albaladejo   Model-based replacement of rounded zeros
                                  in compositional data: Classical and
                                  robust approaches  . . . . . . . . . . . 2688--2704
              Thomas Suesse and   
                        Ivy Liu   Mantel--Haenszel estimators of odds
                                  ratios for stratified dependent binomial
                                  data . . . . . . . . . . . . . . . . . . 2705--2717
                Shuangge Ma and   
                   Ying Dai and   
                 Jian Huang and   
                       Yang Xie   Identification of breast cancer
                                  prognosis markers via integrative
                                  analysis . . . . . . . . . . . . . . . . 2718--2728
                    J. Wang and   
                    S. K. Ghosh   Shape restricted nonparametric
                                  regression with Bernstein polynomials    2729--2741
             Sounak Chakraborty   Bayesian multiple response kernel
                                  regression model for high dimensional
                                  data and its practical applications in
                                  near infrared spectroscopy . . . . . . . 2742--2755
                  Gunky Kim and   
               Raymond Chambers   Regression analysis under incomplete
                                  linkage  . . . . . . . . . . . . . . . . 2756--2770
            A. Al-Sharadqah and   
                     N. Chernov   A doubly optimal ellipse fit . . . . . . 2771--2781
         Tolulope T. Sajobi and   
                Lisa M. Lix and   
           Bolanle M. Dansu and   
            William Laverty and   
                     Longhai Li   Robust descriptive discriminant analysis
                                  for repeated measures data . . . . . . . 2782--2794
                 Jaejik Kim and   
                     L. Billard   Dissimilarity measures and divisive
                                  clustering for symbolic
                                  multimodal-valued data . . . . . . . . . 2795--2808
               Daniel Turek and   
                 David Fletcher   Model-averaged Wald confidence intervals 2809--2815
                 Gyemin Lee and   
                  Clayton Scott   EM algorithms for multivariate Gaussian
                                  mixture models with truncated and
                                  censored data  . . . . . . . . . . . . . 2816--2829
               Yi-Hung Kung and   
             Chang-Ting Lin and   
                   Yu-Shan Shih   Split variable selection for tree
                                  modeling on rank data  . . . . . . . . . 2830--2836

Computational Statistics & Data Analysis
Volume 56, Number 10, October, 2012

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi--vii
               Ray Chambers and   
               J. N. K. Rao and   
            Domingo Morales and   
    María Dolores Ugarte   Special issue on small area estimation   2837--2839
              M. D. Esteban and   
                 D. Morales and   
            A. Pérez and   
           L. Santamaría   Small area estimation of poverty
                                  proportions under area-level time models 2840--2855
          Jan Pablo Burgard and   
           Ralf T. Münnich   Modelling over and undercounts for
                                  design-based Monte Carlo studies in
                                  small area estimation: an application to
                                  the German register-assisted census  . . 2856--2863
            V. R. S. Ferraz and   
                 F. A. S. Moura   Small area estimation using skew normal
                                  models . . . . . . . . . . . . . . . . . 2864--2874
              Hukum Chandra and   
             Nicola Salvati and   
               Ray Chambers and   
                 Nikos Tzavidis   Small area estimation under spatial
                                  nonstationarity  . . . . . . . . . . . . 2875--2888
          Stefano Marchetti and   
             Nikos Tzavidis and   
                 Monica Pratesi   Non-parametric bootstrap mean squared
                                  error estimation for $M$-quantile
                                  estimators of small area averages,
                                  quantiles and poverty indicators . . . . 2889--2902
María José Lombardía and   
                Stefan Sperlich   A new class of semi-mixed effects models
                                  and its application in small area
                                  estimation . . . . . . . . . . . . . . . 2903--2917
               Sabine Krieg and   
          Jan A. van den Brakel   Estimation of the monthly unemployment
                                  rate for six domains through structural
                                  time series modelling with cointegrated
                                  trends . . . . . . . . . . . . . . . . . 2918--2933
             A. F. Militino and   
                  T. Goicoa and   
                   M. D. Ugarte   Estimating the percentage of food
                                  expenditure in small areas using
                                  bias-corrected $P$-spline based
                                  estimators . . . . . . . . . . . . . . . 2934--2948
              Emily J. Berg and   
                Wayne A. Fuller   Estimators of error covariance matrices
                                  for small area prediction  . . . . . . . 2949--2962
           Dietmar Maringer and   
           Sandra Paterlini and   
                   Peter Winker   The 3rd Special Issue on Optimization
                                  Heuristics in Estimation and Modelling
                                  Problems . . . . . . . . . . . . . . . . 2963--2964
                Mark A. Wolters   A particle swarm algorithm with broad
                                  applicability in shape-constrained
                                  estimation . . . . . . . . . . . . . . . 2965--2975
                     Yiyuan She   An iterative algorithm for fitting
                                  nonconvex penalized generalized linear
                                  models with grouped predictors . . . . . 2976--2990

Computational Statistics & Data Analysis
Volume 56, Number 11, November, 2012

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi--ix
              D. A. Belsley and   
       E. J. Kontoghiorghes and   
             H. K. Van Dijk and   
                Luc Bauwens and   
           David A. Belsley and   
Erricos John Kontoghiorghes and   
           Siem Jan Koopman and   
            Michael McAleer and   
         Herman K. van Dijk and   
        Alessandra Amendola and   
              Monica Billio and   
           Christophe Croux and   
           Cathy W. S. Chen and   
           Russell Davidson and   
            Pierre Duchesne and   
               Paolo Foschi and   
           Christian Francq and   
          Ana-Maria Fuertes and   
                  Gary Koop and   
               Lynda Khalaf and   
              Marc Paolella and   
                         others   \booktitleThe Annals of Computational
                                  and Financial Econometrics, first issue  2991--2992
                 Kris Boudt and   
       Jonathan Cornelissen and   
               Christophe Croux   Jump robust daily covariance estimation
                                  by disentangling variance and
                                  correlation components . . . . . . . . . 2993--3005
              J. S. K. Chan and   
               C. P. Y. Lam and   
                P. L. H. Yu and   
              S. T. B. Choy and   
                  C. W. S. Chen   A Bayesian conditional autoregressive
                                  geometric process model for range data   3006--3019
          Stefan De Wachter and   
                 Elias Tzavalis   Detection of structural breaks in linear
                                  dynamic panel data models  . . . . . . . 3020--3034
          Philippe J. Deschamps   Bayesian estimation of generalized
                                  hyperbolic skewed student GARCH models   3035--3054
                 Dennis Fok and   
               Richard Paap and   
            Philip Hans Franses   Modeling dynamic effects of promotion on
                                  interpurchase times  . . . . . . . . . . 3055--3069
              Sebastian Fossati   Covariate unit root tests with good size
                                  and power  . . . . . . . . . . . . . . . 3070--3079
                   Roland Fried   On the online estimation of local
                                  constant volatilities  . . . . . . . . . 3080--3090
     Fabian Y. R. P. Bocart and   
            Christian M. Hafner   Econometric analysis of volatile art
                                  markets  . . . . . . . . . . . . . . . . 3091--3104
        Tore Selland Kleppe and   
              Hans Julius Skaug   Fitting general stochastic volatility
                                  models using Laplace accelerated
                                  sequential importance sampling . . . . . 3105--3119
             Deborah Gefang and   
                  Gary Koop and   
                Simon M. Potter   The dynamics of UK and US inflation
                                  expectations . . . . . . . . . . . . . . 3120--3133
         Virginie Dordonnat and   
           Siem Jan Koopman and   
                    Marius Ooms   Dynamic factors in periodic time-varying
                                  regressions with an application to
                                  hourly electricity load modelling  . . . 3134--3152
          Jaya Krishnakumar and   
                Andi Kabili and   
                      Ilir Roko   Estimation of SEM with GARCH errors  . . 3153--3181
        Serigne N. Lô and   
              Elvezio Ronchetti   Robust small sample accurate inference
                                  in moment condition models . . . . . . . 3182--3197
                  Richard Luger   Finite-sample bootstrap inference in
                                  GARCH models with heavy-tailed
                                  innovations  . . . . . . . . . . . . . . 3198--3211
     Elena Martinez-Sanchis and   
                  Juan Mora and   
                 Ilker Kandemir   Counterfactual distributions of wages
                                  via quantile regression with endogeneity 3212--3229
     V. Blueschke-Nikolaeva and   
               D. Blueschke and   
                        R. Neck   Optimal control of nonlinear dynamic
                                  econometric models: an algorithm and an
                                  application  . . . . . . . . . . . . . . 3230--3240
            Jouchi Nakajima and   
          Tsuyoshi Kunihama and   
             Yasuhiro Omori and   
Sylvia Frühwirth-Schnatter   Generalized extreme value distribution
                                  with time-dependence using the AR and MA
                                  models in state space form . . . . . . . 3241--3259
             Arvid Raknerud and   
            Òivind Skare   Indirect inference methods for
                                  stochastic volatility models based on
                                  non-Gaussian Ornstein--Uhlenbeck
                                  processes  . . . . . . . . . . . . . . . 3260--3275
            Tiziano Bellini and   
                    Marco Riani   Robust analysis of default intensity . . 3276--3285
                Lorenzo Trapani   On the asymptotic $t$-test for large
                                  nonstationary panel models . . . . . . . 3286--3306
           David A. Belsley and   
           Cathy W. S. Chen and   
           Christian Francq and   
            Giampiero Gallo and   
               Lynda Khalaf and   
Erricos John Kontoghiorghes and   
             Herman K. van Dijk   The sixth special issue on computational
                                  econometrics . . . . . . . . . . . . . . 3307--3308
              S. Ejaz Ahmed and   
           Christopher J. Nicol   An application of shrinkage estimation
                                  to the nonlinear regression model  . . . 3309--3321
             Vitali Alexeev and   
                   Alex Maynard   Localized level crossing random walk
                                  test robust to the presence of
                                  structural breaks  . . . . . . . . . . . 3322--3344
               Ruey S. Tsay and   
                  Tomohiro Ando   Bayesian panel data analysis for
                                  exploring the impact of subprime
                                  financial crisis on the US stock market  3345--3365
    P. Araújo Santos and   
              M. I. Fraga Alves   A new class of independence tests for
                                  interval forecasts evaluation  . . . . . 3366--3380
            Badi H. Baltagi and   
            Georges Bresson and   
                  Alain Pirotte   Forecasting with spatial panel data  . . 3381--3397
                David Ardia and   
       Nalan Ba\cstürk and   
        Lennart Hoogerheide and   
             Herman K. van Dijk   A comparative study of Monte Carlo
                                  methods for efficient evaluation of
                                  marginal likelihood  . . . . . . . . . . 3398--3414
                Luc Bauwens and   
          Jeroen V. K. Rombouts   On marginal likelihood computation in
                                  change-point models  . . . . . . . . . . 3415--3429
                  Jan Beran and   
                  Dieter Schell   On robust tail index estimation  . . . . 3430--3443
            Francesco Bravo and   
                 Federico Crudu   Efficient bootstrap with weakly
                                  dependent processes  . . . . . . . . . . 3444--3458
       Massimiliano Caporin and   
                 Juliusz Pre\'s   Modelling and forecasting wind speed
                                  intensity for weather risk management    3459--3476
             Ngai Hang Chan and   
              Hoi Ying Wong and   
                      Jing Zhao   Structural model of credit migration . . 3477--3490
                Marco Gallegati   A wavelet-based approach to test for
                                  financial market contagion . . . . . . . 3491--3497
                  Qian Chen and   
            Richard Gerlach and   
                        Zudi Lu   Bayesian Value-at-Risk and expected
                                  shortfall forecasting via the asymmetric
                                  Laplace distribution . . . . . . . . . . 3498--3516
              Monica Billio and   
             Mila Getmansky and   
               Loriana Pelizzon   Dynamic risk exposures in hedge funds    3517--3532
        Christian M. Hafner and   
                 Olga Reznikova   On the estimation of dynamic conditional
                                  correlation models . . . . . . . . . . . 3533--3545
           Massimo Guidolin and   
                    Stuart Hyde   Simple VARs cannot approximate Markov
                                  switching asset allocation decisions: an
                                  out-of-sample assessment . . . . . . . . 3546--3566
              Jan F. Kiviet and   
                 Jerzy Niemczyk   Comparing the asymptotic and empirical
                                  (un)conditional distributions of OLS and
                                  IV in a linear static simultaneous
                                  equation . . . . . . . . . . . . . . . . 3567--3586
                    B. Klar and   
                 F. Lindner and   
                S. G. Meintanis   Specification tests for the error
                                  distribution in GARCH models . . . . . . 3587--3598
               Rachidi Kotchoni   Applications of the characteristic
                                  function-based continuum GMM in finance  3599--3622
              Laurie Davies and   
 Christian Höhenrieder and   
             Walter Krämer   Recursive computation of piecewise
                                  constant volatilities  . . . . . . . . . 3623--3631
                Wilson Kwan and   
               Wai Keung Li and   
                     Guodong Li   On the estimation and diagnostic
                                  checking of the ARFIMA--HYGARCH model    3632--3644
                   Junye Li and   
               Carlo Favero and   
                    Fulvio Ortu   A spectral estimation of tempered stable
                                  stochastic volatility models and option
                                  pricing  . . . . . . . . . . . . . . . . 3645--3658
Aristidis K. Nikoloulopoulos and   
                  Harry Joe and   
                      Haijun Li   Vine copulas with asymmetric tail
                                  dependence and applications to financial
                                  return data  . . . . . . . . . . . . . . 3659--3673
         Tsunehiro Ishihara and   
                 Yasuhiro Omori   Efficient Bayesian estimation of a
                                  multivariate stochastic volatility model
                                  with cross leverage and heavy-tailed
                                  errors . . . . . . . . . . . . . . . . . 3674--3689
            Jouchi Nakajima and   
                 Yasuhiro Omori   Stochastic volatility model with
                                  leverage and asymmetrically heavy-tailed
                                  error using GH skew Student's
                                  $t$-distribution . . . . . . . . . . . . 3690--3704
              Jan F. Kiviet and   
           Garry D. A. Phillips   Higher-order asymptotic expansions of
                                  the least-squares estimation bias in
                                  first-order dynamic regression models    3705--3729
               Davide Raggi and   
              Silvano Bordignon   Long memory and nonlinearities in
                                  realized volatility: a Markov switching
                                  approach . . . . . . . . . . . . . . . . 3730--3742
               G. W. Peters and   
               S. A. Sisson and   
                         Y. Fan   Likelihood-free Bayesian inference for $
                                  \alpha $-stable models . . . . . . . . . 3743--3756
           Alessandro Carta and   
               Mark F. J. Steel   Modelling multi-output stochastic
                                  frontiers using copulas  . . . . . . . . 3757--3773
           Nikolaus Hautsch and   
                      Fuyu Yang   Bayesian inference in a Stochastic
                                  Volatility Nelson--Siegel model  . . . . 3774--3792
          Christian Huurman and   
        Francesco Ravazzolo and   
                      Chen Zhou   The power of weather . . . . . . . . . . 3793--3807

Computational Statistics & Data Analysis
Volume 56, Number 12, December, 2012

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi--ix
        Ioanna Manolopoulou and   
           Thomas B. Kepler and   
                 Daniel M. Merl   Mixtures of Gaussian wells: Theory,
                                  computation, and application . . . . . . 3809--3820
                  T. Teuber and   
                        A. Lang   A new similarity measure for nonlocal
                                  filtering in the presence of
                                  multiplicative noise . . . . . . . . . . 3821--3842
             Adrian O'Hagan and   
      Thomas Brendan Murphy and   
          Isobel Claire Gormley   Computational aspects of fitting mixture
                                  models via the expectation--maximization
                                  algorithm  . . . . . . . . . . . . . . . 3843--3864
                 A. Kitsche and   
              L. A. Hothorn and   
               F. Schaarschmidt   The use of historical controls in
                                  estimating simultaneous confidence
                                  intervals for comparisons against a
                                  concurrent control . . . . . . . . . . . 3865--3875
                 Pooja Soni and   
                 Isha Dewan and   
                   Kanchan Jain   Nonparametric estimation of quantile
                                  density function . . . . . . . . . . . . 3876--3886
            Cecilia Azevedo and   
        Víctor Leiva and   
             Emilia Athayde and   
                N. Balakrishnan   Shape and change point analyses of the
                                  Birnbaum--Saunders-$t$ hazard rate and
                                  associated estimation  . . . . . . . . . 3887--3897
                M. Oliveira and   
            R. M. Crujeiras and   
      A. Rodríguez-Casal   A plug-in rule for bandwidth selection
                                  in circular density estimation . . . . . 3898--3908
                   Hua Zhou and   
                    Yiwen Zhang   EM vs MM: a case study . . . . . . . . . 3909--3920
          Gladys E. Salcedo and   
    Rogério F. Porto and   
              Pedro A. Morettin   Comparing non-stationary and irregularly
                                  spaced time series . . . . . . . . . . . 3921--3934
               Giles Hooker and   
                James O. Ramsay   Learned-loss boosting  . . . . . . . . . 3935--3944
              Chin-I. Cheng and   
               Paul L. Speckman   Bayesian smoothing spline analysis of
                                  variance . . . . . . . . . . . . . . . . 3945--3958
                  Rui Paulo and   
Gonzalo García-Donato and   
            Jesús Palomo   Calibration of computer models with
                                  multivariate output  . . . . . . . . . . 3959--3974
               Shulin Zhang and   
           Peter X.-K. Song and   
                 Daimin Shi and   
                   Qian M. Zhou   Information ratio test for model
                                  misspecification on parametric
                                  structures in stochastic diffusion
                                  models . . . . . . . . . . . . . . . . . 3975--3987
Lluís Bermúdez and   
                Dimitris Karlis   A finite mixture of bivariate Poisson
                                  regression models with an application to
                                  insurance ratemaking . . . . . . . . . . 3988--3999
            Andrea Gottlieb and   
         Hans-Georg Müller   A stickiness coefficient for
                                  longitudinal data  . . . . . . . . . . . 4000--4010
            N. Balakrishnan and   
                 Debanjan Mitra   Left truncated and right censored
                                  Weibull data and likelihood inference
                                  with an illustration . . . . . . . . . . 4011--4025
                   Wei Shao and   
                      Yijun Zuo   Simulated annealing for higher
                                  dimensional projection depth . . . . . . 4026--4036
                Zhaosong Lu and   
              Ting Kei Pong and   
                     Yong Zhang   An alternating direction method for
                                  finding Dantzig selectors  . . . . . . . 4037--4046
              Eisa Mahmoudi and   
               Ali Akbar Jafari   Generalized exponential--power series
                                  distributions  . . . . . . . . . . . . . 4047--4066
       Francesco Bartolucci and   
              Luisa Scaccia and   
              Alessio Farcomeni   Bayesian inference through encompassing
                                  priors and importance sampling for a
                                  class of marginal models for categorical
                                  data . . . . . . . . . . . . . . . . . . 4067--4080
               Julia Schaumburg   Predicting extreme value at risk:
                                  Nonparametric quantile regression with
                                  refinements from extreme value theory    4081--4096
                 Hwan Chung and   
               Hsiu-Ching Chang   Bayesian approaches to the model
                                  selection problem in the analysis of
                                  latent stage-sequential process  . . . . 4097--4110
           Byran J. Smucker and   
       Enrique del Castillo and   
           James L. Rosenberger   Model-robust designs for split-plot
                                  experiments  . . . . . . . . . . . . . . 4111--4121
             A. F. Berlinet and   
                     Ch. Roland   Acceleration of the EM algorithm: P-EM
                                  versus epsilon algorithm . . . . . . . . 4122--4137
     Félix Almendra-Arao   Efficient calculation of test sizes for
                                  non-inferiority  . . . . . . . . . . . . 4138--4145
              Zhaoping Hong and   
                      Heng Lian   BOPA: a Bayesian hierarchical model for
                                  outlier expression detection . . . . . . 4146--4156
           Koon Shing Kwong and   
                Siu Hung Cheung   Optimal design for $p$-value consistent
                                  step-up procedures for multiple
                                  comparisons with a control in
                                  direction-mixed families . . . . . . . . 4157--4164
          Jianqiang C. Wang and   
                 Scott H. Holan   Bayesian multi-regime smooth transition
                                  regression with ordered categorical
                                  variables  . . . . . . . . . . . . . . . 4165--4179
            Christopher Cox and   
                     Xiuhong Li   Model-based estimation of the
                                  attributable risk: a loglinear approach  4180--4189
              Xin-Yuan Song and   
            Nian-Sheng Tang and   
                   Sy-Miin Chow   A Bayesian approach for generalized
                                  random coefficient structural equation
                                  models for longitudinal data with
                                  adjacent time effects  . . . . . . . . . 4190--4203
                 Ai-Ping Li and   
                 Feng-Chang Xie   Diagnostics for a class of survival
                                  regression models with heavy-tailed
                                  errors . . . . . . . . . . . . . . . . . 4204--4214
        Ioannis Andrianakis and   
             Peter G. Challenor   The effect of the nugget on Gaussian
                                  process emulators of computer models . . 4215--4228
                 Hai-Yan Xu and   
                    Min Xie and   
             Thong Ngee Goh and   
                       Xiuju Fu   A model for integer-valued time series
                                  with conditional overdispersion  . . . . 4229--4242
        Myrsini Katsikatsou and   
             Irini Moustaki and   
         Fan Yang-Wallentin and   
          Karl G. Jöreskog   Pairwise likelihood estimation for
                                  factor analysis models with ordinal data 4243--4258
                 Mahmoud Torabi   Likelihood inference in generalized
                                  linear mixed models with two components
                                  of dispersion using data cloning . . . . 4259--4265
                Ping-Hung Hsieh   Tales from the tail: Robust estimation
                                  of moments of environmental data with
                                  one-sided detection limits . . . . . . . 4266--4277
                Wenpo Huang and   
                Lianjie Shu and   
                      Wei Jiang   Evaluation of exponentially weighted
                                  moving variance control chart subject to
                                  linear drifts  . . . . . . . . . . . . . 4278--4289
               Jianhua Zhao and   
            Philip L. H. Yu and   
                    Lei Shi and   
                      Shulan Li   Separable linear discriminant analysis   4290--4300
              Adam W. Grace and   
                    Ian A. Wood   Approximating the tail of the
                                  Anderson--Darling distribution . . . . . 4301--4311
                  Haifen Li and   
               Jiajia Zhang and   
                    Yincai Tang   Induced smoothing for the semiparametric
                                  accelerated hazards model  . . . . . . . 4312--4319
                 Bing Xing Wang   Generalized interval estimation for the
                                  Birnbaum--Saunders distribution  . . . . 4320--4326
            C. J. Potgieter and   
                     F. Lombard   Nonparametric estimation of location and
                                  scale parameters . . . . . . . . . . . . 4327--4337
             Luis M. Castro and   
Héctor W. Gómez and   
               Maria Valenzuela   Epsilon half-normal model: Properties
                                  and inference  . . . . . . . . . . . . . 4338--4347
            Nian-Sheng Tang and   
                   Xing-De Duan   A semiparametric Bayesian approach to
                                  generalized partial linear mixed models
                                  for longitudinal data  . . . . . . . . . 4348--4365
     Christopher S. Withers and   
             Saralees Nadarajah   Improved confidence regions based on
                                  Edgeworth expansions . . . . . . . . . . 4366--4380
                  John H. Nixon   Investigations into refinements of
                                  Storey's method of multiple hypothesis
                                  testing minimising the FDR, and its
                                  application to test binomial data  . . . 4381--4398
         Caio L. N. Azevedo and   
          Dalton F. Andrade and   
                  Jean-Paul Fox   A Bayesian generalized multiple group
                                  IRT model with model-fit assessment
                                  tools  . . . . . . . . . . . . . . . . . 4399--4412
                Zhensheng Huang   Efficient inferences on the
                                  varying-coefficient single-index model
                                  with empirical likelihood  . . . . . . . 4413--4420
                  Johan Lim and   
                 Kiseop Lee and   
               Donghyeon Yu and   
                 Haiyan Liu and   
                Michael Sherman   Parameter estimation in the spatial
                                  auto-logistic model with working
                                  independent subblocks  . . . . . . . . . 4421--4432
                       L. Doyen   Reliability analysis and joint
                                  assessment of Brown--Proschan preventive
                                  maintenance efficiency and intrinsic
                                  wear-out . . . . . . . . . . . . . . . . 4433--4449
Jean-François Beaumont and   
            Anne-Sophie Charest   Bootstrap variance estimation with
                                  survey data when estimating model
                                  parameters . . . . . . . . . . . . . . . 4450--4461
             Murat O. Ahmed and   
               Guenther Walther   Investigating the multimodality of
                                  multivariate data with principal curves  4462--4469
           Kenichi Kanatani and   
              Hirotaka Niitsuma   Optimal computation of $3$-D similarity:
                                  Gauss--Newton vs. Gauss--Helmert . . . . 4470--4483


Computational Statistics & Data Analysis
Volume 57, Number 1, January, 2013

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Editorial Board  . . . . . . . . . . . . vi--ix
             Chew-Seng Chee and   
                      Yong Wang   Minimum quadratic distance density
                                  estimation using nonparametric mixtures  1--16
   Asis Kumar Chattopadhyay and   
           Saptarshi Mondal and   
           Tanuka Chattopadhyay   Independent Component Analysis for the
                                  objective classification of globular
                                  clusters of the galaxy NGC 5128  . . . . 17--32
               Xingqiu Zhao and   
               Xingwei Tong and   
                    Jianguo Sun   Robust estimation for panel count data
                                  with informative observation times . . . 33--40
                Yongdai Kim and   
              Joungyoun Kim and   
                  Woncheol Jang   An EM algorithm for the proportional
                                  hazards model with doubly censored data  41--51
             Mahdi Teimouri and   
             Saralees Nadarajah   On simulating Balakrishnan skew-normal
                                  variates . . . . . . . . . . . . . . . . 52--58
                   Sangyeol Lee   A maximum entropy type test of fit:
                                  Composite hypothesis case  . . . . . . . 59--67
    Larissa Santana Barreto and   
  Audrey H. M. A. Cysneiros and   
         Francisco Cribari-Neto   Improved Birnbaum--Saunders inference
                                  under type II censoring  . . . . . . . . 68--81
            Jason H. Stover and   
                 Matthew C. Ulm   Hyperparameter estimation and plug-in
                                  kernel density estimates for maximum a
                                  posteriori land-cover classification
                                  with multiband satellite data  . . . . . 82--94
     Joaquín Pacheco and   
              Silvia Casado and   
                Santiago Porras   Exact methods for variable selection in
                                  principal component analysis: Guide
                                  functions and pre-selection  . . . . . . 95--111
           Peter X.-K. Song and   
          R. Keith Freeland and   
               Atanu Biswas and   
                   Shulin Zhang   Statistical analysis of discrete-valued
                                  time series using categorical ARMA
                                  models . . . . . . . . . . . . . . . . . 112--124
               Byungsoo Kim and   
                   Sangyeol Lee   Robust estimation for the covariance
                                  matrix of multivariate time series based
                                  on normal mixtures . . . . . . . . . . . 125--140
                     W. Liu and   
                 P. Ah-Kine and   
                   F. Bretz and   
                   A. J. Hayter   Exact simultaneous confidence intervals
                                  for a finite set of contrasts of three,
                                  four or five generally correlated normal
                                  means  . . . . . . . . . . . . . . . . . 141--148
              Azizur Rahman and   
                Ann Harding and   
              Robert Tanton and   
                  Shuangzhe Liu   Simulating the characteristics of
                                  populations at the small area level: New
                                  validation techniques for a spatial
                                  microsimulation model in Australia . . . 149--165
            N. Balakrishnan and   
                  Debasis Kundu   Hybrid censoring: Models, inferential
                                  results and applications . . . . . . . . 166--209
            Chyong-Mei Chen and   
             Tai-Fang C. Lu and   
                   Chao-Min Hsu   Association estimation for clustered
                                  failure time data with a cure fraction   210--222
                   Tao Wang and   
                     Lixing Zhu   Sparse sufficient dimension reduction
                                  using optimal scoring  . . . . . . . . . 223--232
           Mehreteab Aregay and   
                 Ziv Shkedy and   
              Geert Molenberghs   A hierarchical Bayesian approach for the
                                  analysis of longitudinal count data with
                                  overdispersion: a simulation study . . . 233--245
                Guogen Shan and   
               Changxing Ma and   
             Alan D. Hutson and   
             Gregory E. Wilding   Some tests for detecting trends based on
                                  the modified Baumgartner--Weiß--Schindler
                                  statistics . . . . . . . . . . . . . . . 246--261
                 Zhenyu Liu and   
              Reza Modarres and   
                    Mengta Yang   A multivariate control quantile test
                                  using data depth . . . . . . . . . . . . 262--270
              Debasis Kundu and   
                 Arjun K. Gupta   Bayes estimation for the Marshall--Olkin
                                  bivariate Weibull distribution . . . . . 271--281
             Tian Siva Tian and   
                Gareth M. James   Interpretable dimension reduction for
                                  classifying functional data  . . . . . . 282--296
                 Heung Wong and   
               Riquan Zhang and   
          Bartholomew Leung and   
                Zhensheng Huang   Testing the significance of index
                                  parameters in varying-coefficient
                                  single-index models  . . . . . . . . . . 297--308
              Li-Ching Chen and   
                   Jiun-Yi Wang   Testing the fit of the logistic model
                                  for matched case-control studies . . . . 309--319
    Christopher C. Drovandi and   
            James M. McGree and   
             Anthony N. Pettitt   Sequential Monte Carlo for Bayesian
                                  sequentially designed experiments for
                                  discrete data  . . . . . . . . . . . . . 320--335
              Cheolwoo Park and   
                        Jib Huh   Statistical inference and visualization
                                  in scale-space using local likelihood    336--348
              C. Bruffaerts and   
                 B. De Rock and   
                       C. Dehon   The robustness of the hyperbolic
                                  efficiency estimator . . . . . . . . . . 349--363
        Ivana Horová and   
       Jan Kolá\vcek and   
         Kamila Vopatová   Full bandwidth matrix selectors for
                                  gradient kernel density estimate . . . . 364--376
                 Vera Hofer and   
                   Georg Krempl   Drift mining in data: a framework for
                                  addressing drift in classification . . . 377--391
                 Jianmin Wu and   
               Peter M. Bentler   Limited information estimation in binary
                                  factor analysis: a review and extension  392--403
     Norbert Reményi and   
                Brani Vidakovic   $ \Lambda $-neighborhood wavelet
                                  shrinkage  . . . . . . . . . . . . . . . 404--416
            Melvin M. Varughese   Parameter estimation for multivariate
                                  diffusion systems  . . . . . . . . . . . 417--428
          Benjamin T. Rolfs and   
                Bala Rajaratnam   A note on the lack of symmetry in the
                                  graphical lasso  . . . . . . . . . . . . 429--434
                Yanlin Tang and   
           Huixia Judy Wang and   
                    Zhongyi Zhu   Variable selection in quantile varying
                                  coefficient models with longitudinal
                                  data . . . . . . . . . . . . . . . . . . 435--449
           Larissa A. Matos and   
           Victor H. Lachos and   
            N. Balakrishnan and   
               Filidor V. Labra   Influence diagnostics in linear and
                                  nonlinear mixed-effects models with
                                  censored data  . . . . . . . . . . . . . 450--464
                   Wei Shao and   
               Guangbao Guo and   
                 Fanyu Meng and   
                     Shuqin Jia   An efficient proposal distribution for
                                  Metropolis--Hastings using a B-splines
                                  technique  . . . . . . . . . . . . . . . 465--478
                    Zeng-Hua Lu   Halfline tests for multivariate
                                  one-sided alternatives . . . . . . . . . 479--490
               Xiaolin Chen and   
                     Qihua Wang   Variable selection in the additive rate
                                  model for recurrent event data . . . . . 491--503
              Brian L. Mark and   
                  Yariv Ephraim   An EM algorithm for continuous-time
                                  bivariate Markov chains  . . . . . . . . 504--517
 M. Fátima Brilhante and   
            M. Ivette Gomes and   
                  Dinis Pestana   A simple generalisation of the Hill
                                  estimator  . . . . . . . . . . . . . . . 518--535
                  M. Aquaro and   
                   P. \vCi\vzek   One-step robust estimation of
                                  fixed-effects panel data models  . . . . 536--548
                 Mahmoud Torabi   Likelihood inference in generalized
                                  linear mixed measurement error models    549--557
                 Hohsuk Noh and   
           Anouar El Ghouch and   
            Ingrid Van Keilegom   Assessing model adequacy in possibly
                                  misspecified quantile regression . . . . 558--569
          Amy Ming-Fang Yen and   
                  Hsiu-Hsi Chen   Stochastic models for multiple pathways
                                  of temporal natural history on
                                  co-morbidity of chronic disease  . . . . 570--588
                 Heung Wong and   
                Quanxi Shao and   
                  Wai-cheung Ip   Modeling respiratory illnesses with
                                  change point: a lesson from the SARS
                                  epidemic in Hong Kong  . . . . . . . . . 589--599
               Ryan Janicki and   
                   Donald Malec   A Bayesian model averaging approach to
                                  analyzing categorical data with
                                  nonignorable nonresponse . . . . . . . . 600--614
                Huazhen Lin and   
                      Heng Peng   Smoothed rank correlation of the linear
                                  transformation regression model  . . . . 615--630
           Abdallah Mkhadri and   
              Mohamed Ouhourane   An extended variable inclusion and
                                  shrinkage algorithm for correlated
                                  variables  . . . . . . . . . . . . . . . 631--644
                Junfeng Liu and   
                        Yi Wang   On Crevecoeur's bathtub-shaped failure
                                  rate model . . . . . . . . . . . . . . . 645--660
   Michael Salter-Townshend and   
          Thomas Brendan Murphy   Variational Bayesian inference for the
                                  Latent Position Cluster Model for
                                  network data . . . . . . . . . . . . . . 661--671
          Claudia Redenbach and   
          Aila Särkkä   Parameter estimation for growth
                                  interaction processes using
                                  spatio-temporal information  . . . . . . 672--683


Computational Statistics & Data Analysis
Volume 58, Number ??, February, 2013

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi--viii
      D. Stephen G. Pollock and   
           Tommaso Proietti and   
                Esther Ruiz and   
                 Howard Weinert   The third special issue on Statistical
                                  Signal Extraction and Filtering  . . . . 1--3
            Michael A. Thornton   Removing seasonality under a changing
                                  regime: Filtering new car sales  . . . . 4--14
                       Junye Li   An unscented Kalman smoother for
                                  volatility extraction: Evidence from
                                  stock prices and options . . . . . . . . 15--26
                  Ting Wang and   
                Mark Bebbington   Identifying anomalous signals in GPS
                                  data using HMMs: an increased likelihood
                                  of earthquakes?  . . . . . . . . . . . . 27--44
             Julien Gazeaux and   
            Deborah Batista and   
           Caspar M. Ammann and   
            Philippe Naveau and   
       Cyrille Jégat and   
                   Chaochao Gao   Extracting common pulse-like signals
                                  from multiple ice core time series . . . 45--57
                   Raquel Prado   Sequential estimation of mixtures of
                                  structured autoregressive models . . . . 58--70
   Pepa Ramírez-Cobo and   
                Brani Vidakovic   A $2$D wavelet-based multiscale approach
                                  with applications to the analysis of
                                  digital mammograms . . . . . . . . . . . 71--81
                K. D. Zamba and   
     Panagiotis Tsiamyrtzis and   
             Douglas M. Hawkins   A three-state recursive sequential
                                  Bayesian algorithm for biosurveillance   82--97
              D. S. Poskitt and   
      Arivalzahan Sengarapillai   Description length and dimensionality
                                  reduction in functional data analysis    98--113
          Azadeh Moghtaderi and   
           Patrick Flandrin and   
                 Pierre Borgnat   Trend filtering via empirical mode
                                  decompositions . . . . . . . . . . . . . 114--126
                 Marco Frei and   
            Hans R. Künsch   Mixture ensemble Kalman filters  . . . . 127--138
Jesús Navarro-Moreno and   
       Javier Moreno-Kaiser and   
Rosa María Fernández-Alcalá and   
        Juan Carlos Ruiz-Molina   Widely linear prediction for transfer
                                  function models based on the infinite
                                  past . . . . . . . . . . . . . . . . . . 139--146
              Swagata Nandi and   
              Debasis Kundu and   
        Rajesh Kumar Srivastava   Noise space decomposition method for
                                  two-dimensional sinusoidal model . . . . 147--161
       Christophe Biernacki and   
                 Julien Jacques   A generative model for rank data based
                                  on insertion sort algorithm  . . . . . . 162--176
                   Jongphil Kim   The computation of bivariate normal and
                                  $t$ probabilities, with application to
                                  comparisons of three normal means  . . . 177--186
            Kjartan Rimstad and   
                   Henning Omre   Approximate posterior distributions for
                                  convolutional two-level hidden Markov
                                  models . . . . . . . . . . . . . . . . . 187--200
                     Yanqing Yi   Exact statistical power for response
                                  adaptive designs . . . . . . . . . . . . 201--209
           Hideki Nagatsuka and   
         Toshinari Kamakura and   
                N. Balakrishnan   A consistent method of estimation for
                                  the three-parameter Weibull distribution 210--226
                      J. Su and   
              A. Srivastava and   
                   F. W. Huffer   Detection, classification and estimation
                                  of individual shapes in $2$D and $3$D
                                  point clouds . . . . . . . . . . . . . . 227--241
          Mauricio Zevallos and   
                 Wilfredo Palma   Minimum distance estimation of ARFIMA
                                  processes  . . . . . . . . . . . . . . . 242--256
                     Fei Ye and   
                   Chen Yue and   
                      Ying Yang   Modeling time-dependent overdispersion
                                  in longitudinal count data . . . . . . . 257--264
            Frank Schaarschmidt   Simultaneous confidence intervals for
                                  multiple comparisons among expected
                                  values of log-normal variables . . . . . 265--275
             Seung Won Hyun and   
                   Min Yang and   
                 Nancy Flournoy   A procedure for finding an improved
                                  upper bound on the number of optimal
                                  design points  . . . . . . . . . . . . . 276--282
                 Song Zhang and   
                       Chul Ahn   Sample size calculation for comparing
                                  time-averaged responses in $k$-group
                                  repeated-measurement studies . . . . . . 283--291
             A. Chakraborty and   
             M. A. Beamonte and   
              A. E. Gelfand and   
               M. P. Alonso and   
                P. Gargallo and   
                    M. Salvador   Spatial interaction models with
                                  individual-level data for explaining
                                  labor flows and developing local labor
                                  markets  . . . . . . . . . . . . . . . . 292--307
          Yolanda Marhuenda and   
              Isabel Molina and   
                Domingo Morales   Small area estimation with
                                  spatio-temporal Fay--Herriot models  . . 308--325
            Ricardo Fraiman and   
                  Marcela Svarc   Resistant estimates for high dimensional
                                  and functional data based on random
                                  projections  . . . . . . . . . . . . . . 326--338
                    Feng Yi and   
                        Hui Zou   SURE-tuned tapering estimation of large
                                  covariance matrices  . . . . . . . . . . 339--351
           Rodrigo B. Silva and   
        Marcelo Bourguignon and   
   Cícero R. B. Dias and   
              Gauss M. Cordeiro   The compound class of extended Weibull
                                  power series distributions . . . . . . . 352--367
M. Luz Gámiz Pérez and   
María Dolores Martínez Miranda and   
             Jens Perch Nielsen   Smoothing survival densities in practice 368--382
                 Ani Eloyan and   
                 Sujit K. Ghosh   A semiparametric approach to source
                                  separation using independent component
                                  analysis . . . . . . . . . . . . . . . . 383--396
                   Hisham Hilow   Comparison among run order algorithms
                                  for sequential factorial experiments . . 397--406
           Riccardo Borgoni and   
             Luigi Radaelli and   
             Valeria Tritto and   
                    Diego Zappa   Optimal reduction of a spatial
                                  monitoring grid: Proposals and
                                  applications in process control  . . . . 407--419


Computational Statistics & Data Analysis
Volume 59, Number ??, March, 2013

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Editorial Board  . . . . . . . . . . . . vi--vii
                 Ida Hertel and   
                 Michael Kohler   Estimation of the optimal design of a
                                  nonlinear parametric regression problem
                                  via Monte Carlo experiments  . . . . . . 1--12
             Andrew T. Karl and   
                   Yan Yang and   
                 Sharon L. Lohr   Efficient maximum likelihood estimation
                                  of multiple membership linear mixed
                                  models, with an application to
                                  educational value-added assessments  . . 13--27
                 Kei Hirose and   
            Shohei Tateishi and   
               Sadanori Konishi   Tuning parameter selection in sparse
                                  regression modeling  . . . . . . . . . . 28--40
                      Yili Hong   On computing the distribution function
                                  for the Poisson binomial distribution    41--51
           J. Dißmann and   
            E. C. Brechmann and   
                   C. Czado and   
                   D. Kurowicka   Selecting and estimating regular vine
                                  copulae and application to financial
                                  returns  . . . . . . . . . . . . . . . . 52--69
             Mayukh Samanta and   
                    A. H. Welsh   Bootstrapping for highly unbalanced
                                  clustered data . . . . . . . . . . . . . 70--81
         Oleksandr Gromenko and   
                 Piotr Kokoszka   Nonparametric inference in small data
                                  sets of spatially indexed curves with
                                  application to ionospheric trend
                                  determination  . . . . . . . . . . . . . 82--94
               Jiajia Zhang and   
               Yingwei Peng and   
                      Haifen Li   A new semiparametric estimation method
                                  for accelerated hazards mixture cure
                                  model  . . . . . . . . . . . . . . . . . 95--102
                  Jun Zhang and   
                  Yujie Gai and   
                        Ping Wu   Estimation in linear regression models
                                  with measurement errors subject to
                                  single-indexed distortion  . . . . . . . 103--120
            Zhensheng Huang and   
                  Zhen Pang and   
                         Tao Hu   Testing structural change in partially
                                  linear single-index models with
                                  error-prone linear covariates  . . . . . 121--133
                Junhui Wang and   
                     Yixin Fang   Analysis of presence-only data via
                                  semi-supervised learning approaches  . . 134--143
     F. B. Gonçalves and   
                D. Gamerman and   
                   T. M. Soares   Simultaneous multifactor DIF analysis
                                  and detection in Item Response Theory    144--160
          Cristian Villegas and   
          Gilberto A. Paula and   
Francisco José A. Cysneiros and   
                   Manuel Galea   Influence diagnostics in generalized
                                  symmetric linear models  . . . . . . . . 161--170
               Donghwan Lee and   
                Youngjo Lee and   
          Myunghee Cho Paik and   
             Michael G. Kenward   Robust inference using hierarchical
                                  likelihood approach for heavy-tailed
                                  longitudinal outcomes with missing data:
                                  an alternative to inverse probability
                                  weighted generalized estimating
                                  equations  . . . . . . . . . . . . . . . 171--179
            Matthijs J. Warrens   The Cicchetti--Allison weighting matrix
                                  is positive definite . . . . . . . . . . 180--182
                    M. C. Jones   Erratum to: ``On simulating Balakrishnan
                                  skew-normal variates'' by Mahdi Teimouri
                                  and Saralees Nadarajah [Comput. Statist.
                                  Data Anal. \bf 57 (2013) 52--58] . . . . 183--184


Computational Statistics & Data Analysis
Volume 60, Number ??, April, 2013

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Editorial Board  . . . . . . . . . . . . vi--vii
                Xiaohui Liu and   
                  Yijun Zuo and   
                  Zhizhong Wang   Exactly computing bivariate projection
                                  depth contours and median  . . . . . . . 1--11
            Aaron F. McDaid and   
      Thomas Brendan Murphy and   
                 Nial Friel and   
                 Neil J. Hurley   Improved Bayesian inference for the
                                  stochastic block model with application
                                  to large networks  . . . . . . . . . . . 12--31
                   Shen Liu and   
          Elizabeth Ann Maharaj   A hypothesis test using bias-adjusted AR
                                  estimators for classifying time series
                                  in small samples . . . . . . . . . . . . 32--49
             A. Hapfelmeier and   
                         K. Ulm   A new variable selection approach using
                                  Random Forests . . . . . . . . . . . . . 50--69
                   Jae Keun Yoo   Advances in seeded dimension reduction:
                                  Bootstrap criteria and extensions  . . . 70--79
                Xianhui Liu and   
              Zhanfeng Wang and   
                      Yaohua Wu   Group variable selection and estimation
                                  in the Tobit censored response model . . 80--89
              Laura Ventura and   
             Nicola Sartori and   
                 Walter Racugno   Objective Bayesian higher-order
                                  asymptotics in models with nuisance
                                  parameters . . . . . . . . . . . . . . . 90--96
             E.-I. Delatola and   
                  J. E. Griffin   A Bayesian semiparametric model for
                                  volatility with a leverage effect  . . . 97--110
                   G. Rauch and   
                      M. Kieser   An expected power approach for the
                                  assessment of composite endpoints and
                                  their components . . . . . . . . . . . . 111--122
               Xingqiu Zhao and   
                   Ran Duan and   
                 Qiang Zhao and   
                    Jianguo Sun   A new class of generalized log rank
                                  tests for interval-censored failure time
                                  data . . . . . . . . . . . . . . . . . . 123--131
            Chia-Cheng Chen and   
             Huiman X. Barnhart   Assessing agreement with intraclass
                                  correlation coefficient and concordance
                                  correlation coefficient for data with
                                  repeated measures  . . . . . . . . . . . 132--145
               Edna A. Reis and   
              Dani Gamerman and   
             Marina S. Paez and   
              Thiago G. Martins   Bayesian dynamic models for space--time
                                  point processes  . . . . . . . . . . . . 146--156
                 Jesse Frey and   
                        Le Wang   Most powerful rank tests for perfect
                                  rankings . . . . . . . . . . . . . . . . 157--168
              Moonseong Heo and   
                Xiaonan Xue and   
                    Mimi Y. Kim   Sample size requirements to detect an
                                  intervention by time interaction in
                                  longitudinal cluster randomized clinical
                                  trials with random slopes  . . . . . . . 169--178


Computational Statistics & Data Analysis
Volume 61, Number ??, May, 2013

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Editorial Board  . . . . . . . . . . . . vi--vii
                 Chris J. Lloyd   A numerical investigation of the
                                  accuracy of parametric bootstrap for
                                  discrete data  . . . . . . . . . . . . . 1--6
                David Bolin and   
                  Finn Lindgren   A comparison between Markov
                                  approximations and other methods for
                                  large spatial data sets  . . . . . . . . 7--21
                Dae-Jin Lee and   
 María Durbán and   
                    Paul Eilers   Efficient two-dimensional smoothing with
                                  $P$-spline ANOVA mixed models and nested
                                  bases  . . . . . . . . . . . . . . . . . 22--37
              Thomas Mathew and   
                 Derek S. Young   Fiducial-based tolerance intervals for
                                  some discrete distributions  . . . . . . 38--49
            J. Derek Tucker and   
                     Wei Wu and   
                Anuj Srivastava   Generative models for functional data
                                  using phase and amplitude separation . . 50--66
              Hwa Kyung Lim and   
                 Juwon Song and   
              Byoung Cheol Jung   Score tests for zero-inflation and
                                  overdispersion in two-level count data   67--82
               J. P. Brooks and   
          J. H. Dulá and   
                    E. L. Boone   A pure $ L_1 $-norm principal component
                                  analysis . . . . . . . . . . . . . . . . 83--98
          Edward J. Bedrick and   
                  Anwar Hossain   Conditional tests for homogeneity of
                                  zero-inflated Poisson and Poisson-hurdle
                                  distributions  . . . . . . . . . . . . . 99--106
                 C. Moreira and   
                I. Van Keilegom   Bandwidth selection for kernel density
                                  estimation with doubly truncated data    107--123
             Heinrich Fritz and   
Luis A. García-Escudero and   
      Agustín Mayo-Iscar   A fast algorithm for robust constrained
                                  clustering . . . . . . . . . . . . . . . 124--136
Jorge I. Figueroa-Zúñiga and   
 Reinaldo B. Arellano-Valle and   
           Silvia L. P. Ferrari   Mixed beta regression: a Bayesian
                                  perspective  . . . . . . . . . . . . . . 137--147
 A. J. Sáez-Castillo and   
        A. Conde-Sánchez   A hyper-Poisson regression model for
                                  overdispersed and underdispersed count
                                  data . . . . . . . . . . . . . . . . . . 148--157
            Giampiero Marra and   
                 Rosalba Radice   Estimation of a regression spline sample
                                  selection model  . . . . . . . . . . . . 158--173
                 Gaorong Li and   
                  Heng Lian and   
               Sanying Feng and   
                     Lixing Zhu   Automatic variable selection for
                                  longitudinal generalized linear models   174--186
           Isis Didier Lins and   
              Moacyr Araujo and   
Márcio das Chagas Moura and   
  Marcus André Silva and   
  Enrique López Droguett   Prediction of sea surface temperature in
                                  the tropical Atlantic by support vector
                                  machines . . . . . . . . . . . . . . . . 187--198
      Félix Belzunce and   
Carolina Martínez-Riquelme and   
            José M. Ruiz   On sufficient conditions for mean
                                  residual life and related orders . . . . 199--210


Computational Statistics & Data Analysis
Volume 62, Number ??, June, 2013

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Editorial Board  . . . . . . . . . . . . vi--vii
         Volodymyr Melnykov and   
                      Gang Shen   Clustering through empirical likelihood
                                  ratio  . . . . . . . . . . . . . . . . . 1--10
     Arturo J. Fernández   Smallest Pareto confidence regions and
                                  applications . . . . . . . . . . . . . . 11--25
                 Seokho Lee and   
               Jianhua Z. Huang   A coordinate descent MM algorithm for
                                  fast computation of sparse logistic PCA  26--38
                    Le Kang and   
                      Lili Tian   Estimation of the volume under the ROC
                                  surface with three ordinal diagnostic
                                  categories . . . . . . . . . . . . . . . 39--51
         Guillermo Ferreira and   
 Alejandro Rodríguez and   
                 Bernardo Lagos   Kalman filter estimation for a
                                  regression model with locally stationary
                                  errors . . . . . . . . . . . . . . . . . 52--69
            Zhensheng Huang and   
                  Zhen Pang and   
                   Riquan Zhang   Adaptive profile-empirical-likelihood
                                  inferences for generalized single-index
                                  models . . . . . . . . . . . . . . . . . 70--82
            Akim Adekpedjou and   
            Russell Stocker and   
            Withanage A. De Mel   A class of inference procedures for
                                  validating the generalized Koziol--Green
                                  model with recurrent events  . . . . . . 83--92
                  Baiguo An and   
                Jianhua Guo and   
                  Hansheng Wang   Multivariate regression shrinkage and
                                  selection by canonical correlation
                                  analysis . . . . . . . . . . . . . . . . 93--107
                 Ananda Sen and   
             Nandini Kannan and   
                  Debasis Kundu   Bayesian planning and inference of a
                                  progressively censored sample from
                                  linear hazard rate distribution  . . . . 108--121
             Diego Vidaurre and   
              Concha Bielza and   
         Pedro Larrañaga   Sparse regularized local regression  . . 122--135
      Jenny Häggström   Bandwidth selection for backfitting
                                  estimation of semiparametric additive
                                  models: a simulation study . . . . . . . 136--148
               Artur J. Lemonte   A new exponential-type distribution with
                                  constant, decreasing, increasing,
                                  upside-down bathtub and bathtub-shaped
                                  failure rate function  . . . . . . . . . 149--170
             Pengcheng Chen and   
               Jiajia Zhang and   
                   Riquan Zhang   Estimation of the accelerated failure
                                  time frailty model under generalized
                                  gamma frailty  . . . . . . . . . . . . . 171--180
                   Young-Ju Kim   A partial spline approach for
                                  semiparametric estimation of
                                  varying-coefficient partially linear
                                  models . . . . . . . . . . . . . . . . . 181--187


Computational Statistics & Data Analysis
Volume 63, Number ??, July, 2013

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi
          Carolina Marchant and   
              Karine Bertin and   
        Víctor Leiva and   
                   Helton Saulo   Generalized Birnbaum--Saunders kernel
                                  density estimators and an analysis of
                                  financial data . . . . . . . . . . . . . 1--15
             Nikos Pantazis and   
         Michael G. Kenward and   
                 Giota Touloumi   Performance of parametric survival
                                  models under non-random interval
                                  censoring: a simulation study  . . . . . 16--30
                 Masao Ueki and   
             Yoshinori Kawasaki   Multiple choice from competing
                                  regression models under
                                  multicollinearity based on standardized
                                  update . . . . . . . . . . . . . . . . . 31--41
                 Weixin Yao and   
                       Qin Wang   Robust variable selection through MAVE   42--49
           Hyokyoung Grace Hong   A quantile approach to the power
                                  transformed location--scale model  . . . 50--62
          Rabi Bhattacharya and   
                     Lizhen Lin   Recent progress in the nonparametric
                                  estimation of monotone curves --- With
                                  applications to bioassay and
                                  environmental risk assessment  . . . . . 63--80
    Stéphane Derrode and   
            Wojciech Pieczynski   Unsupervised data classification using
                                  pairwise Markov chains with automatic
                                  copulas selection  . . . . . . . . . . . 81--98
                  Heng Lian and   
                  Jianbo Li and   
                        Yuao Hu   Shrinkage variable selection and
                                  estimation in proportional hazards
                                  models with additive structure and high
                                  dimensionality . . . . . . . . . . . . . 99--112
       Gustavo L. Gilardoni and   
   Maristela D. de Oliveira and   
             Enrico A. Colosimo   Nonparametric estimation and bootstrap
                                  confidence intervals for the optimal
                                  maintenance time of a repairable system  113--124
              Brunero Liseo and   
                 Antonio Parisi   Bayesian inference for the multivariate
                                  skew-normal model: a population Monte
                                  Carlo approach . . . . . . . . . . . . . 125--138
             Haileab Hilafu and   
                  Xiangrong Yin   Sufficient dimension reduction in
                                  multivariate regressions with
                                  categorical predictors . . . . . . . . . 139--147
              Chih-Yuan Hsu and   
                   Tiee-Jian Wu   Efficient estimation of the mode of
                                  continuous multivariate data . . . . . . 148--159


Computational Statistics & Data Analysis
Volume 64, Number ??, August, 2013

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi--vii
               Daeyoung Kim and   
               Jong-Min Kim and   
               Shu-Min Liao and   
                 Yoon-Sung Jung   Mixture of $D$-vine copulas for modeling
                                  dependence . . . . . . . . . . . . . . . 1--19
              M. E. Ghitany and   
           D. K. Al-Mutairi and   
            N. Balakrishnan and   
                 L. J. Al-Enezi   Power Lindley distribution and
                                  associated inference . . . . . . . . . . 20--33
               Artur J. Lemonte   A new extended Birnbaum--Saunders
                                  regression model for lifetime modeling   34--50
               Waleed A. Yousef   Assessing classifiers in terms of the
                                  partial area under the ROC curve . . . . 51--70
             Abhijit Mandal and   
             Ayanendranath Basu   Minimum disparity estimation: Improved
                                  efficiency through inlier modification   71--86
       Bernhard Klingenberg and   
        Ville Satopää   Simultaneous confidence intervals for
                                  comparing margins of multivariate binary
                                  data . . . . . . . . . . . . . . . . . . 87--98
   Edgard M. Maboudou-Tchao and   
                 Vincent Agboto   Monitoring the covariance matrix with
                                  fewer observations than variables  . . . 99--112
            Jane L. Harvill and   
         Nalini Ravishanker and   
                  Bonnie K. Ray   Bispectral-based methods for clustering
                                  time series  . . . . . . . . . . . . . . 113--131
         Bernd Fellinghauer and   
        Peter Bühlmann and   
              Martin Ryffel and   
          Michael von Rhein and   
               Jan D. Reinhardt   Stable graphical model estimation with
                                  Random Forests for discrete, continuous,
                                  and mixed variables  . . . . . . . . . . 132--152
  Izabel Cristina Alcantara and   
Francisco José A. Cysneiros   Linear regression models with
                                  slash-elliptical errors  . . . . . . . . 153--164
           Thomas Friedrich and   
                    Guido Knapp   Generalised interval estimation in the
                                  random effects meta regression model . . 165--179
                 Rong Jiang and   
             Zhan-Gong Zhou and   
               Wei-Min Qian and   
                      Yong Chen   Two step composite quantile regression
                                  for single-index models  . . . . . . . . 180--191
              Jung Seek Kim and   
             Brian T. Ratchford   A Bayesian multivariate probit for
                                  ordinal data with semiparametric
                                  random-effects . . . . . . . . . . . . . 192--208
            Rahim Alhamzawi and   
                      Keming Yu   Conjugate priors and variable selection
                                  for Bayesian quantile regression . . . . 209--219
         Vincent Vandewalle and   
       Christophe Biernacki and   
              Gilles Celeux and   
          Gérard Govaert   A predictive deviance criterion for
                                  selecting a generative model in
                                  semi-supervised classification . . . . . 220--236
           Victor H. Lachos and   
             Luis M. Castro and   
                   Dipak K. Dey   Bayesian inference in nonlinear
                                  mixed-effects models using normal
                                  independent distributions  . . . . . . . 237--252
                Adam Petrie and   
            Thomas R. Willemain   An empirical study of tests for
                                  uniformity in multidimensional data  . . 253--268
                 Chang Ding and   
              Siu-keung Tse and   
                   Ronghai Yang   Statistical inference on survival data
                                  in group-parallel clinical trials with
                                  treatment switching  . . . . . . . . . . 269--280
                M. Korze\'n and   
             S. Jaroszewicz and   
                     P. Kl\kesk   Logistic regression with weight grouping
                                  priors . . . . . . . . . . . . . . . . . 281--298
                 Qiang Guan and   
                Yincai Tang and   
                       Ancha Xu   Objective Bayesian analysis for
                                  bivariate Marshall--Olkin exponential
                                  distribution . . . . . . . . . . . . . . 299--313


Computational Statistics & Data Analysis
Volume 65, Number ??, September, 2013

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi
           Christophe Croux and   
          Elvezio Ronchetti and   
Matías Salibián-Barrera and   
               Stefan Van Aelst   Special issue on robust analysis of
                                  complex data . . . . . . . . . . . . . . 1--3
                    B. Wang and   
                  W. Wertelecki   Density estimation for data with
                                  rounding errors  . . . . . . . . . . . . 4--12
                 Mia Hubert and   
            Goedele Dierckx and   
                 Dina Vanpaemel   Detecting influential data points for
                                  the Hill estimator in Pareto-type
                                  distributions  . . . . . . . . . . . . . 13--28
             Andrea Cerioli and   
          Alessio Farcomeni and   
                    Marco Riani   Robust distances for outlier-free
                                  goodness-of-fit testing  . . . . . . . . 29--45
         Ricardo A. Maronna and   
                Victor J. Yohai   Robust functional linear regression
                                  based on splines . . . . . . . . . . . . 46--55
                    Jie Guo and   
                Manlai Tang and   
                Maozai Tian and   
                        Kai Zhu   Variable selection in high-dimensional
                                  partially linear additive models for
                                  composite quantile regression  . . . . . 56--67
                 Nora Muler and   
         Víctor J. Yohai   Robust estimation for vector
                                  autoregressive models  . . . . . . . . . 68--79
              Ana M. Bianco and   
            Graciela Boente and   
            Isabel M. Rodrigues   Robust tests in generalized linear
                                  models with missing responses  . . . . . 80--97
               John C. Lind and   
           Douglas P. Wiens and   
                Victor J. Yohai   Robust minimum information loss
                                  estimation . . . . . . . . . . . . . . . 98--112


Computational Statistics & Data Analysis
Volume 66, Number ??, October, 2013

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi--vii
                R. J. Evans and   
                     A. Forcina   Two algorithms for fitting constrained
                                  marginal models  . . . . . . . . . . . . 1--7
                    Simen Gaure   OLS with multiple high dimensional
                                  category variables . . . . . . . . . . . 8--18
           Adrian W. Bowman and   
              Rosa M. Crujeiras   Inference for variograms . . . . . . . . 19--31
              Shu-Hui Hsieh and   
              Chin-Shang Li and   
                  Shen-Ming Lee   Logistic regression with outcome and
                                  covariates missing separately or
                                  simultaneously . . . . . . . . . . . . . 32--54
         François Bachoc   Cross Validation and Maximum Likelihood
                                  estimations of hyper-parameters of
                                  Gaussian processes with model
                                  misspecification . . . . . . . . . . . . 55--69
              Morteza Amini and   
                N. Balakrishnan   Nonparametric meta-analysis of
                                  independent samples of records . . . . . 70--81
                      Yijun Zuo   Multidimensional medians and uniqueness  82--88
                 Seokho Lee and   
                Hyejin Shin and   
                  Nedret Billor   $M$-type smoothing spline estimators for
                                  principal functions  . . . . . . . . . . 89--100
                   Hui Zhao and   
               Pu-Ying Zhao and   
                Nian-Sheng Tang   Empirical likelihood inference for mean
                                  functionals with nonignorably missing
                                  response data  . . . . . . . . . . . . . 101--116
  Jérôme Morio and   
          Damien Jacquemart and   
          Mathieu Balesdent and   
                  Julien Marzat   Optimisation of interacting particle
                                  systems for rare event estimation  . . . 117--128
                Huazhen Lin and   
                      Yi Li and   
                    Ming T. Tan   Estimating a unitary effect summary
                                  based on combined survival and
                                  quantitative outcomes  . . . . . . . . . 129--139
                 Cheng Wang and   
               Longbing Cao and   
                     Baiqi Miao   Optimal feature selection for sparse
                                  linear discriminant analysis and its
                                  applications in gene expression data . . 140--149
             Xiaoguang Wang and   
                   Dawei Lu and   
                     Lixin Song   Statistical inference for partially
                                  linear stochastic models with
                                  heteroscedastic errors . . . . . . . . . 150--160
          Ioannis Ntzoufras and   
              Claudia Tarantola   Conjugate and conditional conjugate
                                  Bayesian analysis of discrete graphical
                                  models of marginal independence  . . . . 161--177
                Donghui Yan and   
                 Aiyou Chen and   
              Michael I. Jordan   Cluster Forests  . . . . . . . . . . . . 178--192
                   Peter Wittek   Two-way incremental seriation in the
                                  temporal domain with three-dimensional
                                  visualization: Making sense of evolving
                                  high-dimensional datasets  . . . . . . . 193--201
         Karin Ayumi Tamura and   
              Viviana Giampaoli   New prediction method for the mixed
                                  logistic model applied in a marketing
                                  problem  . . . . . . . . . . . . . . . . 202--216


Computational Statistics & Data Analysis
Volume 67, Number ??, November, 2013

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi--vii
P. C. Álvarez-Esteban and   
              E. del Barrio and   
      J. A. Cuesta-Albertos and   
               C. Matrán   Searching for a common pooling pattern
                                  among several samples  . . . . . . . . . 1--14
               Laine Thomas and   
       Leonard A. Stefanski and   
                 Marie Davidian   Moment adjusted imputation for
                                  multivariate measurement error data with
                                  applications to logistic regression  . . 15--24
                    Hao Jin and   
               Jinsuo Zhang and   
                   Si Zhang and   
                        Cong Yu   The spurious regression of $ {\rm AR}(p)
                                  $ infinite-variance sequence in the
                                  presence of structural breaks  . . . . . 25--40
            N. Balakrishnan and   
                      Suvra Pal   Lognormal lifetimes and likelihood-based
                                  inference for flexible cure rate models
                                  based on COM-Poisson family  . . . . . . 41--67
          Thiago G. Martins and   
             Daniel Simpson and   
              Finn Lindgren and   
               Håvard Rue   Bayesian computing with INLA: New
                                  features . . . . . . . . . . . . . . . . 68--83
         Veronica Vinciotti and   
                 Hussein Hashem   Robust methods for inferring sparse
                                  network structures . . . . . . . . . . . 84--94
      Christopher T. Franck and   
          Dahlia M. Nielsen and   
               Jason A. Osborne   A method for detecting hidden additivity
                                  in two-factor unreplicated experiments   95--104
              Hideitsu Hino and   
             Keigo Wakayama and   
                  Noboru Murata   Entropy-based sliced inverse regression  105--114
                    Yin Liu and   
                 Guo-Liang Tian   A variant of the parallel model for
                                  sample surveys with sensitive
                                  characteristics  . . . . . . . . . . . . 115--135
                   Wei Guan and   
                 Alexander Gray   Sparse high-dimensional fractional-norm
                                  support vector machine via DC
                                  programming  . . . . . . . . . . . . . . 136--148
              Jingjing Yang and   
                 David W. Scott   Robust fitting of a Weibull model with
                                  optional censoring . . . . . . . . . . . 149--161
                     Lu Lin and   
                   Jing Sun and   
                     Lixing Zhu   Nonparametric feature screening  . . . . 162--174
       O. A. Vsevolozhskaya and   
            M. C. Greenwood and   
             G. J. Bellante and   
               S. L. Powell and   
             R. L. Lawrence and   
                  K. S. Repasky   Combining functions and the closure
                                  principle for performing follow-up tests
                                  in functional analysis of variance . . . 175--184
                  Han Lin Shang   Bayesian bandwidth estimation for a
                                  nonparametric functional regression
                                  model with unknown error density . . . . 185--198
              Shulian Shang and   
               Mengling Liu and   
   Anne Zeleniuch-Jacquotte and   
          Tess V. Clendenen and   
             Vittorio Krogh and   
             Goran Hallmans and   
                      Wenbin Lu   Partially linear single index Cox
                                  regression model in nested case-control
                                  studies  . . . . . . . . . . . . . . . . 199--212
              Xanthi Pedeli and   
                Dimitris Karlis   Some properties of multivariate INAR(1)
                                  processes  . . . . . . . . . . . . . . . 213--225
      Nuttanan Wichitaksorn and   
                 Hiroki Tsurumi   Comparison of MCMC algorithms for the
                                  estimation of Tobit model with
                                  non-normal error: the case of asymmetric
                                  Laplace distribution . . . . . . . . . . 226--235
               G. H. Givens and   
            J. R. Beveridge and   
             P. J. Phillips and   
                  B. Draper and   
                  Y. M. Lui and   
                       D. Bolme   Introduction to face recognition and
                                  evaluation of algorithm performance  . . 236--247
                Jixian Wang and   
                 George Quartey   A semi-parametric approach to analysis
                                  of event duration and prevalence . . . . 248--257
                Thomas Fung and   
          Joanna J. J. Wang and   
                  Eugene Seneta   Contaminated Variance--Mean mixing model 258--267
        Manoj Kumar Rastogi and   
           Yogesh Mani Tripathi   Estimation using hybrid censored data
                                  from a two-parameter distribution with
                                  bathtub shape  . . . . . . . . . . . . . 268--281
        Cécile Durot and   
                Sylvie Huet and   
    François Koladjo and   
          Stéphane Robin   Least-squares estimation of a convex
                                  discrete distribution  . . . . . . . . . 282--298


Computational Statistics & Data Analysis
Volume 68, Number ??, December, 2013

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi--vii
                Peter Exterkate   Model selection in kernel ridge
                                  regression . . . . . . . . . . . . . . . 1--16
      Alexander P. Koldanov and   
           Petr A. Koldanov and   
        Valeriy A. Kalyagin and   
              Panos M. Pardalos   Statistical procedures for the market
                                  graph construction . . . . . . . . . . . 17--29
             Andrew Simpkin and   
                    John Newell   An additive penalty $P$-Spline approach
                                  to derivative estimation . . . . . . . . 30--43
              Gilberto A. Paula   On diagnostics in double generalized
                                  linear models  . . . . . . . . . . . . . 44--51
                Eric J. Beh and   
                   Duy Tran and   
                Irene L. Hudson   A reformulation of the aggregate
                                  association index using the odds ratio   52--65
                Haocheng Li and   
                    Grace Y. Yi   A pairwise likelihood approach for
                                  longitudinal data with missing
                                  observations in both response and
                                  covariates . . . . . . . . . . . . . . . 66--81
                     Liugen Xue   Estimation and empirical likelihood for
                                  single-index models with missing data in
                                  the covariates . . . . . . . . . . . . . 82--97
          Francis K. C. Hui and   
                   Gery Geenens   A nonparametric measure of local
                                  association for two-way contingency
                                  tables . . . . . . . . . . . . . . . . . 98--110
                    Ji Chen and   
                Pengfei Liu and   
                   Xinyuan Song   Bayesian diagnostics of transformation
                                  structural equation models . . . . . . . 111--128
             The Minh Luong and   
             Yves Rozenholc and   
                   Gregory Nuel   Fast estimation of posterior
                                  probabilities in change-point analysis
                                  through a constrained hidden Markov
                                  model  . . . . . . . . . . . . . . . . . 129--140
             Esther Salazar and   
            David B. Dunson and   
                 Lawrence Carin   Analysis of space--time relational data
                                  with application to legislative voting   141--154
María Luz Gámiz Pérez and   
                 Lena Janys and   
María Dolores Martínez Miranda and   
             Jens Perch Nielsen   Bandwidth selection in marker dependent
                                  kernel hazard estimation . . . . . . . . 155--169
            Marcus B. Perry and   
      Gregory V. Michaelson and   
                M. Alan Ballard   On the statistical detection of clusters
                                  in undirected networks . . . . . . . . . 170--189
              Myung Hee Lee and   
                     Yufeng Liu   Kernel continuum regression  . . . . . . 190--201
             Kane Nashimoto and   
        Kristin M. Haldeman and   
            Christopher M. Tait   Multiple comparisons of $k$ binomial
                                  proportions  . . . . . . . . . . . . . . 202--212
        Christian H. Weiß   Serial dependence of NDARMA processes    213--238
                Marek Molas and   
              Maengseok Noh and   
                Youngjo Lee and   
              Emmanuel Lesaffre   Joint hierarchical generalized linear
                                  models with multivariate Gaussian random
                                  effects  . . . . . . . . . . . . . . . . 239--250
               Wai-Yin Poon and   
                   Hai-Bin Wang   Bayesian analysis of generalized
                                  partially linear single-index models . . 251--261
  Sílvia R. C. Lopes and   
                Taiane S. Prass   Seasonal FIEGARCH processes  . . . . . . 262--295
           Hsiu-Ching Chang and   
                     Hwan Chung   Dealing with multiple local modalities
                                  in latent class profile analysis . . . . 296--310
           Pier Luigi Conti and   
            Daniela Marella and   
                    Mauro Scanu   Uncertainty analysis for statistical
                                  matching of ordered categorical
                                  variables  . . . . . . . . . . . . . . . 311--325
                    Le Kang and   
             Chengjie Xiong and   
                      Lili Tian   Estimating confidence intervals for the
                                  difference in diagnostic accuracy with
                                  three ordinal diagnostic categories
                                  without a gold standard  . . . . . . . . 326--338
             Joseph B. Lang and   
                 Maria Iannario   Improved tests of independence in
                                  singly-ordered two-way contingency
                                  tables . . . . . . . . . . . . . . . . . 339--351
                     Shu-Fei Wu   One stage multiple comparisons with the
                                  average for exponential location
                                  parameters under heteroscedasticity  . . 352--360
                  Jean-Paul Fox   Multivariate zero-inflated modeling with
                                  latent predictors: Modeling feedback
                                  behavior . . . . . . . . . . . . . . . . 361--374
               Tung H. Pham and   
            John T. Ormerod and   
                     M. P. Wand   Mean field variational Bayesian
                                  inference for nonparametric regression
                                  with measurement error . . . . . . . . . 375--387
                Refik Soyer and   
                     Minje Sung   Bayesian dynamic probit models for the
                                  analysis of longitudinal data  . . . . . 388--398


Computational Statistics & Data Analysis
Volume 69, Number ??, January, 2014

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi--vii
                Matteo Rota and   
                 Laura Antolini   Finding the optimal cut-point for
                                  Gaussian and Gamma distributed
                                  biomarkers . . . . . . . . . . . . . . . 1--14
      Beno\^\ite de Saporta and   
   Anne Gégout-Petit and   
              Laurence Marsalle   Statistical study of asymmetry in cell
                                  lineage data . . . . . . . . . . . . . . 15--39
              Joakim Westerlund   On the choice of test for a unit root
                                  when the errors are conditionally
                                  heteroskedastic  . . . . . . . . . . . . 40--53
               Kaveh Vakili and   
                   Eric Schmitt   Finding multivariate outliers with
                                  FastPCS  . . . . . . . . . . . . . . . . 54--66
            Ayman Alzaatreh and   
               Felix Famoye and   
                       Carl Lee   The gamma-normal distribution:
                                  Properties and applications  . . . . . . 67--80
          Paul W. Bernhardt and   
           Huixia Judy Wang and   
                   Daowen Zhang   Flexible modeling of survival data with
                                  covariates subject to detection limits
                                  via multiple imputation  . . . . . . . . 81--91
                   Sangyeol Lee   Goodness of fit test for discrete random
                                  variables  . . . . . . . . . . . . . . . 92--100
             Chengjie Xiong and   
                Jingqin Luo and   
                   Feng Gao and   
                 John C. Morris   Optimizing parameters in clinical trials
                                  with a randomized start or withdrawal
                                  design . . . . . . . . . . . . . . . . . 101--113
                 Song Zhang and   
                   Jing Cao and   
                       Chul Ahn   A GEE approach to determine sample size
                                  for pre- and post-intervention
                                  experiments with dropout . . . . . . . . 114--121
                Omer Ozturk and   
         Mohammad Jafari Jozani   Inclusion probabilities in partially
                                  rank ordered set sampling  . . . . . . . 122--132
     S. M. Sadooghi-Alvandi and   
                  A. Malekzadeh   Simultaneous confidence intervals for
                                  ratios of means of several lognormal
                                  distributions: a parametric bootstrap
                                  approach . . . . . . . . . . . . . . . . 133--140
          Paulo C. Emiliano and   
 Mário J. F. Vivanco and   
        Fortunato S. de Menezes   Information criteria: How do they behave
                                  in different models? . . . . . . . . . . 141--153
            Aboubacar Amiri and   
         Christophe Crambes and   
                     Baba Thiam   Recursive estimation of nonparametric
                                  regression with functional covariate . . 154--172
                  Liyong Fu and   
             Mingliang Wang and   
                Yuancai Lei and   
                 Shouzheng Tang   Parameter estimation of two-level
                                  nonlinear mixed effects models using
                                  first order conditional linearization
                                  and the EM algorithm . . . . . . . . . . 173--183
        Markus Chagas Stein and   
   Michel Ferreira da Silva and   
          Luiz Henrique Duczmal   Alternatives to the usual likelihood
                                  ratio test in mixed linear models  . . . 184--197
              Jin-Hong Park and   
     Dipankar Bandyopadhyay and   
           Elizabeth Letourneau   Examining deterrence of adult sex
                                  crimes: a semi-parametric intervention
                                  time-series approach . . . . . . . . . . 198--207
               Liewen Jiang and   
          Howard D. Bondell and   
               Huixia Judy Wang   Interquantile shrinkage and variable
                                  selection in quantile regression . . . . 208--219
             Gerd K. Rosenkranz   Bootstrap corrections of treatment
                                  effect estimates following selection . . 220--227
                     Xu Guo and   
                   Tao Wang and   
                  Wangli Xu and   
                     Lixing Zhu   Dimension reduction with missing
                                  response at random . . . . . . . . . . . 228--242
              Kwang Woo Ahn and   
                  Kung-Sik Chan   Approximate conditional least squares
                                  estimation of a nonlinear state-space
                                  model via an unscented Kalman filter . . 243--254
            Ana Arribas-Gil and   
         Hans-Georg Müller   Pairwise dynamic time warping for event
                                  data . . . . . . . . . . . . . . . . . . 255--268
           Florian Frommlet and   
          Felix Ruhaltinger and   
        Piotr Twaróg and   
             Ma\lgorzata Bogdan   Corrigendum to ``Modified versions of
                                  Bayesian Information Criterion for
                                  genome-wide association studies''
                                  [Comput. Statist. Data Anal. \bf 56 (5)
                                  (2012) 1038--1051] . . . . . . . . . . . 269


Computational Statistics & Data Analysis
Volume 70, Number ??, February, 2014

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi--vii
           Heiko Großmann   Automating the analysis of variance of
                                  orthogonal designs . . . . . . . . . . . 1--18
          Sophie Hautphenne and   
                  Mark Fackrell   An EM algorithm for the model fitting of
                                  Markovian binary trees . . . . . . . . . 19--34
         P. Menéndez and   
                     Y. Fan and   
           P. H. Garthwaite and   
                   S. A. Sisson   Simultaneous adjustment of bias and
                                  coverage probabilities for confidence
                                  intervals  . . . . . . . . . . . . . . . 35--44
          Elizabeth G. Ryan and   
    Christopher C. Drovandi and   
          M. Helen Thompson and   
             Anthony N. Pettitt   Towards Bayesian experimental design for
                                  nonlinear models that require a large
                                  number of sampling times . . . . . . . . 45--60
               W. J. J. Roberts   Factor analysis parameter estimation
                                  from incomplete data . . . . . . . . . . 61--66
      Elizabeth Ann Maharaj and   
        Andrés M. Alonso   Discriminant analysis of multivariate
                                  time series: Application to diagnosis
                                  based on ECG signals . . . . . . . . . . 67--87
             Raul Cruz-Cano and   
              Mei-Ling Ting Lee   Fast regularized canonical correlation
                                  analysis . . . . . . . . . . . . . . . . 88--100
               Suohong Wang and   
                     Biao Zhang   Semiparametric empirical likelihood
                                  confidence intervals for AUC under a
                                  density ratio model  . . . . . . . . . . 101--115
                     Lan Wu and   
                Yuehan Yang and   
                   Hanzhong Liu   Nonnegative-lasso and application in
                                  index tracking . . . . . . . . . . . . . 116--126
         Tony Siu Tung Wong and   
                   Wai Keung Li   Test for homogeneity in gamma mixture
                                  models using likelihood ratio  . . . . . 127--137
                   Shan Luo and   
                     Zehua Chen   Edge detection in sparse Gaussian
                                  graphical models . . . . . . . . . . . . 138--152
             Eugene Kouassi and   
      Mbodja Mougoué and   
                 Joel Sango and   
          J. M. Bosson Brou and   
          Claude M. O. Amba and   
           Afeez Adebare Salisu   Testing for heteroskedasticity and
                                  spatial correlation in a two way random
                                  effects model  . . . . . . . . . . . . . 153--171
              Guochang Wang and   
                    Nan Lin and   
                   Baoxue Zhang   Functional $k$-means inverse regression  172--182
                  Tao Zhang and   
             Qingzhao Zhang and   
                     Qihua Wang   Model detection for functional
                                  polynomial regression  . . . . . . . . . 183--197
                 S. Roberts and   
                       G. Nowak   Stabilizing the lasso against
                                  cross-validation variability . . . . . . 198--211
              Mike K. P. So and   
                Ray S. W. Chung   Dynamic seasonality in time series . . . 212--226
       Genevi\`eve Lefebvre and   
              Juli Atherton and   
                   Denis Talbot   The effect of the prior distribution in
                                  the Bayesian Adjustment for Confounding
                                  algorithm  . . . . . . . . . . . . . . . 227--240
                   Peng Lai and   
                 Qihua Wang and   
                  Xiao-Hua Zhou   Variable selection and semiparametric
                                  efficient estimation for the
                                  heteroscedastic partially linear
                                  single-index model . . . . . . . . . . . 241--256
             David Campbell and   
                   Subhash Lele   An ANOVA test for parameter estimability
                                  using data cloning with application to
                                  statistical inference for dynamic
                                  systems  . . . . . . . . . . . . . . . . 257--267
          Yolanda Marhuenda and   
            Domingo Morales and   
  María del Carmen Pardo   Information criteria for Fay--Herriot
                                  model selection  . . . . . . . . . . . . 268--280
       Michael A. Kouritzin and   
              Fraser Newton and   
                        Biao Wu   A graph theoretic approach to simulation
                                  and classification . . . . . . . . . . . 281--294
                 Wenjing Xu and   
                   Qing Pan and   
            Joseph L. Gastwirth   Cox proportional hazards models with
                                  frailty for negatively correlated
                                  employment processes . . . . . . . . . . 295--307
                 Linyuan Li and   
                   Shan Yao and   
                Pierre Duchesne   On wavelet-based testing for serial
                                  correlation of unknown form using Fan's
                                  adaptive Neyman method . . . . . . . . . 308--327
                Xavier Puig and   
                  Josep Ginebra   A cluster analysis of vote transitions   328--344
                   Shen Liu and   
      Elizabeth Ann Maharaj and   
                    Brett Inder   Polarization of forecast densities: a
                                  new approach to time series
                                  classification . . . . . . . . . . . . . 345--361
             Jeff Goldsmith and   
                 Fabian Scheipl   Estimator selection and combination in
                                  scalar-on-function regression  . . . . . 362--372
      Chloé Dimeglio and   
     Santiago Gallón and   
         Jean-Michel Loubes and   
                      Elie Maza   A robust algorithm for template curve
                                  estimation based on manifold embedding   373--386
              Zhongxue Chen and   
             Saralees Nadarajah   On the optimally weighted $z$-test for
                                  combining probabilities from independent
                                  studies  . . . . . . . . . . . . . . . . 387--394
              Xiaolin Huang and   
                    Lei Shi and   
            Johan A. K. Suykens   Asymmetric least squares support vector
                                  machine classifiers  . . . . . . . . . . 395--405


Computational Statistics & Data Analysis
Volume 71, Number ??, March, 2014

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi--xii
       Dankmar Böhning and   
           Christian Hennig and   
      Geoffrey J. McLachlan and   
             Paul D. McNicholas   The 2nd special issue on advances in
                                  mixture models . . . . . . . . . . . . . 1--2
           Donatella Vicari and   
              Marco Alfó   Model based clustering of customer
                                  choice data  . . . . . . . . . . . . . . 3--13
                  N. Coffey and   
                   J. Hinde and   
                      E. Holian   Clustering longitudinal profiles using
                                  $P$-splines and mixed effects models
                                  applied to time-course gene expression
                                  data . . . . . . . . . . . . . . . . . . 14--29
              Stijn Jaspers and   
                 Marc Aerts and   
              Geert Verbeke and   
       Pierre-Alexandre Beloeil   A new semi-parametric mixture model for
                                  interval censored data, with
                                  applications in the field of
                                  antimicrobial resistance . . . . . . . . 30--42
                   S. K. Ng and   
                G. J. McLachlan   Mixture models for clustering multilevel
                                  growth trajectories  . . . . . . . . . . 43--51
          Charles Bouveyron and   
         Camille Brunet-Saumard   Model-based clustering of
                                  high-dimensional data: a review  . . . . 52--78
          Daniela G. Cal\`o and   
           Angela Montanari and   
                  Cinzia Viroli   A hierarchical modeling approach for
                                  clustering probability density functions 79--91
             Julien Jacques and   
                 Cristian Preda   Model-based clustering for multivariate
                                  functional data  . . . . . . . . . . . . 92--106
             Athanase Polymenis   A combined likelihood ratio/information
                                  ratio bootstrap technique for estimating
                                  the number of components in finite
                                  mixtures . . . . . . . . . . . . . . . . 107--115
                 Weixin Yao and   
                    Yan Wei and   
                        Chun Yu   Robust mixture regression using the
                                  $t$-distribution . . . . . . . . . . . . 116--127
               Weixing Song and   
                 Weixin Yao and   
                     Yanru Xing   Robust mixture regression model fitting
                                  by Laplace distribution  . . . . . . . . 128--137
        Giuliano Galimberti and   
             Gabriele Soffritti   A multivariate linear regression
                                  analysis using finite mixtures of $t$
                                  distributions  . . . . . . . . . . . . . 138--150
              Hwa Kyung Lim and   
               Wai Keung Li and   
                Philip L. H. Yu   Zero-inflated Poisson regression mixture
                                  model  . . . . . . . . . . . . . . . . . 151--158
        Salvatore Ingrassia and   
          Simona C. Minotti and   
                  Antonio Punzo   Model-based clustering via linear
                                  cluster-weighted models  . . . . . . . . 159--182
                    Tsung-I Lin   Learning from incomplete data via
                                  parameterized $t$ mixture models through
                                  eigenvalue decomposition . . . . . . . . 183--195
                Irene Vrbik and   
             Paul D. McNicholas   Parsimonious skew mixture models for
                                  model-based clustering and
                                  classification . . . . . . . . . . . . . 196--210
            Mary Lesperance and   
                 Rabih Saab and   
                   John Neuhaus   Nonparametric estimation of the mixing
                                  distribution in logistic regression
                                  mixed models with random intercepts and
                                  slopes . . . . . . . . . . . . . . . . . 211--219
         Zhenqiu (Laura) Lu and   
                  Zhiyong Zhang   Robust growth mixture models with
                                  non-ignorable missingness: Models,
                                  estimation, selection, and application   220--240
            Shirley Pledger and   
                 Richard Arnold   Multivariate methods using mixtures:
                                  Correspondence analysis, scaling and
                                  pattern-detection  . . . . . . . . . . . 241--261
               Silvia Bacci and   
           Francesco Bartolucci   Mixtures of equispaced normal
                                  distributions and their use for testing
                                  symmetry with univariate data  . . . . . 262--272
           Cathy W. S. Chen and   
               David Dunson and   
Sylvia Frühwirth-Schnatter and   
              Stephen G. Walker   Special issue on Bayesian computing,
                                  methods and applications . . . . . . . . 273--273
     Carlos A. Abanto-Valle and   
                   Dipak K. Dey   State space mixed models for binary
                                  responses with scale mixture of normal
                                  distributions links  . . . . . . . . . . 274--287
                   David Azriel   Optimal sequential designs in phase $I$
                                  studies  . . . . . . . . . . . . . . . . 288--297
         Stelios D. Bekiros and   
             Alessia Paccagnini   Bayesian forecasting with small and
                                  medium scale factor-augmented vector
                                  autoregressive DSGE models . . . . . . . 298--323
            Bingshu E. Chen and   
                Wenyu Jiang and   
                   Dongsheng Tu   A hierarchical Bayes model for biomarker
                                  subset effects in clinical trials  . . . 324--334
                 Yuhui Chen and   
              Timothy E. Hanson   Bayesian nonparametric $k$-sample tests
                                  for censored and uncensored data . . . . 335--346
            S. McKay Curtis and   
          Sayantan Banerjee and   
               Subhashis Ghosal   Fast Bayesian model assessment for
                                  nonparametric additive regression  . . . 347--358
                  S. Grassi and   
                    T. Proietti   Characterising economic trends by
                                  Bayesian stochastic model specification
                                  search . . . . . . . . . . . . . . . . . 359--374
                  Mayetri Gupta   An evolutionary Monte Carlo algorithm
                                  for Bayesian block clustering of data
                                  matrices . . . . . . . . . . . . . . . . 375--391
             Sarah E. Heaps and   
            Richard J. Boys and   
                 Malcolm Farrow   Computation of marginal likelihoods with
                                  data-dependent support for latent
                                  variables  . . . . . . . . . . . . . . . 392--401
               Ick Hoon Jin and   
                   Faming Liang   Use of SAMC for Bayesian analysis of
                                  statistical models with intractable
                                  normalizing constants  . . . . . . . . . 402--416
              Antonio Lijoi and   
            Bernardo Nipoti and   
             Igor Prünster   Dependent mixture models: Clustering and
                                  borrowing information  . . . . . . . . . 417--433
      Trevelyan J. McKinley and   
             Joshua V. Ross and   
                Rob Deardon and   
                   Alex R. Cook   Simulation-based Bayesian inference for
                                  epidemic models  . . . . . . . . . . . . 434--447
                   Joris Mulder   Prior adjusted default Bayes factors for
                                  testing (in)equality constrained
                                  hypotheses . . . . . . . . . . . . . . . 448--463
                 L. Naranjo and   
           J. Martín and   
             C. J. Pérez   Bayesian binary regression with
                                  exponential power link . . . . . . . . . 464--476
          Luis E. Nieto-Barajas   Bayesian semiparametric analysis of
                                  short- and long-term hazard ratios with
                                  covariates . . . . . . . . . . . . . . . 477--490
              David J. Nott and   
              Lucy Marshall and   
              Mark Fielding and   
                 Shie-Yui Liong   Mixtures of experts for understanding
                                  model discrepancy in dynamic computer
                                  models . . . . . . . . . . . . . . . . . 491--505
Gabriel Nuñez-Antonio and   
Eduardo Gutiérrez-Peña   A Bayesian model for longitudinal
                                  circular data based on the projected
                                  normal distribution  . . . . . . . . . . 506--519
                     Yu Qiu and   
          Daniel J. Nordman and   
            Stephen B. Vardeman   One-sample Bayes inference for symmetric
                                  distributions of $3$-D rotations . . . . 520--529
                  T. Rajala and   
                   A. Penttinen   Bayesian analysis of a Gibbs hard-core
                                  point pattern model with varying
                                  repulsion range  . . . . . . . . . . . . 530--541
              Anne Sabourin and   
                Philippe Naveau   Bayesian Dirichlet mixture model for
                                  multivariate extremes: a
                                  re-parametrization . . . . . . . . . . . 542--567
              Mike K. P. So and   
             Raymond K. S. Chan   Bayesian analysis of tail asymmetry
                                  based on a threshold extreme value model 568--587
          Charlotte Soneson and   
                  Magnus Fontes   Incorporation of gene exchangeabilities
                                  improves the reproducibility of gene set
                                  rankings . . . . . . . . . . . . . . . . 588--598
                  L. Spezia and   
             S. L. Cooksley and   
               M. J. Brewer and   
                D. Donnelly and   
                        A. Tree   Modelling species abundance in a river
                                  by Negative Binomial hidden Markov
                                  models . . . . . . . . . . . . . . . . . 599--614
       Frank van der Meulen and   
             Moritz Schauer and   
               Harry van Zanten   Reversible jump MCMC for nonparametric
                                  drift estimation for diffusion processes 615--632
                Lichun Wang and   
                Radhey S. Singh   Linear Bayes estimator for the
                                  two-parameter exponential family under
                                  type II censoring  . . . . . . . . . . . 633--642
               Gentry White and   
              Michael D. Porter   GPU accelerated MCMC for modeling
                                  terrorist activity . . . . . . . . . . . 643--651
              S. Ejaz Ahmed and   
            Gerda Claeskens and   
       Hidetoshi Shimodaira and   
               Stefan Van Aelst   Special issue on Model Selection and
                                  High Dimensional Data Reduction  . . . . 652--653
                   Rudolf Beran   Hypercube estimators: Penalized least
                                  squares, submodel selection, and
                                  numerical stability  . . . . . . . . . . 654--666
               A. Blommaert and   
                    N. Hens and   
                    Ph. Beutels   Data mining for longitudinal data under
                                  multicollinearity and time dependence
                                  using penalized generalized estimating
                                  equations  . . . . . . . . . . . . . . . 667--680
          David Dernoncourt and   
             Blaise Hanczar and   
             Jean-Daniel Zucker   Analysis of feature selection stability
                                  on high dimension and small sample data  681--693
                 Peter Hall and   
                   Jing-Hao Xue   On selecting interacting features from
                                  high-dimensional data  . . . . . . . . . 694--708
            Luis F. Martins and   
               Vasco J. Gabriel   Linear instrumental variables model
                                  averaging estimation . . . . . . . . . . 709--724
             Jan Mielniczuk and   
               Pawe\l Teisseyre   Using random subspace method for
                                  prediction and variable importance
                                  assessment in linear regression  . . . . 725--742
                 M. Mougeot and   
                  D. Picard and   
                   K. Tribouley   LOL selection in high dimension  . . . . 743--757
          Michael Schomaker and   
              Christian Heumann   Model selection and model averaging
                                  after multiple imputation  . . . . . . . 758--770
             Martin Vincent and   
           Niels Richard Hansen   Sparse group lasso and high dimensional
                                  multinomial classification . . . . . . . 771--786
                 Ana Colubi and   
                Thierry Denoeux   Special issue on imprecision in
                                  statistical data analysis  . . . . . . . 787--788
Joaquín Abellán and   
           Rebecca M. Baker and   
         Frank P. A. Coolen and   
        Richard J. Crossman and   
      Andrés R. Masegosa   Classification with decision trees from
                                  a nonparametric predictive inference
                                  perspective  . . . . . . . . . . . . . . 789--802
          Christine Choirat and   
                 Raffaello Seri   Bootstrap confidence sets for the Aumann
                                  mean of a random closed set  . . . . . . 803--817
                  G. Corani and   
                   A. Antonucci   Credal ensembles of classifiers  . . . . 818--831
    Beno\^\it Frénay and   
           Gauthier Doquire and   
               Michel Verleysen   Estimating mutual information for
                                  feature selection in the presence of
                                  label noise  . . . . . . . . . . . . . . 832--848
                 Jan Hannig and   
            Randy C. S. Lai and   
               Thomas C. M. Lee   Computational issues of generalized
                                  fiducial inference . . . . . . . . . . . 849--858
    J. López-Fidalgo and   
       M. J. Rivas-López   Optimal experimental designs for partial
                                  likelihood information . . . . . . . . . 859--867
             Ignacio Montes and   
            Enrique Miranda and   
                  Susana Montes   Stochastic dominance with imprecise
                                  information  . . . . . . . . . . . . . . 868--886
            Peter Filzmoser and   
              Cristian Gatu and   
                  Achim Zeileis   Special issue on statistical algorithms
                                  and software in R  . . . . . . . . . . . 887--888
                  Thomas W. Yee   Reduced-rank vector generalized linear
                                  models with two linear predictors  . . . 889--902
                   A. Polpo and   
            C. P. de Campos and   
                   D. Sinha and   
                 S. Lipsitz and   
                         J. Lin   Transform both sides model: a parametric
                                  approach . . . . . . . . . . . . . . . . 903--913
                 Giovanni Millo   Maximum likelihood estimation of
                                  spatially and serially correlated panels
                                  with random effects  . . . . . . . . . . 914--933
            Nina Golyandina and   
             Anton Korobeynikov   Basic Singular Spectrum Analysis and
                                  forecasting with R . . . . . . . . . . . 934--954
             William H. Asquith   Parameter estimation for the
                                  $4$-parameter Asymmetric Exponential
                                  Power distribution by the method of
                                  $L$-moments using R  . . . . . . . . . . 955--970
       Francesco Bartolucci and   
               Silvia Bacci and   
                 Michela Gnaldi   MultiLCIRT: an R package for
                                  multidimensional latent class item
                                  response models  . . . . . . . . . . . . 971--985
       Manuel J. A. Eugster and   
           Friedrich Leisch and   
                 Carolin Strobl   (Psycho-)analysis of benchmark
                                  experiments: a formal framework for
                                  investigating the relationship between
                                  data sets and learning algorithms  . . . 986--1000
                 Liqun Wang and   
                   Chel Hee Lee   Discretization-based direct random
                                  sample generation  . . . . . . . . . . . 1001--1010
            Ching-Wei Cheng and   
             Ying-Chao Hung and   
     Narayanaswamy Balakrishnan   Generating beta random numbers and
                                  Dirichlet random vectors in R: the
                                  package rBeta2009  . . . . . . . . . . . 1011--1020
   Clément Chevalier and   
             Victor Picheny and   
              David Ginsbourger   KrigInv: an efficient and user-friendly
                                  implementation of batch-sequential
                                  inversion strategies based on kriging    1021--1034
             Victor Picheny and   
              David Ginsbourger   Noisy kriging-based optimization
                                  methods: a unified implementation within
                                  the DiceOptim package  . . . . . . . . . 1035--1053
          Dirk Eddelbuettel and   
               Conrad Sanderson   RcppArmadillo: Accelerating R with
                                  high-performance C++ linear algebra  . . 1054--1063
             Steven Gilmour and   
                 Roger W. Payne   Special issue on algorithms for design
                                  of experiments . . . . . . . . . . . . . 1064--1065
            Haftom T. Abebe and   
            Frans E. S. Tan and   
 Gerard J. P. Van Breukelen and   
           Martijn P. F. Berger   Bayesian $D$-optimal designs for the two
                                  parameter logistic mixed effects model   1066--1076
             B. Almohaimeed and   
                    A. N. Donev   Experimental designs for drug
                                  combination studies  . . . . . . . . . . 1077--1087
             A. Boukouvalas and   
                D. Cornford and   
              M. Stehlík   Optimal design for correlated processes
                                  with input-dependent noise . . . . . . . 1088--1102
               Holger Dette and   
          Andrey Pepelyshev and   
            Anatoly Zhigljavsky   `Nearly' universally optimal designs for
                                  models with correlated observations  . . 1103--1112
                  N. Gaffke and   
          U. Graßhoff and   
                     R. Schwabe   Algorithms for approximate linear
                                  regression design with application to a
                                  first order model with
                                  heteroscedasticity . . . . . . . . . . . 1113--1123
        Stelios D. Georgiou and   
           Stella Stylianou and   
               Manohar Aggarwal   A class of composite designs for
                                  response surface methodology . . . . . . 1124--1133
            J. D. Godolphin and   
                   H. R. Warren   An efficient procedure for the avoidance
                                  of disconnected incomplete block designs 1134--1146
             Alex J. Gutman and   
            Edward D. White and   
           Dennis K. J. Lin and   
                Raymond R. Hill   Augmenting supersaturated designs with
                                  Bayesian $D$-optimality  . . . . . . . . 1147--1158
            Radoslav Harman and   
            Lenka Filová   Computing efficient exact designs of
                                  experiments using integer quadratic
                                  programming  . . . . . . . . . . . . . . 1159--1167
           S. Loeza-Serrano and   
                    A. N. Donev   Construction of experimental designs for
                                  estimating variance components . . . . . 1168--1177
                      Lu Lu and   
 Christine M. Anderson-Cook and   
               Dennis K. J. Lin   Optimal designed experiments using a
                                  Pareto front search for focused
                                  preference of multiple objectives  . . . 1178--1192
            Francesco Sambo and   
            Matteo Borrotti and   
                Kalliopi Mylona   A coordinate-exchange two-phase local
                                  search algorithm for the $D$- and
                                  $I$-optimal designs of split-plot
                                  experiments  . . . . . . . . . . . . . . 1193--1207
                 C. Tommasi and   
J. M. Rodríguez-Díaz and   
     M. T. Santos-Martín   Integral approximations for computing
                                  optimum designs in random effects
                                  logistic regression models . . . . . . . 1208--1220


Computational Statistics & Data Analysis
Volume 72, Number ??, April, 2014

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi--vii
             Hengzhen Huang and   
                 Jinyu Yang and   
                   Min-Qian Liu   Functionally induced priors for
                                  componentwise Gibbs sampler in the
                                  analysis of supersaturated designs . . . 1--12
        Bradley C. Turnbull and   
                 Sujit K. Ghosh   Unimodal density estimation using
                                  Bernstein polynomials  . . . . . . . . . 13--29
            Mathieu Bonneau and   
               Sabrina Gaba and   
           Nathalie Peyrard and   
          Régis Sabbadin   Reinforcement learning-based design of
                                  sampling policies under cost constraints
                                  in Markov random fields: Application to
                                  weed map reconstruction  . . . . . . . . 30--44
                 Ana Colubi and   
J. Santos Domínguez-Menchero and   
Gil González-Rodríguez   Testing constancy in monotone response
                                  models . . . . . . . . . . . . . . . . . 45--56
                Peter Malec and   
               Melanie Schienle   Nonparametric kernel density estimation
                                  near the boundary  . . . . . . . . . . . 57--76
            Sanjoy K. Sinha and   
               Amit Kaushal and   
                  Wenzhong Xiao   Inference for longitudinal data with
                                  nonignorable nonmonotone missing
                                  responses  . . . . . . . . . . . . . . . 77--91
                L. L. Doove and   
              S. Van Buuren and   
                  E. Dusseldorp   Recursive partitioning for missing data
                                  imputation in the presence of
                                  interaction effects  . . . . . . . . . . 92--104
              Diman Todorov and   
                   Rossi Setchi   Time-efficient estimation of conditional
                                  mutual information for variable
                                  selection in classification  . . . . . . 105--127
    Christopher C. Drovandi and   
         Anthony N. Pettitt and   
        Robert D. Henderson and   
              Pamela A. McCombe   Marginal reversible jump Markov chain
                                  Monte Carlo with application to motor
                                  unit number estimation . . . . . . . . . 128--146
                     Man-Suk Oh   Bayesian test on equality of score
                                  parameters in the order restricted RC
                                  association model  . . . . . . . . . . . 147--157
                Shijie Tang and   
                 Lisha Chen and   
               Kam-Wah Tsui and   
                   Kjell Doksum   Nonparametric variable selection and
                                  classification: the CATCH algorithm  . . 158--175
               Derek Beaton and   
       Cherise R. Chin Fatt and   
              Hervé Abdi   An ExPosition of multivariate analysis
                                  with the singular value decomposition in
                                  R  . . . . . . . . . . . . . . . . . . . 176--189
               Johan Segers and   
             Nathan Uyttendaele   Nonparametric estimation of the tree
                                  structure of a nested Archimedean copula 190--204
               Jianhua Zhao and   
                        Lei Shi   Automated learning of factor analysis
                                  with complete and incomplete data  . . . 205--218
        Jessica M. Franklin and   
 Sebastian Schneeweiß and   
       Jennifer M. Polinski and   
               Jeremy A. Rassen   Plasmode simulation for the evaluation
                                  of pharmacoepidemiologic methods in
                                  complex healthcare databases . . . . . . 219--226
       Lars Lau Rakêt and   
                   Bo Markussen   Approximate inference for spatial
                                  functional data on massively parallel
                                  processors . . . . . . . . . . . . . . . 227--240
             Nabil Channouf and   
              Marc Fredette and   
               Brenda MacGibbon   Power and sample size calculations for
                                  Poisson and zero-inflated Poisson
                                  regression models  . . . . . . . . . . . 241--251
                Giusi Moffa and   
                   Jack Kuipers   Sequential Monte Carlo EM for
                                  multivariate probit models . . . . . . . 252--272
                Stephen Portnoy   The jackknife's edge: Inference for
                                  censored regression quantiles  . . . . . 273--281
              Ray-Bing Chen and   
                Yen-Wen Hsu and   
                  Ying Hung and   
                  Weichung Wang   Discrete particle swarm optimization for
                                  constructing uniform design on irregular
                                  regions  . . . . . . . . . . . . . . . . 282--297
            Silvia Pandolfi and   
       Francesco Bartolucci and   
                     Nial Friel   A generalized multiple-try version of
                                  the Reversible Jump algorithm  . . . . . 298--314


Computational Statistics & Data Analysis
Volume 73, Number ??, May, 2014

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi--vii
       Damla \cSentürk and   
              Samiran Ghosh and   
                 Danh V. Nguyen   Exploratory time varying lagged
                                  regression: Modeling association of
                                  cognitive and functional trajectories
                                  with expected clinic visits in older
                                  adults . . . . . . . . . . . . . . . . . 1--15
          Matthew D. Austin and   
            Rebecca A. Betensky   Eliminating bias due to censoring in
                                  Kendall's tau estimators for
                                  quasi-independence of truncation and
                                  failure  . . . . . . . . . . . . . . . . 16--26
        André Fujita and   
        Daniel Y. Takahashi and   
          Alexandre G. Patriota   A non-parametric method to estimate the
                                  number of clusters . . . . . . . . . . . 27--39
                  A. Butler and   
               R. D. Haynes and   
            T. D. Humphries and   
                      P. Ranjan   Efficient optimization of the likelihood
                                  function in Gaussian process modelling   40--52
            Mustapha Rachdi and   
                Ali Laksaci and   
          Jacques Demongeot and   
               Abdel Abdali and   
                   Fethi Madani   Theoretical and practical aspects of the
                                  quadratic error in the local linear
                                  estimation of the conditional density
                                  for functional data  . . . . . . . . . . 53--68
          Jean-Marie Dufour and   
                   Tarek Jouini   Asymptotic distributions for
                                  quasi-efficient estimators in echelon
                                  VARMA models . . . . . . . . . . . . . . 69--86
                Vivekananda Roy   Efficient estimation of the link
                                  function parameter in a robust Bayesian
                                  binary regression model  . . . . . . . . 87--102
                    Yang Li and   
                   Hui Zhao and   
                Jianguo Sun and   
                  KyungMann Kim   Nonparametric tests for panel count data
                                  with unequal observation processes . . . 103--111
     Mohammad Nourmohammadi and   
     Mohammad Jafari Jozani and   
                Brad C. Johnson   Confidence intervals for quantiles in
                                  finite populations with randomized
                                  nomination sampling  . . . . . . . . . . 112--128
            Shih-Feng Huang and   
                     Ya-Ting Tu   Asymptotic distribution of the EPMS
                                  estimator for financial derivatives
                                  pricing  . . . . . . . . . . . . . . . . 129--145
             Andrew T. Karl and   
                   Yan Yang and   
                 Sharon L. Lohr   Computation of maximum likelihood
                                  estimates for multiresponse generalized
                                  linear mixed models with non-nested,
                                  correlated random effects  . . . . . . . 146--162
                   Jan Luts and   
                John T. Ormerod   Mean field variational Bayesian
                                  inference for support vector machine
                                  classification . . . . . . . . . . . . . 163--176
                      Li Li and   
              Timothy E. Hanson   A Bayesian semiparametric regression
                                  model for reliability data using
                                  effective age  . . . . . . . . . . . . . 177--188
            Louise K. Lloyd and   
            Jonathan J. Forster   Modelling trends in road accident
                                  frequency --- Bayesian inference for
                                  rates with uncertain exposure  . . . . . 189--204


Computational Statistics & Data Analysis
Volume 74, Number ??, June, 2014

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi--vii
               Chunpeng Fan and   
                  Donghui Zhang   Wald-type rank tests: a GEE approach . . 1--16
     Shu-Chuan (Grace) Chen and   
                  Bruce Lindsay   Improving mixture tree construction
                                  using better EM algorithms . . . . . . . 17--25
              Måns Thulin   A high-dimensional two-sample test for
                                  the mean using random subspaces  . . . . 26--38
                Pei-Fang Su and   
                 Chung-I Li and   
                        Yu Shyr   Sample size determination for paired
                                  right-censored data based on the
                                  difference of Kaplan--Meier estimates    39--51
                          W. He   Analysis of multivariate survival data
                                  with Clayton regression models under
                                  conditional and marginal formulations    52--63
Celso Rômulo Barbosa Cabral and   
    Cibele Queiroz da-Silva and   
                 Helio S. Migon   A dynamic linear model with extended
                                  skew-normal for the initial distribution
                                  of the state parameter . . . . . . . . . 64--80
               Caren Hasler and   
              Yves Tillé   Fast balanced sampling for highly
                                  stratified population  . . . . . . . . . 81--94
              Ray-Bing Chen and   
                  Ying Chen and   
        Wolfgang K. Härdle   TVICA --- Time varying independent
                                  component analysis and its application
                                  to financial data  . . . . . . . . . . . 95--109
            Tiago M. Vargas and   
       Silvia L. P. Ferrari and   
               Artur J. Lemonte   Improved likelihood inference in
                                  generalized linear models  . . . . . . . 110--124
               Lina Schelin and   
     Sara Sjöstedt-de Luna   Spatial prediction in the presence of
                                  left-censoring . . . . . . . . . . . . . 125--141
                     Jun Ma and   
          Stephane Heritier and   
            Serigne N. Lô   On the maximum penalized likelihood
                                  approach for proportional hazard models
                                  with right censored survival data  . . . 142--156
           Carlos A. Alfaro and   
         Burcu Aydìn and   
         Carlos E. Valencia and   
          Elizabeth Bullitt and   
                     Alim Ladha   Dimension reduction in principal
                                  component analysis for trees . . . . . . 157--179
                   Hamid Bidram   A note on ``Louzada, F., Roman, M.,
                                  Cancho, V. G., 2011. ``The complementary
                                  exponential geometric distribution:
                                  Model, properties, and a comparison with
                                  its counterpart''. Comput. Statist. Data
                                  Anal., \bf 55, 2516--2524''  . . . . . . 180
           Waleed A. Yousef and   
                  Subrata Kundu   Learning algorithms may perform worse
                                  with increasing training set size:
                                  Algorithm--data incompatibility  . . . . 181--197
                   Chun Pan and   
                     Bo Cai and   
              Lianming Wang and   
                    Xiaoyan Lin   Bayesian semiparametric model for
                                  spatially correlated interval-censored
                                  survival data  . . . . . . . . . . . . . 198--208
             Chew-Seng Chee and   
                      Yong Wang   Least squares estimation of a
                                  $k$-monotone density function  . . . . . 209--216
              Songfeng Wang and   
               Jiajia Zhang and   
                      Wenbin Lu   Sample size calculation for the
                                  proportional hazards model with a
                                  time-dependent covariate . . . . . . . . 217--227


Computational Statistics & Data Analysis
Volume 75, Number ??, July, 2014

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi--vii
               Javad Rezaie and   
                     Jo Eidsvik   Kalman filter variants in the closed
                                  skew normal setting  . . . . . . . . . . 1--14
                 Ashwini Maurya   A joint convex penalty for inverse
                                  covariance matrix estimation . . . . . . 15--27
               Nabil Zougab and   
               Smail Adjabi and   
  Célestin C. Kokonendji   Bayesian estimation of adaptive
                                  bandwidth matrices in multivariate
                                  kernel density estimation  . . . . . . . 28--38
                     Yi Guo and   
                Mark Berman and   
                     Junbin Gao   Group subset selection for linear
                                  regression . . . . . . . . . . . . . . . 39--52
             Kyeong Eun Lee and   
                 Yongku Kim and   
                     Ronghui Xu   Bayesian variable selection under the
                                  proportional hazards mixed-effects model 53--65
                  Yihuan Xu and   
             Boris Iglewicz and   
                Inna Chervoneva   Robust estimation of the parameters of
                                  $g$- and $h$-distributions, with
                                  applications to outlier detection  . . . 66--80
              E. Loza-Reyes and   
                 M. A. Hurn and   
                    A. Robinson   Classification of molecular sequence
                                  data using Bayesian phylogenetic mixture
                                  models . . . . . . . . . . . . . . . . . 81--95
                 Mimi Zhang and   
                 Qingpei Hu and   
                    Min Xie and   
                         Dan Yu   Lower confidence limit for reliability
                                  based on grouped data using a
                                  quantile-filling algorithm . . . . . . . 96--111
          Masayuki Hirukawa and   
                    Mari Sakudo   Nonnegative bias reduction methods for
                                  density estimation using asymmetric
                                  kernels  . . . . . . . . . . . . . . . . 112--123
         Alicia Nieto-Reyes and   
Juan Antonio Cuesta-Albertos and   
                 Fabrice Gamboa   A random-projection based test of
                                  Gaussianity for stationary processes . . 124--141
           Daniela De Canditiis   A frame based shrinkage procedure for
                                  fast oscillating functions . . . . . . . 142--150
                   G. Rauch and   
                  M. Wirths and   
                      M. Kieser   Consistency-adjusted alpha allocation
                                  methods for a time-to-event analysis of
                                  composite endpoints  . . . . . . . . . . 151--161
              Tonglin Zhang and   
                         Ge Lin   Family of power divergence spatial scan
                                  statistics . . . . . . . . . . . . . . . 162--178
              Yen-Hung Chen and   
                   Nan-Jung Hsu   A frequency domain test for detecting
                                  nonstationary time series  . . . . . . . 179--189
                Julia Braun and   
Daniel Sabanés Bové and   
                  Leonhard Held   Choice of generalized linear mixed
                                  models using predictive crossvalidation  190--202
                 Alwin Stegeman   Finding the limit of diverging
                                  components in three-way
                                  Candecomp/Parafac --- a demonstration of
                                  its practical merits . . . . . . . . . . 203--216
          Maryam Safarkhani and   
                Mirjam Moerbeek   The influence of a covariate on optimal
                                  designs in longitudinal studies with
                                  discrete-time survival endpoints . . . . 217--226
            Sándor Baran   Probabilistic wind speed forecasting
                                  using Bayesian model averaging with
                                  truncated normal components  . . . . . . 227--238
               Zhengbang Li and   
                  Qizhai Li and   
              Chien-Pai Han and   
                          Bo Li   A hybrid approach for regression
                                  analysis with block missing data . . . . 239--247
          Mahdis Azadbakhsh and   
            Hanna Jankowski and   
                        Xin Gao   Computing confidence intervals for
                                  log-concave densities  . . . . . . . . . 248--264


Computational Statistics & Data Analysis
Volume 76, Number ??, August, 2014

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi--ix
  Erricos J. Kontoghiorghes and   
         Herman K. Van Dijk and   
           David A. Belsley and   
             Tim Bollerslev and   
         Francis X. Diebold and   
          Jean-Marie Dufour and   
               Robert Engle and   
              Andrew Harvey and   
           Siem Jan Koopman and   
             Hashem Pesaran and   
       Peter C. B. Phillips and   
           Richard J. Smith and   
                  Mike West and   
                  Qiwei Yao and   
        Alessandra Amendola and   
              Monica Billio and   
           Cathy W. S. Chen and   
             Carl Chiarella and   
                 Ana Colubi and   
           Manfred Deistler and   
           Christian Francq and   
                         others   CFEnetwork: the \booktitleAnnals of
                                  Computational and Financial
                                  Econometrics: 2nd Issue  . . . . . . . . 1--3
          Peter Martey Addo and   
              Monica Billio and   
        Dominique Guégan   The univariate MT-STAR model and a new
                                  linearity and unit root test procedure   4--19
      António Afonso and   
                Pedro Gomes and   
            Abderrahim Taamouti   Sovereign credit ratings, market
                                  volatility, and financial gains  . . . . 20--33
                 Philipp Andres   Maximum likelihood estimates for
                                  positive valued dynamic score models;
                                  The DySco package  . . . . . . . . . . . 34--42
              Francesco Audrino   Forecasting correlations during the
                                  late-2000s financial crisis: the
                                  short-run component, the long-run
                                  component, and structural breaks . . . . 43--60
             Maciej Augustyniak   Maximum likelihood estimation of the
                                  Markov-switching GARCH model . . . . . . 61--75
      Stéphane Auray and   
     Aurélien Eyquem and   
Frédéric Jouneau-Sion   Modeling tails of aggregate economic
                                  processes in a stochastic growth model   76--94
                Oualid Bada and   
                    Alois Kneip   Parameter cascading for panel models
                                  with unknown number of unobserved
                                  factors: an application to the credit
                                  spread puzzle  . . . . . . . . . . . . . 95--115
         Richard T. Baillie and   
          George Kapetanios and   
                Fotis Papailias   Modified information criteria and
                                  selection of long memory time series
                                  models . . . . . . . . . . . . . . . . . 116--131
         Christoph Bergmeir and   
           Mauro Costantini and   
  José M. Benítez   On the usefulness of cross-validation
                                  for directional forecast evaluation  . . 132--143
             Charles S. Bos and   
           Siem Jan Koopman and   
                    Marius Ooms   Long memory with stochastic variance
                                  model: a recursive analysis for US
                                  inflation  . . . . . . . . . . . . . . . 144--157
          Giorgio Calzolari and   
            Roxana Halbleib and   
             Alessandro Parrini   Estimating GARCH-type models with
                                  symmetric stable innovations: Indirect
                                  inference versus maximum likelihood  . . 158--171
       Massimiliano Caporin and   
                Michael McAleer   Robust ranking of multivariate GARCH
                                  models by problem dimension  . . . . . . 172--185
          Joshua C. C. Chan and   
                      Gary Koop   Modelling breaks and clusters in the
                                  steady states of macroeconomic variables 186--193
           Cathy W. S. Chen and   
            Richard Gerlach and   
               Edward M. H. Lin   Bayesian estimation of smoothly mixing
                                  time-varying parameter GARCH models  . . 194--209
Stéphane Chrétien and   
              Juan-Pablo Ortega   Multivariate GARCH estimation via a
                                  Bregman-proximal trust-region method . . 210--236
         Ignacio Diaz-Emparanza   Numerical distribution functions for
                                  seasonal unit root tests . . . . . . . . 237--247
                     Zaichao Du   Testing for serial independence of panel
                                  errors . . . . . . . . . . . . . . . . . 248--261
              Pedro Galeano and   
                   Dominik Wied   Multiple break detection in the
                                  correlation structure of random
                                  variables  . . . . . . . . . . . . . . . 262--282
            Marco Gallegati and   
            James B. Ramsey and   
                  Willi Semmler   Interest rate spreads and output: a time
                                  scale decomposition analysis using
                                  wavelets . . . . . . . . . . . . . . . . 283--290
              Kilani Ghoudi and   
         Bruno Rémillard   Comparison of specification tests for
                                  GARCH models . . . . . . . . . . . . . . 291--300
             Stefano Grassi and   
    Paolo Santucci de Magistris   When long memory meets the Kalman
                                  filter: a comparative study  . . . . . . 301--319
              Andrew Harvey and   
                Genaro Sucarrat   EGARCH models with fat tails, skewness
                                  and leverage . . . . . . . . . . . . . . 320--338
                Eunju Hwang and   
                  Dong Wan Shin   Infinite-order, long-memory
                                  heterogeneous autoregressive models  . . 339--358
            Stefan Jäschke   Estimation of risk measures in energy
                                  portfolios using modern copula
                                  techniques . . . . . . . . . . . . . . . 359--376
Deniz Dilan Karaman Örsal and   
                    Bernd Droge   Panel cointegration testing in the
                                  presence of a time trend . . . . . . . . 377--390
           Yiannis Karavias and   
                 Elias Tzavalis   Testing for unit roots in short panels
                                  allowing for a structural break  . . . . 391--407
             Gregor Kastner and   
Sylvia Frühwirth-Schnatter   Ancillarity-sufficiency interweaving
                                  strategy (ASIS) for boosting MCMC
                                  estimation of stochastic volatility
                                  models . . . . . . . . . . . . . . . . . 408--423
              Jan F. Kiviet and   
           Garry D. A. Phillips   Improved variance estimation of maximum
                                  likelihood estimators in stable
                                  first-order dynamic regression models    424--448
        Tore Selland Kleppe and   
               Roman Liesenfeld   Efficient importance sampling in mixture
                                  frameworks . . . . . . . . . . . . . . . 449--463
               Rachidi Kotchoni   The indirect continuous-GMM estimation   464--488
                   Rolf Larsson   A likelihood ratio type test for
                                  invertibility in moving average
                                  processes  . . . . . . . . . . . . . . . 489--501
            Luis F. Martins and   
          Paulo M. M. Rodrigues   Testing for persistence change in
                                  fractionally integrated models: an
                                  application to world inflation rates . . 502--522
                Aleksey Min and   
                  Claudia Czado   SCOMDY models based on pair-copula
                                  constructions with application to
                                  exchange rates . . . . . . . . . . . . . 523--535
               Henri Nyberg and   
               Pentti Saikkonen   Forecasting with a noncausal VAR model   536--555
          Gian Piero Aielli and   
           Massimiliano Caporin   Variance clustering improved dynamic
                                  conditional correlation MGARCH
                                  estimators . . . . . . . . . . . . . . . 556--576
            Jean-Yves Pitarakis   A joint test for structural stability
                                  and a unit root in autoregressions . . . 577--587
      Jeroen V. K. Rombouts and   
                  Lars Stentoft   Bayesian option pricing using mixed
                                  normal heteroskedasticity models . . . . 588--605
  André A. P. Santos and   
             Guilherme V. Moura   Dynamic factor multivariate GARCH model  606--617
         Shinichiro Shirota and   
              Takayuki Hizu and   
                 Yasuhiro Omori   Realized stochastic volatility with
                                  leverage and long memory . . . . . . . . 618--641
              Hans J. Skaug and   
                         Jun Yu   A flexible and automated likelihood
                                  based framework for inference in
                                  stochastic volatility models . . . . . . 642--654
              Mike K. P. So and   
             Cherry Y. T. Yeung   Vine-copula GARCH model with dynamic
                                  conditional dependence . . . . . . . . . 655--671
          Jakob Stöber and   
                  Claudia Czado   Regime switches in the dependence
                                  structure of multidimensional financial
                                  data . . . . . . . . . . . . . . . . . . 672--686
               J. H. Venter and   
                 P. J. de Jongh   Extended stochastic volatility models
                                  incorporating realised measures  . . . . 687--707
                  Fangfang Wang   Optimal design of Fourier estimator in
                                  the presence of microstructure noise . . 708--722
               Dominik Wied and   
             Herold Dehling and   
         Maarten van Kampen and   
                   Daniel Vogel   A fluctuation test for constant
                                  Spearman's rho with nuisance-free limit
                                  distribution . . . . . . . . . . . . . . 723--736
                 Yu-Min Yen and   
                   Tso-Jung Yen   Solving norm constrained portfolio
                                  optimization via coordinate-wise descent
                                  algorithms . . . . . . . . . . . . . . . 737--759


Computational Statistics & Data Analysis
Volume 77, Number ??, September, 2014

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi--vii
               Jingjing Yin and   
                      Lili Tian   Joint inference about sensitivity and
                                  specificity at the optimal cut-off point
                                  associated with Youden index . . . . . . 1--13
                   Fang Liu and   
                        Qing Li   Exact sequential test of equivalence
                                  hypothesis based on bivariate
                                  non-central $t$-statistics . . . . . . . 14--24
                 Fumin Shen and   
               Chunhua Shen and   
                  Rhys Hill and   
       Anton van den Hengel and   
                   Zhenmin Tang   Fast approximate $ L_\infty $
                                  minimization: Speeding up robust
                                  regression . . . . . . . . . . . . . . . 25--37
              Michael J. Brusco   A comparison of simulated annealing
                                  algorithms for variable selection in
                                  principal component analysis and
                                  discriminant analysis  . . . . . . . . . 38--53
      Konstantinos Perrakis and   
          Ioannis Ntzoufras and   
           Efthymios G. Tsionas   On the use of marginal posteriors in
                                  marginal likelihood estimation via
                                  importance sampling  . . . . . . . . . . 54--69
            Nazanin Nooraee and   
          Geert Molenberghs and   
        Edwin R. van den Heuvel   GEE for longitudinal ordinal data:
                                  Comparing R-geepack, R-multgee,
                                  R-repolr, SAS-GENMOD, SPSS-GENLIN  . . . 70--83
            Alberto Cozzini and   
                 Ajay Jasra and   
           Giovanni Montana and   
                   Adam Persing   A Bayesian mixture of lasso regressions
                                  with $t$-errors  . . . . . . . . . . . . 84--97
              Debasis Kundu and   
              Manuel Franco and   
               Juana-Maria Vivo   Multivariate distributions with
                                  proportional reversed hazard marginals   98--112
            Nian-Sheng Tang and   
                An-Min Tang and   
                  Dong-Dong Pan   Semiparametric Bayesian joint models of
                                  multivariate longitudinal and survival
                                  data . . . . . . . . . . . . . . . . . . 113--129
         Pedro Terán and   
Miguel López-Díaz   Strong consistency and rates of
                                  convergence for a random estimator of a
                                  fuzzy set  . . . . . . . . . . . . . . . 130--145
                   Q. Zhang and   
                       E. H. Ip   Variable assessment in latent class
                                  models . . . . . . . . . . . . . . . . . 146--156
               Shi-Fang Qiu and   
                  G. Y. Zou and   
                   Man-Lai Tang   Sample size determination for estimating
                                  prevalence and a difference between two
                                  prevalences of sensitive attributes
                                  using the non-randomized triangular
                                  design . . . . . . . . . . . . . . . . . 157--169
               Chaojiang Wu and   
                         Yan Yu   Partially linear modeling of conditional
                                  quantiles using penalized splines  . . . 170--187
                    Omer Ozturk   Statistical inference for population
                                  quantiles and variance in judgment
                                  post-stratified samples  . . . . . . . . 188--205
                       L. Doyen   Semi-parametric estimation of
                                  Brown--Proschan preventive maintenance
                                  effects and intrinsic wear-out . . . . . 206--222
                 Ujjwal Das and   
               Sudhir Gupta and   
                    Shuva Gupta   Screening active factors in
                                  supersaturated designs . . . . . . . . . 223--232
          Eike C. Brechmann and   
                      Harry Joe   Parsimonious parameterization of
                                  correlation matrices using truncated
                                  vines and factor analysis  . . . . . . . 233--251
            Changzhang Wang and   
                   You Zhou and   
                 Qiang Zhao and   
                       Zhi Geng   Discovering and orienting the edges
                                  connected to a target variable in a DAG
                                  via a sequential local learning approach 252--266
          Sebastian Schweer and   
        Christian H. Weiß   Compound Poisson INAR(1) processes:
                                  Stochastic properties and testing for
                                  overdispersion . . . . . . . . . . . . . 267--284
                 R. Coudret and   
                  S. Girard and   
                     J. Saracco   A new sliced inverse regression method
                                  for multivariate response  . . . . . . . 285--299
          Chiara Gigliarano and   
              Silvia Figini and   
                 Pietro Muliere   Making classifier performance
                                  comparisons when ROC curves intersect    300--312
               Sungwoo Choi and   
                   Junyong Park   Nonparametric additive model with
                                  grouped lasso and maximizing area under
                                  the ROC curve  . . . . . . . . . . . . . 313--325
            Paula M. Murray and   
             Ryan P. Browne and   
             Paul D. McNicholas   Mixtures of skew-$t$ factor analyzers    326--335
     Linn Cecilie Bergersen and   
  Kukatharmini Tharmaratnam and   
                 Ingrid K. Glad   Monotone splines lasso . . . . . . . . . 336--351
          Max Sousa de Lima and   
          Luiz Henrique Duczmal   Adaptive likelihood ratio approaches for
                                  the detection of space--time disease
                                  clusters . . . . . . . . . . . . . . . . 352--370
              Xiaolin Huang and   
                    Lei Shi and   
        Kristiaan Pelckmans and   
            Johan A. K. Suykens   Asymmetric $ \nu $-tube support vector
                                  regression . . . . . . . . . . . . . . . 371--382


Computational Statistics & Data Analysis
Volume 78, Number ??, October, 2014

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi--vii
          Lindsay A. Renfro and   
                   Qian Shi and   
                   Yuan Xue and   
                 Junlong Li and   
              Hongwei Shang and   
              Daniel J. Sargent   Center-within-trial versus trial-level
                                  evaluation of surrogate endpoints  . . . 1--20
          Raúl Gouet and   
     F. Javier López and   
          Lina P. Maldonado and   
                   Gerardo Sanz   Statistical inference for the geometric
                                  distribution based on $ \delta $-records 21--32
      V. M. Lourenço and   
                    A. M. Pires   M-regression, false discovery rates and
                                  outlier detection with application to
                                  genetic association studies  . . . . . . 33--42
                     Lin Xu and   
                 Baisen Liu and   
              Shurong Zheng and   
                    Shaokun Bao   Testing proportionality of two
                                  large-dimensional covariance matrices    43--55
      Luis Gutiérrez and   
Eduardo Gutiérrez-Peña and   
          Ramsés H. Mena   Bayesian nonparametric classification
                                  for spectroscopy data  . . . . . . . . . 56--68
       Tahani Coolen-Maturi and   
         Faiza F. Elkhafifi and   
             Frank P. A. Coolen   Three-group ROC analysis: a
                                  nonparametric predictive approach  . . . 69--81
                S. Trevezas and   
                S. Malefaki and   
           P.-H. Cournêde   Parameter estimation via stochastic
                                  variants of the ECM algorithm with
                                  applications to plant growth modeling    82--99
            Marica Manisera and   
               Paola Zuccolotto   Modeling rating data with Nonlinear CUB
                                  models . . . . . . . . . . . . . . . . . 100--118
              Xianlong Wang and   
                       Annie Qu   Efficient classification for
                                  longitudinal data  . . . . . . . . . . . 119--134
             Kouji Yamamoto and   
             Hidetoshi Murakami   Model based on skew normal distribution
                                  for square contingency tables with
                                  ordinal categories . . . . . . . . . . . 135--140
          Alicia A. Johnson and   
                James M. Flegal   A modified conditional
                                  Metropolis--Hastings sampler . . . . . . 141--152
           Pavel O. Smirnov and   
           Georgy L. Shevlyakov   Fast highly efficient and robust
                                  one-step $M$-estimators of scale based
                                  on $ Q_n$  . . . . . . . . . . . . . . . 153--158
                 Emily Berg and   
                  Hukum Chandra   Small area prediction for a unit-level
                                  lognormal model  . . . . . . . . . . . . 159--175
               Hidetoshi Matsui   Variable and boundary selection for
                                  functional data via multiclass logistic
                                  regression modeling  . . . . . . . . . . 176--185
              Zhenghui Feng and   
                   Tao Wang and   
                     Lixing Zhu   Transformation-based estimation  . . . . 186--205
                 Kaibo Wang and   
              Arthur B. Yeh and   
                          Bo Li   Simultaneous monitoring of process mean
                                  vector and covariance matrix via
                                  penalized likelihood estimation  . . . . 206--217
                Xibin Zhang and   
            Maxwell L. King and   
                  Han Lin Shang   A sampling algorithm for bandwidth
                                  estimation in a nonparametric regression
                                  model with a flexible error density  . . 218--234
            David I. Harvey and   
       Stephen J. Leybourne and   
            A. M. Robert Taylor   On infimum Dickey--Fuller unit root
                                  tests allowing for a trend break under
                                  the null . . . . . . . . . . . . . . . . 235--242


Computational Statistics & Data Analysis
Volume 79, Number ??, November, 2014

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi--vii
         Jordi Marés and   
                 Natalie Shlomo   Data privacy using an evolutionary
                                  algorithm for invariant PRAM matrices    1--13
              Chiun-How Kao and   
               Junji Nakano and   
            Sheau-Hue Shieh and   
              Yin-Jing Tien and   
                Han-Ming Wu and   
             Chuan-kai Yang and   
                 Chun-houh Chen   Exploratory data analysis of
                                  interval-valued symbolic data with
                                  matrix visualization . . . . . . . . . . 14--29
  Pablo Martínez-Camblor   On correlated $z$-values distribution in
                                  hypothesis testing . . . . . . . . . . . 30--43
                Weihua Zhao and   
               Riquan Zhang and   
                      Jicai Liu   Regularization and model selection for
                                  quantile varying coefficient model with
                                  categorical effect modifiers . . . . . . 44--62
          Pathé Ndao and   
                 Aliou Diop and   
     Jean-François Dupuy   Nonparametric estimation of the
                                  conditional tail index and extreme
                                  quantiles under random censoring . . . . 63--79
            Nicola Lunardon and   
              Elvezio Ronchetti   Composite likelihood inference by
                                  nonparametric saddlepoint tests  . . . . 80--90
                Cuizhen Niu and   
                     Xu Guo and   
                  Wangli Xu and   
                     Lixing Zhu   Empirical likelihood inference in linear
                                  regression with nonignorable missing
                                  response . . . . . . . . . . . . . . . . 91--112
                     Wei Gu and   
                   Hulin Wu and   
                Hongyu Miao and   
                     Hongqi Xue   Parameter estimation for a type of
                                  nonlinear stochastic models observed
                                  with error . . . . . . . . . . . . . . . 113--119
                 Kei Hirose and   
                Michio Yamamoto   Estimation of an oblique structure via
                                  penalized likelihood factor analysis . . 120--132
            Michio Yamamoto and   
               Yoshikazu Terada   Functional factorial $K$-means analysis  133--148
                  M. Bourel and   
                 R. Fraiman and   
                     B. Ghattas   Random average shifted histograms  . . . 149--164
                  K. F. Lam and   
                   Kin-Yau Wong   Semiparametric analysis of clustered
                                  interval-censored survival data with a
                                  cure fraction  . . . . . . . . . . . . . 165--174
        Víctor Leiva and   
               Helton Saulo and   
       Jeremias Leão and   
              Carolina Marchant   A family of autoregressive conditional
                                  duration models applied to financial
                                  data . . . . . . . . . . . . . . . . . . 175--191
         Freedom N. Gumedze and   
             Tinashe D. Chatora   Detection of outliers in longitudinal
                                  count data via overdispersion  . . . . . 192--202
                  Xinxin Li and   
                    Lili Mo and   
              Xiaoming Yuan and   
                Jianzhong Zhang   Linearized alternating direction method
                                  of multipliers for sparse group and
                                  fused LASSO models . . . . . . . . . . . 203--221
          Travis A. O'Brien and   
         William D. Collins and   
           Sara A. Rauscher and   
                Todd D. Ringler   Reducing the computational cost of the
                                  ECF using a nuFFT: a fast and objective
                                  probability density estimation method    222--234
                 L. Q. Xiao and   
                     B. Hou and   
                 Z. F. Wang and   
                       Y. H. Wu   Random weighting approximation for Tobit
                                  regression models with longitudinal data 235--247
                D. R. Costa and   
               V. H. Lachos and   
                J. L. Bazan and   
               C. L. N. Azevedo   Estimation methods for multivariate
                                  Tobit confirmatory factor analysis . . . 248--260
                 Huiping Wu and   
               Ka-Veng Yuen and   
                 Shing-On Leung   A novel relative entropy--posterior
                                  predictive model checking approach with
                                  limited information statistics for
                                  latent trait models in sparse $ 2^k $
                                  contingency tables . . . . . . . . . . . 261--276
                 Junni L. Zhang   Comparative investigation of three
                                  Bayesian $p$ values  . . . . . . . . . . 277--291


Computational Statistics & Data Analysis
Volume 80, Number ??, December, 2014

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi--vii
              Filidor Vilca and   
            N. Balakrishnan and   
          Camila Borelli Zeller   The bivariate Sinh--Elliptical
                                  distribution with applications to
                                  Birnbaum--Saunders distribution and
                                  associated regression and measurement
                                  error models . . . . . . . . . . . . . . 1--16
             Julie Horrocks and   
                Matthew Rueffer   A Bayesian approach to estimating animal
                                  density from binary acoustic transects   17--25
 Michal Çerný and   
            Milan Hladík   The complexity of computation and
                                  approximation of the $t$-ratio over
                                  one-dimensional interval data  . . . . . 26--43
                 Jiwon Kang and   
                   Sangyeol Lee   Minimum density power divergence
                                  estimator for Poisson autoregressive
                                  models . . . . . . . . . . . . . . . . . 44--56
            Thu Thuy Nguyen and   
           France Mentré   Evaluation of the Fisher information
                                  matrix in nonlinear mixed effect models
                                  using adaptive Gaussian quadrature . . . 57--69
                 Jianwen Xu and   
                   You-Gan Wang   Intra-cluster correlation structure in
                                  longitudinal data analysis: Selection
                                  criteria and misspecification tests  . . 70--77
               Shaoceng Wei and   
                    Liou Xu and   
             Richard J. Kryscio   Markov transition model to dementia with
                                  death as a competing event . . . . . . . 78--88
              Kung-Jong Lui and   
      William G. Cumberland and   
               Kuang-Chao Chang   Notes on testing equality in binary data
                                  under a three period crossover design    89--98
            F. Din-Houn Lau and   
                     Axel Gandy   RMCMC: a system for updating Bayesian
                                  models . . . . . . . . . . . . . . . . . 99--110
               Keunbaik Lee and   
                   Jae Keun Yoo   Bayesian Cholesky factor models in
                                  random effects covariance matrix for
                                  generalized linear mixed models  . . . . 111--116
                Eric C. Chi and   
                  Kenneth Lange   Stable estimation of a covariance matrix
                                  guided by nuclear norm penalties . . . . 117--128
             A. Hapfelmeier and   
                         K. Ulm   Variable selection by Random Forests
                                  using data with missing values . . . . . 129--139
             Xiaoguang Wang and   
                    Xinyong Shi   Robust estimation for survival partially
                                  linear single-index models . . . . . . . 140--152
               Yves Auffray and   
           Pierre Barbillon and   
              Jean-Michel Marin   Bounding rare event probabilities in
                                  computer experiments . . . . . . . . . . 153--166
                Genya Kobayashi   A transdimensional approximate Bayesian
                                  computation using the pseudo-marginal
                                  approach for model choice  . . . . . . . 167--183
           Mark W. Donoghoe and   
               Ian C. Marschner   Stable computational methods for
                                  additive binomial models with
                                  application to adjusted risk differences 184--196
                  Heng Lian and   
                    Pang Du and   
               YuanZhang Li and   
                      Hua Liang   Partially linear structure
                                  identification in generalized additive
                                  models with NP-dimensionality  . . . . . 197--208
             Florian Rohart and   
       Magali San Cristobal and   
        Béatrice Laurent   Selection of fixed effects in high
                                  dimensional linear mixed models using a
                                  multicycle ECM algorithm . . . . . . . . 209--222
               Kaifeng Zhao and   
                      Heng Lian   Variational inferences for partially
                                  linear additive models with variable
                                  selection  . . . . . . . . . . . . . . . 223--239
                  Fei Xiang and   
                     Peter Neal   Efficient MCMC for temporal epidemics
                                  via parameter reduction  . . . . . . . . 240--250


Computational Statistics & Data Analysis
Volume 81, Number ??, January, 2015

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--vi
                      Anonymous   Contents . . . . . . . . . . . . . . . . vii
                   Yang Han and   
                    Wei Liu and   
                Frank Bretz and   
                       Fang Wan   Simultaneous confidence bands for a
                                  percentile line in linear regression . . 1--9
           Theo K. Dijkstra and   
             Jörg Henseler   Consistent and asymptotically normal PLS
                                  estimators for linear structural
                                  equations  . . . . . . . . . . . . . . . 10--23
           Nicolas Raillard and   
              Marc Prevosto and   
                 Pierre Ailliot   Modeling process asymmetries with
                                  Laplace moving average . . . . . . . . . 24--37
                Karen Fuchs and   
             Fabian Scheipl and   
                   Sonja Greven   Penalized scalar-on-functions regression
                                  with interaction term  . . . . . . . . . 38--51
             Stefano Cabras and   
  Maria Eugenia Castellanos and   
                   Silvia Perra   A new minimal training sample scheme for
                                  intrinsic Bayes factors in censored data 52--63
                 Mia Hubert and   
            Peter Rousseeuw and   
             Dina Vanpaemel and   
                   Tim Verdonck   The DetS and DetMM estimators for
                                  multivariate location and scatter  . . . 64--75
                Joyee Ghosh and   
                      Aixin Tan   Sandwich algorithms for Bayesian
                                  variable selection . . . . . . . . . . . 76--88
          Diana L. Martinez and   
            Dachuan T. Shih and   
        Victoria C. P. Chen and   
                 Seoung Bum Kim   A convex version of multivariate
                                  adaptive regression splines  . . . . . . 89--106
            Kofi P. Adragni and   
               Moumita Karmakar   A sequential test for variable selection
                                  in high dimensional complex data . . . . 107--120
            Bodhisattva Sen and   
                     Gongjun Xu   Model based bootstrap methods for
                                  interval censored data . . . . . . . . . 121--129
              Kung-Jong Lui and   
               Kuang-Chao Chang   Test and estimation in binary data
                                  analysis under an incomplete block
                                  crossover design . . . . . . . . . . . . 130--138


Computational Statistics & Data Analysis
Volume 82, Number ??, February, 2015

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--vi
                      Anonymous   Contents . . . . . . . . . . . . . . . . vii--viii
                  Zhao Yang and   
                      Ming Zhou   Weighted kappa statistic for clustered
                                  matched-pair ordinal data  . . . . . . . 1--18
         S. H. Feizjavadian and   
                     R. Hashemi   Analysis of dependent competing risks in
                                  the presence of progressive hybrid
                                  censoring using Marshall--Olkin
                                  bivariate Weibull distribution . . . . . 19--34
          A. James O'Malley and   
                  Sudeshna Paul   Using retrospective sampling to estimate
                                  models of relationship status in large
                                  longitudinal social networks . . . . . . 35--46
                   Miao-Yu Tsai   Comparison of concordance correlation
                                  coefficient via variance components,
                                  generalized estimating equations and
                                  weighted approaches with model selection 47--58
                K. Y. K. Wu and   
                       W. K. Li   Double Generalized Threshold Models with
                                  constraint on the dispersion by the mean 59--73
                    Jing Lv and   
                    Hu Yang and   
                    Chaohui Guo   An efficient and robust variable
                                  selection method for longitudinal
                                  generalized linear models  . . . . . . . 74--88
                Seppo Pulkkinen   Ridge-based method for finding
                                  curvilinear structures from noisy data   89--109
               Junyong Park and   
                    DoHwan Park   Stein's method in high dimensional
                                  classification and applications  . . . . 110--125
      Luis Gustavo B. Pinho and   
    Juvêncio S. Nobre and   
                Julio M. Singer   Cook's distance for generalized linear
                                  mixed models . . . . . . . . . . . . . . 126--136
          Davide La Vecchia and   
          Lorenzo Camponovo and   
                 Davide Ferrari   Robust heart rate variability analysis
                                  by generalized entropy minimization  . . 137--151
            Bethany J. Wolf and   
         Elizabeth H. Slate and   
              Elizabeth G. Hill   Ordinal Logic Regression: a classifier
                                  for discovering combinations of binary
                                  markers for ordinal outcomes . . . . . . 152--163
               Tung-Lung Wu and   
                    Joseph Glaz   A new adaptive procedure for multiple
                                  window scan statistics . . . . . . . . . 164--172
          Danielle Sullivan and   
               Rebecca Andridge   A hot deck imputation procedure for
                                  multiply imputing nonignorable missing
                                  data: the proxy pattern-mixture hot deck 173--185
                 Xiwei Chen and   
              Albert Vexler and   
             Marianthi Markatou   Empirical likelihood ratio confidence
                                  interval estimation of best linear
                                  combinations of biomarkers . . . . . . . 186--198
               Oscar Dalmau and   
   Teresa E. Alarcón and   
       Graciela González   Kernel multilogit algorithm for
                                  multiclass classification  . . . . . . . 199--206
               Gerhard Tutz and   
Wolfgang Pößnecker and   
                 Lorenz Uhlmann   Variable selection in general
                                  multinomial logit models . . . . . . . . 207--222
            M. Ivette Gomes and   
 M. Fátima Brilhante and   
           Frederico Caeiro and   
                  Dinis Pestana   A new partially reduced-bias
                                  mean-of-order $p$ class of extreme value
                                  index estimators . . . . . . . . . . . . 223--237


Computational Statistics & Data Analysis
Volume 83, Number ??, March, 2015

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--vi
                      Anonymous   Contents . . . . . . . . . . . . . . . . vii--viii
              Dongjun Chung and   
                  Hyunjoong Kim   Accurate ensemble pruning with
                                  PL-bagging . . . . . . . . . . . . . . . 1--13
                Eunju Hwang and   
                  Dong Wan Shin   Stationary bootstrapping for
                                  semiparametric panel unit root tests . . 14--25
             Bing Xing Wang and   
                   Zhi-Sheng Ye   Inference on the Weibull distribution
                                  based on record values . . . . . . . . . 26--36
         Victor De Oliveira and   
                 Bazoumana Kone   Prediction intervals for integrals of
                                  Gaussian random fields . . . . . . . . . 37--51
                  Jun Zhang and   
                 Gaorong Li and   
                  Zhenghui Feng   Checking the adequacy for a distortion
                                  errors-in-variables parametric
                                  regression model . . . . . . . . . . . . 52--64
     Marcus C. Christiansen and   
           Andreas Niemeyer and   
      Lucia Teigiszerová   Modeling and forecasting
                                  duration-dependent mortality rates . . . 65--81
                    Mireya Diaz   Performance measures of the bivariate
                                  random effects model for meta-analyses
                                  of diagnostic accuracy . . . . . . . . . 82--90
        Ritwik Bhattacharya and   
         Biswabrata Pradhan and   
                   Anup Dewanji   Computation of optimum reliability
                                  acceptance sampling plans in presence of
                                  hybrid censoring . . . . . . . . . . . . 91--100
        Isambi S. Mbalawata and   
      Simo Särkkä and   
               Matti Vihola and   
                  Heikki Haario   Adaptive Metropolis algorithm using
                                  variational Bayesian adaptive Kalman
                                  filter . . . . . . . . . . . . . . . . . 101--115
          Joan del Castillo and   
                   Isabel Serra   Likelihood inference for generalized
                                  Pareto distribution  . . . . . . . . . . 116--128
             Mohamed Hanafi and   
       Samia Samar Ouertani and   
             Julien Boccard and   
   Gérard Mazerolles and   
                    Serge Rudaz   Multi-way PLS regression: Monotony
                                  convergence of tri-linear PLS2 and
                                  optimality of parameters . . . . . . . . 129--139
               Naichen Wang and   
              Lianming Wang and   
         Christopher S. McMahan   Regression analysis of bivariate current
                                  status data under the Gamma-frailty
                                  proportional hazards model using the EM
                                  algorithm  . . . . . . . . . . . . . . . 140--150
              Fangyuan Kang and   
                Liuquan Sun and   
                   Xingqiu Zhao   A class of transformed hazards models
                                  for recurrent gap times  . . . . . . . . 151--167
             Staci A. White and   
                    Radu Herbei   A Monte Carlo approach to quantifying
                                  model error in Bayesian parameter
                                  estimation . . . . . . . . . . . . . . . 168--181
              Daniel Peavoy and   
    Christian L. E. Franzke and   
              Gareth O. Roberts   Systematic physics constrained parameter
                                  estimation of stochastic differential
                                  equations  . . . . . . . . . . . . . . . 182--199
                    Yin Liu and   
                 Guo-Liang Tian   Type $I$ multivariate zero-inflated
                                  Poisson distribution with applications   200--222
                   Wan-Lun Wang   Mixtures of common $t$-factor analyzers
                                  for modeling high-dimensional data with
                                  missing values . . . . . . . . . . . . . 223--235
                 Dehan Kong and   
          Howard D. Bondell and   
                      Yichao Wu   Domain selection for the varying
                                  coefficient model via local polynomial
                                  regression . . . . . . . . . . . . . . . 236--250
              Anestis Touloumis   Nonparametric Stein-type shrinkage
                                  covariance matrix estimators in
                                  high-dimensional settings  . . . . . . . 251--261
         Ricardo A. Maronna and   
                Victor J. Yohai   High finite-sample efficiency and
                                  robustness based on distance-constrained
                                  maximum likelihood . . . . . . . . . . . 262--274
                Yingying Ma and   
                    Wei Lan and   
                  Hansheng Wang   Testing predictor significance with
                                  ultra high dimensional multivariate
                                  responses  . . . . . . . . . . . . . . . 275--286
       Francesco Bartolucci and   
       Giorgio E. Montanari and   
                Silvia Pandolfi   Three-step estimation of latent Markov
                                  models with covariates . . . . . . . . . 287--301


Computational Statistics & Data Analysis
Volume 84, Number ??, April, 2015

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--vi
                      Anonymous   Contents . . . . . . . . . . . . . . . . vii
    Ingrid Hobæk Haff and   
                   Johan Segers   Nonparametric estimation of pair-copula
                                  constructions with the empirical
                                  pair-copula  . . . . . . . . . . . . . . 1--13
                  Marco Bee and   
              Giuseppe Espa and   
                 Diego Giuliani   Approximate maximum likelihood
                                  estimation of the autologistic model . . 14--26
                   Karel Klouda   An exact polynomial time algorithm for
                                  computing the least trimmed squares
                                  estimate . . . . . . . . . . . . . . . . 27--40
                    Liya Fu and   
               You-Gan Wang and   
                        Min Zhu   A Gaussian pseudolikelihood approach for
                                  quantile regression with repeated
                                  measurements . . . . . . . . . . . . . . 41--53
                   Libo Sun and   
                Chihoon Lee and   
            Jennifer A. Hoeting   A penalized simulated maximum likelihood
                                  approach in parameter estimation for
                                  stochastic differential equations  . . . 54--67
            Claude Manté   Iterated Bernstein operators for
                                  distribution function and density
                                  estimation: Balancing between the number
                                  of iterations and the polynomial degree  68--84
                    Wei Liu and   
                   Bo Zhang and   
               Zhiwei Zhang and   
              Baojiang Chen and   
                  Xiao-Hua Zhou   A pseudo-likelihood approach for
                                  estimating diagnostic accuracy of
                                  multiple binary medical tests  . . . . . 85--98
               Woosung Jang and   
               Huixia Judy Wang   A semiparametric Bayesian approach for
                                  joint-quantile regression with clustered
                                  data . . . . . . . . . . . . . . . . . . 99--115
               Wai-Yin Poon and   
               Shi-Fang Qiu and   
                   Man-Lai Tang   Confidence interval construction for the
                                  Youden index based on partially
                                  validated series . . . . . . . . . . . . 116--134
                 Jieli Ding and   
             Guo-Liang Tian and   
                 Kam Chuen Yuen   A new MM algorithm for constrained
                                  estimation in the proportional hazards
                                  model  . . . . . . . . . . . . . . . . . 135--151


Computational Statistics & Data Analysis
Volume 85, Number ??, May, 2015

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--vi
                      Anonymous   Contents . . . . . . . . . . . . . . . . vii
                 I. Gijbels and   
                    I. Vrinssen   Robust nonnegative garrote variable
                                  selection in linear regression . . . . . 1--22
              Kean Ming Tan and   
             Daniela Witten and   
                    Ali Shojaie   The cluster graphical lasso for improved
                                  estimation of Gaussian graphical models  23--36
          Paul W. Bernhardt and   
               Daowen Zhang and   
               Huixia Judy Wang   A fast EM algorithm for fitting joint
                                  models of a binary response and multiple
                                  longitudinal covariates subject to
                                  detection limits . . . . . . . . . . . . 37--53
               Maiying Kong and   
                   Sheng Xu and   
             Steven M. Levy and   
                  Somnath Datta   GEE type inference for clustered
                                  zero-inflated negative binomial
                                  regression with application to dental
                                  caries . . . . . . . . . . . . . . . . . 54--66
            Kevin K. Dobbin and   
                Alexei C. Ionan   Sample size methods for constructing
                                  confidence intervals for the intra-class
                                  correlation coefficient  . . . . . . . . 67--83
                     J. Lee and   
                     Y. Fan and   
                   S. A. Sisson   Bayesian threshold selection for
                                  extremal models using measures of
                                  surprise . . . . . . . . . . . . . . . . 84--99


Computational Statistics & Data Analysis
Volume 86, Number ??, June, 2015

               Sangyeol Lee and   
                     Haejune Oh   Entropy test and residual empirical
                                  process for autoregressive conditional
                                  duration models  . . . . . . . . . . . . 1--12
                  Qinqin Hu and   
                  Peng Zeng and   
                         Lu Lin   The dual and degrees of freedom of
                                  linearly constrained generalized lasso   13--26
          Matthew T. Moores and   
       Catriona E. Hargrave and   
             Timothy Deegan and   
            Michael Poulsen and   
               Fiona Harden and   
               Kerrie Mengersen   An external field prior for the hidden
                                  Potts model with application to
                                  cone-beam computed tomography  . . . . . 27--41
                   Hong Zhu and   
                          Bo Lu   Multiple comparisons for survival data
                                  with propensity score adjustment . . . . 42--51
           Adrian W. Bowman and   
           Stanislav Katina and   
               Joanna Smith and   
                   Denise Brown   Anatomical curve identification  . . . . 52--64
           Reto Bürgin and   
              Gilbert Ritschard   Tree-based varying coefficient
                                  regression for longitudinal ordinal
                                  responses  . . . . . . . . . . . . . . . 65--80
                 Rong Zhang and   
             Brett A. Inder and   
                    Xibin Zhang   Bayesian estimation of a discrete
                                  response model with double rules of
                                  sample selection . . . . . . . . . . . . 81--96
        Oksana A. Chkrebtii and   
            Erin K. Cameron and   
          David A. Campbell and   
                  Erin M. Bayne   Transdimensional approximate Bayesian
                                  computation for inference on invasive
                                  species models with latent variables of
                                  unknown dimension  . . . . . . . . . . . 97--110
                      Anonymous   Contents . . . . . . . . . . . . . . . . ibc--ibc
                      Anonymous   Editorial Board  . . . . . . . . . . . . ibc--ibc


Computational Statistics & Data Analysis
Volume 87, Number ??, July, 2015

                  Zhao Yang and   
                      Ming Zhou   Kappa statistic for clustered
                                  physician--patients polytomous data  . . 1--17
       I. Barranco-Chamorro and   
M. D. Jiménez-Gamero and   
        J. A. Mayor-Gallego and   
           J. L. Moreno-Rebollo   A case-deletion diagnostic for penalized
                                  calibration estimators and BLUP under
                                  linear mixed models in survey sampling   18--33
                Yurong Chen and   
                Yanqin Feng and   
                    Jianguo Sun   Regression analysis of multivariate
                                  current status data with auxiliary
                                  covariates under the additive hazards
                                  model  . . . . . . . . . . . . . . . . . 34--45
                     Yi Niu and   
                   Yingwei Peng   A new estimating equation approach for
                                  marginal hazard ratio estimation . . . . 46--56
               Anna Klimova and   
             Caroline Uhler and   
             Tamás Rudas   Faithfulness and learning hypergraphs
                                  from discrete distributions  . . . . . . 57--72
          Charlotte C. Gard and   
             Elizabeth R. Brown   A Bayesian hierarchical model for
                                  estimating and partitioning Bernstein
                                  polynomial density functions . . . . . . 73--83
                  Yang Tang and   
             Ryan P. Browne and   
             Paul D. McNicholas   Model based clustering of
                                  high-dimensional binary data . . . . . . 84--101
Guillermo Vinuéand Irene Epifanio and   
                 Sandra Alemany   Archetypoids: a new approach to define
                                  representative archetypal data . . . . . 102--115
                   Dalei Yu and   
                   Peng Bai and   
                     Chang Ding   Adjusted quasi-maximum likelihood
                                  estimator for mixed regressive, spatial
                                  autoregressive model and its small
                                  sample bias  . . . . . . . . . . . . . . 116--135
                      Anonymous   Contents . . . . . . . . . . . . . . . . ibc--ibc
                      Anonymous   Editorial Board  . . . . . . . . . . . . ibc--ibc


Computational Statistics & Data Analysis
Volume 88, Number ??, August, 2015

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--vi
                      Anonymous   Contents . . . . . . . . . . . . . . . . vii--viii
                  G. Rajesh and   
         E. I. Abdul-Sathar and   
                        R. Maya   Local linear estimation of residual
                                  entropy function of conditional
                                  distributions  . . . . . . . . . . . . . 1--14
                  Wenbao Yu and   
                   Taesung Park   Two simple algorithms on linear
                                  combination of multiple biomarkers to
                                  maximize partial area under the ROC
                                  curve  . . . . . . . . . . . . . . . . . 15--27
          Jakob Stöber and   
       Hyokyoung Grace Hong and   
              Claudia Czado and   
                    Pulak Ghosh   Comorbidity of chronic diseases in the
                                  elderly: Patterns identified by a copula
                                  design for mixed responses . . . . . . . 28--39
         Smitha Ankinakatte and   
                  David Edwards   Modelling discrete longitudinal data
                                  using acyclic probabilistic finite
                                  automata . . . . . . . . . . . . . . . . 40--52
                     Wei Fu and   
            Jeffrey S. Simonoff   Unbiased regression trees for
                                  longitudinal and clustered data  . . . . 53--74
          Alireza S. Mahani and   
       Mansour T. A. Sharabiani   SIMD parallel MCMC sampling with
                                  applications for big-data Bayesian
                                  analytics  . . . . . . . . . . . . . . . 75--99
             Lingsong Zhang and   
                     Shu Lu and   
                   J. S. Marron   Nested nonnegative cone analysis . . . . 100--110
       Bingo Wing-Kuen Ling and   
       Charlotte Yuk-Fan Ho and   
                Wan-Chi Siu and   
                    Qingyun Dai   Best linear near unbiased estimation for
                                  nonlinear signal models via
                                  semi-infinite programming approach . . . 111--118
                 Yanzhu Lin and   
                  Min Zhang and   
                    Dabao Zhang   Generalized orthogonal components
                                  regression for high dimensional
                                  generalized linear models  . . . . . . . 119--127
     Mercedes Conde-Amboage and   
César Sánchez-Sellero and   
Wenceslao González-Manteiga   A lack-of-fit test for quantile
                                  regression models with high-dimensional
                                  covariates . . . . . . . . . . . . . . . 128--138
               Jianhua Zhao and   
                  Libin Jin and   
                        Lei Shi   Mixture model selection via hierarchical
                                  BIC  . . . . . . . . . . . . . . . . . . 139--153
                Shangyu Xie and   
             Alan T. K. Wan and   
                      Yong Zhou   Quantile regression methods with
                                  varying-coefficient models for censored
                                  data . . . . . . . . . . . . . . . . . . 154--172
             Moon-tong Chan and   
                   Dalei Yu and   
               Kelvin K. W. Yau   Multilevel cumulative logistic
                                  regression model with random effects:
                                  Application to British social attitudes
                                  panel survey data  . . . . . . . . . . . 173--186
             Subhadeep Paul and   
             Ayanendranath Basu   On second order efficient robust
                                  inference  . . . . . . . . . . . . . . . 187--207


Computational Statistics & Data Analysis
Volume 89, Number ??, September, 2015

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi--vii
           Bruce J. Swihart and   
          Naresh M. Punjabi and   
         Ciprian M. Crainiceanu   Modeling sleep fragmentation in sleep
                                  hypnograms: an instance of fast,
                                  scalable discrete-state, discrete-time
                                  analyses . . . . . . . . . . . . . . . . 1--11
                     Duy Vu and   
                  Murray Aitkin   Variational algorithms for biclustering
                                  models . . . . . . . . . . . . . . . . . 12--24
               Yanfeng Shen and   
                   Zhengyan Lin   An adaptive test for the mean vector in
                                  large-$p$-small-$n$ problems . . . . . . 25--38
                    Peng Ye and   
               Xingqiu Zhao and   
                Liuquan Sun and   
                         Wei Xu   A semiparametric additive rates model
                                  for multivariate recurrent events with
                                  missing event categories . . . . . . . . 39--50
                  Qing Wang and   
               Bruce G. Lindsay   Improving cross-validated bandwidth
                                  selection using
                                  subsampling-extrapolation techniques . . 51--71
              Hideitsu Hino and   
          Kensuke Koshijima and   
                  Noboru Murata   Non-parametric entropy estimators based
                                  on simple linear regression  . . . . . . 72--84
                 Yuzhu Tian and   
               Qianqian Zhu and   
                    Maozai Tian   Estimation for mixed exponential
                                  distributions under type-II
                                  progressively hybrid censored samples    85--96
             Guo-Liang Tian and   
                 Huijuan Ma and   
                  Yong Zhou and   
                 Dianliang Deng   Generalized endpoint-inflated binomial
                                  model  . . . . . . . . . . . . . . . . . 97--114
              Taras Lazariv and   
              Yarema Okhrin and   
                Wolfgang Schmid   Behavior of EWMA type control charts for
                                  small smoothing parameters . . . . . . . 115--125
                   Chen Yue and   
               Shaojie Chen and   
              Haris I. Sair and   
                 Raag Airan and   
                 Brian S. Caffo   Estimating a graphical intra-class
                                  correlation coefficient (GICC) using
                                  multivariate probit-linear mixed models  126--133
                 Ruoyu Zhou and   
                Lianjie Shu and   
                         Yan Su   An adaptive minimum spanning tree test
                                  for detecting irregularly-shaped spatial
                                  clusters . . . . . . . . . . . . . . . . 134--146
                 Sangin Lee and   
               Yudi Pawitan and   
                    Youngjo Lee   A random-effect model approach for group
                                  variable selection . . . . . . . . . . . 147--157
             Mahmoud Torabi and   
            Subhash R. Lele and   
         Narasimha G. N. Prasad   Likelihood inference for small area
                                  estimation using data cloning  . . . . . 158--171
M. Dolores Jiménez-Gamero and   
                Hyoung-Moon Kim   Fast goodness-of-fit tests based on the
                                  characteristic function  . . . . . . . . 172--191
             Shuichi Kawano and   
          Hironori Fujisawa and   
            Toyoyuki Takada and   
            Toshihiko Shiroishi   Sparse principal component regression
                                  with adaptive loading  . . . . . . . . . 192--203
              Yan-Yong Zhao and   
               Jin-Guan Lin and   
                Pei-Rong Xu and   
                      Xu-Guo Ye   Orthogonality-projection-based
                                  estimation for semi-varying coefficient
                                  models with heteroscedastic errors . . . 204--221
      Jorge González and   
Andrés F. Barrientos and   
           Fernando A. Quintana   Bayesian nonparametric estimation of
                                  test equating functions with covariates  222--244


Computational Statistics & Data Analysis
Volume 90, Number ??, October, 2015

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi
            Erin M. Schliep and   
            Jennifer A. Hoeting   Data augmentation and parameter
                                  expansion for independent or spatially
                                  correlated ordinal data  . . . . . . . . 1--14
        Baptiste Gregorutti and   
            Bertrand Michel and   
          Philippe Saint-Pierre   Grouped variable importance with random
                                  forests and application to multiple
                                  functional data analysis . . . . . . . . 15--35
              Ashley Prater and   
                 Lixin Shen and   
                 Bruce W. Suter   Finding Dantzig selectors with a
                                  proximity operator based fixed-point
                                  algorithm  . . . . . . . . . . . . . . . 36--46
       Rohana J. Karunamuni and   
               Qingguo Tang and   
                   Bangxin Zhao   Robust and efficient estimation of
                                  effective dose . . . . . . . . . . . . . 47--60
              Darren Wraith and   
                Florence Forbes   Location and scale mixtures of Gaussians
                                  with flexible tail behaviour:
                                  Properties, inference and application to
                                  multivariate clustering  . . . . . . . . 61--73
              Jeongyoun Ahn and   
                    Yongho Jeon   Sparse HDLSS discrimination with
                                  constrained data piling  . . . . . . . . 74--83
               Gerhard Tutz and   
                  Shahla Ramzan   Improved methods for the imputation of
                                  missing data by nearest neighbor methods 84--99
          Milan Jovanovi\'c and   
       Bojana Milo\vsevi\'c and   
            Ya. Yu. Nikitin and   
          Marko Obradovi\'c and   
                 K. Yu. Volkova   Tests of exponentiality based on
                                  Arnold--Villasenor characterization and
                                  their efficiencies . . . . . . . . . . . 100--113
           Arthur Tenenhaus and   
             Cathy Philippe and   
                 Vincent Frouin   Kernel Generalized Canonical Correlation
                                  Analysis . . . . . . . . . . . . . . . . 114--131


Computational Statistics & Data Analysis
Volume 91, Number ??, November, 2015

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi
             Marek Jaroci\'nski   A note on implementing the Durbin and
                                  Koopman simulation smoother  . . . . . . 1--3
Stéphanie Allassonni\`ere and   
                   Estelle Kuhn   Convergent stochastic Expectation
                                  Maximization algorithm with efficient
                                  sampling in high dimension. Application
                                  to deformable template model estimation  4--19
          Isabelle Charlier and   
           Davy Paindaveine and   
    Jérôme Saracco   Conditional quantile estimation based on
                                  optimal quantization: From theory to
                                  practice . . . . . . . . . . . . . . . . 20--39
                    Yue Liu and   
                    Lei Liu and   
                   Jianhui Zhou   Joint latent class model of survival and
                                  longitudinal data: an application to
                                  CPCRA study  . . . . . . . . . . . . . . 40--50
           Wagner Barreto-Souza   Long-term survival models with
                                  overdispersed number of competing causes 51--63
              Guochang Wang and   
                   Yan Zhou and   
             Xiang-Nan Feng and   
                   Baoxue Zhang   The hybrid method of FSIR and FSAVE for
                                  functional effective dimension reduction 64--77
                Ganggang Xu and   
                 Marc G. Genton   Efficient maximum approximated
                                  likelihood inference for Tukey's
                                  $g$-and-$h$ distribution . . . . . . . . 78--91
               Yichuan Zhao and   
               Xueping Meng and   
                   Hanfang Yang   Jackknife empirical likelihood inference
                                  for the mean absolute deviation  . . . . 92--101


Computational Statistics & Data Analysis
Volume 92, Number ??, December, 2015

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi--vii
              Ulf Friedrich and   
          Ralf Münnich and   
              Sven de Vries and   
                Matthias Wagner   Fast integer-valued algorithms for
                                  optimal allocations under constraints in
                                  stratified sampling  . . . . . . . . . . 1--12
              Maiju Pesonen and   
              Henri Pesonen and   
              Jaakko Nevalainen   Covariance matrix estimation for
                                  left-censored data . . . . . . . . . . . 13--25
          Elizabeth G. Ryan and   
    Christopher C. Drovandi and   
             Anthony N. Pettitt   Simulation-based fully Bayesian
                                  experimental design for mixed effects
                                  models . . . . . . . . . . . . . . . . . 26--39
                    Hu Yang and   
                      Danhui Yi   Studies of the adaptive
                                  network-constrained linear regression
                                  and its application  . . . . . . . . . . 40--52
              Sunghoon Kwon and   
                 Sangin Lee and   
                    Yongdai Kim   Moderately clipped LASSO . . . . . . . . 53--67
                 Liping Zhu and   
                      Wei Zhong   Estimation and inference on central mean
                                  subspace for multivariate response data  68--83
                  S. Rashid and   
                   R. Mitra and   
                   R. J. Steele   Using mixtures of $t$ densities to make
                                  inferences in the presence of missing
                                  data with a small number of multiply
                                  imputed data sets  . . . . . . . . . . . 84--96
                    Zhi Liu and   
               Xiaochao Xia and   
                      Wang Zhou   A test for equality of two distributions
                                  via jackknife empirical likelihood and
                                  characteristic functions . . . . . . . . 97--114
               Tong Tong Wu and   
                  Kenneth Lange   Matrix completion discriminant analysis  115--125
               Kuo-Chin Lin and   
                     Yi-Ju Chen   Detecting misspecification in the
                                  random-effects structure of cumulative
                                  logit models . . . . . . . . . . . . . . 126--133
Sedigheh Mirzaei Salehabadi and   
               Debasis Sengupta   Regression under Cox's model for
                                  recall-based time-to-event data in
                                  observational studies  . . . . . . . . . 134--147
             Benedikt Funke and   
                   Rafael Kawka   Nonparametric density estimation for
                                  multivariate bounded data using two
                                  non-negative multiplicative bias
                                  correction methods . . . . . . . . . . . 148--162
        Martin Schäfer and   
               Yvonne Radon and   
               Thomas Klein and   
           Sabrina Herrmann and   
           Holger Schwender and   
           Peter J. Verveer and   
                 Katja Ickstadt   A Bayesian mixture model to quantify
                                  parameters of spatial clustering . . . . 163--176


Computational Statistics & Data Analysis
Volume 93, Number ??, January, 2016

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi--viii
      Erricos J. Kontoghiorghes   CSDA Special Issues  . . . . . . . . . . 1
                 John Hinde and   
        Salvatore Ingrassia and   
                Tsung-I Lin and   
                Paul McNicholas   The Third Special Issue on Advances in
                                  Mixture Models . . . . . . . . . . . . . 2--4
                   Luca Scrucca   Identifying connected components in
                                  Gaussian finite mixture models for
                                  clustering . . . . . . . . . . . . . . . 5--17
             Adrian O'Hagan and   
      Thomas Brendan Murphy and   
      Isobel Claire Gormley and   
         Paul D. McNicholas and   
                Dimitris Karlis   Clustering with the multivariate normal
                                  inverse Gaussian distribution  . . . . . 18--30
             Volodymyr Melnykov   Model-based biclustering of clickstream
                                  data . . . . . . . . . . . . . . . . . . 31--45
        D. Fernández and   
                  R. Arnold and   
                     S. Pledger   Mixture-based clustering for the ordered
                                  stereotype model . . . . . . . . . . . . 46--75
             Hien D. Nguyen and   
      Geoffrey J. McLachlan and   
                    Ian A. Wood   Mixtures of spatial spline regressions
                                  for clustering and classification  . . . 76--85
            Adam Ciarleglio and   
                  R. Todd Ogden   Wavelet-based scalar-on-function finite
                                  mixture regression models  . . . . . . . 86--96
   Panagiotis Papastamoulis and   
Marie-Laure Martin-Magniette and   
         Cathy Maugis-Rabusseau   On the estimation of mixtures of Poisson
                                  regression models with large number of
                                  components . . . . . . . . . . . . . . . 97--106
             Chew-Seng Chee and   
                      Yong Wang   Nonparametric estimation of species
                                  richness using discrete $k$-monotone
                                  distributions  . . . . . . . . . . . . . 107--118
                 Xiaosun Lu and   
              Yangxin Huang and   
                    Yiliang Zhu   Finite mixture of nonlinear
                                  mixed-effects joint models in the
                                  presence of missing and mismeasured
                                  covariate, with application to AIDS
                                  studies  . . . . . . . . . . . . . . . . 119--130
              Danilo Bolano and   
         André Berchtold   General framework and model building in
                                  the class of Hidden Mixture Transition
                                  Distribution models  . . . . . . . . . . 131--145
            Grant B. Morgan and   
              Kari J. Hodge and   
               Aaron R. Baggett   Latent profile analysis with nonnormal
                                  mixtures: a Monte Carlo examination of
                                  model selection using fit indices  . . . 146--161
                   Qiang Wu and   
                     Weixin Yao   Mixtures of quantile regressions . . . . 162--176
             Hien D. Nguyen and   
          Geoffrey J. McLachlan   Laplace mixture of linear experts  . . . 177--191
           Amay S. M. Cheam and   
             Paul D. McNicholas   Modelling receiver operating
                                  characteristic curves using Gaussian
                                  mixtures . . . . . . . . . . . . . . . . 192--208
         M. González and   
                 C. Minuesa and   
                  I. del Puerto   Maximum likelihood estimation and
                                  expectation-maximization algorithm for
                                  controlled branching processes . . . . . 209--227
               Xiaoling Dou and   
             Satoshi Kuriki and   
               Gwo Dong Lin and   
                Donald Richards   EM algorithms for estimating the
                                  Bernstein copula . . . . . . . . . . . . 228--245
              C. A. McGrory and   
              A. N. Pettitt and   
         D. M. Titterington and   
               C. L. Alston and   
                       M. Kelly   Transdimensional sequential Monte Carlo
                                  using variational Bayes --- SMCVB  . . . 246--254
              Somnath Datta and   
María del Carmen Pardo and   
             Thomas Scheike and   
                    Kam C. Yuen   Special issue on advances in survival
                                  analysis . . . . . . . . . . . . . . . . 255--256
                     Tao Hu and   
                   Liming Xiang   Partially linear transformation cure
                                  models for interval-censored data  . . . 257--269
          Vincent Bremhorst and   
               Philippe Lambert   Flexible estimation in cure survival
                                  models using Bayesian $P$-splines  . . . 270--284
               Junshan Shen and   
             Kam Chuen Yuen and   
                   Chunling Liu   Empirical likelihood confidence regions
                                  for one- or two- samples with doubly
                                  censored data  . . . . . . . . . . . . . 285--293
                 C. Moreira and   
J. de Uña-Álvarez and   
               L. Meira-Machado   Nonparametric regression with doubly
                                  truncated data . . . . . . . . . . . . . 294--307
         Majda Talamakrouni and   
        Ingrid Van Keilegom and   
               Anouar El Ghouch   Parametrically guided nonparametric
                                  density and hazard estimation with
                                  censored data  . . . . . . . . . . . . . 308--323
             Klaus K. Holst and   
          Thomas H. Scheike and   
             Jacob B. Hjelmborg   The liability threshold model for
                                  censored twin data . . . . . . . . . . . 324--335
                   Peng Luo and   
                       Zhi Geng   Causal mediation analysis for survival
                                  outcome with unobserved mediator-outcome
                                  confounders  . . . . . . . . . . . . . . 336--347
                Yanqing Sun and   
                     Mei Li and   
               Peter B. Gilbert   Goodness-of-fit test of the stratified
                                  mark-specific proportional hazards model
                                  with continuous mark . . . . . . . . . . 348--358
               Julyan Arbel and   
              Antonio Lijoi and   
                Bernardo Nipoti   Full Bayesian inference with hazard
                                  mixture models . . . . . . . . . . . . . 359--372
       Paola M. V. Rancoita and   
             Marco Zaffalon and   
             Emanuele Zucca and   
          Francesco Bertoni and   
            Cassio P. de Campos   Bayesian network data imputation with
                                  application to survival tree analysis    373--387
           Michael W. Berry and   
               Jung Jin Lee and   
           Giovanni Montana and   
           Stefan Van Aelst and   
                 Ruben H. Zamar   Special Issue on Advances in Data Mining
                                  and Robust Statistics  . . . . . . . . . 388--389
                   Ying Cui and   
               Chenlei Leng and   
                     Defeng Sun   Sparse estimation of high-dimensional
                                  correlation matrices . . . . . . . . . . 390--403
                    G. Tarr and   
             S. Müller and   
                    N. C. Weber   Robust estimation of precision matrices
                                  under cellwise contamination . . . . . . 404--420
             Andreas Alfons and   
           Christophe Croux and   
                   Sarah Gelper   Robust groupwise least angle regression  421--435
    Matias Salibian-Barrera and   
           Stefan Van Aelst and   
         Víctor J. Yohai   Robust tests for linear regression
                                  models based on $ \tau $-estimates . . . 436--455
             T. Kirschstein and   
               S. Liebscher and   
               G. C. Porzio and   
                    G. Ragozini   Minimum volume peeling: a robust
                                  nonparametric estimator of the
                                  multivariate mode  . . . . . . . . . . . 456--468
Wilhelmiina Hämäläinen   New upper bounds for tight and fast
                                  approximation of Fisher's exact test in
                                  dependency rule mining . . . . . . . . . 469--482
            Waldyn Martinez and   
                  J. Brian Gray   Noise peeling methods to improve
                                  boosting algorithms  . . . . . . . . . . 483--497


Computational Statistics & Data Analysis
Volume 94, Number ??, February, 2016

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi--vii
                  Minjo Kim and   
                   Sangyeol Lee   Nonlinear expectile regression with
                                  application to Value-at-Risk and
                                  expected shortfall estimation  . . . . . 1--19
           Sugnet Gardner-Lubbe   A triplot for multiclass classification
                                  visualisation  . . . . . . . . . . . . . 20--32
                Jingke Zhou and   
                     Lixing Zhu   Principal minimax support vector machine
                                  for sufficient dimension reduction with
                                  contaminated data  . . . . . . . . . . . 33--48
               Qingguo Tang and   
           Rohana J. Karunamuni   Fast and accurate computation for kernel
                                  estimators . . . . . . . . . . . . . . . 49--62
          Takanori Hasegawa and   
              Atsushi Niida and   
                Tomoya Mori and   
           Teppei Shimamura and   
              Rui Yamaguchi and   
              Satoru Miyano and   
             Tatsuya Akutsu and   
                    Seiya Imoto   A likelihood-free filtering method via
                                  approximate Bayesian computation in
                                  evaluating biological simulation models  63--74
                Ryan Martin and   
                       Zhen Han   A semiparametric scale-mixture
                                  regression model and predictive
                                  recursion maximum likelihood . . . . . . 75--85
                   F. C. Ng and   
                   W. K. Li and   
                Philip L. H. Yu   Diagnostic checking of the vector
                                  multiplicative error model . . . . . . . 86--97
               Depeng Jiang and   
                Puying Zhao and   
                 Niansheng Tang   A propensity score adjustment method for
                                  regression models with nonignorable
                                  missing covariates . . . . . . . . . . . 98--119
           Spencer Wheatley and   
         Vladimir Filimonov and   
                Didier Sornette   The Hawkes process with renewal
                                  immigration & its estimation with an EM
                                  algorithm  . . . . . . . . . . . . . . . 120--135
              S. F. Bagheri and   
          E. Bahrami Samani and   
                     M. Ganjali   The generalized modified Weibull power
                                  series distribution: Theory and
                                  applications . . . . . . . . . . . . . . 136--160
        Christophe Chesneau and   
                 Isha Dewan and   
                  Hassan Doosti   Nonparametric estimation of a quantile
                                  density function by wavelet methods  . . 161--174
               F. Lavancier and   
                      P. Rochet   A general procedure to combine
                                  estimators . . . . . . . . . . . . . . . 175--192
     Maria Francesca Marino and   
              Marco Alfó   Gaussian quadrature approximations in
                                  mixed hidden Markov models for
                                  longitudinal data: a simulation study    193--209
                 Ionut Bebu and   
                George Luta and   
              Thomas Mathew and   
            Paul A. Kennedy and   
                  Brian K. Agan   Parametric cost-effectiveness inference
                                  with skewed data . . . . . . . . . . . . 210--220
               Junyang Qian and   
                     Jinzhu Jia   On stepwise pattern recovery of the
                                  fused Lasso  . . . . . . . . . . . . . . 221--237
                  Xin Zhang and   
            Daniel R. Jeske and   
                     Jun Li and   
                     Vance Wong   A sequential logistic regression
                                  classifier based on mixed effects with
                                  applications to longitudinal data  . . . 238--249
             Joshua Svenson and   
                 Thomas Santner   Multiobjective optimization of
                                  expensive-to-evaluate deterministic
                                  computer simulator models  . . . . . . . 250--264
                  Kohei Uno and   
          Hironori Satomura and   
                   Kohei Adachi   Fixed factor analysis with clustered
                                  factor score constraint  . . . . . . . . 265--274
                 Sangin Lee and   
              Sunghoon Kwon and   
                    Yongdai Kim   A modified local quadratic approximation
                                  algorithm for penalized optimization
                                  problems . . . . . . . . . . . . . . . . 275--286
                     Lu Lin and   
                       Jing Sun   Adaptive conditional feature screening   287--301
             Yangguang Zang and   
               Sanguo Zhang and   
                  Qizhai Li and   
                 Qingzhao Zhang   Jackknife empirical likelihood test for
                                  high-dimensional regression coefficients 302--316
               Joseph Usset and   
           Ana-Maria Staicu and   
                    Arnab Maity   Interaction models for functional
                                  regression . . . . . . . . . . . . . . . 317--329
                    K. Hron and   
              A. Menafoglio and   
                   M. Templ and   
          K. Hruzová and   
                   P. Filzmoser   Simplicial principal component analysis
                                  for density functions in Bayes spaces    330--350
          Robert G. Aykroyd and   
              Stuart Barber and   
                 Luke R. Miller   Classification of multiple time signals
                                  using localized frequency
                                  characteristics applied to industrial
                                  process monitoring . . . . . . . . . . . 351--362
               Keunbaik Lee and   
                 Insuk Sohn and   
                     Donguk Kim   Analysis of long series of longitudinal
                                  ordinal data using marginalized models   363--371
           Roberto Benavent and   
                Domingo Morales   Multivariate Fay--Herriot models for
                                  small area estimation  . . . . . . . . . 372--390


Computational Statistics & Data Analysis
Volume 95, Number ??, March, 2016

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi--vii
               Kuo-Jung Lee and   
              Ray-Bing Chen and   
                   Ying Nian Wu   Bayesian variable selection for finite
                                  mixture model of linear regressions  . . 1--16
               Ping-Feng Xu and   
                   Jubo Sun and   
                        Na Shan   Local computations of the iterative
                                  proportional scaling procedure for
                                  hierarchical models  . . . . . . . . . . 17--23
             Min Cherng Lee and   
                    Robin Mitra   Multiply imputing missing values in data
                                  sets with mixed measurement scales using
                                  a sequence of generalised linear models  24--38
                 Yixin Wang and   
                  Mike K. P. So   A Bayesian hierarchical model for
                                  spatial extremes with multiple durations 39--56

Computational Statistics & Data Analysis
Volume 95, March, 2016

           Eugenia Koblents and   
Joaquín Míguez and   
  Marco A. Rodríguez and   
           Alexandra M. Schmidt   A nonlinear population Monte Carlo
                                  scheme for the Bayesian estimation of
                                  parameters of $ \alpha $-stable
                                  distributions  . . . . . . . . . . . . . 57--74

Computational Statistics & Data Analysis
Volume 95, Number ??, March, 2016

                 Yingli Qin and   
                     Weiming Li   Testing the order of a population
                                  spectral distribution for
                                  high-dimensional data  . . . . . . . . . 75--82
              Tonglin Zhang and   
                         Ge Lin   On Moran's $I$ coefficient under
                                  heterogeneity  . . . . . . . . . . . . . 83--94
                 Yuki Ikeda and   
           Tatsuya Kubokawa and   
             Muni S. Srivastava   Comparison of linear shrinkage
                                  estimators of a large covariance matrix
                                  in normal and non-normal distributions   95--108
             Jakub Stoklosa and   
             Yih-Huei Huang and   
               Elise Furlan and   
                  Wen-Han Hwang   On quadratic logistic regression models
                                  when predictor variables are subject to
                                  measurement error  . . . . . . . . . . . 109--121
             David J. Kahle and   
              Phil D. Young and   
            Brandi A. Greer and   
                  Dean M. Young   Confidence intervals for the ratio of
                                  two Poisson rates under one-way
                                  differential misclassification using
                                  double sampling  . . . . . . . . . . . . 122--132
          Piercesare Secchi and   
             Simone Vantini and   
                   Paolo Zanini   Hierarchical independent component
                                  analysis: a multi-resolution
                                  non-orthogonal data-driven basis . . . . 133--149
     Dipankar Bandyopadhyay and   
        M. Amalia Jácome   Comparing conditional survival functions
                                  with missing population marks in a
                                  competing risks model  . . . . . . . . . 150--160
      Luis Gutiérrez and   
      Ramsés H. Mena and   
                Matteo Ruggiero   A time dependent Bayesian nonparametric
                                  model for air quality analysis . . . . . 161--175
                    Lei Shi and   
                     Jun Lu and   
               Jianhua Zhao and   
                     Gemai Chen   Case deletion diagnostics for GMM
                                  estimation . . . . . . . . . . . . . . . 176--191
                    Cheng Cheng   Exploratory failure time analysis in
                                  large scale genomics . . . . . . . . . . 192--206
             Edouard Ollier and   
             Adeline Samson and   
           Xavier Delavenne and   
                 Vivian Viallon   A SAEM algorithm for fused lasso
                                  penalized NonLinear Mixed Effect Models:
                                  Application to group comparison in
                                  pharmacokinetics . . . . . . . . . . . . 207--221
               Qianchuan He and   
              Linglong Kong and   
                Yanhua Wang and   
                Sijian Wang and   
            Timothy A. Chan and   
                   Eric Holland   Regularized quantile regression under
                                  heterogeneous sparsity with application
                                  to quantitative genetic traits . . . . . 222--239
              Masayuki Hirukawa   Corrigendum to ``Nonparametric
                                  multiplicative bias correction for
                                  kernel-type density estimation on the
                                  unit interval'' [Comput. Statist. Data
                                  Anal. \bf 54 (2010) 473--495]  . . . . . 240--242
            Laks Raghupathi and   
              David Randell and   
                Kevin Ewans and   
                Philip Jonathan   Fast computation of large scale marginal
                                  extremes with multi-dimensional
                                  covariates . . . . . . . . . . . . . . . 243--258


Computational Statistics & Data Analysis
Volume 96, Number ??, April, 2016

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi
               Kaifeng Zhao and   
                      Heng Lian   The Expectation-Maximization approach
                                  for Bayesian quantile regression . . . . 1--11
      D. C. Wickramarachchi and   
            B. L. Robertson and   
                   M. Reale and   
                C. J. Price and   
                       J. Brown   HHCART: an oblique decision tree . . . . 12--23
                 Guoyou Qin and   
               Jiajia Zhang and   
                    Zhongyi Zhu   Simultaneous mean and covariance
                                  estimation of partially linear models
                                  for longitudinal data with missing
                                  responses and covariate measurement
                                  error  . . . . . . . . . . . . . . . . . 24--39
                Weihua Zhao and   
                  Heng Lian and   
               Riquan Zhang and   
                       Peng Lai   Estimation and variable selection for
                                  proportional response data with
                                  partially linear single-index models . . 40--56
              Silke Janitza and   
               Gerhard Tutz and   
          Anne-Laure Boulesteix   Random forest for ordinal responses:
                                  Prediction and variable selection  . . . 57--73
             Jakub Stoklosa and   
                 Peter Dann and   
         Richard M. Huggins and   
                  Wen-Han Hwang   Estimation of survival and capture
                                  probabilities in open population
                                  capture-recapture models when covariates
                                  are subject to measurement error . . . . 74--86
               Tso-Jung Yen and   
                     Yu-Min Yen   Structured variable selection via
                                  prior-induced hierarchical penalty
                                  functions  . . . . . . . . . . . . . . . 87--103
               Xiaochao Xia and   
                    Zhi Liu and   
                        Hu Yang   Regularized estimation for the least
                                  absolute relative error models with a
                                  diverging number of covariates . . . . . 104--119
            Jeffrey D. Hart and   
               Taeryon Choi and   
                   Seongbaek Yi   Frequentist nonparametric
                                  goodness-of-fit tests via marginal
                                  likelihood ratios  . . . . . . . . . . . 120--132
                   Shiyi Tu and   
                   Min Wang and   
                   Xiaoqian Sun   Bayesian analysis of two-piece
                                  location-scale models under reference
                                  priors with partial information  . . . . 133--144
                    Adam Petrie   Graph-theoretic multisample tests of
                                  equality in distribution for high
                                  dimensional data . . . . . . . . . . . . 145--158


Computational Statistics & Data Analysis
Volume 97, Number ??, 2016

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi--vii
             Rob J. Hyndman and   
                Alan J. Lee and   
                      Earo Wang   Fast computation of reconciled forecasts
                                  for hierarchical and grouped time series 16--32
                    Tom Michoel   Natural coordinate descent algorithm for
                                  $ L^1 $-penalised regression in
                                  generalised linear models  . . . . . . . 60--70
              Eric Ruggieri and   
              Marcus Antonellis   An exact approach to Bayesian sequential
                                  change point detection . . . . . . . . . 71--86
              Shirin Golchi and   
              David A. Campbell   Sequentially Constrained Monte Carlo . . 98--113
                Shaoli Wang and   
                 Mian Huang and   
                    Xing Wu and   
                     Weixin Yao   Mixture of functional linear models and
                                  its application to CO$_2$-GDP functional
                                  data . . . . . . . . . . . . . . . . . . 1--15
            Chihiro Hirotsu and   
           Shoichi Yamamoto and   
               Harukazu Tsuruta   A unifying approach to the shape and
                                  change-point hypotheses in the discrete
                                  univariate exponential family  . . . . . 33--46
                    Bin Yao and   
              Lianming Wang and   
                         Xin He   Semiparametric regression analysis of
                                  panel count data allowing for
                                  within-subject correlation . . . . . . . 47--59
                  Jie Zhang and   
                       Meng Pan   A high-dimension two-sample test for the
                                  mean using cluster subspaces . . . . . . 87--97
                  Harry Joe and   
                    Peijun Sang   Multivariate models for dependent
                                  clusters of variables with conditional
                                  independence given aggregation variables 114--132
           Katherine Morris and   
             Paul D. McNicholas   Clustering, classification, discriminant
                                  analysis, and dimension reduction via
                                  generalized hyperbolic mixtures  . . . . 133--150
            Graciela Boente and   
Juan Carlos Pardo-Fernández   Robust testing for superiority between
                                  two regression curves  . . . . . . . . . 151--168
              Filidor Vilca and   
          Renata G. Romeiro and   
                N. Balakrishnan   A bivariate Birnbaum--Saunders
                                  regression model . . . . . . . . . . . . 169--183


Computational Statistics & Data Analysis
Volume 98, Number ??, 2016

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi
          Rainer Dyckerhoff and   
             Pavlo Mozharovskyi   Exact computation of the halfspace depth 19--30
          Diego I. Gallardo and   
           Heleno Bolfarine and   
 Antonio Carlos Pedroso-de-Lima   Destructive weighted Poisson cure rate
                                  models with bivariate random effects:
                                  Classical and Bayesian approaches  . . . 31--45
             Hiroki Ikemoto and   
                   Kohei Adachi   Sparse Tucker2 analysis of three-way
                                  data subject to a constrained number of
                                  zero elements in a core array  . . . . . 1--18
           Britta Anker Bak and   
              Jens Ledet Jensen   High dimensional classifiers in the
                                  imbalanced case  . . . . . . . . . . . . 46--59
               Haibing Zhao and   
                  Wing Kam Fung   A powerful FDR control procedure for
                                  multiple hypotheses  . . . . . . . . . . 60--70
          Akihito Takahashi and   
               Takeshi Kurosawa   Regression correlation coefficient for a
                                  Poisson regression model . . . . . . . . 71--78
            C. S. Oedekoven and   
                    R. King and   
             S. T. Buckland and   
            M. L. Mackenzie and   
                K. O. Evans and   
              L. W. Burger, Jr.   Using hierarchical centering to
                                  facilitate a reversible jump MCMC
                                  algorithm for random effects models  . . 79--90
            Myung Hyun Park and   
               Joseph H. T. Kim   Estimating extreme tail risk measures
                                  with generalized Pareto distribution . . 91--104


Computational Statistics & Data Analysis
Volume 99, Number ??, July, 2016

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi--vii
                 Andy Leung and   
             Hongyang Zhang and   
                    Ruben Zamar   Robust regression estimation and
                                  inference in the presence of cellwise
                                  and casewise contamination . . . . . . . 1--11
              Kuangnan Fang and   
               Xiaoyan Wang and   
             Ben-Chang Shia and   
                    Shuangge Ma   Identification of proportionality
                                  structure with two-part models using
                                  penalization . . . . . . . . . . . . . . 12--24
               Hui-Qiong Li and   
             Guo-Liang Tian and   
              Xue-Jun Jiang and   
                Nian-Sheng Tang   Testing hypothesis for a simple ordering
                                  in incomplete contingency tables . . . . 25--37
              Debasis Kundu and   
                 Debanjan Mitra   Bayesian inference of Weibull
                                  distribution based on left truncated and
                                  right censored data  . . . . . . . . . . 38--50
           Cathy W. S. Chen and   
                   Sangyeol Lee   Generalized Poisson autoregressive
                                  models for time series of counts . . . . 51--67
        Kimberly F. Sellers and   
                    Andrew Raim   A flexible zero-inflated model to
                                  address data dispersion  . . . . . . . . 68--80
             Sandra E. Safo and   
                  Jeongyoun Ahn   General sparse multi-class linear
                                  discriminant analysis  . . . . . . . . . 81--90
              Junguang Zhao and   
                   Xingzhong Xu   A generalized likelihood ratio test for
                                  normal mean when $p$ is greater than $n$ 91--104
                   Jie Zhou and   
               Jiajia Zhang and   
        Alexander C. McLain and   
                         Bo Cai   A multiple imputation approach for
                                  semiparametric cure model with interval
                                  censored data  . . . . . . . . . . . . . 105--114
       Fadlalla G. Elfadaly and   
         Paul H. Garthwaite and   
               John R. Crawford   On point estimation of the abnormality
                                  of a Mahalanobis index . . . . . . . . . 115--130
Luis Angel García-Escudero and   
          Alfonso Gordaliza and   
         Francesca Greselin and   
        Salvatore Ingrassia and   
      Agustín Mayo-Iscar   The joint role of trimming and
                                  constraints in robust estimation for
                                  mixtures of Gaussian factor analyzers    131--147
             David M. Mount and   
        Nathan S. Netanyahu and   
        Christine D. Piatko and   
               Angela Y. Wu and   
                 Ruth Silverman   A practical approximation algorithm for
                                  the LTS estimator  . . . . . . . . . . . 148--170
              Mathieu Emily and   
           Christophe Hitte and   
                      Alain Mom   SMILE: a novel dissimilarity-based
                                  procedure for detecting sparse-specific
                                  profiles in sparse contingency tables    171--188
                 Alwin Stegeman   A new method for simultaneous estimation
                                  of the factor model parameters, factor
                                  scores, and unique parts . . . . . . . . 189--203
          Enea G. Bongiorno and   
                      Aldo Goia   Classification methods for Hilbert data
                                  based on surrogate density . . . . . . . 204--222
             Enrico Fabrizi and   
                Carlo Trivisano   Small area estimation of the Gini
                                  concentration coefficient  . . . . . . . 223--234
            Robert Serfling and   
                    Yunfei Wang   On Liu's simplicial depth and Randles'
                                  interdirections  . . . . . . . . . . . . 235--247


Computational Statistics & Data Analysis
Volume 100, Number ??, August, 2016

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi--ix
  Erricos J. Kontoghiorghes and   
             Herman K. Van Dijk   CFEnetwork: the \booktitleAnnals of
                                  Computational and Financial
                                  Econometrics, 3rd issue  . . . . . . . . 1--3
             Natalia Bailey and   
                Liudas Giraitis   Spectral approach to parameter-free unit
                                  root testing . . . . . . . . . . . . . . 4--16
                Luc Bauwens and   
        Lyudmila Grigoryeva and   
              Juan-Pablo Ortega   Estimation and empirical performance of
                                  non-scalar dynamic conditional
                                  correlation models . . . . . . . . . . . 17--36
              Monica Billio and   
            Roberto Casarin and   
               Anthony Osuntuyi   Efficient Gibbs sampling for Markov
                                  switching GARCH models . . . . . . . . . 37--57
         Francisco Blasques and   
                 Jiangyu Ji and   
             André Lucas   Semiparametric score driven volatility
                                  models . . . . . . . . . . . . . . . . . 58--69
             Luisa Bisaglia and   
                 Antonio Canale   Bayesian nonparametric forecasting for
                                  INAR models  . . . . . . . . . . . . . . 70--78
    João F. Caldeira and   
         Guilherme V. Moura and   
      André A. P. Santos   Predicting the yield curve using
                                  forecast combinations  . . . . . . . . . 79--98
              Michael Creel and   
              Dennis Kristensen   On selection of statistics for
                                  approximate Bayesian computing (or the
                                  method of simulated moments) . . . . . . 99--114
          G. S. Dissanayake and   
               M. S. Peiris and   
                    T. Proietti   State space modeling of Gegenbauer
                                  processes with long memory . . . . . . . 115--130
        Matthias R. Fengler and   
                   Ostap Okhrin   Managing risk with a realized copula
                                  parameter  . . . . . . . . . . . . . . . 131--152
        Gabriele Fiorentini and   
          Christophe Planas and   
               Alessandro Rossi   Skewness and kurtosis of multivariate
                                  Markov-switching processes . . . . . . . 153--159
            Philip Hans Franses   A simple test for a bubble based on
                                  growth and acceleration  . . . . . . . . 160--169
           Diego E. Fresoli and   
                    Esther Ruiz   The uncertainty of conditional returns,
                                  volatilities and correlations in DCC
                                  models . . . . . . . . . . . . . . . . . 170--185
     Noud P. A. van Giersbergen   The ability to correct the bias in the
                                  stable AD(1,1) model with a feedback
                                  effect . . . . . . . . . . . . . . . . . 186--204
            Emanuele Giorgi and   
            Alexander J. McNeil   On the computation of multivariate
                                  scenario sets for the skew-$t$ and
                                  generalized hyperbolic families  . . . . 205--220
            Jan J. J. Groen and   
              George Kapetanios   Revisiting useful approaches to
                                  data-rich macroeconomic forecasting  . . 221--239
              Kazuhiko Hayakawa   Improved GMM estimation of panel VAR
                                  models . . . . . . . . . . . . . . . . . 240--264
          Kazuhiko Hayakawa and   
                 Shuichi Nagata   On the behaviour of the GMM estimator in
                                  persistent dynamic panel data models
                                  with unrestricted initial conditions . . 265--303
                R. Hendrych and   
                       T. Cipra   On conditional covariance modelling: an
                                  approach using state space models  . . . 304--317
              Hajo Holzmann and   
              Florian Schwaiger   Testing for the number of states in
                                  hidden Markov models . . . . . . . . . . 318--330
         Tsunehiro Ishihara and   
             Yasuhiro Omori and   
                    Manabu Asai   Matrix exponential stochastic volatility
                                  with cross leverage  . . . . . . . . . . 331--350
                   Eric Jondeau   Asymmetry in tail dependence in equity
                                  portfolios . . . . . . . . . . . . . . . 351--368
          George Kapetanios and   
    Massimiliano Marcellino and   
                Fotis Papailias   Forecasting inflation and GDP growth
                                  using heuristic optimisation of
                                  information criteria and variable
                                  reduction methods  . . . . . . . . . . . 369--382
   Sébastien Laurent and   
         Christelle Lecourt and   
                  Franz C. Palm   Testing for jumps in conditionally
                                  Gaussian ARMA--GARCH models, a robust
                                  approach . . . . . . . . . . . . . . . . 383--400
                     Rui Li and   
             Alan T. K. Wan and   
                    Jinhong You   Semiparametric GMM estimation and
                                  variable selection in dynamic panel data
                                  models with fixed effects  . . . . . . . 401--423
                   Degui Li and   
       Léopold Simar and   
              Valentin Zelenyuk   Generalized nonparametric smoothing with
                                  mixed discrete and continuous data . . . 424--444
         Cédric Okou and   
           Éric Jacquier   Horizon effect in the term structure of
                                  long-run risk-return trade-offs  . . . . 445--466
                     Li Pan and   
            Dimitris N. Politis   Bootstrap prediction intervals for
                                  Markov processes . . . . . . . . . . . . 467--494
       Ekaterini Panopoulou and   
           Theologos Pantelidis   The Fisher effect in the presence of
                                  time-varying coefficients  . . . . . . . 495--511
         Winfried Pohlmeier and   
           Ruben Seiberlich and   
             Selver Derya Uysal   A simple and successful shrinkage method
                                  for weighting estimators of treatment
                                  effects  . . . . . . . . . . . . . . . . 512--525
              Vasilis Sarafidis   Neighbourhood GMM estimation of dynamic
                                  panel data models  . . . . . . . . . . . 526--544
                Laura Spierdijk   Confidence intervals for ARMA--GARCH
                                  Value-at-Risk: the case of heavy tails
                                  and skewness . . . . . . . . . . . . . . 545--559
    Vladica S. Stojanovi\'c and   
       Biljana C. Popovi\'c and   
      Gradimir V. Milovanovi\'c   The Split-SV model . . . . . . . . . . . 560--581
            Genaro Sucarrat and   
  Steffen Grònneberg and   
               Alvaro Escribano   Estimation and inference in univariate
                                  and multivariate log-GARCH-X models when
                                  the conditional density is unknown . . . 582--594
     Chu-Ping C. Vijverberg and   
       Wim P. M. Vijverberg and   
         Süleyman Taspinar   Linking Tukey's legacy to financial risk
                                  measurement  . . . . . . . . . . . . . . 595--615
             Alexander Vosseler   Bayesian model selection for unit root
                                  testing with multiple structural breaks  616--630
           H. Peter Boswijk and   
           Christian Francq and   
                Marc Hallin and   
                  Robert Taylor   Special issue on Time Series
                                  Econometrics . . . . . . . . . . . . . . 631--632
             Abdelkamel Alj and   
Kristján Jónasson and   
              Guy Mélard   The exact Gaussian likelihood estimation
                                  of time-dependent VARMA models . . . . . 633--644
               Josu Arteche and   
                     Jesus Orbe   A bootstrap approximation for the
                                  distribution of the Local Whittle
                                  estimator  . . . . . . . . . . . . . . . 645--660
            Michael P. Clements   Real-time factor model forecasting and
                                  the effects of instability . . . . . . . 661--675
       Lajos Horváth and   
               Gregory Rice and   
                Stephen Whipple   Adaptive bandwidth selection in the long
                                  run covariance estimator of functional
                                  time series  . . . . . . . . . . . . . . 676--693
                    Wei Lin and   
  Gloria González-Rivera   Interval-valued time series models:
                                  Estimation based on order statistics
                                  exploring the Agriculture Marketing
                                  Service data . . . . . . . . . . . . . . 694--711
            J. Huston McCulloch   Moment Ratio estimation of
                                  autoregressive/unit root parameters and
                                  autocorrelation-consistent standard
                                  errors . . . . . . . . . . . . . . . . . 712--733
       Garry D. A. Phillips and   
               Gareth Liu-Evans   Approximating and reducing bias in 2SLS
                                  estimation of dynamic simultaneous
                                  equation models  . . . . . . . . . . . . 734--762
                    Amit Shelef   A Gini-based unit root test  . . . . . . 763--772
                   Florian Ziel   Iteratively reweighted adaptive lasso
                                  for conditional heteroscedastic time
                                  series with applications to AR--ARCH
                                  type processes . . . . . . . . . . . . . 773--793
                Luc Bauwens and   
                  Gary Koop and   
                 John Maheu and   
                 Yasuhiro Omori   Special issue on Bayesian econometrics   794
                Yuta Kurose and   
                 Yasuhiro Omori   Dynamic equicorrelation stochastic
                                  volatility . . . . . . . . . . . . . . . 795--813
        Audrone Virbickaite and   
M. Concepción Ausín and   
                  Pedro Galeano   A Bayesian non-parametric approach to
                                  asymmetric dynamic conditional
                                  correlation model with application to
                                  portfolio selection  . . . . . . . . . . 814--829
             Michel Lubrano and   
       Abdoul Aziz Junior Ndoye   Income inequality decomposition using a
                                  finite mixture of log-normal
                                  distributions: a Bayesian approach . . . 830--846
          Joshua C. C. Chan and   
               Angelia L. Grant   Fast computation of the deviance
                                  information criterion for latent
                                  variable models  . . . . . . . . . . . . 847--859


Computational Statistics & Data Analysis
Volume 101, Number ??, September, 2016

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi--vii
                   Wei Ding and   
               Peter X.-K. Song   EM algorithm in Gaussian copula with
                                  missing data . . . . . . . . . . . . . . 1--11
           Tilman M. Davies and   
                Khair Jones and   
             Martin L. Hazelton   Symmetric adaptive smoothing regimens
                                  for estimation of the spatial relative
                                  risk function  . . . . . . . . . . . . . 12--28
            Reshad Hosseini and   
                 Suvrit Sra and   
                Lucas Theis and   
                Matthias Bethge   Inference and mixture modeling with the
                                  Elliptical Gamma Distribution  . . . . . 29--43
          Tucker S. McElroy and   
                 Scott H. Holan   Computation of the autocovariances for
                                  time series with multiple long-range
                                  persistencies  . . . . . . . . . . . . . 44--56
                Minjung Lee and   
                     Junhee Han   Covariate-adjusted quantile inference
                                  with competing risks . . . . . . . . . . 57--63
        William Cipolli III and   
             Timothy Hanson and   
            Alexander C. McLain   Bayesian nonparametric multiple testing  64--79
                 Yongku Kim and   
               L. Mark Berliner   Change of spatiotemporal scale in
                                  dynamic models . . . . . . . . . . . . . 80--92
                Lixing Zhou and   
              Yoshio Takane and   
                 Heungsun Hwang   Dynamic GSCANO (Generalized Structured
                                  Canonical Correlation Analysis) with
                                  applications to the analysis of
                                  effective connectivity in functional
                                  neuroimaging data  . . . . . . . . . . . 93--109
             Dimitris Korobilis   Prior selection for panel vector
                                  autoregressions  . . . . . . . . . . . . 110--120
                  Zizhen Wu and   
             David B. Hitchcock   A Bayesian method for simultaneous
                                  registration and clustering of
                                  functional observations  . . . . . . . . 121--136
                     Hao Hu and   
                  Yichao Wu and   
                     Weixin Yao   Maximum likelihood estimation of the
                                  mixture of log-concave densities . . . . 137--147
          Travis A. O'Brien and   
          Karthik Kashinath and   
      Nicholas R. Cavanaugh and   
         William D. Collins and   
                John P. O'Brien   A fast and objective multidimensional
                                  kernel density estimation method:
                                  fastKDE  . . . . . . . . . . . . . . . . 148--160
              Khaled Bedair and   
                  Yili Hong and   
                     Jie Li and   
          Hussein R. Al-Khalidi   Multivariate frailty models for
                                  multi-type recurrent event data and its
                                  application to cancer prevention trial   161--173
                Qixuan Chen and   
          Myunghee Cho Paik and   
                 Minjin Kim and   
                   Cuiling Wang   Using link-preserving imputation for
                                  logistic partially linear models with
                                  missing covariates . . . . . . . . . . . 174--185
    Ingrid Hobæk Haff and   
                Kjersti Aas and   
           Arnoldo Frigessi and   
                 Virginia Lacal   Structure learning in Bayesian Networks
                                  using regular vines  . . . . . . . . . . 186--208
                      Qi Li and   
                  Heng Lian and   
                     Fukang Zhu   Robust closed-form estimators for the
                                  integer-valued $ {\rm GARCH}(1, 1) $
                                  model  . . . . . . . . . . . . . . . . . 209--225
            Samuel M. Gross and   
              Robert Tibshirani   Data Shared Lasso: a novel tool to
                                  discover uplift  . . . . . . . . . . . . 226--235
    Spyridon J. Hatjispyros and   
        Theodoros Nicoleris and   
              Stephen G. Walker   Random density functions with common
                                  atoms and pairwise dependence  . . . . . 236--249
                 Namgil Lee and   
                 Hyemi Choi and   
                    Sung-Ho Kim   Bayes shrinkage estimation for
                                  high-dimensional VAR models with scale
                                  mixture of normal distributions for
                                  noise  . . . . . . . . . . . . . . . . . 250--276
                William Kleiber   High resolution simulation of
                                  nonstationary Gaussian random fields . . 277--288
               B. N. Mandal and   
                         Jun Ma   $ l_1 $ regularized multiplicative
                                  iterative path algorithm for
                                  non-negative generalized linear models   289--299
                Huon Wilson and   
                      Uri Keich   Accurate pairwise convolutions of
                                  non-negative vectors via FFT . . . . . . 300--315


Computational Statistics & Data Analysis
Volume 102, Number ??, October, 2016

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi
             Darshan Bryner and   
                Fred Huffer and   
          Michael Rosenthal and   
            J. Derek Tucker and   
                Anuj Srivastava   Estimation of linear target-layer
                                  trajectories using cluttered point cloud
                                  data . . . . . . . . . . . . . . . . . . 1--22
             Hien D. Nguyen and   
          Geoffrey J. McLachlan   Maximum likelihood estimation of
                                  triangular and polygonal distributions   23--36
           Mauro Costantini and   
                       Amit Sen   A simple testing procedure for unit root
                                  and model specification  . . . . . . . . 37--54
          Filipe J. Marques and   
           Florence Loingeville   Improved near-exact distributions for
                                  the product of independent Generalized
                                  Gamma random variables . . . . . . . . . 55--66
                   Sreevani and   
                   C. A. Murthy   On bandwidth selection using minimal
                                  spanning tree for kernel density
                                  estimation . . . . . . . . . . . . . . . 67--84
               Xiaochao Xia and   
                    Hu Yang and   
                    Jialiang Li   Feature screening for generalized
                                  varying coefficient models with
                                  application to dichotomous responses . . 85--97
               Sanying Feng and   
                  Heng Lian and   
                     Liugen Xue   A new nested Cholesky decomposition and
                                  estimation for the covariance matrix of
                                  bivariate longitudinal data  . . . . . . 98--109


Computational Statistics & Data Analysis
Volume 103, Number ??, November, 2016

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi--vii
            Didier Chauveau and   
             Vy Thuy Lynh Hoang   Nonparametric mixture models with
                                  conditionally independent multivariate
                                  component densities  . . . . . . . . . . 1--16
                K. Y. K. Wu and   
                       W. K. Li   On a dispersion model with Pearson
                                  residual responses . . . . . . . . . . . 17--27
          Aurelius A. Zilko and   
               Dorota Kurowicka   Copula in a multivariate mixed
                                  discrete-continuous model  . . . . . . . 28--55
         Martin L. Hazelton and   
                  Murray P. Cox   Bandwidth selection for kernel
                                  log-density estimation . . . . . . . . . 56--67
                Rahim Alhamzawi   Bayesian model selection in ordinal
                                  quantile regression  . . . . . . . . . . 68--78
                    Ling Ma and   
                     Tao Hu and   
                    Jianguo Sun   Cox regression analysis of dependent
                                  interval-censored failure time data  . . 79--90
Vera Lúcia F. Santos and   
       Fernando A. S. Moura and   
          Dalton F. Andrade and   
   Kelly C. M. Gonçalves   Multidimensional and longitudinal item
                                  response models for non-ignorable data   91--110
                  Fang Fang and   
                       Jun Shao   Iterated imputation estimation for
                                  generalized linear models with missing
                                  response and covariate values  . . . . . 111--123
                 Heiko Groenitz   A covariate nonrandomized response model
                                  for multicategorical sensitive variables 124--138
               Sanying Feng and   
                  Heng Lian and   
                     Fukang Zhu   Reduced rank regression with possibly
                                  non-smooth criterion functions: an
                                  empirical likelihood approach  . . . . . 139--150
             Hien D. Nguyen and   
          Geoffrey J. McLachlan   Linear mixed models with marginally
                                  symmetric nonparametric random effects   151--169
               Shi-Fang Qiu and   
               Wai-Yin Poon and   
                   Man-Lai Tang   Confidence intervals for an ordinal
                                  effect size measure based on partially
                                  validated series . . . . . . . . . . . . 170--192
                   Yuan Xue and   
              Xiangrong Yin and   
                  Xiaolin Jiang   Ensemble sufficient dimension folding
                                  methods for analyzing matrix-valued data 193--205
             Hani El Assaad and   
          Allou Samé and   
      Gérard Govaert and   
                  Patrice Aknin   A variational Expectation-Maximization
                                  algorithm for temporal data clustering   206--228
            G. S. Rodrigues and   
              David J. Nott and   
                   S. A. Sisson   Functional regression approximate
                                  Bayesian computation for Gaussian
                                  process density estimation . . . . . . . 229--241
                  Ling Chen and   
                Jianguo Sun and   
                 Chengjie Xiong   A multiple imputation approach to the
                                  analysis of clustered interval-censored
                                  failure time data with the additive
                                  hazards model  . . . . . . . . . . . . . 242--249
                Meiling Hao and   
                Yunyuan Lin and   
                   Xingqiu Zhao   A relative error-based approach for
                                  variable selection . . . . . . . . . . . 250--262
                  Xuehu Zhu and   
                   Fei Chen and   
                     Xu Guo and   
                     Lixing Zhu   Heteroscedasticity testing for
                                  regression models: a dimension
                                  reduction-based model adaptive approach  263--283
    Wessel N. van Wieringen and   
            Carel F. W. Peeters   Ridge estimation of inverse covariance
                                  matrices from high-dimensional data  . . 284--303
             Zachary Zimmer and   
                DoHwan Park and   
                  Thomas Mathew   Tolerance limits under normal mixtures:
                                  Application to the evaluation of nuclear
                                  power plant safety and to the assessment
                                  of circular error probable . . . . . . . 304--315
                  Heping He and   
             Thomas A. Severini   A flexible approach to inference in
                                  semiparametric regression models with
                                  correlated errors using Gaussian
                                  processes  . . . . . . . . . . . . . . . 316--329
                   Shibin Zhang   Adaptive spectral estimation for
                                  nonstationary multivariate time series   330--349
            Lynette A. Hunt and   
                Kaye E. Basford   Comparing classical criteria for
                                  selecting intra-class correlated
                                  features in Multimix . . . . . . . . . . 350--366
           A. Garbuno-Inigo and   
            F. A. DiazDelaO and   
                     K. M. Zuev   Gaussian process hyper-parameter
                                  estimation using Parallel Asymptotically
                                  Independent Markov Sampling  . . . . . . 367--383
                 Lele Huang and   
               Junlong Zhao and   
                Huiwen Wang and   
                    Siyang Wang   Robust shrinkage estimation and
                                  selection for functional multiple linear
                                  model through LAD loss . . . . . . . . . 384--400
              Sunghoon Kwon and   
              Seungyoung Oh and   
                    Youngjo Lee   The use of random-effect models for
                                  high-dimensional variable selection
                                  problems . . . . . . . . . . . . . . . . 401--412
                Sijia Xiang and   
                 Weixin Yao and   
                   Byungtae Seo   Semiparametric mixture: Continuous scale
                                  mixture approach . . . . . . . . . . . . 413--425
  Lars Josef Höök and   
            Erik Lindström   Efficient computation of the quasi
                                  likelihood function for discretely
                                  observed diffusion processes . . . . . . 426--437


Computational Statistics & Data Analysis
Volume 104, Number ??, December, 2016

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi--vii
       Vyacheslav Lyubchich and   
                Xingyu Wang and   
               Andrew Heyes and   
                   Yulia R. Gel   A distribution-free $m$-out-of-$n$
                                  bootstrap approach to testing symmetry
                                  about an unknown median  . . . . . . . . 1--9
                 Ruitao Lin and   
              Zhongying Liu and   
              Shurong Zheng and   
                   Guosheng Yin   Power computation for hypothesis testing
                                  with high-dimensional covariance
                                  matrices . . . . . . . . . . . . . . . . 10--23
                 Irene Epifanio   Functional archetype and archetypoid
                                  analysis . . . . . . . . . . . . . . . . 24--34
        Satya Prakash Singh and   
             Siuli Mukhopadhyay   Bayesian crossover designs for
                                  generalized linear models  . . . . . . . 35--50
             Gina Gruenhage and   
              Manfred Opper and   
                Simon Barthelme   Visualizing the effects of a changing
                                  distance on data using continuous
                                  embeddings . . . . . . . . . . . . . . . 51--65
                   Qing Pan and   
                   Yunpeng Zhao   Integrative weighted group lasso and
                                  generalized local quadratic
                                  approximation  . . . . . . . . . . . . . 66--78
              Daniel Ahfock and   
           Saumyadipta Pyne and   
              Sharon X. Lee and   
          Geoffrey J. McLachlan   Partial identification in the
                                  statistical matching problem . . . . . . 79--90
                    Shuo Li and   
                     Yundong Tu   $ \sqrt {n}$-consistent density
                                  estimation in semiparametric regression
                                  models . . . . . . . . . . . . . . . . . 91--109
            Giampiero Marra and   
                Karol Wyszynski   Semi-parametric copula sample selection
                                  models for count responses . . . . . . . 110--129
       Inés Barbeito and   
                    Ricardo Cao   Smoothed stationary bootstrap bandwidth
                                  selection for density estimation with
                                  dependent data . . . . . . . . . . . . . 130--147
        Abdelkader Ameraoui and   
           Kamal Boukhetala and   
     Jean-François Dupuy   Bayesian estimation of the tail index of
                                  a heavy tailed distribution under random
                                  censoring  . . . . . . . . . . . . . . . 148--168
                   L. Ippel and   
              M. C. Kaptein and   
                  J. K. Vermunt   Estimating random-intercept models on
                                  data streams . . . . . . . . . . . . . . 169--182
                     Tri Le and   
                Bertrand Clarke   Using the Bayesian Shtarkov solution for
                                  predictions  . . . . . . . . . . . . . . 183--196
                      Chenxi Li   Cause-specific hazard regression for
                                  competing risks data under interval
                                  censoring and left truncation  . . . . . 197--208
        Anthony C. Atkinson and   
                Marco Riani and   
                Francesca Torti   Robust methods for heteroskedastic
                                  regression . . . . . . . . . . . . . . . 209--222
                 Tong-Yu Lu and   
               Wai-Yin Poon and   
                Siu Hung Cheung   Multiple comparisons of treatments with
                                  skewed ordinal responses . . . . . . . . 223--232
                    Yang Li and   
                  Zhengyuan Zhu   Modeling nonstationary covariance
                                  function with convolution on sphere  . . 233--246
   Mohammad Hossein Dehghan and   
               Thierry Duchesne   Erratum to ``On the performance of some
                                  non-parametric estimators of the
                                  conditional survival function with
                                  interval-censored data'' [Comput.
                                  Statstic Data Anal. \bf 55 (12) (2011)
                                  3355--3364]  . . . . . . . . . . . . . . 247


Computational Statistics & Data Analysis
Volume 105, Number ??, January, 2017

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi--vii
              Francis K. C. Hui   Model-based simultaneous clustering and
                                  ordination of multivariate abundance
                                  data in ecology  . . . . . . . . . . . . 1--10
           Matthieu Wilhelm and   
          Yves Tillé and   
          Lionel Qualité   Quasi-systematic sampling from a
                                  continuous population  . . . . . . . . . 11--23
            Robert Serfling and   
              Uditha Wijesuriya   Depth-based nonparametric description of
                                  functional data, with emphasis on use of
                                  spatial depth  . . . . . . . . . . . . . 24--45
              Jan Gertheiss and   
             Jeff Goldsmith and   
               Ana-Maria Staicu   A note on modeling sparse
                                  exponential-family functional response
                                  curves . . . . . . . . . . . . . . . . . 46--52
                   Yuanhui Xiao   A fast algorithm for two-dimensional
                                  Kolmogorov--Smirnov two sample tests . . 53--58
               Paul Schmidt and   
           Mark Mühlau and   
                  Volker Schmid   Fitting large-scale structured additive
                                  regression models using Krylov subspace
                                  methods  . . . . . . . . . . . . . . . . 59--75
    Aurélien Nicosia and   
           Thierry Duchesne and   
          Louis-Paul Rivest and   
                  Daniel Fortin   A general hidden state random walk model
                                  for animal movement  . . . . . . . . . . 76--95
                Seongho Kim and   
              Hyejeong Jang and   
                  Imhoi Koo and   
              Joohyoung Lee and   
                    Xiang Zhang   Normal-Gamma--Bernoulli peak detection
                                  for analysis of comprehensive
                                  two-dimensional gas chromatography mass
                                  spectrometry data  . . . . . . . . . . . 96--111
                 Ivair R. Silva   Confidence intervals through sequential
                                  Monte Carlo  . . . . . . . . . . . . . . 112--124
                 WenWu Wang and   
                        Ping Yu   Asymptotically optimal differenced
                                  estimators of error variance in
                                  nonparametric regression . . . . . . . . 125--143
     Ana López-Cheda and   
                Ricardo Cao and   
    M. Amalia Jácome and   
            Ingrid Van Keilegom   Nonparametric incidence estimation and
                                  bootstrap bandwidth selection in mixture
                                  cure models  . . . . . . . . . . . . . . 144--165
           Umberto Picchini and   
               Rachele Anderson   Approximate maximum likelihood
                                  estimation using data-cloning ABC  . . . 166--183
             Yan-Qing Zhang and   
                Nian-Sheng Tang   Bayesian local influence analysis of
                                  general estimating equations with
                                  nonignorable missing data  . . . . . . . 184--200
                   Peng Lai and   
                 Yiming Liu and   
                    Zhi Liu and   
                         Yi Wan   Model free feature screening for
                                  ultrahigh dimensional data with
                                  responses missing at random  . . . . . . 201--216
           Ery Arias-Castro and   
                        Xiao Pu   A simple approach to sparse clustering   217--228
        Seksan Kiatsupaibul and   
          Anthony J. Hayter and   
                        Wei Liu   Rank constrained distribution and moment
                                  computations . . . . . . . . . . . . . . 229--242
                 Junmo Song and   
               Dong-hyun Oh and   
                     Jiwon Kang   Robust estimation in stochastic frontier
                                  models . . . . . . . . . . . . . . . . . 243--267
                 F. Lombard and   
         Douglas M. Hawkins and   
          Cornelis J. Potgieter   Sequential rank CUSUM charts for angular
                                  data . . . . . . . . . . . . . . . . . . 268--279
               Emma Persson and   
  Jenny Häggström and   
         Ingeborg Waernbaum and   
                 Xavier de Luna   Data-driven algorithms for dimension
                                  reduction in causal inference  . . . . . 280--292


Computational Statistics & Data Analysis
Volume 106, Number ??, February, 2017

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi--vi
              Yongchan Kwon and   
            Young-Geun Choi and   
               Taesung Park and   
            Andreas Ziegler and   
              Myunghee Cho Paik   Generalized estimating equations with
                                  stabilized working correlation structure 1--11
                   Dan Wang and   
                      Lili Tian   Parametric methods for confidence
                                  interval estimation of overlap
                                  coefficients . . . . . . . . . . . . . . 12--26
             Artur Gramacki and   
              Jaroslaw Gramacki   FFT-based fast bandwidth selector for
                                  multivariate kernel density estimation   27--45
              Ana M. Bianco and   
                 Paula M. Spano   Robust estimation in partially linear
                                  errors-in-variables models . . . . . . . 46--64
        Frank Schaarschmidt and   
             Daniel Gerhard and   
                Charlotte Vogel   Simultaneous confidence intervals for
                                  comparisons of several multinomial
                                  samples  . . . . . . . . . . . . . . . . 65--76
                      J. Li and   
                 D. J. Nott and   
                     Y. Fan and   
                   S. A. Sisson   Extending approximate Bayesian
                                  computation methods to high dimensions
                                  via a Gaussian copula model  . . . . . . 77--89
   Alberto Alvarez-Iglesias and   
                 John Hinde and   
              John Ferguson and   
                    John Newell   An alternative pruning based approach to
                                  unbiased recursive partitioning  . . . . 90--102
            Changryong Baek and   
           Richard A. Davis and   
                 Vladas Pipiras   Sparse seasonal and periodic vector
                                  autoregressive modeling  . . . . . . . . 103--126
               K. McGinnity and   
                R. Varbanov and   
                     E. Chicken   Cross-validated wavelet block
                                  thresholding for non-Gaussian errors . . 127--137
    Anastasios Panagiotelis and   
              Claudia Czado and   
                  Harry Joe and   
              Jakob Stöber   Model selection for discrete regular
                                  vine copulas . . . . . . . . . . . . . . 138--152
                 Baisen Liu and   
            Liangliang Wang and   
                      Jiguo Cao   Estimating functional linear
                                  mixed-effects regression models  . . . . 153--164


Computational Statistics & Data Analysis
Volume 107, Number ??, March, 2017

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi--vi
                Tyrus Berry and   
                  Timothy Sauer   Density estimation on manifolds with
                                  boundary . . . . . . . . . . . . . . . . 1--17
            Virginia Giorno and   
Patricia Román-Román and   
               Serena Spina and   
          Francisco Torres-Ruiz   Estimating a non-homogeneous Gompertz
                                  process with jumps as model of tumor
                                  dynamics . . . . . . . . . . . . . . . . 18--31
             Miguel Boubeta and   
María José Lombardía and   
                Domingo Morales   Poisson mixed models for studying the
                                  poverty in small areas . . . . . . . . . 32--47
              Ricardo Rocha and   
         Saralees Nadarajah and   
             Vera Tomazella and   
              Francisco Louzada   A new class of defective models based on
                                  the Marshall--Olkin family of
                                  distributions for cure rate modeling . . 48--63
                    Xia Cui and   
                Jianhua Guo and   
                  Guangren Yang   On the identifiability and estimation of
                                  generalized linear models with
                                  parametric nonignorable missing data
                                  mechanism  . . . . . . . . . . . . . . . 64--80
              Lisa L. Doove and   
          Tom F. Wilderjans and   
        Antonio Calcagn\`\i and   
              Iven Van Mechelen   Deriving optimal data-analytic regimes
                                  from benchmarking studies  . . . . . . . 81--91
        Claudio Agostinelli and   
         Isabella Locatelli and   
              Alfio Marazzi and   
         Víctor J. Yohai   Robust estimators of accelerated failure
                                  time regression with generalized
                                  log-gamma errors . . . . . . . . . . . . 92--106
                 Hanning Li and   
                   Debdeep Pati   Variable selection using shrinkage
                                  priors . . . . . . . . . . . . . . . . . 107--119
               Shirong Deng and   
                Kin-yat Liu and   
                   Xingqiu Zhao   Semiparametric regression analysis of
                                  multivariate longitudinal data with
                                  informative observation times  . . . . . 120--130
               Chenyang Tao and   
                  Jianfeng Feng   Canonical kernel dimension reduction . . 131--148
             Pavel N. Krivitsky   Using contrastive divergence to seed
                                  Monte Carlo MLE for exponential-family
                                  random graph models  . . . . . . . . . . 149--161
       William H. Aeberhard and   
                Eva Cantoni and   
              Stephane Heritier   Saddlepoint tests for accurate and
                                  robust inference on overdispersed count
                                  data . . . . . . . . . . . . . . . . . . 162--175


Computational Statistics & Data Analysis
Volume 108, Number ??, April, 2017

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi--vi
              Vishal Maurya and   
                 A. N. Gill and   
                    Aarti Goyal   A new two-stage multiple comparison
                                  procedure for comparing several
                                  exponential populations with a control
                                  under heteroscedasticity . . . . . . . . 1--11
              Debasis Kundu and   
             Debanjan Mitra and   
                   Ayon Ganguly   Analysis of left truncated and right
                                  censored competing risks data  . . . . . 12--26
                   Byungtae Seo   The doubly smoothed maximum likelihood
                                  estimation for location-shifted
                                  semiparametric mixtures  . . . . . . . . 27--39
      Valérie Monbet and   
                 Pierre Ailliot   Sparse vector Markov switching
                                  autoregressive models. Application to
                                  multivariate time series of temperature  40--51
                 Li-Yu Wang and   
              Cheolwoo Park and   
                Kyupil Yeon and   
                     Hosik Choi   Tracking concept drift using a
                                  constrained penalized regression
                                  combiner . . . . . . . . . . . . . . . . 52--69
             Lianqiang Yang and   
                  Yongmiao Hong   Adaptive penalized splines for data
                                  smoothing  . . . . . . . . . . . . . . . 70--83
                  Marco Bee and   
          Roberto Benedetti and   
                  Giuseppe Espa   Approximate maximum likelihood
                                  estimation of the Bingham distribution   84--96
             Byeong U. Park and   
       Léopold Simar and   
              Valentin Zelenyuk   Nonparametric estimation of dynamic
                                  discrete choice models for time series
                                  data . . . . . . . . . . . . . . . . . . 97--120
                 Jing Zhang and   
                 Yanyan Liu and   
                    Yuanshan Wu   Correlation rank screening for
                                  ultrahigh-dimensional survival data  . . 121--132
          Daniel T. Kaffine and   
                Graham A. Davis   A multi-row deletion diagnostic for
                                  influential observations in small-sample
                                  regressions  . . . . . . . . . . . . . . 133--145
Hossein Moradi Rekabdarkolaee and   
               Edward Boone and   
                       Qin Wang   Robust estimation and variable selection
                                  in sufficient dimension reduction  . . . 146--157


Computational Statistics & Data Analysis
Volume 109, Number ??, May, 2017

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi--vii
             Haileab Hilafu and   
                       Wenbo Wu   Partial projective resampling method for
                                  dimension reduction: With applications
                                  to partially linear models . . . . . . . 1--14
                Weihua Zhao and   
                  Heng Lian and   
                   Xinyuan Song   Composite quantile regression for
                                  correlated data  . . . . . . . . . . . . 15--33
                 Chew-Seng Chee   A mixture model-based nonparametric
                                  approach to estimating a count
                                  distribution . . . . . . . . . . . . . . 34--44
              Jia-Chiun Pan and   
                Yufen Huang and   
               J. T. Gene Hwang   Estimation of selected parameters  . . . 45--63
         Ricardo A. Maronna and   
                Victor J. Yohai   Robust and efficient estimation of
                                  multivariate scatter and location  . . . 64--75
        André Fujita and   
  Daniel Yasumasa Takahashi and   
       Joana Bisol Balardin and   
        Maciel Calebe Vidal and   
       João Ricardo Sato   Correlation between graphs with an
                                  application to brain network analysis    76--92
              Shengtong Han and   
              Hongmei Zhang and   
           Wilfried Karmaus and   
             Graham Roberts and   
                   Hasan Arshad   Adjusting background noise in cluster
                                  analyses of longitudinal data  . . . . . 93--104
                  Xuehu Zhu and   
                   Tao Wang and   
               Junlong Zhao and   
                     Lixing Zhu   Inference for biased transformation
                                  models . . . . . . . . . . . . . . . . . 105--120
                 Priyam Das and   
               Subhashis Ghosal   Bayesian quantile regression using
                                  random B-spline series prior . . . . . . 121--143
               Ningning Han and   
                Yumeng Song and   
                   Zhanjie Song   Bayesian robust principal component
                                  analysis with structured sparse
                                  component  . . . . . . . . . . . . . . . 144--158
            Muhammad Farooq and   
                 Ingo Steinwart   An SVM-like approach for expectile
                                  regression . . . . . . . . . . . . . . . 159--181
          Robert Richardson and   
          Athanasios Kottas and   
             Bruno Sansó   Flexible integro-difference equation
                                  modeling for spatio-temporal data  . . . 182--198
             Yongqiang Lian and   
                Yincai Tang and   
                     Yijun Wang   Objective Bayesian analysis of JM model
                                  in software reliability  . . . . . . . . 199--214
           Nicolas Couellan and   
                   Wenjuan Wang   Uncertainty-safe large scale support
                                  vector machines  . . . . . . . . . . . . 215--230
         Myl\`ene Bédard   Hierarchical models: Local proposal
                                  variances for RWM-within-Gibbs and
                                  MALA-within-Gibbs  . . . . . . . . . . . 231--246


Computational Statistics & Data Analysis
Volume 110, Number ??, June, 2017

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi--vi
               Daniel Kraus and   
                  Claudia Czado   $D$-vine copula based quantile
                                  regression . . . . . . . . . . . . . . . 1--18
                    Harry Crane   A hidden Markov model for latent
                                  temporal clustering with application to
                                  ideological alignment in the U.S.
                                  Supreme Court  . . . . . . . . . . . . . 19--36
             Zhendong Huang and   
             Davide Ferrari and   
                     Guoqi Qian   Parsimonious and powerful composite
                                  likelihood testing for group difference
                                  and genotype-phenotype association . . . 37--49
                Hongmei Lin and   
               Riquan Zhang and   
                 Wenchao Xu and   
                   Yuedong Wang   Estimating time-varying treatment
                                  switching effects via local linear
                                  smoothing and quasi-likelihood . . . . . 50--63
            Kjell A. Doksum and   
            Jiancheng Jiang and   
                     Bo Sun and   
                   Shuzhen Wang   Nearest neighbor estimates of regression 64--74
                  Shuwei Li and   
                     Tao Hu and   
                Peijie Wang and   
                    Jianguo Sun   Regression analysis of current status
                                  data in the presence of dependent
                                  censoring with applications to
                                  tumorigenicity experiments . . . . . . . 75--86
              Monia Ranalli and   
                  Roberto Rocci   Mixture models for mixed-type data
                                  through a composite likelihood approach  87--102
                J. Geronimi and   
                     G. Saporta   Variable selection for multiply-imputed
                                  data with penalized generalized
                                  estimating equations . . . . . . . . . . 103--114
              Himel Mallick and   
                     Nengjun Yi   Bayesian group bridge for bi-level
                                  variable selection . . . . . . . . . . . 115--133
               Zhongkai Liu and   
                   Rui Song and   
               Donglin Zeng and   
                   Jiajia Zhang   Principal components adjusted variable
                                  screening  . . . . . . . . . . . . . . . 134--144
            Stephan Dlugosz and   
                Enno Mammen and   
                  Ralf A. Wilke   Generalized partially linear regression
                                  with misclassified data and an
                                  application to labour market transitions 145--159


Computational Statistics & Data Analysis
Volume 111, Number ??, July, 2017

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi--vii
                Joonho Gong and   
                  Hyunjoong Kim   RHSBoost: Improving classification
                                  performance in imbalance data  . . . . . 1--13
                     Hao Hu and   
                 Weixin Yao and   
                      Yichao Wu   The robust EM-type algorithms for
                                  log-concave mixtures of regression
                                  models . . . . . . . . . . . . . . . . . 14--26
              Florian Maire and   
              Eric Moulines and   
               Sidonie Lefebvre   Online EM for functional data  . . . . . 27--47
             Seung Jun Shin and   
               Andreas Artemiou   Penalized principal logistic regression
                                  for sparse sufficient dimension
                                  reduction  . . . . . . . . . . . . . . . 48--58
                 Andy Leung and   
               Victor Yohai and   
                    Ruben Zamar   Multivariate location and scatter matrix
                                  estimation under cellwise and casewise
                                  contamination  . . . . . . . . . . . . . 59--76
               Lianfen Qian and   
                    Suojin Wang   Subject-wise empirical likelihood
                                  inference in partial linear models for
                                  longitudinal data  . . . . . . . . . . . 77--87
               Hongxiao Zhu and   
          Jeffrey S. Morris and   
               Fengrong Wei and   
                  Dennis D. Cox   Multivariate functional response
                                  regression, with application to
                                  fluorescence spectroscopy in a cervical
                                  pre-cancer study . . . . . . . . . . . . 88--101
                Ming Ouyang and   
               Xiaodong Yan and   
                    Ji Chen and   
             Niansheng Tang and   
                   Xinyuan Song   Bayesian local influence of
                                  semiparametric structural equation
                                  models . . . . . . . . . . . . . . . . . 102--115
           Ezequiel Smucler and   
                Victor J. Yohai   Robust and sparse estimators for linear
                                  regression models  . . . . . . . . . . . 116--130
            Elias Al-Najjar and   
                Kofi P. Adragni   Sufficient dimension reduction
                                  constrained through sub-populations  . . 131--144
           Michael A. Kouritzin   Residual and stratified branching
                                  particle filters . . . . . . . . . . . . 145--165
            Mohamed Belalia and   
         Taoufik Bouezmarni and   
              Alexandre Leblanc   Smooth conditional distribution
                                  estimators using Bernstein polynomials   166--182
           M. Iftakhar Alam and   
            Barbara Bogacka and   
                D. Stephen Coad   Pharmacokinetically guided optimum
                                  adaptive dose selection in early phase
                                  clinical trials  . . . . . . . . . . . . 183--202
          Sebastian Ueckert and   
           France Mentré   A new method for evaluation of the
                                  Fisher information matrix for discrete
                                  mixed effect models using Monte Carlo
                                  sampling and adaptive Gaussian
                                  quadrature . . . . . . . . . . . . . . . 203--219


Computational Statistics & Data Analysis
Volume 112, Number ??, August, 2017

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi--vii
                 Kyu Ha Lee and   
         Sounak Chakraborty and   
                    Jianguo Sun   Variable selection for high-dimensional
                                  genomic data with censored outcomes
                                  using group lasso prior  . . . . . . . . 1--13
Lluís Bermúdez and   
            Dimitris Karlis and   
               Miguel Santolino   A finite mixture of multiple discrete
                                  distributions for modelling heaped count
                                  data . . . . . . . . . . . . . . . . . . 14--23
               Ivan Kojadinovic   Some copula inference procedures adapted
                                  to the presence of ties  . . . . . . . . 24--41
                   Xue Wang and   
              Stephen G. Walker   An optimal data ordering scheme for
                                  Dirichlet process mixture models . . . . 42--52
                  Tian Fang and   
          William Mackillop and   
                Wenyu Jiang and   
           Allan Hildesheim and   
           Sholom Wacholder and   
                Bingshu E. Chen   A Bayesian method for risk window
                                  estimation with application to HPV
                                  vaccine trial  . . . . . . . . . . . . . 53--62
              Jane Y. Nancy and   
         Nehemiah H. Khanna and   
              Kannan Arputharaj   Imputing missing values in unevenly
                                  spaced clinical time series data to
                                  build an effective temporal
                                  classification framework . . . . . . . . 63--79
Luis A. García-Escudero and   
  Agustín Mayo-Iscar and   
Clara I. Sánchez-Gutiérrez   Fitting parabolas in noisy images  . . . 80--87
                 Marc Goessling   LogitBoost autoregressive networks . . . 88--98
            Giampiero Marra and   
                 Rosalba Radice   Bivariate copula additive models for
                                  location, scale and shape  . . . . . . . 99--113
                  Jun Zhang and   
                   Yan Zhou and   
               Bingqing Lin and   
                         Yao Yu   Estimation and hypothesis test on
                                  partial linear models with additive
                                  distortion measurement errors  . . . . . 114--128
                    Jing Lv and   
                Chaohui Guo and   
                    Hu Yang and   
                      Yalian Li   A moving average Cholesky factor model
                                  in covariance modeling for composite
                                  quantile regression with longitudinal
                                  data . . . . . . . . . . . . . . . . . . 129--144
            Seonghyun Jeong and   
                Minjae Park and   
                  Taeyoung Park   Analysis of binary longitudinal data
                                  with time-varying effects  . . . . . . . 145--153
              Wenpeng Shang and   
                      Xiao Wang   The generalized moment estimation of the
                                  additive-multiplicative hazard model
                                  with auxiliary survival information  . . 154--169
          Andrew G. Chapple and   
            Marina Vannucci and   
             Peter F. Thall and   
                     Steven Lin   Bayesian variable selection for a
                                  semi-competing risks model with three
                                  hazard functions . . . . . . . . . . . . 170--185
                  Haijin He and   
                   Deng Pan and   
                Liuquan Sun and   
                   Yimei Li and   
          Leslie L. Robison and   
                   Xinyuan Song   Analysis of a fixed center effect
                                  additive rates model for recurrent event
                                  data . . . . . . . . . . . . . . . . . . 186--197
              M. F. Carfora and   
                 L. Cutillo and   
                     A. Orlando   A quantitative comparison of stochastic
                                  mortality models on Italian population
                                  data . . . . . . . . . . . . . . . . . . 198--214
                    Xin Lai and   
           Kelvin K. W. Yau and   
                        Liu Liu   Competing risk model with bivariate
                                  random effects for clustered survival
                                  data . . . . . . . . . . . . . . . . . . 215--223
               Xuerong Chen and   
                     Tao Hu and   
                    Jianguo Sun   Sieve maximum likelihood estimation for
                                  the proportional hazards model under
                                  informative censoring  . . . . . . . . . 224--234
                  Qiang Xia and   
               Rubing Liang and   
                    Jianhong Wu   Transformed contribution ratio test for
                                  the number of factors in static
                                  approximate factor models  . . . . . . . 235--241
   Joseph Ryan G. Lansangan and   
              Erniel B. Barrios   Simultaneous dimension reduction and
                                  variable selection in modeling high
                                  dimensional data . . . . . . . . . . . . 242--256
            Ehsan Zamanzade and   
                    Xinlei Wang   Estimation of population proportion for
                                  judgment post-stratification . . . . . . 257--269


Computational Statistics & Data Analysis
Volume 113, Number ??, September, 2017

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi--viii
                Jae Won Lee and   
                    Nan Lin and   
         Martina Mittlböck   Advances in Medical Statistics . . . . . 1--2
                A. Bertrand and   
                 C. Legrand and   
          D. Léonard and   
                I. Van Keilegom   Robustness of estimation methods in a
                                  survival cure model with mismeasured
                                  covariates . . . . . . . . . . . . . . . 3--18
                 Rok Blagus and   
                      Lara Lusa   Gradient boosting for high-dimensional
                                  prediction of rare events  . . . . . . . 19--37
            Sarah Friedrich and   
          Frank Konietschke and   
                   Markus Pauly   A wild bootstrap approach for
                                  nonparametric repeated measurements  . . 38--52
             Paolo Frumento and   
                  Matteo Bottai   An estimating equation for censored and
                                  truncated quantile regression  . . . . . 53--63
Yonas Ghebremichael-Weldeselassie and   
        Heather J. Whitaker and   
             Ian J. Douglas and   
                Liam Smeeth and   
            C. Paddy Farrington   Self-controlled case series with
                                  multiple event types . . . . . . . . . . 64--72
                Santu Ghosh and   
          Arpita Chatterjee and   
                  Samiran Ghosh   Non-inferiority test based on
                                  transformations for non-normal
                                  distributions  . . . . . . . . . . . . . 73--87
                 Gi-Soo Kim and   
          Myunghee Cho Paik and   
                    Hongsoo Kim   Causal inference with observational data
                                  under cluster-specific non-ignorable
                                  assignment mechanism . . . . . . . . . . 88--99
             Heinz Schmidli and   
        Beat Neuenschwander and   
                     Tim Friede   Meta-analytic-predictive use of
                                  historical variance data for the design
                                  and analysis of clinical trials  . . . . 100--110
Maroussia Slavtchova-Bojkova and   
            Plamen Trayanov and   
                Stoyan Dimitrov   Branching processes in continuous time
                                  as models of mutations: Computational
                                  approaches and algorithms  . . . . . . . 111--124
                 Zheyu Wang and   
        Krisztian Sebestyen and   
               Sarah E. Monsell   Model-based clustering for assessing the
                                  prognostic value of imaging biomarkers
                                  and mixed type tests . . . . . . . . . . 125--135
         S. Faye Williamson and   
                Peter Jacko and   
     Sofía S. Villar and   
                    Thomas Jaki   A Bayesian adaptive design for clinical
                                  trials in rare diseases  . . . . . . . . 136--153
               Joong-Ho Won and   
                    Xiao Wu and   
               Sang Han Lee and   
                        Ying Lu   Cross-sectional design with a short-term
                                  follow-up for prognostic imaging
                                  biomarkers . . . . . . . . . . . . . . . 154--176
              Stefanie Muff and   
                Manuela Ott and   
                Julia Braun and   
                  Leonhard Held   Bayesian two-component measurement error
                                  modelling for survival analysis using
                                  INLA --- a case study on cardiovascular
                                  disease mortality in Switzerland . . . . 177--193
         Alexander N. Donev and   
Jesús López-Fidalgo and   
               Douglas P. Wiens   Special issue on Design of Experiments   194--195
               Holger Dette and   
       Viatcheslav B. Melas and   
                   Petr Shpilev   $T$-optimal discriminating designs for
                                  Fourier regression models  . . . . . . . 196--206
                   J. M. McGree   Developments of the total entropy
                                  utility function for the dual purpose of
                                  model discrimination and parameter
                                  estimation in Bayesian design  . . . . . 207--225
             David C. Woods and   
            James M. McGree and   
                 Susan M. Lewis   Model selection via Bayesian information
                                  capacity designs for generalised linear
                                  models . . . . . . . . . . . . . . . . . 226--238
         Maria Konstantinou and   
        Stefanie Biedermann and   
                    Alan Kimber   Model robust designs for survival trials 239--250
           Byran J. Smucker and   
              Willis Jensen and   
                  Zichen Wu and   
                        Bo Wang   Robustness of classical and optimal
                                  designs to missing observations  . . . . 251--260
        Marcelo A. da Silva and   
          Steven G. Gilmour and   
                Luzia A. Trinca   Factorial and response surface designs
                                  robust to missing observations . . . . . 261--272
               Holger Dette and   
          Kirsten Schorning and   
             Maria Konstantinou   Optimal designs for comparing regression
                                  models with correlated observations  . . 273--286
Juan M. Rodríguez-Díaz   Computation of $c$-optimal designs for
                                  models with correlated observations  . . 287--296
        Anthony C. Atkinson and   
                   Atanu Biswas   Optimal response and covariate-adaptive
                                  biased-coin designs for clinical trials
                                  with continuous multivariate or
                                  longitudinal responses . . . . . . . . . 297--310
    André Kobilinsky and   
         Hervé Monod and   
                   R. A. Bailey   Automatic generation of generalised
                                  regular factorial designs  . . . . . . . 311--329
              Ehsan Masoudi and   
              Heinz Holling and   
                  Weng Kee Wong   Application of imperialist competitive
                                  algorithm to find minimax and
                                  standardized maximin optimal designs . . 330--345
         Erin R. Leatherman and   
             Angela M. Dean and   
              Thomas J. Santner   Designing combined physical and computer
                                  experiments to maximize prediction
                                  accuracy . . . . . . . . . . . . . . . . 346--362
   M. J. Rivas-López and   
                   R. C. Yu and   
    J. López-Fidalgo and   
                        G. Ruiz   Optimal experimental design on the
                                  loading frequency for a probabilistic
                                  fatigue model for plain and
                                  fibre-reinforced concrete  . . . . . . . 363--374
                B. Gauthier and   
                    L. Pronzato   Convex relaxation for IMSE optimal
                                  design in random-field models  . . . . . 375--394
             Samuel Mueller and   
            Graciela Boente and   
           Christophe Croux and   
                  Juan Romo and   
               Stefan Van Aelst   2nd special issue on robust analysis of
                                  complex data . . . . . . . . . . . . . . 395--397
               Geert Dhaene and   
                         Yu Zhu   Median-based estimation of dynamic panel
                                  models with fixed effects  . . . . . . . 398--423
            Juan Lucas Bali and   
                Graciela Boente   Robust estimators under a functional
                                  common principal components model  . . . 424--440
       Alessandro Chiancone and   
            Florence Forbes and   
         Stéphane Girard   Student Sliced Inverse Regression  . . . 441--456
                    Yong He and   
             Xinsheng Zhang and   
              Pingping Wang and   
                    Liwen Zhang   High dimensional Gaussian copula
                                  graphical model with FDR control . . . . 457--474
         Antonello Maruotti and   
                  Antonio Punzo   Model-based time-varying clustering of
                                  multivariate longitudinal data with
                                  covariates and outliers  . . . . . . . . 475--496


Computational Statistics & Data Analysis
Volume 114, Number ??, October, 2017

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi--vi
                 Justine Shults   Simulating longer vectors of correlated
                                  binary random variables via multinomial
                                  sampling . . . . . . . . . . . . . . . . 1--11
            Philip L. H. Yu and   
              Xiaohang Wang and   
                   Yuanyuan Zhu   High dimensional covariance matrix
                                  estimation by penalizing the
                                  matrix-logarithm transformed likelihood  12--25
            Marcos Carzolio and   
                 Scotland Leman   Weighted particle tempering  . . . . . . 26--37
               Ivan Gorynin and   
    Stéphane Derrode and   
          Emmanuel Monfrini and   
            Wojciech Pieczynski   Fast smoothing in switching
                                  approximations of non-linear and
                                  non-Gaussian models  . . . . . . . . . . 38--46
         Shonosuke Sugasawa and   
               Tatsuya Kubokawa   Transforming response values in small
                                  area prediction  . . . . . . . . . . . . 47--60
             Jong-June Jeon and   
              Sunghoon Kwon and   
                     Hosik Choi   Homogeneity detection for the
                                  high-dimensional generalized linear
                                  model  . . . . . . . . . . . . . . . . . 61--74
            Adrian Baddeley and   
            Andrew Hardegen and   
            Thomas Lawrence and   
             Robin K. Milne and   
               Gopalan Nair and   
                  Suman Rakshit   On two-stage Monte Carlo tests of
                                  composite hypotheses . . . . . . . . . . 75--87
               Xingxiang Li and   
             Guosheng Cheng and   
                Liming Wang and   
                   Peng Lai and   
                    Fengli Song   Ultrahigh dimensional feature screening
                                  via projection . . . . . . . . . . . . . 88--104
                   Chang Yu and   
               Daniel Zelterman   A parametric model to estimate the
                                  proportion from true null using a
                                  distribution for $p$-values  . . . . . . 105--118
          Shyamsundar Sahoo and   
               Debasis Sengupta   Testing the hypothesis of increasing
                                  hazard ratio in two samples  . . . . . . 119--129
            Matthieu Marbac and   
                 Mohammed Sedki   A family of block-wise one-factor
                                  distributions for modeling
                                  high-dimensional binary data . . . . . . 130--145
               Chunlin Wang and   
              Paul Marriott and   
                     Pengfei Li   Testing homogeneity for multiple
                                  nonnegative distributions with excess
                                  zero observations  . . . . . . . . . . . 146--157


Computational Statistics & Data Analysis
Volume 115, Number ??, November, 2017

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Editorial Board  . . . . . . . . . . . . vi--vii
             Dongliang Wang and   
                  Lili Tian and   
                   Yichuan Zhao   Smoothed empirical likelihood for the
                                  Youden index . . . . . . . . . . . . . . 1--10
                    Song Li and   
         Geoffrey K. F. Tso and   
                     Lufan Long   Powered embarrassing parallel MCMC
                                  sampling in Bayesian inference, a
                                  weighted average intuition . . . . . . . 11--20
                Pai-Ling Li and   
             Jeng-Min Chiou and   
                        Yu Shyr   Functional data classification using
                                  covariate-adjusted subspace projection   21--34
              Timothy Hayes and   
                John J. McArdle   Should we impute or should we weight?
                                  Examining the performance of two
                                  CART-based techniques for addressing
                                  missing data in small sample research
                                  with nonnormal variables . . . . . . . . 35--52
               Penny Bilton and   
                Geoff Jones and   
                Siva Ganesh and   
                  Steve Haslett   Classification trees for poverty mapping 53--66
                   Yuan Xue and   
                  Nan Zhang and   
              Xiangrong Yin and   
                   Haitao Zheng   Sufficient dimension reduction using
                                  Hilbert--Schmidt independence criterion  67--78
          Robert D. Leonard and   
               David J. Edwards   Bayesian $D$-optimal screening
                                  experiments with partial replication . . 79--90
        Markus Frölich and   
               Martin Huber and   
             Manuel Wiesenfarth   The finite sample performance of semi-
                                  and non-parametric estimators for
                                  treatment effects and policy evaluation  91--102
                    Xia Cui and   
                    Ying Lu and   
                      Heng Peng   Estimation of partially linear
                                  regression models under the partial
                                  consistency property . . . . . . . . . . 103--121
    Vendula Svendová and   
             Michael G. Schimek   A novel method for estimating the common
                                  signals for consensus across multiple
                                  ranked lists . . . . . . . . . . . . . . 122--135
             Shangshan Wang and   
                   Liming Xiang   Two-layer EM algorithm for ALD mixture
                                  regression models: a new solution to
                                  composite quantile regression  . . . . . 136--154
           S. J. W. Willems and   
                  M. Fiocco and   
                  J. J. Meulman   Optimal scaling for survival analysis
                                  with ordinal data  . . . . . . . . . . . 155--171
          Prajamitra Bhuyan and   
               Debasis Sengupta   Estimation of reliability with
                                  semi-parametric modeling of degradation  172--185
                  Peter D. Hoff   Lasso, fractional norm and structured
                                  sparse estimation using a Hadamard
                                  product parametrization  . . . . . . . . 186--198
             Olivier Ledoit and   
                   Michael Wolf   Numerical implementation of the QuEST
                                  function . . . . . . . . . . . . . . . . 199--223
      Daniel Palhazi Cuervo and   
                 Peter Goos and   
          Kenneth Sörensen   An algorithmic framework for generating
                                  optimal two-stratum experimental designs 224--249
             Arthur C. Tsai and   
              Michelle Liou and   
                Maria Simak and   
                Philip E. Cheng   On hyperbolic transformations to
                                  normality  . . . . . . . . . . . . . . . 250--266
               Keunbaik Lee and   
            Changryong Baek and   
             Michael J. Daniels   ARMA Cholesky factor models for the
                                  covariance matrix of linear models . . . 267--280
              Anthony Y. C. Kuk   Function compositional adjustments of
                                  conditional quantile curves  . . . . . . 281--293


Computational Statistics & Data Analysis
Volume 116, Number ??, December, 2017

               Junlong Zhao and   
                     Lu Niu and   
                    Shushi Zhan   Trace regression model with
                                  simultaneously low rank and row(column)
                                  sparse parameter . . . . . . . . . . . . 1--18
            Riccardo De Bin and   
      Anne-Laure Boulesteix and   
                Willi Sauerbrei   Detection of influential points as a
                                  byproduct of resampling-based variable
                                  selection procedures . . . . . . . . . . 19--31
             David A. Rolls and   
                   Garry Robins   Minimum distance estimators of
                                  population size from snowball samples
                                  using conditional estimation and scaling
                                  of exponential random graph models . . . 32--48
              Feipeng Zhang and   
                      Qunhua Li   A continuous threshold expectile model   49--66
               Chi-Yang Chu and   
        Daniel J. Henderson and   
        Christopher F. Parmeter   On discrete Epanechnikov kernel
                                  functions  . . . . . . . . . . . . . . . 79--105
                   Peng Hao and   
                    Junpeng Guo   Constrained center and range joint model
                                  for interval-valued symbolic data
                                  regression . . . . . . . . . . . . . . . 106--138
              Sheila Gaynor and   
                      Eric Bair   Identification of relevant subtypes via
                                  preweighted sparse clustering  . . . . . 139--154
        Masayo Yoshimori Hirose   Non-area-specific adjustment factor for
                                  second-order efficient empirical Bayes
                                  confidence interval  . . . . . . . . . . 67--78


Computational Statistics & Data Analysis
Volume 117, Number ??, January, 2018

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi--vii
                    Yu Shen and   
                 Han-Ying Liang   Quantile regression for partially linear
                                  varying-coefficient model with censoring
                                  indicators missing at random . . . . . . 1--18
                   Junyong Park   Simultaneous estimation based on
                                  empirical likelihood and general maximum
                                  likelihood estimation  . . . . . . . . . 19--31
                    Wei Cai and   
                 Guoyu Guan and   
                    Rui Pan and   
                Xuening Zhu and   
                  Hansheng Wang   Network linear discriminant analysis . . 32--44
                  Mahdi Roozbeh   Optimal QR-based estimation in partially
                                  linear regression models with correlated
                                  errors using GCV criterion . . . . . . . 45--61
           Debashis Samanta and   
                  Debasis Kundu   Order restricted inference of a multiple
                                  step-stress model  . . . . . . . . . . . 62--75
                     Hua Ma and   
           Andriy I. Bandos and   
                      David Gur   Informativeness of diagnostic marker
                                  values and the impact of data grouping   76--89
                   Kai Kang and   
         Vasileios Maroulas and   
            Ioannis Schizas and   
                       Feng Bao   Improved distributed particle filters
                                  for tracking in a wireless sensor
                                  network  . . . . . . . . . . . . . . . . 90--108
             Nicole Barthel and   
           Candida Geerdens and   
         Matthias Killiches and   
               Paul Janssen and   
                  Claudia Czado   Vine copula based likelihood estimation
                                  of dependence patterns in multivariate
                                  event time data  . . . . . . . . . . . . 109--127
                    Guangyu Mao   Testing independence in high dimensions
                                  using Kendall's tau  . . . . . . . . . . 128--137
           Yuliya Marchetti and   
                 Hai Nguyen and   
              Amy Braverman and   
                   Noel Cressie   Spatial data compression via adaptive
                                  dispersion clustering  . . . . . . . . . 138--153
              Radu V. Craiu and   
               Thierry Duchesne   A scalable and efficient covariate
                                  selection criterion for mixed effects
                                  regression models with unknown random
                                  effects structure  . . . . . . . . . . . 154--161
                   Peng Sun and   
                Inyoung Kim and   
                     Ki-Ahm Lee   Dual-semiparametric regression using
                                  weighted Dirichlet process mixture . . . 162--181
            T. Holland-Letz and   
              A. Kopp-Schneider   Optimal experimental designs for
                                  estimating the drug combination index in
                                  toxicology . . . . . . . . . . . . . . . 182--193
                Lifeng Deng and   
                 Jieli Ding and   
                 Yanyan Liu and   
                  Chengdong Wei   Regression analysis for the proportional
                                  hazards model with parameter constraints
                                  under case-cohort design . . . . . . . . 194--206


Computational Statistics & Data Analysis
Volume 118, Number ??, February, 2018

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi--vi
    Christopher C. Drovandi and   
          Matthew T. Moores and   
                Richard J. Boys   Accelerating pseudo-marginal MCMC using
                                  Gaussian processes . . . . . . . . . . . 1--17
                  Kai Huang and   
                         Jie Mi   A new non-parametric estimator for
                                  instant system availability  . . . . . . 18--29
                 F. Lombard and   
                     C. van Zyl   Signed sequential rank CUSUMs  . . . . . 30--39
               A. Buonocore and   
               A. G. Nobile and   
                     E. Pirozzi   Generating random variates from PDF of
                                  Gauss--Markov processes with a
                                  reflecting boundary  . . . . . . . . . . 40--53
               Binyan Jiang and   
                    Jialiang Li   Sample size determination for high
                                  dimensional parameter estimation with
                                  application to biomarker identification  54--65
                  Jianbo Li and   
                  Heng Lian and   
               Xuejun Jiang and   
                   Xinyuan Song   Estimation and testing for time-varying
                                  quantile single-index models with
                                  longitudinal data  . . . . . . . . . . . 66--83
             Ping-Yang Chen and   
              Ray-Bing Chen and   
                   C. Devon Lin   Optimizing two-level orthogonal arrays
                                  for simultaneously estimating main
                                  effects and pre-specified two-factor
                                  interactions . . . . . . . . . . . . . . 84--97
              Chang-Yun Lin and   
                        Po Yang   Robust multistratum baseline designs . . 98--111
                 Zhihua Sun and   
                     Xue Ye and   
                    Liuquan Sun   Consistent test for parametric models
                                  with right-censored data using
                                  projections  . . . . . . . . . . . . . . 112--125
                Haocheng Li and   
                     Di Shu and   
                Yukun Zhang and   
                    Grace Y. Yi   Simultaneous variable selection and
                                  estimation for multivariate multilevel
                                  longitudinal data with both continuous
                                  and binary responses . . . . . . . . . . 126--137


Computational Statistics & Data Analysis
Volume 119, Number ??, March, 2018

                      Anonymous   Editorial Board  . . . . . . . . . . . . iii--v
                      Anonymous   Contents . . . . . . . . . . . . . . . . vi--vi
    Spyridon J. Hatjispyros and   
          Christos Merkatas and   
        Theodoros Nicoleris and   
              Stephen G. Walker   Dependent mixtures of geometric weights
                                  priors . . . . . . . . . . . . . . . . . 1--18
        Luke R. Lloyd-Jones and   
             Hien D. Nguyen and   
          Geoffrey J. McLachlan   A globally convergent algorithm for
                                  lasso-penalized mixture of linear
                                  regression models  . . . . . . . . . . . 19--38
                  M. Karimi and   
                     G. Rey and   
                    A. Latouche   A joint modelling of socio-professional
                                  trajectories and cause-specific
                                  mortality  . . . . . . . . . . . . . . . 39--54
                  Luke Hartigan   Alternative HAC covariance matrix
                                  estimators with improved finite sample
                                  properties . . . . . . . . . . . . . . . 55--73
                 Yanyan Liu and   
                 Jing Zhang and   
                   Xingqiu Zhao   A new nonparametric screening method for
                                  ultrahigh-dimensional survival data  . . 74--85
             Sujit K. Ghosh and   
       Christopher B. Burns and   
           Daniel L. Prager and   
                   Li Zhang and   
                      Glenn Hui   On nonparametric estimation of the
                                  latent distribution for ordinal data . . 86--98
       Belmiro P. M. Duarte and   
           Guillaume Sagnol and   
                  Weng Kee Wong   An algorithm based on semidefinite
                                  programming for finding minimax optimal
                                  designs  . . . . . . . . . . . . . . . . 99--117
               Xiaolin Chen and   
              Xiaojing Chen and   
                      Hong Wang   Robust feature screening for ultra-high
                                  dimensional right censored data via
                                  distance correlation . . . . . . . . . . 118--138
                  G. Perrin and   
                   C. Soize and   
                       N. Ouhbi   Data-driven kernel representations for
                                  sampling with an unknown block
                                  dependence structure under correlation
                                  constraints  . . . . . . . . . . . . . . 139--154


Computational Statistics & Data Analysis
Volume 120, Number ??, April, 2018

                      Anonymous   Editorial Board  . . . . . . . . . . . . ii--iv
        Annamaria Carissimo and   
              Luisa Cutillo and   
                 Italia De Feis   Validation of community robustness . . . 1--24
             Jona Cederbaum and   
             Fabian Scheipl and   
                   Sonja Greven   Fast symmetric additive covariance
                                  smoothing  . . . . . . . . . . . . . . . 25--41
               Nicola Loperfido   Skewness-based projection pursuit: A
                                  computational approach . . . . . . . . . 42--57
               Hanfang Yang and   
                   Yichuan Zhao   Smoothed jackknife empirical likelihood
                                  for the one-sample difference of
                                  quantiles  . . . . . . . . . . . . . . . 58--69
         Christoph Bergmeir and   
             Rob J. Hyndman and   
                     Bonsoo Koo   A note on the validity of
                                  cross-validation for evaluating
                                  autoregressive time series prediction    70--83
              Marco Fattore and   
           Matteo Pelagatti and   
              Giorgio Vittadini   A least squares approach to latent
                                  variables extraction in
                                  formative--reflective models . . . . . . 84--97
                  Thomas Suesse   Marginal maximum likelihood estimation
                                  of SAR models with missing data  . . . . 98--110
               Jarno Hartog and   
               Harry van Zanten   Nonparametric Bayesian label prediction
                                  on a graph . . . . . . . . . . . . . . . 111--131


Computational Statistics & Data Analysis
Volume 121, Number ??, May, 2018

                      Anonymous   Editorial Board  . . . . . . . . . . . . ii--iv
             Shih-Kang Chao and   
    Wolfgang K. Härdle and   
                     Chen Huang   Multivariate factorizable expectile
                                  regression with application to fMRI data 1--19
    María Guadarrama and   
              Isabel Molina and   
                   J. N. K. Rao   Small area estimation of general
                                  parameters under complex sampling
                                  designs  . . . . . . . . . . . . . . . . 20--40
                 Junmo Song and   
                     Jiwon Kang   Parameter change tests for ARMA--GARCH
                                  models . . . . . . . . . . . . . . . . . 41--56
               Miao-Yu Tsai and   
                  Chao-Chun Lin   Concordance correlation coefficients
                                  estimated by variance components for
                                  longitudinal normal and Poisson data . . 57--70
         Suneel Babu Chatla and   
                  Galit Shmueli   Efficient estimation of COM--Poisson
                                  regression and a generalized additive
                                  model  . . . . . . . . . . . . . . . . . 71--88
                 Liang Shan and   
                    Inyoung Kim   Joint estimation of multiple Gaussian
                                  graphical models across unbalanced
                                  classes  . . . . . . . . . . . . . . . . 89--103
                Huiming Lin and   
                 Guoyou Qin and   
               Jiajia Zhang and   
                    Zhongyi Zhu   Analysis of longitudinal data with
                                  covariate measurement error and missing
                                  responses: An improved unbiased
                                  estimating equation  . . . . . . . . . . 104--112
                    Hang Xu and   
                 Mayer Alvo and   
                Philip L. H. Yu   Angle-based models for ranking data  . . 113--136
                  G. Amorim and   
                    O. Thas and   
               K. Vermeulen and   
            S. Vansteelandt and   
                     J. De Neve   Small sample inference for probabilistic
                                  index models . . . . . . . . . . . . . . 137--148
              Clara Grazian and   
            Christian P. Robert   Jeffreys priors for mixture estimation:
                                  Properties and alternatives  . . . . . . 149--163
             M. A. O. Souza and   
                H. S. Migon and   
               J. B. M. Pereira   Extended dynamic generalized linear
                                  models: The two-parameter exponential
                                  family . . . . . . . . . . . . . . . . . 164--179
                    Qingyun Cai   A scoring criterion for rejection of
                                  clustered $p$-values . . . . . . . . . . 180--189
                  Xuwen Zhu and   
             Volodymyr Melnykov   Manly transformation in finite mixture
                                  modeling . . . . . . . . . . . . . . . . 190--208


Computational Statistics & Data Analysis
Volume 122, Number ??, June, 2018

                      Anonymous   Editorial Board  . . . . . . . . . . . . ii--iv
                Robin Ristl and   
                    Dong Xi and   
             Ekkehard Glimm and   
                   Martin Posch   Optimal exact tests for multiple binary
                                  endpoints  . . . . . . . . . . . . . . . 1--17
               Xiaodong Yan and   
             Niansheng Tang and   
                 Jinhan Xie and   
               Xianwen Ding and   
                  Zhiqiang Wang   Fused mean-variance filter for feature
                                  screening  . . . . . . . . . . . . . . . 18--32
             Naif Alzahrani and   
                 Peter Neal and   
        Simon E. F. Spencer and   
      Trevelyan J. McKinley and   
            Panayiota Touloupou   Model selection for time series of count
                                  data . . . . . . . . . . . . . . . . . . 33--44
                   Ying Sun and   
              Xiaohui Chang and   
                   Yongtao Guan   Flexible and efficient estimating
                                  equations for variogram estimation . . . 45--58
                Unkyung Lee and   
                Yanqing Sun and   
          Thomas H. Scheike and   
               Peter B. Gilbert   Analysis of generalized semiparametric
                                  regression models for cumulative
                                  incidence functions with missing
                                  covariates . . . . . . . . . . . . . . . 59--79
                  Long Feng and   
                  Lee H. Dicker   Approximate nonparametric maximum
                                  likelihood for mixture models: A convex
                                  optimization approach to fitting
                                  arbitrary multivariate mixing
                                  distributions  . . . . . . . . . . . . . 80--91
           William Biscarri and   
            Sihai Dave Zhao and   
              Robert J. Brunner   A simple and fast method for computing
                                  the Poisson binomial distribution
                                  function . . . . . . . . . . . . . . . . 92--100
              So Young Park and   
                   Luo Xiao and   
          Jayson D. Willbur and   
           Ana-Maria Staicu and   
  N. L'ntshotsholé Jumbe   A joint design for functional data with
                                  application to scheduling ultrasound
                                  scans  . . . . . . . . . . . . . . . . . 101--114
                Evgeny Levi and   
                  Radu V. Craiu   Bayesian inference for conditional
                                  copulas using Gaussian Process single
                                  index models . . . . . . . . . . . . . . 115--134
 Sebastian J. Teran Hidalgo and   
              Michael C. Wu and   
         Stephanie M. Engel and   
             Michael R. Kosorok   Goodness-of-fit test for nonparametric
                                  regression models: Smoothing spline
                                  ANOVA models as example  . . . . . . . . 135--155
                 Dewei Wang and   
     Christopher S. McMahan and   
            Joshua M. Tebbs and   
          Christopher R. Bilder   Group testing case identification with
                                  biomarker information  . . . . . . . . . 156--166


Computational Statistics & Data Analysis
Volume 123, Number ??, July, 2018

                      Anonymous   Editorial Board  . . . . . . . . . . . . ii--iv
            Ondrej Vencalek and   
               Oleksii Pokotylo   Depth-weighted Bayes classification  . . 1--12
          J. M. J. Huttunen and   
               J. P. Kaipio and   
                      H. Haario   Approximation error approach in
                                  spatiotemporally chaotic models with
                                  application to Kuramoto--Sivashinsky
                                  equation . . . . . . . . . . . . . . . . 13--31
                     Mao Ye and   
                 Peng Zhang and   
                     Lizhen Nie   Clustering sparse binary data with
                                  hierarchical Bayesian Bernoulli mixture
                                  model  . . . . . . . . . . . . . . . . . 32--49
              Kyeongeun Lee and   
               Young K. Lee and   
             Byeong U. Park and   
                  Seong J. Yang   Time-dynamic varying coefficient models
                                  for longitudinal data  . . . . . . . . . 50--65
           R. Talská and   
              A. Menafoglio and   
        J. Machalová and   
                    K. Hron and   
             E. Fiserová   Compositional regression with functional
                                  response . . . . . . . . . . . . . . . . 66--85
       Francesco Bartolucci and   
     Maria Francesca Marino and   
                Silvia Pandolfi   Dealing with reciprocity in dynamic
                                  stochastic block models  . . . . . . . . 86--100
             Julien Jacques and   
           Christophe Biernacki   Model-based co-clustering for ordinal
                                  data . . . . . . . . . . . . . . . . . . 101--115
      Andrew Zammit-Mangion and   
               Jonathan Rougier   A sparse linear algebra algorithm for
                                  fast computation of prediction variances
                                  with Gaussian Markov random fields . . . 116--130
                 Tom Stindl and   
                      Feng Chen   Likelihood based inference for the
                                  multivariate renewal Hawkes process  . . 131--145
                  Yue Zhang and   
                      Bin Zhang   Semiparametric spatial model for
                                  interval-censored data with time-varying
                                  covariate effects  . . . . . . . . . . . 146--156


Computational Statistics & Data Analysis
Volume 124, Number ??, August, 2018

                      Anonymous   Editorial Board  . . . . . . . . . . . . ii--iv
               Igor L. Kheifets   Multivariate specification tests based
                                  on a dynamic Rosenblatt transform  . . . 1--14
                    Jia Guo and   
                    Bu Zhou and   
                 Jin-Ting Zhang   Testing the equality of several
                                  covariance functions for functional
                                  data: A supremum-norm based test . . . . 15--26
                 T. P. Yuen and   
                    H. Wong and   
                   K. F. C. Yiu   On constrained estimation of graphical
                                  time series models . . . . . . . . . . . 27--52
              Mengjiao Peng and   
               Liming Xiang and   
                  Shanshan Wang   Semiparametric regression analysis of
                                  clustered survival data with
                                  semi-competing risks . . . . . . . . . . 53--70
             David J. Warne and   
              Ruth E. Baker and   
             Matthew J. Simpson   Multilevel rejection sampling for
                                  approximate Bayesian computation . . . . 71--86
             Haruhiko Ogasawara   A family of the information criteria
                                  using the phi-divergence for categorical
                                  data . . . . . . . . . . . . . . . . . . 87--103
             Jeffrey Daniel and   
             Julie Horrocks and   
                Gary J. Umphrey   Penalized composite likelihoods for
                                  inhomogeneous Gibbs point process models 104--116
        P. Y. O'Shaughnessy and   
                    A. H. Welsh   Bootstrapping longitudinal data with
                                  multiple levels of variation . . . . . . 117--131
                    Yong He and   
             Xinsheng Zhang and   
                    Liwen Zhang   Variable selection for high dimensional
                                  Gaussian copula regression model: An
                                  adaptive hypothesis testing procedure    132--150
           Oswaldo Gressani and   
               Philippe Lambert   Fast Bayesian inference using Laplace
                                  approximations in a flexible promotion
                                  time cure model based on $P$-splines . . 151--167
                   Wenfu Xu and   
                 Jingya Gao and   
                 Feifang Hu and   
                Siu Hung Cheung   Response-adaptive treatment allocation
                                  for non-inferiority trials with
                                  heterogeneous variances  . . . . . . . . 168--179
             Shuichi Kawano and   
          Hironori Fujisawa and   
            Toyoyuki Takada and   
            Toshihiko Shiroishi   Sparse principal component regression
                                  for generalized linear models  . . . . . 180--196
            Cristiano Villa and   
             Francisco J. Rubio   Objective priors for the number of
                                  degrees of freedom of a multivariate $t$
                                  distribution and the $t$-copula  . . . . 197--219
       Panagiotis Papastamoulis   Overfitting Bayesian mixtures of factor
                                  analyzers with an unknown number of
                                  components . . . . . . . . . . . . . . . 220--234
                Xingjie Shi and   
                 Yuan Huang and   
                 Jian Huang and   
                    Shuangge Ma   A Forward and Backward Stagewise
                                  algorithm for nonconvex loss functions
                                  with adaptive Lasso  . . . . . . . . . . 235--251
            Lo\"\ic Giraldi and   
    Olivier P. Le Ma\^\itre and   
             Ibrahim Hoteit and   
                   Omar M. Knio   Optimal projection of observations in a
                                  Bayesian setting . . . . . . . . . . . . 252--276
      Mahasen B. Dehideniya and   
    Christopher C. Drovandi and   
                James M. McGree   Optimal Bayesian design for
                                  discriminating between models with
                                  intractable likelihoods in epidemiology  277--297


Computational Statistics & Data Analysis
Volume 125, Number ??, September, 2018

                      Anonymous   Editorial Board  . . . . . . . . . . . . ii--iv
               Shuying Wang and   
               Chunjie Wang and   
                Peijie Wang and   
                    Jianguo Sun   Semiparametric analysis of the additive
                                  hazards model with informatively
                                  interval-censored failure time data  . . 1--9
            Jason Cleveland and   
               Weilong Zhao and   
                         Wei Wu   Robust template estimation for
                                  functional data with phase variability
                                  using band depth . . . . . . . . . . . . 10--26
                   Sungkyu Jung   Continuum directions for supervised
                                  dimension reduction  . . . . . . . . . . 27--43
                 Peirong Xu and   
                  Heng Peng and   
                      Tao Huang   Unsupervised learning of mixture
                                  regression models for longitudinal data  44--56
               Ville Vuollo and   
           Lasse Holmström   A scale space approach for exploring
                                  structure in spherical data  . . . . . . 57--69
             Md. Ashad Alam and   
           Vince D. Calhoun and   
                   Yu-Ping Wang   Identifying outliers using multiple
                                  kernel canonical correlation analysis
                                  with application to imaging genetics . . 70--85
              Stijn E. Luca and   
       Marco A. F. Pimentel and   
         Peter J. Watkinson and   
               David A. Clifton   Point process models for novelty
                                  detection on spatial point patterns and
                                  their extremes . . . . . . . . . . . . . 86--103
              Ben Berckmoes and   
               Anna Ivanova and   
              Geert Molenberghs   On the sample mean after a group
                                  sequential trial . . . . . . . . . . . . 104--118
               Lianqiang Qu and   
               Xinyuan Song and   
                    Liuquan Sun   Identification of local sparsity and
                                  variable selection for varying
                                  coefficient additive hazards models  . . 119--135
            Liliana Forzani and   
Rodrigo García Arancibia and   
                Pamela Llop and   
                  Diego Tomassi   Supervised dimension reduction for
                                  ordinal predictors . . . . . . . . . . . 136--155
             Scott Marchese and   
                   Guoqing Diao   Joint regression analysis of mixed-type
                                  outcome data via efficient scores  . . . 156--170


Computational Statistics & Data Analysis
Volume 126, Number ??, October, 2018

                      Anonymous   Editorial Board  . . . . . . . . . . . . ii--iv
             Luis E. Castro and   
               Nazrul I. Shaikh   A particle-learning-based approach to
                                  estimate the influence matrix of online
                                  social networks  . . . . . . . . . . . . 1--18
              Hukum Chandra and   
             Nicola Salvati and   
                   Ray Chambers   Small area estimation under a spatially
                                  non-linear model . . . . . . . . . . . . 19--38
               Lu-Hung Chen and   
                   Ci-Ren Jiang   Sensible functional linear discriminant
                                  analysis . . . . . . . . . . . . . . . . 39--52
            G. S. Rodrigues and   
                 D. Prangle and   
                   S. A. Sisson   Recalibration: a post-processing method
                                  for approximate Bayesian computation . . 53--66
               Yuexiao Dong and   
                     Qi Xia and   
            Cheng Yong Tang and   
                        Zeda Li   On sufficient dimension reduction with
                                  missing responses through estimating
                                  equations  . . . . . . . . . . . . . . . 67--77
                Zemin Zheng and   
                    Yang Li and   
                Chongxiu Yu and   
                     Gaorong Li   Balanced estimation for high-dimensional
                                  measurement error models . . . . . . . . 78--91
             Mauro Bernardi and   
              Marco Bottone and   
                   Lea Petrella   Bayesian quantile regression using the
                                  skew exponential power distribution  . . 92--111
             David J. Price and   
              Nigel G. Bean and   
             Joshua V. Ross and   
                  Jonathan Tuke   An induced natural selection heuristic
                                  for finding optimal Bayesian
                                  experimental designs . . . . . . . . . . 112--124
                 Sangin Lee and   
                Youngjo Lee and   
                   Yudi Pawitan   Sparse pathway-based prediction models
                                  for high-throughput molecular data . . . 125--135
         Massimiliano Russo and   
            Daniele Durante and   
                   Bruno Scarpa   Bayesian inference on group differences
                                  in multivariate categorical data . . . . 136--149
              Ryosuke Igari and   
               Takahiro Hoshino   A Bayesian data combination approach for
                                  repeated durations under unobserved
                                  missing indicators: Application to
                                  interpurchase-timing in marketing  . . . 150--166


Computational Statistics & Data Analysis
Volume 127, Number ??, November, 2018

                      Anonymous   Editorial Board  . . . . . . . . . . . . ii--iv
         Malgorzata Wojty's and   
            Giampiero Marra and   
                 Rosalba Radice   Copula based generalized additive models
                                  for location, scale and shape with
                                  non-random sample selection  . . . . . . 1--14
                 Xinjie Dai and   
                Cuizhen Niu and   
                         Xu Guo   Testing for central symmetry and
                                  inference of the unknown center  . . . . 15--31
                Weihua Zhao and   
                   Yan Zhou and   
                      Heng Lian   Time-varying quantile single-index model
                                  for multivariate responses . . . . . . . 32--49
                   Nan Chen and   
          Bradley P. Carlin and   
                 Brian P. Hobbs   Web-based statistical tools for the
                                  analysis and design of clinical trials
                                  that incorporate historical controls . . 50--68
                Huiqiong Li and   
              Guoliang Tian and   
             Niansheng Tang and   
                   Hongyuan Cao   Assessing non-inferiority for incomplete
                                  paired-data under non-ignorable missing
                                  mechanism  . . . . . . . . . . . . . . . 69--81
                  Shuo Chen and   
                  Jian Kang and   
                 Yishi Xing and   
               Yunpeng Zhao and   
               Donald K. Milton   Estimating large covariance matrix with
                                  network topology for high-dimensional
                                  biomedical data  . . . . . . . . . . . . 82--95
                J. Giguelay and   
                        S. Huet   Testing $k$-monotonicity of a discrete
                                  distribution. Application to the
                                  estimation of the number of classes in a
                                  population . . . . . . . . . . . . . . . 96--115
              Kyoungjae Lee and   
                Jaeyong Lee and   
                  Sarat C. Dass   Inference for differential equation
                                  models using relaxation via dynamical
                                  systems  . . . . . . . . . . . . . . . . 116--134
Pablo Álvarez de Toledo and   
Fernando Núñez and   
                Carlos Usabiaga   Matching and clustering in square
                                  contingency tables. Who matches with
                                  whom in the Spanish labour market  . . . 135--159
             Jeffrey L. Andrews   Addressing overfitting and underfitting
                                  in Gaussian model-based clustering . . . 160--171
                 Priyam Das and   
               Subhashis Ghosal   Bayesian non-parametric simultaneous
                                  quantile regression for complete and
                                  grid data  . . . . . . . . . . . . . . . 172--186
         Arnab Bhattacharya and   
                Simon P. Wilson   Sequential Bayesian inference for static
                                  parameters in dynamic state space models 187--203
                   Xin Zhao and   
              Stuart Barber and   
          Charles C. Taylor and   
                     Zoka Milan   Classification tree methods for panel
                                  data using wavelet-transformed time
                                  series . . . . . . . . . . . . . . . . . 204--216
                     Jun Yu and   
             Xiangshun Kong and   
                 Mingyao Ai and   
                Kwok Leung Tsui   Optimal designs for dose-response models
                                  with linear effects of covariates  . . . 217--228
        Michael Minyi Zhang and   
                  Henry Lam and   
                     Lizhen Lin   Robust and parallel Bayesian model
                                  selection  . . . . . . . . . . . . . . . 229--247
            Tony S. T. Wong and   
               Kwok Fai Lam and   
               Victoria X. Zhao   Asymptotic null distribution of the
                                  modified likelihood ratio test for
                                  homogeneity in finite mixture models . . 248--257
                 Sixia Chen and   
                   David Haziza   Jackknife empirical likelihood method
                                  for multiply robust estimation with
                                  missing data . . . . . . . . . . . . . . 258--268
                Weihua Zhao and   
               Xuejun Jiang and   
                      Heng Lian   A principal varying-coefficient model
                                  for quantile regression: Joint variable
                                  selection and dimension reduction  . . . 269--280
           Aliaksandr Hubin and   
                   Geir Storvik   Mode jumping MCMC for Bayesian variable
                                  selection in GLMM  . . . . . . . . . . . 281--297
                   Ying Liu and   
                  Yawen Liu and   
                  Tonglin Zhang   Wald-based spatial scan statistics for
                                  cluster detection  . . . . . . . . . . . 298--310


Computational Statistics & Data Analysis
Volume 128, Number ??, December, 2018

                      Anonymous   Editorial Board  . . . . . . . . . . . . ii--iv
          Guillaume Chauvet and   
               Wilfried Do Paco   Exact balanced random imputation for
                                  sample survey data . . . . . . . . . . . 1--16
           Jularat Chumnaul and   
            Mohammad Sepehrifar   Generalized confidence interval for the
                                  scale parameter of the power-law process
                                  with incomplete failure data . . . . . . 17--33
                   Lilun Du and   
                    Wei Lan and   
                Ronghua Luo and   
                 Pingshou Zhong   Factor-adjusted multiple testing of
                                  correlations . . . . . . . . . . . . . . 34--47
                David Lenis and   
          Benjamin Ackerman and   
            Elizabeth A. Stuart   Measuring model misspecification:
                                  Application to propensity score methods
                                  with complex survey data . . . . . . . . 48--57
                  Hongfan Zhang   Quasi-likelihood estimation of the
                                  single index conditional variance model  58--72
                Eric J. Beh and   
           Rosaria Lombardo and   
              Gianmarco Alberti   Correspondence analysis and the
                                  Freeman--Tukey statistic: a study of
                                  archaeological data  . . . . . . . . . . 73--86
                  Jun Zhang and   
              Zhenghui Feng and   
                      Heng Peng   Estimation and hypothesis test for
                                  partial linear multiplicative models . . 87--103
                 Ujjwal Das and   
                     Kalyan Das   Inference on zero inflated ordinal
                                  models with semiparametric link  . . . . 104--115
            Chyong-Mei Chen and   
             Pao-sheng Shen and   
                  Yi-Kuan Tseng   Semiparametric transformation joint
                                  models for longitudinal covariates and
                                  interval-censored failure time . . . . . 116--127
                Xing Ju Lee and   
               Markus Hainy and   
           James P. McKeone and   
    Christopher C. Drovandi and   
             Anthony N. Pettitt   ABC model selection for spatial extremes
                                  models applied to South Australian
                                  maximum temperature data . . . . . . . . 128--144
                Cuizhen Niu and   
                     Xu Guo and   
                    Yong Li and   
                     Lixing Zhu   Pairwise distance-based tests for
                                  conditional symmetry . . . . . . . . . . 145--162
       N. Santitissadeekorn and   
                M. B. Short and   
                 D. J. B. Lloyd   Sequential data assimilation for $1$D
                                  self-exciting processes with application
                                  to urban crime data  . . . . . . . . . . 163--183
          Aurore Archimbaud and   
           Klaus Nordhausen and   
                Anne Ruiz-Gazen   ICS for multivariate outlier detection
                                  with application to quality control  . . 184--199
                 A. Celisse and   
                   G. Marot and   
             M. Pierre-Jean and   
                  G. J. Rigaill   New efficient algorithms for multiple
                                  change-point detection with reproducing
                                  kernels  . . . . . . . . . . . . . . . . 200--220
           Lampros Bouranis and   
                 Nial Friel and   
                  Florian Maire   Model comparison for Gibbs random fields
                                  using noisy reversible jump Markov chain
                                  Monte Carlo  . . . . . . . . . . . . . . 221--241
                     Jun Lu and   
                         Lu Lin   Feature screening for multi-response
                                  varying coefficient models with
                                  ultrahigh dimensional predictors . . . . 242--254
               Daniel K. Sewell   Visualizing data through curvilinear
                                  representations of matrices  . . . . . . 255--270
           Victor M.-H. Ong and   
              David J. Nott and   
             Minh-Ngoc Tran and   
            Scott A. Sisson and   
        Christopher C. Drovandi   Likelihood-free inference in high
                                  dimensions with synthetic likelihood . . 271--291
                   Peili Li and   
                    Yunhai Xiao   An efficient algorithm for sparse
                                  inverse covariance matrix estimation
                                  based on dual formulation  . . . . . . . 292--307
               Sy Han Chiou and   
                  Jing Qian and   
          Elizabeth Mormino and   
            Rebecca A. Betensky   Permutation tests for general dependent
                                  truncation . . . . . . . . . . . . . . . 308--324
                     Xu Guo and   
                   Yun Fang and   
                  Xuehu Zhu and   
                  Wangli Xu and   
                     Lixing Zhu   Semiparametric double robust and
                                  efficient estimation for mean
                                  functionals with response missing at
                                  random . . . . . . . . . . . . . . . . . 325--339
                  J. T. Fry and   
                Matt Slifko and   
                 Scotland Leman   Generalized biplots for stress-based
                                  multidimensionally scaled projections    340--353
Prabhashi W. Withana Gamage and   
     Christopher S. McMahan and   
              Lianming Wang and   
                      Wanzhu Tu   A Gamma-frailty proportional hazards
                                  model for bivariate interval-censored
                                  data . . . . . . . . . . . . . . . . . . 354--366
    Christian H. Weiß and   
              Detlef Steuer and   
            Carsten Jentsch and   
             Murat Caner Testik   Guaranteed conditional ARL performance
                                  in the presence of autocorrelation . . . 367--379
            Grzegorz Sikora and   
     Agnieszka Wyloma\'nska and   
                    Diego Krapf   Recurrence statistics for anomalous
                                  diffusion regime change detection  . . . 380--394
                Ketong Wang and   
              Michael D. Porter   Optimal Bayesian clustering using
                                  non-negative matrix factorization  . . . 395--411


Computational Statistics & Data Analysis
Volume 129, Number ??, January, 2019

                      Anonymous   Editorial Board  . . . . . . . . . . . . ii--iv
                     L. Lin and   
                  D. K. H. Fong   Bayesian multidimensional scaling
                                  procedure with variable selection  . . . 1--13
                     Kan Li and   
                      Sheng Luo   Bayesian functional joint models for
                                  multivariate longitudinal and
                                  time-to-event data . . . . . . . . . . . 14--29
          Thorsten Dickhaus and   
     Natalia Sirotko-Sibirskaya   Simultaneous statistical inference in
                                  dynamic factor models: Chi-square
                                  approximation and model-based bootstrap  30--46
          Roberto F. Manghi and   
Francisco José A. Cysneiros and   
              Gilberto A. Paula   Generalized additive partial linear
                                  models for analyzing correlated data . . 47--60
     Laurentiu C. Hinoveanu and   
            Fabrizio Leisen and   
                Cristiano Villa   Bayesian loss-based approach to change
                                  point analysis . . . . . . . . . . . . . 61--78
                  Yong Zang and   
              Wing Kam Fung and   
                    Sha Cao and   
          Hon Keung Tony Ng and   
                      Chi Zhang   Robust tests for gene-environment
                                  interaction in case-control and
                                  case-only designs  . . . . . . . . . . . 79--92
                   Dalei Yu and   
                 Chang Ding and   
                      Na He and   
                 Ruiwu Wang and   
               Xiaohua Zhou and   
                        Lei Shi   Robust estimation and confidence
                                  interval in meta-regression models . . . 93--118
            Hsiang-Ling Hsu and   
       Yuan-chin Ivan Chang and   
                  Ray-Bing Chen   Greedy active learning algorithm for
                                  logistic regression models . . . . . . . 119--134
                Haiqiang Ma and   
                    Ting Li and   
                 Hongtu Zhu and   
                    Zhongyi Zhu   Quantile regression for functional
                                  partially linear model in ultra-high
                                  dimensions . . . . . . . . . . . . . . . 135--147


Computational Statistics & Data Analysis
Volume 130, Number ??, February, 2019

                      Anonymous   Editorial Board  . . . . . . . . . . . . ii--iv
       Daniel Flores-Agreda and   
                    Eva Cantoni   Bootstrap estimation of uncertainty in
                                  prediction for generalized linear mixed
                                  models . . . . . . . . . . . . . . . . . 1--17
                 Yuhong Wei and   
                  Yang Tang and   
             Paul D. McNicholas   Mixtures of generalized hyperbolic
                                  distributions and mixtures of skew-$t$
                                  distributions for model-based clustering
                                  with incomplete data . . . . . . . . . . 18--41
                    Xia Cui and   
                Weihua Zhao and   
                  Heng Lian and   
                      Hua Liang   Pursuit of dynamic structure in quantile
                                  additive models with longitudinal data   42--60
               Kim Samejima and   
          Pedro A. Morettin and   
       João Ricardo Sato   Directed wavelet covariance  . . . . . . 61--79
                David Bolin and   
               Jonas Wallin and   
                  Finn Lindgren   Latent Gaussian random field mixture
                                  models . . . . . . . . . . . . . . . . . 80--93
                   Lixia Hu and   
                  Tao Huang and   
                    Jinhong You   Two-step estimation of time-varying
                                  additive model for locally stationary
                                  time series  . . . . . . . . . . . . . . 94--110
E. S. García Treviño and   
   V. Alarcón Aquino and   
                   J. A. Barria   The radial wavelet frame density
                                  estimator  . . . . . . . . . . . . . . . 111--139


Computational Statistics & Data Analysis
Volume 131, Number ??, 2019

                      Anonymous   Editorial Board  . . . . . . . . . . . . ii--iv
                 Jae C. Lee and   
Erricos John Kontoghiorghes and   
                 Ana Colubi and   
                    Byeong Park   Interview of Professor Stanley Azen,
                                  Founder of \booktitleComputational
                                  Statistics and Data Analysis (CSDA)  . . 1--1
            Abdelmonem A. Afifi   Stan Azen: a Master of Numbers and Notes 2--9
           Frederic Ferraty and   
             Piotr Kokoszka and   
             Jane-Ling Wang and   
                      Yichao Wu   Editorial for the special issue on
                                  High-dimensional and functional data
                                  analysis . . . . . . . . . . . . . . . . 10--11
             Shadi Abpeykar and   
               Mehdi Ghatee and   
                      Hadi Zare   Ensemble decision forest of RBF networks
                                  via hybrid feature clustering approach
                                  for high-dimensional data classification 12--36
               Yeonjoo Park and   
             Douglas G. Simpson   Robust probabilistic classification
                                  applicable to irregularly sampled
                                  functional data  . . . . . . . . . . . . 37--49
                 Wenlin Dai and   
                 Marc G. Genton   Directional outlyingness for
                                  multivariate functional data . . . . . . 50--65
Israel Martínez-Hernández and   
             Marc G. Genton and   
Graciela González-Farías   Robust depth-based estimation of the
                                  functional autoregressive model  . . . . 66--79
                    Bo Wang and   
                      Aiping Xu   Gaussian process methods for
                                  nonparametric functional regression with
                                  mixed predictors . . . . . . . . . . . . 80--90
       Manuel Febrero-Bande and   
              Pedro Galeano and   
Wenceslao González-Manteiga   Estimation, imputation and prediction
                                  for the functional linear model with
                                  scalar response with responses missing
                                  at random  . . . . . . . . . . . . . . . 91--103
              Dominik Liebl and   
               Stefan Rameseder   Partially observed functional data: the
                                  case of systematically missing parts . . 104--115
                  M. Rauf Ahmad   A significance test of the RV
                                  coefficient in high dimensions . . . . . 116--130
         Raymond K. W. Wong and   
                   Xiaoke Zhang   Nonparametric operator-regularized
                                  covariance function estimation for
                                  functional data  . . . . . . . . . . . . 131--144
               Yaohua Zhang and   
                   Jian Zou and   
         Nalini Ravishanker and   
   Aerambamoorthy Thavaneswaran   Modeling financial durations using
                                  penalized estimating functions . . . . . 145--158
                    Eric Fu and   
                  Nancy Heckman   Model-based curve registration via
                                  stochastic approximation EM algorithm    159--175
              Joshua French and   
             Piotr Kokoszka and   
              Stilian Stoev and   
                    Lauren Hall   Quantifying the risk of heat waves using
                                  extreme value theory and spatio-temporal
                                  functional data  . . . . . . . . . . . . 176--193
                Peijun Sang and   
            Liangliang Wang and   
                      Jiguo Cao   Weighted empirical likelihood inference
                                  for dynamical correlations . . . . . . . 194--206
                 Keren Shen and   
               Jianfeng Yao and   
                   Wai Keung Li   On a spiked model for large volatility
                                  matrix estimation from noisy
                                  high-frequency data  . . . . . . . . . . 207--221
                     Mu Yue and   
                Jialiang Li and   
                 Ming-Yen Cheng   Two-step sparse boosting for
                                  high-dimensional longitudinal data with
                                  varying coefficients . . . . . . . . . . 222--234


Computational Statistics & Data Analysis
Volume 132, Number ??, 2019

                      Anonymous   Editorial Board  . . . . . . . . . . . . ii--iv
             Ming-Yen Cheng and   
           Michele Guindani and   
                Jae Won Lee and   
                      Yi Li and   
         Catherine Chunling Liu   Special Issue on Biostatistics . . . . . 1--2
             Jin-Ting Zhang and   
             Ming-Yen Cheng and   
               Hau-Tieng Wu and   
                        Bu Zhou   A new test for functional one-way ANOVA
                                  with applications to ischemic heart
                                  screening  . . . . . . . . . . . . . . . 3--17
              Valeria Sambucini   Bayesian predictive monitoring with
                                  bivariate binary outcomes in phase II
                                  clinical trials  . . . . . . . . . . . . 18--30
            P. J. Godolphin and   
                E. J. Godolphin   Robust assessment of two-treatment
                                  higher-order cross-over designs against
                                  missing values . . . . . . . . . . . . . 31--45
          Sayantan Banerjee and   
               Rehan Akbani and   
Veerabhadran Baladandayuthapani   Spectral clustering via sparse graph
                                  structure learning with application to
                                  proteomic signaling networks in cancer   46--69
        Shrabanti Chowdhury and   
              Ram C. Tiwari and   
                  Samiran Ghosh   Non-inferiority testing for risk ratio,
                                  odds ratio and number needed to treat in
                                  three-arm trial  . . . . . . . . . . . . 70--83
              Rachel Heyard and   
                  Leonhard Held   The quantile probability model . . . . . 84--99
                   Kevin He and   
                  Jian Kang and   
          Hyokyoung G. Hong and   
                     Ji Zhu and   
                 Yanming Li and   
                Huazhen Lin and   
                     Han Xu and   
                          Yi Li   Covariance-insured screening . . . . . . 100--114
                     Xue Yu and   
                   Yichuan Zhao   Empirical likelihood inference for
                                  semi-parametric transformation models
                                  with length-biased sampling  . . . . . . 115--125
        Antony M. Overstall and   
             David C. Woods and   
               Kieran J. Martin   Bayesian prediction for physical models
                                  with application to the optimization of
                                  the synthesis of pharmaceutical products
                                  using chemical kinetics  . . . . . . . . 126--142
             Jochen Einbeck and   
                 John Hinde and   
        Salvatore Ingrassia and   
               Tsung-I. Lin and   
             Paul D. McNicholas   Editorial for the 4th Special Issue on
                                  advances in mixture models . . . . . . . 143--144
           Katherine Morris and   
              Antonio Punzo and   
         Paul D. McNicholas and   
                 Ryan P. Browne   Asymmetric clusters and outliers:
                                  Mixtures of multivariate contaminated
                                  shifted asymmetric Laplace distributions 145--166
            Matthieu Marbac and   
             Vincent Vandewalle   A tractable multi-partitions clustering  167--179
       Supawadee Wichitchan and   
                 Weixin Yao and   
                  Guangren Yang   Hypothesis testing for finite mixture
                                  models . . . . . . . . . . . . . . . . . 180--189
                 Ye-Mao Xia and   
                Nian-Sheng Tang   Bayesian analysis for mixture of latent
                                  variable hidden Markov models with
                                  multivariate longitudinal data . . . . . 190--211
              Ilmari Ahonen and   
          Jaakko Nevalainen and   
                 Denis Larocque   Prediction with a flexible finite
                                  mixture-of-regressions . . . . . . . . . 212--224


Computational Statistics & Data Analysis
Volume 133, Number ??, May, 2019

                      Anonymous   Editorial Board  . . . . . . . . . . . . ii--iv
             Chun-Xia Zhang and   
                  Shuang Xu and   
                Jiang-She Zhang   A novel variational Bayesian method for
                                  variable selection in logistic
                                  regression models  . . . . . . . . . . . 1--19
           Marina Bogomolov and   
                    Ori Davidov   Order restricted univariate and
                                  multivariate inference with adjustment
                                  for covariates in partially linear
                                  models . . . . . . . . . . . . . . . . . 20--27
             Myeonggyun Lee and   
                   Inkyung Jung   Modified spatial scan statistics using a
                                  restricted likelihood ratio for ordinal
                                  outcome data . . . . . . . . . . . . . . 28--39
                    Rui Zhu and   
               Subhashis Ghosal   Bayesian Semiparametric ROC surface
                                  estimation under verification bias . . . 40--52
         Thomas Kirschstein and   
          Steffen Liebscher and   
          Giuseppe Pandolfo and   
         Giovanni C. Porzio and   
             Giancarlo Ragozini   On finite-sample robustness of
                                  directional location estimators  . . . . 53--75
                  Ying Chen and   
                 Linlin Niu and   
              Ray-Bing Chen and   
                       Qiang He   Sparse-Group Independent Component
                                  Analysis with application to yield
                                  curves prediction  . . . . . . . . . . . 76--89
     Arkadiusz Wi\'sniowski and   
                Jakub Bijak and   
        Jonathan J. Forster and   
              Peter W. F. Smith   Hierarchical model for forecasting the
                                  outcomes of binary referenda . . . . . . 90--103
               Hangsuck Lee and   
               Jae Youn Ahn and   
                     Bangwon Ko   Construction of multiple decrement
                                  tables under generalized fractional age
                                  assumptions  . . . . . . . . . . . . . . 104--119
                J. D. Godolphin   Two-level factorial and fractional
                                  factorial replicates in blocks of size
                                  two  . . . . . . . . . . . . . . . . . . 120--137
                 Ying Sheng and   
                     Qihua Wang   Simultaneous variable selection and
                                  class fusion with penalized distance
                                  criterion based classifiers  . . . . . . 138--152
                  Shuwei Li and   
                     Tao Hu and   
               Xingqiu Zhao and   
                    Jianguo Sun   A class of semiparametric transformation
                                  cure models for interval-censored
                                  failure time data  . . . . . . . . . . . 153--165
                   Shibin Zhang   Bayesian copula spectral analysis for
                                  stationary time series . . . . . . . . . 166--179
                  Fang Fang and   
                  Yuanyuan Chen   A new approach for credit scoring by
                                  directly maximizing the
                                  Kolmogorov--Smirnov statistic  . . . . . 180--194
            N. Karavarsamis and   
                  R. M. Huggins   Two-stage approaches to the analysis of
                                  occupancy data II. The heterogeneous
                                  model and conditional likelihood . . . . 195--207
             Niansheng Tang and   
                  Linli Xia and   
                   Xiaodong Yan   Feature screening in
                                  ultrahigh-dimensional partially linear
                                  models with missing responses at random  208--227
             Jae-Hwan Jhong and   
                    Ja-Yong Koo   Simultaneous estimation of quantile
                                  regression functions using B-splines and
                                  total variation penalty  . . . . . . . . 228--244
         Philip S. Boonstra and   
            Ryan P. Barbaro and   
                     Ananda Sen   Default priors for the intercept
                                  parameter in logistic regressions  . . . 245--256
              Kangning Wang and   
                 Shaomin Li and   
                Xiaofei Sun and   
                         Lu Lin   Modal regression statistical inference
                                  for longitudinal data semivarying
                                  coefficient models: Generalized
                                  estimating equations, empirical
                                  likelihood and variable selection  . . . 257--276
              Hannah Lennon and   
                  Jingsong Yuan   Estimation of a digitised Gaussian ARMA
                                  model by Monte Carlo Expectation
                                  Maximisation . . . . . . . . . . . . . . 277--284
                Guiling Shi and   
             Chae Young Lim and   
                Tapabrata Maiti   Bayesian model selection for generalized
                                  linear models using non-local priors . . 285--296


Computational Statistics & Data Analysis
Volume 134, Number ??, June, 2019

                      Anonymous   Editorial Board  . . . . . . . . . . . . ii--iv
                     Li Liu and   
                   Liming Xiang   Missing covariate data in generalized
                                  linear mixed models with
                                  distribution-free random effects . . . . 1--16
                   Lili Yue and   
                 Gaorong Li and   
                  Heng Lian and   
                      Xiang Wan   Regression adjustment for treatment
                                  effect with multicollinearity in high
                                  dimensions . . . . . . . . . . . . . . . 17--35
       Daniela De Canditiis and   
                 Italia De Feis   Simultaneous nonparametric regression in
                                  RADWT dictionaries . . . . . . . . . . . 36--57
                 Junmo Song and   
                Changryong Baek   Detecting structural breaks in realized
                                  volatility . . . . . . . . . . . . . . . 58--75
            Youngdeok Hwang and   
                Hang J. Kim and   
                  Won Chang and   
               Kyongmin Yeo and   
                     Yongku Kim   Bayesian pollution source identification
                                  via an inverse physics model . . . . . . 76--92
               T. Rodrigues and   
      J.-L. Dortet-Bernadet and   
                         Y. Fan   Simultaneous fitting of Bayesian
                                  penalised quantile splines . . . . . . . 93--109
                  Lei Huang and   
                  Hui Jiang and   
                    Huixia Wang   A novel partial-linear single-index
                                  model for time series data . . . . . . . 110--122
             Takuma Yoshida and   
                    Kanta Naito   Regression with stagewise minimization
                                  on risk function . . . . . . . . . . . . 123--143
        Claudio Agostinelli and   
             Marina Valdora and   
                Victor J. Yohai   Initial robust estimation in generalized
                                  linear models  . . . . . . . . . . . . . 144--156
                Rakhi Singh and   
             Siuli Mukhopadhyay   Exact Bayesian designs for count time
                                  series . . . . . . . . . . . . . . . . . 157--170
 Holger Cevallos-Valdiviezo and   
               Stefan Van Aelst   Fast computation of robust subspace
                                  estimators . . . . . . . . . . . . . . . 171--185
                Zhiping Qiu and   
                 Limin Peng and   
            Amita Manatunga and   
                       Ying Guo   A smooth nonparametric approach to
                                  determining cut-points of a continuous
                                  scale  . . . . . . . . . . . . . . . . . 186--210


Computational Statistics & Data Analysis
Volume 135, Number ??, July, 2019

                      Anonymous   Editorial Board  . . . . . . . . . . . . ii--iv
                Yichen Chen and   
                  Somnath Datta   Adjustments of multi-sample
                                  $U$-statistics to right censored data
                                  and confounding covariates . . . . . . . 1--14
             Arin Chaudhuri and   
                      Wenhao Hu   A fast algorithm for computing distance
                                  correlation  . . . . . . . . . . . . . . 15--24
                Haocheng Li and   
                     Di Shu and   
                 Wenqing He and   
                    Grace Y. Yi   Variable selection via the composite
                                  likelihood method for multilevel
                                  longitudinal data with missing responses
                                  and covariates . . . . . . . . . . . . . 25--34
            Elham Zamanzade and   
           Afshin Parvardeh and   
                    Majid Asadi   Estimation of mean residual life based
                                  on ranked set sampling . . . . . . . . . 35--55
               Alastair Gregory   A streaming algorithm for bivariate
                                  empirical copulas  . . . . . . . . . . . 56--69
           Alexis Derumigny and   
           Jean-David Fermanian   A classification point-of-view about
                                  conditional Kendall's tau  . . . . . . . 70--94
                Ji-Eun Choi and   
                  Dong Wan Shin   Moving block bootstrapping for a CUSUM
                                  test for correlation change  . . . . . . 95--106
             Charlotte Baey and   
      Paul-Henry Courn\`ede and   
                   Estelle Kuhn   Asymptotic distribution of likelihood
                                  ratio test statistics for variance
                                  components in nonlinear mixed effects
                                  models . . . . . . . . . . . . . . . . . 107--122


Computational Statistics & Data Analysis
Volume 136, Number ??, August, 2019

                      Anonymous   Editorial Board  . . . . . . . . . . . . ii--iv
              Marc Ditzhaus and   
                   Markus Pauly   Wild bootstrap logrank tests with
                                  broader power functions for testing
                                  superiority  . . . . . . . . . . . . . . 1--11
                Dengdeng Yu and   
                   Li Zhang and   
                Ivan Mizera and   
                  Bei Jiang and   
                  Linglong Kong   Sparse wavelet estimation in quantile
                                  regression with multiple functional
                                  predictors . . . . . . . . . . . . . . . 12--29
                   Marco Geraci   Modelling and estimation of nonlinear
                                  quantile regression with clustered data  30--46
               Keunbaik Lee and   
                   Yongsung Joo   Marginalized models for longitudinal
                                  count data . . . . . . . . . . . . . . . 47--58
               Xianchao Xiu and   
                Wanquan Liu and   
                    Ling Li and   
                  Lingchen Kong   Alternating direction method of
                                  multipliers for nonconvex fused
                                  regression problems  . . . . . . . . . . 59--71
         Sounak Chakraborty and   
              Aurelie C. Lozano   A graph Laplacian prior for Bayesian
                                  variable selection and grouping  . . . . 72--91
           Andrew Golightly and   
               Emma Bradley and   
                   Tom Lowe and   
             Colin S. Gillespie   Correlated pseudo-marginal schemes for
                                  time-discretised stochastic kinetic
                                  models . . . . . . . . . . . . . . . . . 92--107
        Hamdy F. F. Mahmoud and   
                    Inyoung Kim   Semiparametric spatial mixed effects
                                  single index models  . . . . . . . . . . 108--122
                   Xia Wang and   
                Ali Shojaie and   
                       Jian Zou   Bayesian hidden Markov models for
                                  dependent large-scale multiple testing   123--136


Computational Statistics & Data Analysis
Volume 137, Number ??, September, 2019

                      Anonymous   Editorial Board  . . . . . . . . . . . . ii--iv
Sergio Castillo-Páez and   
Rubén Fernández-Casal and   
Pilar García-Soidán   A nonparametric bootstrap method for
                                  spatial data . . . . . . . . . . . . . . 1--15
                   L. Ippel and   
              M. C. Kaptein and   
                  J. K. Vermunt   Online estimation of individual-level
                                  effects using streaming shrinkage
                                  factors  . . . . . . . . . . . . . . . . 16--32
               Anh Tuan Bui and   
                Daniel W. Apley   An exploratory analysis approach for
                                  understanding variation in stochastic
                                  textured surfaces  . . . . . . . . . . . 33--50
               Hauke Thaden and   
                Nadja Klein and   
                   Thomas Kneib   Multivariate effect priors in bivariate
                                  semiparametric recursive Gaussian models 51--66
            Laura Azzimonti and   
             Giorgio Corani and   
                 Marco Zaffalon   Hierarchical estimation of parameters in
                                  Bayesian networks  . . . . . . . . . . . 67--91
 Ruth Fuentes-García and   
      Ramsés H. Mena and   
              Stephen G. Walker   Modal posterior clustering motivated by
                                  Hopfield's network . . . . . . . . . . . 92--100
       Ulrike Grömping and   
                Roberto Fontana   An algorithm for generating good mixed
                                  level factorial designs  . . . . . . . . 101--114
       Alexander Litvinenko and   
                   Ying Sun and   
             Marc G. Genton and   
                 David E. Keyes   Likelihood approximation with
                                  hierarchical matrices for large spatial
                                  datasets . . . . . . . . . . . . . . . . 115--132
   Stephan M. Bischofberger and   
                Munir Hiabu and   
                Enno Mammen and   
             Jens Perch Nielsen   A comparison of in-sample forecasting
                                  methods  . . . . . . . . . . . . . . . . 133--154
                Shengmei He and   
                Shuangge Ma and   
                      Wangli Xu   A modified mean-variance
                                  feature-screening procedure for
                                  ultrahigh-dimensional discriminant
                                  analysis . . . . . . . . . . . . . . . . 155--169
                 Jinqing Li and   
                         Jun Ma   Maximum penalized likelihood estimation
                                  of additive hazards models with partly
                                  interval censoring . . . . . . . . . . . 170--180
          Maryclare Griffin and   
                  Peter D. Hoff   Lasso ANOVA decompositions for matrix
                                  and tensor data  . . . . . . . . . . . . 181--194
             Takeru Matsuda and   
                Fumiyasu Komaki   Empirical Bayes matrix completion  . . . 195--210
        Dominik Müller and   
                  Claudia Czado   Dependence modelling in ultra high
                                  dimensions with vine copulas and the
                                  Graphical Lasso  . . . . . . . . . . . . 211--232
                 Baisen Liu and   
            Liangliang Wang and   
                Yunlong Nie and   
                      Jiguo Cao   Bayesian inference of mixed-effects
                                  ordinary differential equations models
                                  using heavy-tailed distributions . . . . 233--246
    Laurent R. Bergé and   
          Charles Bouveyron and   
              Marco Corneli and   
                Pierre Latouche   The latent topic block model for the
                                  co-clustering of textual interaction
                                  data . . . . . . . . . . . . . . . . . . 247--270
                  Jicai Liu and   
                 Peirong Xu and   
                      Heng Lian   Estimation for single-index models via
                                  martingale difference divergence . . . . 271--284
Irene Mariñas-Collado and   
              Adrian Bowman and   
               Vincent Macaulay   A phylogenetic Gaussian process model
                                  for the evolution of curves embedded in
                                  $d$-dimensions . . . . . . . . . . . . . 285--298


Computational Statistics & Data Analysis
Volume 138, Number ??, October, 2019

                      Anonymous   Editorial Board  . . . . . . . . . . . . ii--iv
                     Xu Guo and   
              Lianlian Song and   
                   Yun Fang and   
                     Lixing Zhu   Model checking for general linear
                                  regression with nonignorable missing
                                  response . . . . . . . . . . . . . . . . 1--12
                  Kenyon Ng and   
          Berwin A. Turlach and   
                   Kevin Murray   A flexible sequential Monte Carlo
                                  algorithm for parametric constrained
                                  regression . . . . . . . . . . . . . . . 13--26
              Chuanlong Xie and   
                     Lixing Zhu   A goodness-of-fit test for
                                  variable-adjusted models . . . . . . . . 27--48
               Heiko Wagner and   
                    Alois Kneip   Nonparametric registration to
                                  low-dimensional function spaces  . . . . 49--63
                 Lingzhu Li and   
              Sung Nok Chiu and   
                     Lixing Zhu   Model checking for regressions: an
                                  approach bridging between local
                                  smoothing and global smoothing methods   64--82
               Yuexia Zhang and   
                 Guoyou Qin and   
                Zhongyi Zhu and   
                    Wanghong Xu   A novel robust approach for analysis of
                                  longitudinal data  . . . . . . . . . . . 83--95
              Albert Vexler and   
                     Li Zou and   
                 Alan D. Hutson   The empirical likelihood prior applied
                                  to bias reduction of general estimating
                                  equations  . . . . . . . . . . . . . . . 96--106
            James P. LeSage and   
                Yao-Yu Chih and   
                    Colin Vance   Markov Chain Monte Carlo estimation of
                                  spatial dynamic panel models for large
                                  samples  . . . . . . . . . . . . . . . . 107--125
        Claudia Di Caterina and   
               Ioannis Kosmidis   Location-adjusted Wald statistics for
                                  scalar parameters  . . . . . . . . . . . 126--142
                 Jing Cheng and   
                 Ngai Hang Chan   Efficient inference for nonlinear state
                                  space models: an automatic sample size
                                  selection rule . . . . . . . . . . . . . 143--154
                  Wei Liang and   
              Hongsheng Dai and   
                     Shuyuan He   Mean Empirical Likelihood  . . . . . . . 155--169
                Gildas Mazo and   
             Yaroslav Averyanov   Constraining kernel estimators in
                                  semiparametric copula mixture models . . 170--189
            Brad C. Johnson and   
                 Steve Kirkland   Estimating random walk centrality in
                                  networks . . . . . . . . . . . . . . . . 190--200
          Shyamalendu Sinha and   
                Jeffrey D. Hart   Estimating the mean and variance of a
                                  high-dimensional normal distribution
                                  using a mixture prior  . . . . . . . . . 201--221
              Chang-Yun Lin and   
                        Po Yang   Data-driven multistratum designs with
                                  the generalized Bayesian $D$--$D$
                                  criterion for highly uncertain models    222--238
                   Lili Liu and   
                         Lu Lin   Subgroup analysis for heterogeneous
                                  additive partially linear models and its
                                  application to car sales data  . . . . . 239--259


Computational Statistics & Data Analysis
Volume 139, Number ??, November, 2019

                      Anonymous   Editorial Board  . . . . . . . . . . . . ii--iv
                     Jun Lu and   
                  Xuehu Zhu and   
                     Lu Lin and   
                     Lixing Zhu   Estimation for biased partial linear
                                  single index models  . . . . . . . . . . 1--13
      Huybrechts F. Bindele and   
            Brice M. Nguelifack   Generalized signed-rank estimation for
                                  regression models with non-ignorable
                                  missing responses  . . . . . . . . . . . 14--33
                   Haoqi Li and   
                Huazhen Lin and   
             Paul S. F. Yip and   
                        Yuan Li   Estimating population size of
                                  heterogeneous populations with large
                                  data sets and a large number of
                                  parameters . . . . . . . . . . . . . . . 34--44
                   Bo Chang and   
                      Harry Joe   Prediction based on conditional
                                  distributions of vine copulas  . . . . . 45--63
                  Zhonglei Wang   Markov chain Monte Carlo sampling using
                                  a reservoir method . . . . . . . . . . . 64--74
                  Tong Chen and   
                  Thomas Lumley   Numerical evaluation of methods
                                  approximating the distribution of a
                                  large quadratic form in normal variables 75--81
              Guangren Yang and   
                 Yiming Liu and   
                  Guangming Pan   Weighted covariance matrix estimation    82--98
                 Yahui Tian and   
                   Yulia R. Gel   Fusing data depth with complex networks:
                                  Community detection with prior
                                  information  . . . . . . . . . . . . . . 99--116
               Hengjian Cui and   
                      Wei Zhong   A distribution-free test of independence
                                  based on mean variance index . . . . . . 117--133
           Byeong Yeob Choi and   
                    Jae Won Lee   The isotonic regression approach for an
                                  instrumental variable estimation of the
                                  potential outcome distributions for
                                  compliers  . . . . . . . . . . . . . . . 134--144
              Yan-Yong Zhao and   
                   Jin-Guan Lin   Estimation and test of jump
                                  discontinuities in varying coefficient
                                  models with empirical applications . . . 145--163
              A. Skripnikov and   
                 G. Michailidis   Regularized joint estimation of related
                                  vector autoregressive models . . . . . . 164--177
          Hossein Mohammadi and   
            Peter Challenor and   
                Marc Goodfellow   Emulating dynamic non-linear simulators
                                  using Gaussian processes . . . . . . . . 178--196


Computational Statistics & Data Analysis
Volume 140, Number ??, December, 2019

                      Anonymous   Editorial Board  . . . . . . . . . . . . ii--iv
   M. Ignacia Vicuña and   
             Wilfredo Palma and   
                   Ricardo Olea   Minimum distance estimation of locally
                                  stationary moving average processes  . . 1--20
Jean-François Quessy and   
          Louis-Paul Rivest and   
   Marie-Hél\`ene Toupin   Goodness-of-fit tests for the family of
                                  multivariate chi-square copulas  . . . . 21--40
              Fabian Rathke and   
         Christoph Schnörr   Fast multivariate log-concave density
                                  estimation . . . . . . . . . . . . . . . 41--58
              Andreas Groll and   
          Julien Hambuckers and   
               Thomas Kneib and   
                Nikolaus Umlauf   LASSO-type penalization in the framework
                                  of generalized additive models for
                                  location, scale and shape  . . . . . . . 59--73
             Pao-sheng Shen and   
              Hsin-Jen Chen and   
               Wen-Harn Pan and   
                Chyong-Mei Chen   Semiparametric regression analysis for
                                  left-truncated and interval-censored
                                  data without or with a cure fraction . . 74--87
          Mathisca de Gunst and   
              Bartek Knapik and   
             Michel Mandjes and   
                  Birgit Sollie   Parameter estimation for a discretely
                                  observed population process under
                                  Markov-modulation  . . . . . . . . . . . 88--103
               Wan-Lun Wang and   
             Luis M. Castro and   
           Victor H. Lachos and   
                    Tsung-I Lin   Model-based clustering of censored data
                                  via mixtures of factor analyzers . . . . 104--121
             Guo-Liang Tian and   
                    Yin Liu and   
               Man-Lai Tang and   
                         Tao Li   A novel MM algorithm and the
                                  mode-sharing method in Bayesian
                                  computation for the analysis of general
                                  incomplete categorical data  . . . . . . 122--143
                  Jia Zhang and   
                       Xin Chen   Robust sufficient dimension reduction
                                  via ball covariance  . . . . . . . . . . 144--154