Table of contents for issues of Statistics and Computing

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Volume 1, Number 1, September, 1991
Volume 1, Number 2, December, 1991
Volume 2, Number 1, March, 1992
Volume 2, Number 2, June, 1992
Volume 2, Number 3, September, 1992
Volume 2, Number 4, December, 1992
Volume 3, Number 1, March, 1993
Volume 3, Number 2, June, 1993
Volume 3, Number 3, September, 1993
Volume 3, Number 4, December, 1993
Volume 4, Number 1, March, 1994
Volume 4, Number 2, June, 1994
Volume 4, Number 3, September, 1994
Volume 4, Number 4, December, 1994
Volume 5, Number 1, March, 1995
Volume 5, Number 2, June, 1995
Volume 5, Number 3, September, 1995
Volume 5, Number 4, December, 1995
Volume 6, Number 1, March, 1996
Volume 6, Number 2, June, 1996
Volume 6, Number 3, September, 1996
Volume 6, Number 4, December, 1996
Volume 7, Number 1, 1997
Volume 7, Number 2, 1997
Volume 7, Number 3, 1997
Volume 7, Number 4, 1997
Volume 8, Number 1, 1998
Volume 8, Number 2, June, 1998
Volume 8, Number 3, August, 1998
Volume 8, Number 4, December, 1998
Volume 9, Number 1, April, 1999
Volume 9, Number 2, April, 1999
Volume 9, Number 3, July, 1999
Volume 9, Number 4, November, 1999
Volume 10, Number 1, January, 2000
Volume 10, Number 2, April, 2000
Volume 10, Number 3, July, 2000
Volume 10, Number 4, October, 2000
Volume 11, Number 1, January, 2001
Volume 11, Number 2, April, 2001
Volume 11, Number 3, July, 2001
Volume 11, Number 4, October, 2001
Volume 12, Number 1, January, 2002
Volume 12, Number 2, April, 2002
Volume 12, Number 3, July, 2002
Volume 12, Number 4, October, 2002
Volume 13, Number 1, February, 2003
Volume 13, Number 2, April, 2003
Volume 13, Number 3, August, 2003
Volume 13, Number 4, October, 2003
Volume 14, Number 1, January, 2004
Volume 14, Number 2, April, 2004
Volume 14, Number 3, August, 2004
Volume 14, Number 4, October, 2004
Volume 15, Number 1, January, 2005
Volume 15, Number 2, April, 2005
Volume 15, Number 3, July, 2005
Volume 15, Number 4, October, 2005
Volume 16, Number 1, January, 2006
Volume 16, Number 2, June, 2006
Volume 16, Number 3, September, 2006
Volume 16, Number 4, December, 2006
Volume 17, Number 1, March, 2007
Volume 17, Number 2, June, 2007
Volume 17, Number 3, September, 2007
Volume 17, Number 4, December, 2007
Volume 18, Number 1, March, 2008
Volume 18, Number 2, June, 2008
Volume 18, Number 3, September, 2008
Volume 18, Number 4, December, 2008
Volume 19, Number 1, March, 2009
Volume 19, Number 2, June, 2009
Volume 19, Number 3, September, 2009
Volume 19, Number 4, December, 2009
Volume 20, Number 1, January, 2010
Volume 20, Number 2, April, 2010
Volume 20, Number 3, July, 2010
Volume 20, Number 4, October, 2010
Volume 21, Number 1, January, 2011
Volume 21, Number 2, April, 2011
Volume 21, Number 3, July, 2011
Volume 21, Number 4, October, 2011
Volume 22, Number 1, January, 2012
Volume 22, Number 2, March, 2012
Volume 22, Number 3, May, 2012
Volume 22, Number 4, July, 2012
Volume 22, Number 5, September, 2012
Volume 22, Number 6, November, 2012
Volume 23, Number 1, January, 2013
Volume 23, Number 2, March, 2013
Volume 23, Number 3, May, 2013
Volume 23, Number 4, July, 2013
Volume 23, Number 5, September, 2013
Volume 23, Number 6, November, 2013
Volume 24, Number 1, January, 2014
Volume 24, Number 2, March, 2014
Volume 24, Number 3, May, 2014
Volume 24, Number 4, July, 2014
Volume 24, Number 5, September, 2014
Volume 24, Number 6, November, 2014
Volume 25, Number 1, January, 2015
Volume 25, Number 2, March, 2015
Volume 25, Number 3, May, 2015
Volume 25, Number 4, July, 2015
Volume 25, Number 5, September, 2015
Volume 25, Number 6, November, 2015
Volume 26, Number 1--2, January, 2016
Volume 26, Number 3, May, 2016
Volume 26, Number 4, July, 2016
Volume 26, Number 5, September, 2016
Volume 26, Number 6, November, 2016
Volume 27, Number 1, January, 2017
Volume 27, Number 2, March, 2017
Volume 27, Number 3, May, 2017
Volume 27, Number 4, July, 2017
Volume 27, Number 5, September, 2017
Volume 27, Number 6, November, 2017
Volume 28, Number 1, January, 2018
Volume 28, Number 2, March, 2018
Volume 28, Number 3, May, 2018
Volume 28, Number 4, July, 2018
Volume 28, Number 5, September, 2018
Volume 28, Number 6, November, 2018
Volume 29, Number 1, January, 2019
Volume 29, Number 2, March, 2019
Volume 29, Number 3, May, 2019
Volume 29, Number 4, July, 2019
Volume 29, Number 5, September, 2019
Volume 29, Number 6, November, 2019
Volume 30, Number 1, February, 2020
Volume 30, Number 2, March, 2020
Volume 30, Number 3, May, 2020
Volume 30, Number 4, July, 2020
Volume 30, Number 5, September, 2020
Volume 30, Number 6, November, 2020
Volume 31, Number 1, January, 2021
Volume 31, Number 2, March, 2021
Volume 31, Number 3, May, 2021
Volume 31, Number 4, July, 2021
Volume 31, Number 5, September, 2021
Volume 31, Number 6, November, 2021
Volume 32, Number 1, February, 2022
Volume 32, Number 2, April, 2022
Volume 32, Number 3, June, 2022
Volume 32, Number 4, August, 2022
Volume 32, Number 5, October, 2022
Volume 32, Number 6, December, 2022
Volume 33, Number 1, February, 2023
Volume 33, Number 2, April, 2023
Volume 33, Number 3, June, 2023
Volume 33, Number 4, August, 2023
Volume 33, Number 5, October, 2023
Volume 33, Number 6, December, 2023
Volume 34, Number 1, February, 2024
Volume 34, Number 2, April, 2024
Volume 34, Number 3, June, 2024
Volume 34, Number 4, August, 2024
Volume 34, Number 5, October, 2024
Volume 34, Number 6, December, 2024


Statistics and Computing
Volume 1, Number 1, September, 1991

                  David J. Hand   Editorial  . . . . . . . . . . . . . . . i--ii
         Petros Dellaportas and   
                   David Wright   Positive embedded integration in
                                  Bayesian analysis  . . . . . . . . . . . 1--12
                 Kim-Anh Do and   
                     Peter Hall   Quasi-random resampling for the
                                  bootstrap  . . . . . . . . . . . . . . . 13--22
               Robert Fisch and   
              Janko Gravner and   
                David Griffeath   Threshold-range scaling of excitable
                                  cellular automata  . . . . . . . . . . . 23--39
             T. J. Ringrose and   
               W. J. Krzanowski   Simulation study of confidence regions
                                  for canonical variate analysis . . . . . 41--46
       William S. Cleveland and   
                    Eric Grosse   Computational Methods for Local
                                  Regression . . . . . . . . . . . . . . . 47--62
                    Fergus Daly   SC --- statistical calculator  . . . . . 63--70
                  B. S. Everitt   BMDP PC-90 . . . . . . . . . . . . . . . 71--73
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??

Statistics and Computing
Volume 1, Number 2, December, 1991

       Zbigniew Michalewicz and   
              Cezary Z. Janikow   Genetic algorithms for numerical
                                  optimization . . . . . . . . . . . . . . 75--91
          Kenneth W. Church and   
                William A. Gale   Probability scoring for spelling
                                  correction . . . . . . . . . . . . . . . 93--103
        Isabella Verdinelli and   
                Larry Wasserman   Bayesian analysis of outlier problems
                                  using the Gibbs sampler  . . . . . . . . 105--117
          Bradley P. Carlin and   
                Alan E. Gelfand   An iterative Monte Carlo method for
                                  nonconjugate Bayesian analysis . . . . . 119--128
            J. C. Wakefield and   
              A. E. Gelfand and   
                 A. F. M. Smith   Efficient Generation of Random Variates
                                  via the Ratio-of-Uniforms Method . . . . 129--133
               Richard Weinberg   Envisioning information  . . . . . . . . 135--135
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??


Statistics and Computing
Volume 2, Number 1, March, 1992

               Allan J. Macleod   Performance evaluation of normal
                                  distribution software  . . . . . . . . . 1--5
            Uffe Kjærulff   Optimal decomposition of probabilistic
                                  networks by simulated annealing  . . . . 7--17
           Joseph G. Hirschberg   A computationally efficient method for
                                  bootstrapping systems of demand
                                  equations: A comparison to traditional
                                  techniques . . . . . . . . . . . . . . . 19--24
                    A. P. Dawid   Applications of a general propagation
                                  algorithm for probabilistic expert
                                  systems  . . . . . . . . . . . . . . . . 25--36
               R. G. Cowell and   
                    A. P. Dawid   Fast retraction of evidence in a
                                  probabilistic expert system  . . . . . . 37--40
                  E. J. Bedrick   Software review  . . . . . . . . . . . . 41--45
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??

Statistics and Computing
Volume 2, Number 2, June, 1992

                      Anonymous   Editorial  . . . . . . . . . . . . . . . i--ii
         Thomas J. Lorenzen and   
              Lynn T. Truss and   
          W. Scott Spangler and   
Andrew B. Parker William T. Corpus   DEXPERT: an expert system for the design
                                  of experiments . . . . . . . . . . . . . 47--54
                 Jan F. M. Raes   Inside two commercially available
                                  statistical expert systems . . . . . . . 55--62
                   Wray Buntine   Learning classification trees  . . . . . 63--73
          Katsuhiko Tsujino and   
                  Shogo Nishida   A knowledge acquisition inductive system
                                  driven by empirical interpretation of
                                  derived results  . . . . . . . . . . . . 75--81
         Stuart L. Crawford and   
                 Robert M. Fung   An analysis of two probabilistic model
                                  induction techniques . . . . . . . . . . 83--90
                Judea Pearl and   
                Thomas S. Verma   A statistical semantics for causation    91--95
                 Padhraic Smyth   Admissible stochastic complexity models
                                  for classification problems  . . . . . . 97--104
          Robert P. Goldman and   
                Eugene Charniak   Probabilistic text understanding . . . . 105--114
                      Anonymous   Forthcoming papers . . . . . . . . . . . 115--115
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??

Statistics and Computing
Volume 2, Number 3, September, 1992

                Patrick Royston   Approximating the Shapiro--Wilk $W$-test
                                  for non-normality  . . . . . . . . . . . 117--119
                   Mark Van Pul   Simulations on the Jelinski--Moranda
                                  model of software reliability;
                                  application of some parametric bootstrap
                                  methods  . . . . . . . . . . . . . . . . 121--136
                R. Lockhart and   
                      T. Swartz   Computing asymptotic $p$-values for EDF
                                  tests  . . . . . . . . . . . . . . . . . 137--141
              Gilles Celeux and   
               Abdallah Mkhadri   Discrete regularized discriminant
                                  analysis . . . . . . . . . . . . . . . . 143--151
                G. P. Nason and   
                   Robin Sibson   Measuring multimodality  . . . . . . . . 153--160
         Thomas J. DiCiccio and   
          Michael A. Martin and   
              G. Alastair Young   Analytical approximations for iterated
                                  bootstrap confidence intervals . . . . . 161--171
               Jonathan Vaughan   SPSS for the Macintosh . . . . . . . . . 173--177
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??

Statistics and Computing
Volume 2, Number 4, December, 1992

         B. B. Van der Genugten   Density of the quotient of non-negative
                                  quadratic forms in normal variables with
                                  application to the $F$-statistic . . . . 179--182
              Robert Tibshirani   Principal curves revisited . . . . . . . 183--190
            H. Brian Hwarng and   
             Norma Faris Hubele   Boltzmann machines that learn to
                                  recognize patterns on control charts . . 191--202
            Salvatore Ingrassia   A comparison between the simulated
                                  annealing and the EM algorithms in
                                  normal mixture decompositions  . . . . . 203--211
               Michael E. Dewey   Algorithms for frequency distributions:
                                  efficiency and generality comparisons    213--220
                 A. C. Atkinson   A segmented algorithm for simulated
                                  annealing  . . . . . . . . . . . . . . . 221--230
                Jeffrey Jarrett   SYSTAT/SYGRAPH and Micro--TSP  . . . . . 231--236
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??


Statistics and Computing
Volume 3, Number 1, March, 1993

                      Anonymous   Editorial  . . . . . . . . . . . . . . . i--i
           Dankmar Böhning   Acceleration techniques in fixed-point
                                  methods for finding percentage points    1--5
               M. Delampady and   
               I. M. L. Yee and   
                    J. V. Zidek   Hierarchical Bayesian analysis of a
                                  discrete time series of Poisson counts   7--15
                  Murray Aitkin   Posterior Bayes factor analysis for an
                                  exponential regression model . . . . . . 17--22
              M. G. Schimek and   
                K. G. Schmaranz   The statistical computing environment
                                  XploRe and state-of-the-art density and
                                  regression smoothing . . . . . . . . . . 23--26
             A. C. Atkinson and   
                   H.-M. Mulira   The stalactite plot for the detection of
                                  multivariate outliers  . . . . . . . . . 27--35
               W. J. Krzanowski   Permutational tests for correlation
                                  matrices . . . . . . . . . . . . . . . . 37--44
                M. C. Jones and   
                 I. S. Bradbury   Kernel smoothing for finite populations  45--50
                    Alun Thomas   A note on the four-colourability of
                                  pedigrees and its consequences for
                                  probability calculations . . . . . . . . 51--54
           Richard Seligson and   
              Othar Hansson and   
               Andrew Mayer and   
                   Gerhard Holt   Book reviews . . . . . . . . . . . . . . 55--55
                      Anonymous   Book reviews announcement  . . . . . . . 58--58
                      Anonymous   Erratum  . . . . . . . . . . . . . . . . 59--59
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??

Statistics and Computing
Volume 3, Number 2, June, 1993

                      Anonymous   Editorial  . . . . . . . . . . . . . . . i--i
             N. H. Anderson and   
             D. M. Titterington   Cross-correlation between simultaneously
                                  generated sequences of pseudo-random
                                  uniform deviates . . . . . . . . . . . . 61--65
              A. De Matteis and   
                    S. Pagnutti   Long-range correlation analysis of the
                                  Wichmann--Hill random number generator   67--70
                D. J. Smith and   
               T. C. Bailey and   
                  A. G. Munford   Robust classification of
                                  high-dimensional data using artificial
                                  neural networks  . . . . . . . . . . . . 71--81
               V. Granville and   
                  E. Schifflers   Efficient algorithms for exact inference
                                  in $ 2 \times 2 $ contingency tables . . 83--87
              Murray Aitkin and   
                    Camil Fuchs   An analysis of models for the dilution
                                  and adulteration of fruit juice  . . . . 89--99
                    Tony Dusoir   Software review  . . . . . . . . . . . . 101--102
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??

Statistics and Computing
Volume 3, Number 3, September, 1993

               Olcay Arslan and   
    Patrick D. L. Constable and   
                   John T. Kent   Domains of convergence for the EM
                                  algorithm: a cautionary tale in a
                                  location estimation problem  . . . . . . 103--108
        Purushottam W. Laud and   
              Paul Ramgopal and   
             Adrian F. M. Smith   Random variate generation from
                                  $D$-distributions  . . . . . . . . . . . 109--112
                Ali S. Hadi and   
                   Hans Nyquist   Further theoretical results and a
                                  comparison between two methods for
                                  approximating eigenvalues of perturbed
                                  covariance matrices  . . . . . . . . . . 113--123
                    Luc Devroye   On random variate generation for the
                                  generalized hyperbolic secant
                                  distributions  . . . . . . . . . . . . . 125--134
                    M. C. Jones   Simple boundary correction for kernel
                                  density estimation . . . . . . . . . . . 135--146
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??

Statistics and Computing
Volume 3, Number 4, December, 1993

             Paul C. Taylor and   
           Bernard W. Silverman   Block diagrams and splitting criteria
                                  for classification trees . . . . . . . . 147--161
               R. Hatzinger and   
                       W. Panny   Single and twin-heaps as natural data
                                  structures for percentile point
                                  simulation algorithms  . . . . . . . . . 163--170
              Adrian Bowman and   
                   Peter Foster   Density based exploration of bivariate
                                  data . . . . . . . . . . . . . . . . . . 171--177
                      Anonymous   The future of statistical research . . . 179--179
       Ole E. Barndorff-Nielsen   Important areas for future statistical
                                  research . . . . . . . . . . . . . . . . 181--181
               John M. Chambers   Greater or lesser statistics: a choice
                                  for future research  . . . . . . . . . . 182--184
                    J. B. Copas   On some important statistical problems   185--187
                  Bradley Efron   Statistics in the 21st century . . . . . 188--190
                    J. C. Gower   The next ten years in statistics?  . . . 191--193
                   Jack Hibbert   The need for research into the
                                  effectiveness of international
                                  statistical systems and standards  . . . 194--196
                Pierre Legendre   Real data are messy  . . . . . . . . . . 197--199
                 David S. Moore   Statistics research: the next ten years  200--201
                   J. A. Nelder   The most important areas of statistical
                                  research in the next ten years . . . . . 202--203
                Donald B. Rubin   The future of statistics . . . . . . . . 204--204
               Richard L. Smith   Statistics research for the next ten
                                  years  . . . . . . . . . . . . . . . . . 205--208
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??


Statistics and Computing
Volume 4, Number 1, March, 1994

                 F. G. Ball and   
                      G. F. Yeo   Numerical evaluation of observed sojourn
                                  time distributions for a single ion
                                  channel incorporating time interval
                                  omission . . . . . . . . . . . . . . . . 1--12
                  G. Eslava and   
              F. H. C. Marriott   Some criteria for projection pursuit . . 13--20
             Julian Stander and   
           Bernard W. Silverman   Temperature schedules for simulated
                                  annealing  . . . . . . . . . . . . . . . 21--32
                  David Madigan   Software review  . . . . . . . . . . . . 33--39
                    M. C. Jones   Book review  . . . . . . . . . . . . . . 41--46
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??

Statistics and Computing
Volume 4, Number 2, June, 1994

                  David J. Hand   Editorial  . . . . . . . . . . . . . . . 47--47
           Zbigniew Michalewicz   Evolutionary computation . . . . . . . . 49--50
           Thomas Bäck and   
              Frank Hoffmeister   Basic aspects of evolution strategies    51--63
                Darrell Whitley   A genetic algorithm tutorial . . . . . . 65--85
                   John R. Koza   Genetic programming as a means for
                                  programming computers by natural
                                  selection  . . . . . . . . . . . . . . . 87--112
                 David B. Fogel   Evolutionary programming: an
                                  introduction and some current directions 113--129
                    Fred Glover   Genetic algorithms and scatter search:
                                  unsuspected potentials . . . . . . . . . 131--140
           Zbigniew Michalewicz   Non-standard methods in evolutionary
                                  computation  . . . . . . . . . . . . . . 141--155
                  David J. Hand   Book reviews . . . . . . . . . . . . . . 157--159
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??

Statistics and Computing
Volume 4, Number 3, September, 1994

           Andrew Carothers and   
                      Jim Piper   Computer-aided classification of human
                                  chromosomes: a review  . . . . . . . . . 161--171
               S. P. Brooks and   
                B. J. T. Morgan   Automatic starting point selection for
                                  function optimization  . . . . . . . . . 173--177
       William H. Dumouchel and   
                 Thomas P. Lane   Automatic selection of the proper family
                                  for simultaneous confidence intervals    179--187
                     A. J. Gray   Simulating posterior Gibbs
                                  distributions: a comparison of the
                                  Swendsen--Wang and Gibbs sampler methods 189--201
           Bruce E. Barrett and   
                  J. Brian Gray   A computational framework for variable
                                  selection in multivariate regression . . 203--212
                 Paul Blackwell   The efficient estimation of tail
                                  probabilities for extremes of moving
                                  average processes using conditional
                                  simulation . . . . . . . . . . . . . . . 213--218
         Clifford Lunneborg and   
                  David J. Hand   Book review  . . . . . . . . . . . . . . 219--220
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??

Statistics and Computing
Volume 4, Number 4, December, 1994

                      Anonymous   Editorial  . . . . . . . . . . . . . . . i--i
                   J. A. Nelder   The statistics of linear models: back to
                                  basics . . . . . . . . . . . . . . . . . 221--234
          James E. Stafford and   
           David F. Andrews and   
                      Yong Wang   Symbolic computation: a unified approach
                                  to studying likelihood . . . . . . . . . 235--245
                    Denis Talay   Presto: a software package for the
                                  simulation of diffusion processes  . . . 247--251
                     J. Lyu and   
                 A. Gunasekaran   Statistical analysis of a portable
                                  parallel non-linear programming
                                  algorithm  . . . . . . . . . . . . . . . 253--258
Sylvia Frühwirth-Schnatter   Applied state space modelling of
                                  non-Gaussian time series using
                                  integration-based Kalman filtering . . . 259--269
                 K. Skouras and   
                  C. Goutis and   
                  M. J. Bramson   Estimation in linear models using
                                  gradient descent with early stopping . . 271--278
        Jonathan J. Forster and   
                 Allan M. Skene   Calculation of marginal densities for
                                  parameters of multinomial distributions  279--286
             Persi Diaconis and   
                   Susan Holmes   Gray codes for randomization procedures  287--302
                  Judith E. Zeh   Software review  . . . . . . . . . . . . 303--309
             Wilfrid S. Kendall   Book reviews . . . . . . . . . . . . . . 311--314
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??


Statistics and Computing
Volume 5, Number 1, March, 1995

                      Anonymous   Statistical and scientific database
                                  management . . . . . . . . . . . . . . . 1--1
                James C. French   Introduction . . . . . . . . . . . . . . 2--2
             Maurizio Rafanelli   Aggregate statistical data: models for
                                  their representation . . . . . . . . . . 3--24
                Frank Olken and   
                    Doron Rotem   Random sampling from databases: a survey 25--42
                Frank Olken and   
                    Doron Rotem   Sampling from spatial databases  . . . . 43--57
             Abdullah Uz Tansel   Query languages for statistical
                                  databases  . . . . . . . . . . . . . . . 59--72
                John C. Klensin   When the metadata exceed the data: data
                                  management with uncertain data . . . . . 73--84
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??

Statistics and Computing
Volume 5, Number 2, June, 1995

                   J. A. Nelder   The statistics of linear models: back to
                                  basics . . . . . . . . . . . . . . . . . i--i
                  Murray Aitkin   Comments on J. A. Nelder: `The
                                  statistics of linear models: back to
                                  basics'  . . . . . . . . . . . . . . . . 85--86
                  J. K. Lindsey   The uses and limits of linear models . . 87--89
                     John Gower   Comments on J. A. Nelder, `The
                                  statistics of linear models: back to
                                  basics'  . . . . . . . . . . . . . . . . 91--92
              F. A. Van Eeuwijk   On the tenability of distinctions: some
                                  comments on `The statistics of linear
                                  models: back to basics' by John Nelder   93--95
           Robert Rodriguez and   
             Randall Tobias and   
              Russell Wolfinger   Comments on J. A. Nelder, `The
                                  statistics of linear models: back to
                                  basics'  . . . . . . . . . . . . . . . . 97--101
               Shayle R. Searle   Comments on J. A. Nelder, `The
                                  statistics of linear models: back to
                                  basics'  . . . . . . . . . . . . . . . . 103--107
                   J. A. Nelder   Rejoinder to comments on `The statistics
                                  of linear models: back to basics'  . . . 109--111
                  Murray Aitkin   Probability model choice in single
                                  samples from exponential families using
                                  Poisson log-linear modelling, and model
                                  comparison using Bayes and posterior
                                  Bayes factors  . . . . . . . . . . . . . 113--120
            Christian P. Robert   Simulation of truncated normal variables 121--125
                  Alice Zopp\`e   Principal points of univariate
                                  continuous distributions . . . . . . . . 127--132
             Petros Dellaportas   Random variate transformations in the
                                  Gibbs sampler: issues of efficiency and
                                  convergence  . . . . . . . . . . . . . . 133--140
          F. A. Van Eeuwijk and   
                L. C. P. Keizer   On the use of diagnostic biplots in
                                  model screening for genotype by
                                  environment tables . . . . . . . . . . . 141--153
             Morgan C. Wang and   
             William J. Kennedy   A self-validating numerical method for
                                  computation of central and non-central
                                  $F$ probabilities and percentiles  . . . 155--163
            Lenard I. Dalgleish   Software review: Bootstrapping and
                                  jacknifing with BOJA . . . . . . . . . . 165--174
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??

Statistics and Computing
Volume 5, Number 3, September, 1995

              Merrilee Hurn and   
           Christopher Jennison   A study of simulated annealing and a
                                  revised cascade algorithm for image
                                  reconstruction . . . . . . . . . . . . . 175--190
                   M. C. Denham   Implementing partial least squares . . . 191--202
              Henri Luchian and   
                 Daniel Stamate   Answer-perturbation techniques for the
                                  protection of statistical databases  . . 203--213
              Mark J. Dixon and   
               Jonathan A. Tawn   A semi-parametric model for multivariate
                                  extreme values . . . . . . . . . . . . . 215--225
               Bart Mertens and   
                  Tom Fearn and   
               Michael Thompson   The efficient cross-validation of
                                  principal components applied to
                                  principal component regression . . . . . 227--235
             W. James Gauderman   A method for simulating familial disease
                                  data with variable age at onset and
                                  genetic and environmental effects  . . . 237--243
            Jeffrey S. Simonoff   A simple, automatic and adaptive
                                  bivariate density estimator based on
                                  conditional densities  . . . . . . . . . 245--252
          Peter W. F. Smith and   
               John W. McDonald   Exact conditional tests for incomplete
                                  contingency tables: estimating attained
                                  significance levels  . . . . . . . . . . 253--256
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??

Statistics and Computing
Volume 5, Number 4, December, 1995

              A. C. Davison and   
              D. V. Hinkley and   
                   B. J. Worton   Accurate and efficient construction of
                                  bootstrap likelihoods  . . . . . . . . . 257--264
               K. J. Powell and   
               T. Sapatinas and   
               T. C. Bailey and   
               W. J. Krzanowski   Application of wavelets to the
                                  pre-processing of underwater sounds  . . 265--273
                  Chris Harbron   Heuristic algorithms for finding
                                  inexpensive elimination schemes  . . . . 275--287
                  Rose D. Baker   Two permutation tests of equality of
                                  variances  . . . . . . . . . . . . . . . 289--296
               Dipak K. Dey and   
                   Lynn Kuo and   
                  Sujit K. Sahu   A Bayesian predictive approach to
                                  determining the number of components in
                                  a mixture distribution . . . . . . . . . 297--305
             Neville Davies and   
                  Ed Dawson and   
            Helen Gustafson and   
                  A. N. Pettitt   Testing for randomness in stream ciphers
                                  using the binary derivative  . . . . . . 307--310
                 Stephen Walker   Generating random variates from
                                  $D$-distributions via substitution
                                  sampling . . . . . . . . . . . . . . . . 311--315
             Renata Rotondi and   
                  Silvia Drappo   A clustering method for global
                                  optimization based on the $k$-th nearest
                                  neighbour  . . . . . . . . . . . . . . . 317--326
          Michael Goldstein and   
                 David A. Wooff   Bayes linear computation: concepts,
                                  implementation and programs  . . . . . . 327--341
                Martin Hazelton   Improved Monte Carlo inference for
                                  models with additive error . . . . . . . 343--350
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??


Statistics and Computing
Volume 6, Number 1, March, 1996

                  David J. Hand   Editorial  . . . . . . . . . . . . . . . 1--1
            Ralf Östermark   Separating trend and cyclical dynamics
                                  in state space models with exogenous
                                  inputs . . . . . . . . . . . . . . . . . 3--10
                 K. A. Froeschl   A metadata approach to statistical query
                                  processing . . . . . . . . . . . . . . . 11--29
Jürgen Eichenauer-Herrmann   Modified explicit inversive congruential
                                  pseudorandom numbers with power of $2$
                                  modulus  . . . . . . . . . . . . . . . . 31--36
                N. M. Adams and   
             S. P. J. Kirby and   
                  P. Harris and   
                    D. B. Clegg   A review of parallel processing for
                                  statistical computation  . . . . . . . . 37--49
               W. J. Krzanowski   A stopping rule for structure-preserving
                                  variable selection . . . . . . . . . . . 51--56
                R. A. Rigby and   
            D. M. Stasinopoulos   A semi-parametric additive model for
                                  variance heterogeneity . . . . . . . . . 57--65
           Russell Bradford and   
                    Alun Thomas   Markov chain Monte Carlo methods for
                                  family trees using a parallel processor  67--75
                 P. W. Laud and   
             A. F. M. Smith and   
                      P. Damien   Monte Carlo methods for approximating a
                                  posterior hazard rate process  . . . . . 77--83
             C. J. Lawrence and   
               W. J. Krzanowski   Mixture separation for mixed-mode data   85--92
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??

Statistics and Computing
Volume 6, Number 2, June, 1996

                 Todd Ogden and   
                 Emanuel Parzen   Change-point approach to data analytic
                                  wavelet thresholding . . . . . . . . . . 93--99
            Mary Kathryn Cowles   Accelerating Monte Carlo Markov chain
                                  convergence for cumulative-link
                                  generalized linear models  . . . . . . . 101--111
                     Jun S. Liu   Metropolized independent sampling with
                                  comparisons to rejection sampling and
                                  importance sampling  . . . . . . . . . . 113--119
              Murray Aitkin and   
                Steve Finch and   
              Nancy Mendell and   
                    Henry Thode   A new test for the presence of a normal
                                  mixture distribution based on the
                                  posterior Bayes factor . . . . . . . . . 121--125
              Murray Aitkin and   
                    Irit Aitkin   A hybrid EM/Gauss--Newton algorithm for
                                  maximum likelihood in mixture
                                  distributions  . . . . . . . . . . . . . 127--130
           Bruce E. Barrett and   
                  J. Brian Gray   Computation of determinantal subset
                                  influence in regression  . . . . . . . . 131--138
                  Reza Modarres   Bootstrap power of the generalized
                                  correlation coefficient  . . . . . . . . 139--145
                 Tim Hesterberg   Control variates and importance sampling
                                  for efficient bootstrap simulations  . . 147--157
                 Andrew R. Webb   An approach to non-linear principal
                                  components analysis using radially
                                  symmetric kernel functions . . . . . . . 159--168
               F. M. Malvestuto   Testing implication of hierarchical
                                  log-linear models for probability
                                  distributions  . . . . . . . . . . . . . 169--176
               W. J. Krzanowski   Efficient cross-validation of principal
                                  components . . . . . . . . . . . . . . . 177--177
           B. J. A. Mertens and   
                   T. Fearn and   
                    M. Thompson   Efficient cross-validation of principal
                                  components applied to principal
                                  component regression . . . . . . . . . . 178--178
                M. C. Jones and   
        Catherine B. Hurley and   
                 Telba Z. Irony   Book reviews . . . . . . . . . . . . . . 179--184
                      Anonymous   Erratum  . . . . . . . . . . . . . . . . 185--185
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??

Statistics and Computing
Volume 6, Number 3, September, 1996

                   Stephen Rowe   An algorithm for computing principal
                                  points with respect to a loss function
                                  in the unidimensional case . . . . . . . 187--190
           Daniel Zelterman and   
                 Chap T. Le and   
                Thomas A. Louis   Bootstrap techniques for proportional
                                  hazards models with censored
                                  observations . . . . . . . . . . . . . . 191--199
                Gordon K. Smyth   Partitioned algorithms for maximum
                                  likelihood and other non-linear
                                  estimation . . . . . . . . . . . . . . . 201--216
                   Boris Mirkin   Clustering for contingency tables: boxes
                                  and partitions . . . . . . . . . . . . . 217--229
               Stanislav Keprta   Non-binary classification trees  . . . . 231--243
               Ronald Cools and   
             Petros Dellaportas   The role of embedded integration rules
                                  in Bayesian statistics . . . . . . . . . 245--250
                  Murray Aitkin   A general maximum likelihood analysis of
                                  overdispersion in generalized linear
                                  models . . . . . . . . . . . . . . . . . 251--262
        Aipore R. de Moraes and   
                Ian R. Dunsmore   Influential data points in predictive
                                  logistic models  . . . . . . . . . . . . 263--268
           Jeffrey S. Rosenthal   Analysis of the Gibbs sampler for a
                                  model related to James--Stein estimators 269--275
               P. Vounatsou and   
                 A. F. M. Smith   Bayesian analysis of contingency tables:
                                  a simulation and graphics-based approach 277--287
    José C. Pinheiro and   
               Douglas M. Bates   Unconstrained parametrizations for
                                  variance-covariance matrices . . . . . . 289--296
            Alerto Roverato and   
                  Joe Whittaker   Standard errors for the parameters of
                                  graphical Gaussian models  . . . . . . . 297--302
             Peter S. Craig and   
               Allan H. Seheult   Pseudo-likelihood estimation for a class
                                  of spatial Markov chains . . . . . . . . 303--311
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??

Statistics and Computing
Volume 6, Number 4, December, 1996

                    Dag Wedelin   Efficient estimation and model selection
                                  in large graphical models  . . . . . . . 313--323
                Xun-Guo Lin and   
                      Alun Pope   Coverage plots for assessing the
                                  variability of estimated contours of a
                                  density  . . . . . . . . . . . . . . . . 325--336
                S. K. Vines and   
                W. R. Gilks and   
                        P. Wild   Fitting Bayesian multiple random effects
                                  models . . . . . . . . . . . . . . . . . 337--346
         R. Doallo-Biempica and   
B. B. Fraguela-Rodríguez and   
     A. Quintela-Del-Río   Evaluation of
                                  vectorization/parallelization
                                  techniques: application to nonparametric
                                  curve estimation . . . . . . . . . . . . 347--351
                Radford M. Neal   Sampling from multimodal distributions
                                  using tempered transitions . . . . . . . 353--366
                 Karen Chan and   
                    Alison Gray   Robustness of automated data choices of
                                  smoothing parameter in image
                                  regularization . . . . . . . . . . . . . 367--377
               J. N. R. Jeffers   Software review  . . . . . . . . . . . . 379--386
      Nozer D. Singpurwalla and   
           Robert Gentleman and   
           Willem J. Heiser and   
                Dibyen Majumdar   Book reviews . . . . . . . . . . . . . . 387--391
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??


Statistics and Computing
Volume 7, Number 1, 1997

            Halima Bensmail and   
              Gilles Celeux and   
          Adrian E. Raftery and   
            Christian P. Robert   Inference in model-based cluster
                                  analysis . . . . . . . . . . . . . . . . 1--10
             Ming-Yen Cheng and   
                 Peter Hall and   
             D. M. Titterington   On the shrinkage of local linear curve
                                  estimators . . . . . . . . . . . . . . . 11--17
     Pedro Larrañaga and   
       Cindy M. H. Kuijpers and   
                 Mikel Poza and   
               Roberto H. Murga   Decomposing Bayesian networks:
                                  triangulation of the moral graph with
                                  genetic algorithms . . . . . . . . . . . 19--34
                  Merrilee Hurn   Difficulties in the use of auxiliary
                                  variables in Markov chain Monte Carlo
                                  methods  . . . . . . . . . . . . . . . . 35--44
           Carla E. Brodley and   
                 Padhraic Smyth   Applying classification algorithms in
                                  practice . . . . . . . . . . . . . . . . 45--56
                  Dani Gamerman   Sampling from the posterior distribution
                                  in generalized linear mixed models . . . 57--68
                Andrew Webb and   
            Paul R. Yarnold and   
             Robert C. Soltysik   Review of ODA 1.0 optimal data analysis
                                  for DOSTM  . . . . . . . . . . . . . . . 69--73
            Jean Thioulouse and   
             Daniel Chessel and   
           Sylvain Dole'dec and   
            Jean-Michel Olivier   ADE-4: a multivariate analysis and
                                  graphical display software . . . . . . . 75--83
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??

Statistics and Computing
Volume 7, Number 2, 1997

               W. J. Krzanowski   Recent trends and developments in
                                  computational multivariate analysis  . . 87--99
           F. M. Malvestuto and   
                   M. Moscarini   Suppressing marginal totals from a
                                  two-dimensional table to protect
                                  sensitive information  . . . . . . . . . 101--114
                 Peter Hall and   
             Spiridon Penev and   
Gérard Kerkyacharian and   
               Dominique Picard   Numerical performance of block
                                  thresholded wavelet estimators . . . . . 115--124
            H. M. Gustafson and   
               E. P. Dawson and   
                 J. Dj. Goli\'c   Automated statistical methods for
                                  measuring the strength of block ciphers  125--135
              A. Silva Mato and   
 A. Martín Andrés   Simplifying the calculation of the
                                  $P$-value for Barnard's test and its
                                  derivatives  . . . . . . . . . . . . . . 137--143
             G. R. Oskrochi and   
                   R. B. Davies   An EM-type algorithm for multivariate
                                  mixture models . . . . . . . . . . . . . 145--151
          Bradley P. Carlin and   
                Thomas A. Louis   Bayes and Empirical Bayes Methods for
                                  Data Analysis  . . . . . . . . . . . . . 153--154
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??

Statistics and Computing
Volume 7, Number 3, 1997

              Trevor F. Cox and   
                  Kim F. Pearce   A robust logistic discrimination model   155--161
                Ouhong Wang and   
             William J. Kennedy   Application of numerical interval
                                  analysis to obtain self-validating
                                  results for multivariate probabilities
                                  in a massively parallel environment  . . 163--171
                  Anne Philippe   Simulation of right and left truncated
                                  gamma distributions by mixtures  . . . . 173--181
                Hui-May Chu and   
                       Lynn Kuo   Sampling based approach for one-hit and
                                  multi-hit models in quantal bioassay . . 183--192
             Luisa Franconi and   
           Christopher Jennison   Comparison of a genetic algorithm and
                                  simulated annealing in an application to
                                  statistical image reconstruction . . . . 193--207
             Francesco Mola and   
              Roberta Siciliano   A fast splitting procedure for
                                  classification trees . . . . . . . . . . 209--216
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??

Statistics and Computing
Volume 7, Number 4, 1997

                 M. Ostland and   
                          B. Yu   Exploring quasi Monte Carlo for marginal
                                  density approximation  . . . . . . . . . 217--228
                M. Lavielle and   
                    E. Moulines   A simulated annealing version of the EM
                                  algorithm for non-Gaussian deconvolution 229--236
              Adrian Bowman and   
              James Currall and   
                  Richard Lyall   The birds and the bees: interactive
                                  graphics and problem solving in the
                                  teaching of statistics . . . . . . . . . 237--246
                 A. P. Dempster   The direct use of likelihood for
                                  significance testing . . . . . . . . . . 247--252
                  Murray Aitkin   The calibration of $P$-values, posterior
                                  Bayes factors and the AIC from the
                                  posterior distribution of the likelihood 253--261
                       M. Stone   Discussion of papers by Dempster and
                                  Aitkin . . . . . . . . . . . . . . . . . 263--264
                 A. P. Dempster   Commentary on the paper by Murray
                                  Aitkin, and on discussion by Mervyn
                                  Stone  . . . . . . . . . . . . . . . . . 265--269
                  Murray Aitkin   Reply  . . . . . . . . . . . . . . . . . 271--272
                      Anonymous   Indexes (Volume 7, 1997) . . . . . . . . 273--278
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??


Statistics and Computing
Volume 8, Number 1, 1998

                 Martin Anthony   Probabilistic `generalization' of
                                  functions and dimension-based uniform
                                  convergence results  . . . . . . . . . . 5--14
         David J. C. Mackay and   
                   Ryo Takeuchi   Interpolation models with multiple
                                  hyperparameters  . . . . . . . . . . . . 15--23
          Robert Tibshirani and   
                Geoffrey Hinton   Coaching variables for regression and
                                  classification . . . . . . . . . . . . . 25--33
           David H. Wolpert and   
              Emanuel Knill and   
                   Tal Grossman   Some results concerning off-training-set
                                  and IID error for the Gibbs and the
                                  Bayes optimal generalizers . . . . . . . 35--54
              C. W. H. Mace and   
                A. C. C. Coolen   Statistical mechanical analysis of the
                                  dynamics of learning in perceptrons  . . 55--88
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??

Statistics and Computing
Volume 8, Number 2, June, 1998

               Robert G. Cowell   Mixture reduction via predictive scores  97--103
                   Stuart Coles   Inference for circular distributions and
                                  processes  . . . . . . . . . . . . . . . 105--113
        Mary Kathryn Cowles and   
           Jeffrey S. Rosenthal   A simulation approach to convergence
                                  rates for Markov chain Monte Carlo
                                  algorithms . . . . . . . . . . . . . . . 115--124
               Moody T. Chu and   
        Nickolay T. Trendafilov   On a differential equation approach to
                                  the weighted orthogonal Procrustes
                                  problem  . . . . . . . . . . . . . . . . 125--133
                 R. Settimi and   
                P. G. Blackwell   Conditional simulation for moving
                                  average processes with discrete or
                                  continuous values  . . . . . . . . . . . 135--144
        Christian P. Robert and   
             D. M. Titterington   Reparameterization strategies for hidden
                                  Markov models and Bayesian approaches to
                                  maximum likelihood estimation  . . . . . 145--158
                     D. Nilsson   An efficient algorithm for finding the
                                  $M$ most probable configurations in
                                  probabilistic expert systems . . . . . . 159--173
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??

Statistics and Computing
Volume 8, Number 3, August, 1998

           Jeffrey L. Solka and   
           Edward J. Wegman and   
            Carey E. Priebe and   
            Wendy L. Poston and   
               George W. Rogers   Mixture structure analysis using the
                                  Akaike Information Criterion and the
                                  bootstrap  . . . . . . . . . . . . . . . 177--188
           David F. Andrews and   
              James E. Stafford   Iterated full partitions . . . . . . . . 189--192
         Peter J. Rousseeuw and   
                    Anja Struyf   Computing location depth and regression
                                  depth in higher dimensions . . . . . . . 193--203
               A. T. Walden and   
           A. Contreras Cristan   Matching pursuit by undecimated discrete
                                  wavelet transform for non-stationary
                                  time series of arbitrary length  . . . . 205--219
           Håvard Rue and   
                Oddvar K. Husby   Identification of partly destroyed
                                  objects using deformable templates . . . 221--228
                Agostino Nobile   A hybrid Markov chain for the Bayesian
                                  analysis of the multinomial probit model 229--242
         Claus Skaanning Jensen   A simple method for finding a legal
                                  configuration in complex Bayesian
                                  networks . . . . . . . . . . . . . . . . 243--251
           Edward A. Silver and   
               Daniel Costa and   
               Willard Zangwill   Order statistics of independent
                                  identically distributed variables when
                                  the sum is known . . . . . . . . . . . . 253--265
                   S. P. Brooks   Quantitative convergence assessment for
                                  Markov chain Monte Carlo via cusums  . . 267--274
                     Bin Yu and   
                    Per Mykland   Looking at Markov samplers through cusum
                                  path plots: a simple diagnostic idea . . 275--286
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??

Statistics and Computing
Volume 8, Number 4, December, 1998

              Murray Aitkin and   
              Marco Alfó   Regression models for binary
                                  longitudinal responses . . . . . . . . . 289--307
                    A. Benn and   
                   R. Kulperger   Massively parallel computing: a
                                  statistical application  . . . . . . . . 309--318
          Stephen P. Brooks and   
              Gareth O. Roberts   Convergence assessment techniques for
                                  Markov chain Monte Carlo . . . . . . . . 319--335
           D. G. T. Denison and   
              B. K. Mallick and   
                 A. F. M. Smith   Bayesian MARS  . . . . . . . . . . . . . 337--346
                   Peter Foster   Exploring multivariate data using
                                  directions of high density . . . . . . . 347--355
                 Paul Gustafson   A guided walk Metropolis algorithm . . . 357--364
                   Marc Kennedy   Bayesian quadrature with non-normal
                                  approximating functions  . . . . . . . . 365--375
               Jian'an Luan and   
             Julian Stander and   
                   David Wright   On shape detection in noisy images with
                                  particular reference to ultrasonography  377--389
           John W. Mcdonald and   
           David C. Deroure and   
          Danius T. Michaelides   Exact tests for two-way symmetric
                                  contingency tables . . . . . . . . . . . 391--399
                      Anonymous   Functional Data Analysis . . . . . . . . 401--403
                      Anonymous   Software review  . . . . . . . . . . . . 405--406
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??


Statistics and Computing
Volume 9, Number 1, April, 1999

      Frank M. T. A. Busing and   
                Erik Meijer and   
            Rien Van Der Leeden   Delete-$m$ Jackknife for Unequal $m$ . . 3--8
            Angelo J. Canty and   
                  A. C. Davison   Implementation of saddlepoint
                                  approximations in resampling problems    9--15
            Siddhartha Chib and   
              Bradley P. Carlin   On MCMC sampling in hierarchical
                                  longitudinal models  . . . . . . . . . . 17--26
              C. F. De Beer and   
             J. W. H. Swanepoel   Simple and effective number-of-bins
                                  circumference selectors for a histogram  27--35
               J. Eccleston and   
                    D. Whitaker   On the design of optimal change-over
                                  experiments through multi-objective
                                  simulated annealing  . . . . . . . . . . 37--42
      Mohammed Reza Faghihi and   
          Charles C. Taylor and   
                  Ian L. Dryden   Procrustes shape analysis of
                                  triangulations of a two coloured point
                                  pattern  . . . . . . . . . . . . . . . . 43--53
              Sujit K. Sahu and   
              Gareth O. Roberts   On convergence of the EM algorithm and
                                  the Gibbs sampler  . . . . . . . . . . . 55--64
              Sylvain Sardy and   
         Donald B. Percival and   
            Andrew G. Bruce and   
                Hong-Ye Gao and   
                Werner Stuetzle   Wavelet shrinkage for unequally spaced
                                  data . . . . . . . . . . . . . . . . . . 65--75
                 I. S. Weir and   
                  A. N. Pettitt   Spatial modelling for binary data using
                                  a hidden conditional autoregressive
                                  Gaussian process: a multivariate
                                  extension of the probit model  . . . . . 77--86
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??

Statistics and Computing
Volume 9, Number 2, April, 1999

          Anthony Y. C. Kuk and   
                   Yuk W. Cheng   Pointwise and functional approximations
                                  in Monte Carlo maximum likelihood
                                  estimation . . . . . . . . . . . . . . . 91--99
               J. S. Marron and   
                       F. Udina   Interactive local bandwidth choice . . . 101--110
                Alan Willse and   
                 Robert J. Boik   Identifiable finite mixtures of location
                                  models for clustering mixed-mode data    111--121
                      Anonymous   Jerome H. Friedman and Nicholas I.
                                  Fisher . . . . . . . . . . . . . . . . . 123--143
         Jerome H. Friedman and   
             Nicholas I. Fisher   Bump hunting in high-dimensional data    123--143
                 Willi Kloesgen   Discussion on the paper by Friedman and
                                  Fisher . . . . . . . . . . . . . . . . . 143--144
                 Peter J. Huber   Discussion on the paper by Friedman and
                                  Fisher . . . . . . . . . . . . . . . . . 144--146
      Gregory Piatetsky-Shapiro   Discussion on the paper by Friedman and
                                  Fisher . . . . . . . . . . . . . . . . . 146--146
                 David W. Scott   Discussion on the paper by Friedman and
                                  Fisher . . . . . . . . . . . . . . . . . 146--147
                 A. J. Feelders   Discussion on the paper by Friedman and
                                  Fisher . . . . . . . . . . . . . . . . . 147--148
             D. M. Titterington   Discussion on the paper by Friedman and
                                  Fisher . . . . . . . . . . . . . . . . . 148--149
                 Padhraic Smyth   Discussion on the paper by Friedman and
                                  Fisher . . . . . . . . . . . . . . . . . 149--150
              Greg Ridgeway and   
          Thomas Richardson and   
                  David Madigan   Discussion on the paper by Friedman and
                                  Fisher . . . . . . . . . . . . . . . . . 150--152
                    Glenn Stone   Discussion on the paper by Friedman and
                                  Fisher . . . . . . . . . . . . . . . . . 152--153
                   Chris Burges   Discussion on the paper by Friedman and
                                  Fisher . . . . . . . . . . . . . . . . . 153--154
        Marcus Jürgens and   
                   Hans-J. Lenz   Discussion on the paper by Friedman and
                                  Fisher . . . . . . . . . . . . . . . . . 154--155
                    Daniel Lunn   Discussion on the paper by Friedman and
                                  Fisher . . . . . . . . . . . . . . . . . 155--156
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??

Statistics and Computing
Volume 9, Number 3, July, 1999

                  David J. Hand   Editorial  . . . . . . . . . . . . . . . 167--167
                 John Eccleston   Guest Editorial: Computational Issues in
                                  Experimental Design  . . . . . . . . . . 169--169
             Leonie Burgess and   
              Deborah J. Street   An interchange algorithm for four factor
                                  orthogonal main effect plans . . . . . . 171--177
                 A. M. Dean and   
                   N. R. Draper   Saturated main-effect designs for
                                  factorial experiments  . . . . . . . . . 179--185
              Jaime Delgado and   
                      Hari Iyer   Search for optimal designs in a three
                                  stagenested random model . . . . . . . . 187--193
              L. J. Elliott and   
            J. A. Eccleston and   
                   R. J. Martin   An algorithm for the design of factorial
                                  experiments when the data are correlated 195--201
                 J. A. John and   
                 E. R. Williams   Partially-latinized designs  . . . . . . 203--207
                   B. Jones and   
                        J. Wang   Constructing optimal designs for fitting
                                  pharmacokinetic models . . . . . . . . . 209--218
                  J. L. Low and   
                S. M. Lewis and   
                    P. Prescott   Assessing robustness of crossover
                                  designs to subjects dropping out . . . . 219--227
               R. J. Martin and   
             M. C. Bursnall and   
                 E. C. Stillman   Efficient designs for constrained
                                  mixture experiments  . . . . . . . . . . 229--237
                  K. G. Russell   A comparison of six methods of analysing
                                  row-column designs with inter-block
                                  information  . . . . . . . . . . . . . . 239--246
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??

Statistics and Computing
Volume 9, Number 4, November, 1999

             A. C. Atkinson and   
                    T.-C. Cheng   Computing least trimmed squares
                                  regression with the forward search . . . 251--263
                    G. Chan and   
                  A. T. A. Wood   Simulation of stationary Gaussian vector
                                  fields . . . . . . . . . . . . . . . . . 265--268
                 T. Edgoose and   
                     L. Allison   MML Markov classification of sequential
                                  data . . . . . . . . . . . . . . . . . . 269--278
            H. M. Gustafson and   
               E. P. Dawson and   
             J. Dj. Goli\'c and   
                  A. N. Pettitt   Methods for testing subblock patterns    279--286
            James P. Hobert and   
        Christian P. Robert and   
             D. M. Titterington   On perfect simulation for some mixtures
                                  of distributions . . . . . . . . . . . . 287--298
               Murray Jorgensen   A dynamic EM algorithm for estimating
                                  mixture proportions  . . . . . . . . . . 299--302
            Dimitris Karlis and   
               Evdokia Xekalaki   Improving the EM algorithm for mixtures  303--307
                     Y.-S. Shih   Families of splitting criteria for
                                  classification trees . . . . . . . . . . 309--315
                  Thomas Lumley   Review of the Stata statistical package  317--318
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??


Statistics and Computing
Volume 10, Number 1, January, 2000

           Thomas S. Richardson   Guest editorial  . . . . . . . . . . . . 3--4
            Rohan A. Baxter and   
             Jonathan J. Oliver   Finding overlapping components with MML  5--16
               Hugh Chipman and   
            Robert E. McCulloch   Hierarchical priors for Bayesian CART
                                  shrinkage  . . . . . . . . . . . . . . . 17--24
          Tommi S. Jaakkola and   
              Michael I. Jordan   Bayesian parameter estimation via
                                  variational methods  . . . . . . . . . . 25--37
               P. Kontkanen and   
          P. Myllymäki and   
                T. Silander and   
                   H. Tirri and   
               P. Grünwald   On predictive distributions and Bayesian
                                  networks . . . . . . . . . . . . . . . . 39--54
   David Maxwell Chickering and   
                David Heckerman   A comparison of scientific and
                                  engineering criteria for Bayesian model
                                  selection  . . . . . . . . . . . . . . . 55--62
                 Padhraic Smyth   Model selection for probabilistic
                                  clustering using cross-validated
                                  likelihood . . . . . . . . . . . . . . . 63--72
           Chris S. Wallace and   
                  David L. Dowe   MML clustering of multi-state, Poisson,
                                  von Mises circular and Gaussian
                                  distributions  . . . . . . . . . . . . . 73--83
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??

Statistics and Computing
Volume 10, Number 2, April, 2000

                    Mark Berman   Guest editorial: Image analysis  . . . . 91--93
                 F. Murtagh and   
                   J.-L. Starck   Image processing through multiscale
                                  analysis and measurement noise modeling  95--103
            Edmond J. Breen and   
               Ronald Jones and   
                  Hugues Talbot   Mathematical morphology: a useful set of
                                  tools for image analysis . . . . . . . . 105--120
               Dominique Jeulin   Random texture models for material
                                  structures . . . . . . . . . . . . . . . 121--132
            Shyam Kuttikkad and   
                 Rama Chellappa   Statistical modeling and analysis of
                                  high-resolution Synthetic Aperture Radar
                                  images . . . . . . . . . . . . . . . . . 133--145
           Richard M. Leahy and   
                       Jinyi Qi   Statistical approaches in quantitative
                                  positron emission tomography . . . . . . 147--165
               Anil K. Jain and   
                   Chitra Dorai   3D object recognition: Representation
                                  and matching . . . . . . . . . . . . . . 167--182
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??

Statistics and Computing
Volume 10, Number 3, July, 2000

                 Karen Chan and   
            Andrea Saltelli and   
              Stefano Tarantola   Winding Stairs: a sampling tool to
                                  compute sensitivity indices  . . . . . . 187--196
              Arnaud Doucet and   
              Simon Godsill and   
             Christophe Andrieu   On sequential Monte Carlo sampling
                                  methods for Bayesian filtering . . . . . 197--208
                P. Jonathan and   
           W. J. Krzanowski and   
                 W. V. McCarthy   On the use of cross-validation to assess
                                  performance in multivariate prediction   209--229
                 J. T. Kent and   
               M. Mohammadzadeh   Global optimization of the generalized
                                  cross-validation criterion . . . . . . . 231--236
          Duncan J. Murdoch and   
           Jeffrey S. Rosenthal   Efficient use of exact samples . . . . . 237--243
                Robert Read and   
                 Lyn Thomas and   
                  Alan Washburn   Estimating means when sampling gives
                                  probabilities as well as values or
                                  ``Looking a gift horse in the mouth''    245--252
                   Bill Shipley   A permutation procedure for testing the
                                  equality of pattern hypotheses across
                                  groups involving correlation or
                                  covariance matrices  . . . . . . . . . . 253--257
                Alun Thomas and   
            Alexander Gutin and   
            Victor Abkevich and   
                   Aruna Bansal   Multilocus linkage analysis by blocked
                                  Gibbs sampling . . . . . . . . . . . . . 259--269
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??

Statistics and Computing
Volume 10, Number 4, October, 2000

               Marco Alf\`o and   
                  Murray Aitkin   Random coefficient models for binary
                                  longitudinal responses with attrition    279--287
             O. Asparoukhov and   
               W. J. Krzanowski   Non-parametric smoothing of the location
                                  model in mixed variable discrimination   289--297
                 Mark J. Brewer   A Bayesian model for local smoothing in
                                  kernel density estimation  . . . . . . . 299--309
               M. Goldstein and   
                D. J. Wilkinson   Bayes linear analysis for graphical
                                  models: The geometric approach to local
                                  computation and interpretive graphics    311--324
              David J. Lunn and   
              Andrew Thomas and   
                 Nicky Best and   
            David Spiegelhalter   WinBUGS --- a Bayesian modelling
                                  framework: Concepts, structure, and
                                  extensibility  . . . . . . . . . . . . . 325--337
                    D. Peel and   
                G. J. McLachlan   Robust mixture modelling using the $t$
                                  distribution . . . . . . . . . . . . . . 339--348
            Brian M. Steele and   
             David A. Patterson   Ideal bootstrap estimation of expected
                                  prediction error for $k$-nearest
                                  neighbor classifiers: Applications for
                                  classification and error assessment  . . 349--355
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??


Statistics and Computing
Volume 11, Number 1, January, 2001

                 Jamie Stafford   Guest editorial  . . . . . . . . . . . . 5--6
                  D. F. Andrews   Asymptotic expansions of moments and
                                  cumulants  . . . . . . . . . . . . . . . 7--16
             Ruggero Bellio and   
         Alessandra R. Brazzale   A computer algebra package for
                                  approximate conditional inference  . . . 17--24
             Wilfrid S. Kendall   Symbolic Itô calculus in AXIOM: An
                                  ongoing story  . . . . . . . . . . . . . 25--35
                 G. Pistone and   
              E. Riccomagno and   
                  Henry P. Wynn   Gröbner bases and factorisation in
                                  discrete probability and Bayes . . . . . 37--46
              James E. Stafford   Using intersection matrices to identify
                                  graphical structure  . . . . . . . . . . 47--55
               A. I. Mcleod and   
                 B. Quenneville   Mean likelihood estimators . . . . . . . 57--65
          Elvezio Ronchetti and   
                  Laura Ventura   Between stability and higher-order
                                  asymptotics  . . . . . . . . . . . . . . 67--73
                Bruce Smith and   
              Christopher Field   Symbolic cumulant calculations for
                                  frequency domain time series . . . . . . 75--82
                John E. Kolassa   Bounding convergence rates for Markov
                                  chains: An example of the use of
                                  computer algebra . . . . . . . . . . . . 83--87
                 Riccardo Gatto   Symbolic computation for approximating
                                  distributions of some families of one
                                  and two-sample nonparametric test
                                  statistics . . . . . . . . . . . . . . . 89--95
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??

Statistics and Computing
Volume 11, Number 2, April, 2001

              Anne Philippe and   
            Christian P. Robert   Riemann sums for MCMC estimation and
                                  convergence monitoring . . . . . . . . . 103--115
                   Man-Lai Tang   Exact power computation for stratified
                                  dose-response studies  . . . . . . . . . 117--124
                Radford M. Neal   Annealed importance sampling . . . . . . 125--139
                Eva Cantoni and   
              Elvezio Ronchetti   Resistant selection of the smoothing
                                  parameter for smoothing splines  . . . . 141--146
                Fernando Tusell   A permutation test for randomness with
                                  power against smooth variation . . . . . 147--154
               F. M. Malvestuto   A hypergraph-theoretic analysis of
                                  collapsibility and decomposability for
                                  extended log-linear models . . . . . . . 155--169
            David G. T. Denison   Boosting with Bayesian stumps  . . . . . 171--178
                   S. P. Brooks   On Bayesian analyses and finite mixtures
                                  for proportions  . . . . . . . . . . . . 179--190
       Steffen L. Lauritzen and   
                   Frank Jensen   Stable local computation with
                                  conditional Gaussian distributions . . . 191--203
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??

Statistics and Computing
Volume 11, Number 3, July, 2001

                   Rodney Wolff   Guest Editorial: Introduction  . . . . . 211--212
            Anthony J. Lawrance   Chaos: But Not in Both Directions! . . . 213--216
               Phil Diamond and   
              Alexei Pokrovskii   The Statistics of Simulating Chaos . . . 217--228
Bärbel F. Finkenstädt and   
                  Qiwei Yao and   
                    Howell Tong   A Conditional Density Approach to the
                                  Order Determination of Time Series . . . 229--240
               Silvia Golia and   
                   Marco Sandri   A Resampling Algorithm for Chaotic Time
                                  Series . . . . . . . . . . . . . . . . . 241--255
              Michael Small and   
                 Kevin Judd and   
                  Alistair Mees   Testing Time Series for Nonlinearity . . 257--268
               L. Mark Berliner   Monte Carlo Based Ensemble Forecasting   269--275
    Dominique Geégan and   
                 Rolf Tschernig   Prediction of Chaotic Time Series in the
                                  Presence of Measurement Error: the
                                  Importance of Initial Conditions . . . . 277--284
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??

Statistics and Computing
Volume 11, Number 4, October, 2001

             Michael G. Schimek   Guest editorial: Semiparametric function
                                  estimation and testing . . . . . . . . . 291--292
        Joan G. Staniswalis and   
                 Peter F. Thall   An explanation of generalized profile
                                  likelihoods  . . . . . . . . . . . . . . 293--298
            Marlene Müller   Estimation and testing in generalized
                                  partial linear models --- a comparative
                                  study  . . . . . . . . . . . . . . . . . 299--309
            Joan G. Staniswalis   Discussion of the paper by Dr. M. Müller  311--312
                Robert Kohn and   
              Michael Smith and   
                     David Chan   Nonparametric regression using linear
                                  combinations of basis functions  . . . . 313--322
               Birgit Grund and   
              Jörg Polzehl   Semiparametric lack-of-fit tests in an
                                  additive hazard regression model . . . . 323--335
              Merrilee Hurn and   
         Ingelin Steinsland and   
               Håvard Rue   Parameter estimation for a deformable
                                  template model . . . . . . . . . . . . . 337--346
            Gavin J. Gibson and   
                   Eric Renshaw   Likelihood estimation for stochastic
                                  compartmental models using Markov chain
                                  methods  . . . . . . . . . . . . . . . . 347--358
                 Martin Crowder   Corrected $p$-values for tests based on
                                  estimated nuisance parameters  . . . . . 359--365
                  Qiwei Yao and   
              Wenyang Zhang and   
                    Howell Tong   Bootstrap estimation of actual
                                  significance levels for tests based on
                                  estimated nuisance parameters  . . . . . 367--371
              Umberto Amato and   
             Anestis Antoniadis   Adaptive wavelet series estimation in
                                  separable nonparametric regression
                                  models . . . . . . . . . . . . . . . . . 373--394
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??


Statistics and Computing
Volume 12, Number 1, January, 2002

                  David J. Hand   It's been great-and the future looks
                                  even better  . . . . . . . . . . . . . . 5--5
               R. Wayne Oldford   Editorial  . . . . . . . . . . . . . . . 7--7
           Ronald W. Butler and   
               Marc S. Paolella   Calculating the density and distribution
                                  function for the singly and doubly
                                  noncentral $F$ . . . . . . . . . . . . . 9--16
               Piero Barone and   
        Giovanni Sebastiani and   
                 Julian Stander   Over-relaxation methods and coupled
                                  Markov chains for Monte Carlo simulation 17--26
         Petros Dellaportas and   
        Jonathan J. Forster and   
              Ioannis Ntzoufras   On Bayesian model and variable selection
                                  using MCMC . . . . . . . . . . . . . . . 27--36
               F. O. Bunnin and   
                     Y. Guo and   
                         Y. Ren   Option pricing under model and parameter
                                  uncertainty using predictive densities   37--44
               Guy P. Nason and   
            Theofanis Sapatinas   Wavelet packet transfer function
                                  modelling of nonstationary time series   45--56
               G. D. Rayner and   
             H. L. MacGillivray   Numerical maximum likelihood estimation
                                  for the $g$-and-$k$ and generalized
                                  $g$-and-$h$ distributions  . . . . . . . 57--75
              Arnaud Doucet and   
           Simon J. Godsill and   
            Christian P. Robert   Marginal maximum a posteriori estimation
                                  using Markov chain Monte Carlo . . . . . 77--84
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??

Statistics and Computing
Volume 12, Number 2, April, 2002

               Enrique Alba and   
           José M. Troya   Improving flexibility and efficiency by
                                  adding parallelism to genetic algorithms 91--114
             Ilya Molchanov and   
                   Sergei Zuyev   Steepest descent algorithms in a space
                                  of measures  . . . . . . . . . . . . . . 115--123
             Xavier De Luna and   
                 Marc G. Genton   Simulation-based inference for
                                  simultaneous processes on regular
                                  lattices . . . . . . . . . . . . . . . . 125--134
        Nickolay T. Trendafilov   GIPSCAL revisited. A projected gradient
                                  approach . . . . . . . . . . . . . . . . 135--145
           Joseph B. Kadane and   
            Pantelis K. Vlachos   Hybrid methods for calculating optimal
                                  few-stage sequential strategies: Data
                                  monitoring for a clinical trial  . . . . 147--152
          Gillian Lancaster and   
                     Mick Green   Latent variable techniques for
                                  categorical data . . . . . . . . . . . . 153--161
              Murray Aitkin and   
                  Roberto Rocci   A general maximum likelihood analysis of
                                  measurement error in generalized linear
                                  models . . . . . . . . . . . . . . . . . 163--174
                Hong-Tu Zhu and   
                    Sik-Yum Lee   Analysis of generalized linear mixed
                                  models via a stochastic approximation
                                  algorithm with Markov chain Monte--Carlo
                                  method . . . . . . . . . . . . . . . . . 175--183
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??

Statistics and Computing
Volume 12, Number 3, July, 2002

           Christophe Croux and   
        Gentiane Haesbroeck and   
             Peter J. Rousseeuw   Location adjustment for the minimum
                                  volume ellipsoid estimator . . . . . . . 191--200
                    Youngjo Lee   Robust variance estimators for
                                  fixed-effect estimates with
                                  hierarchical-likelihood  . . . . . . . . 201--207
          Stephen M. S. Lee and   
               Irene O. L. Wong   A hybrid approach based on saddlepoint
                                  and importance sampling methods for
                                  bootstrap tail probability estimation    209--217
                   Guy P. Nason   Choice of wavelet smoothness, primary
                                  resolution and threshold in wavelet
                                  shrinkage  . . . . . . . . . . . . . . . 219--227
                  Yuzhi Cai and   
             Wilfrid S. Kendall   Perfect simulation for correlated
                                  Poisson random variables conditioned to
                                  be positive  . . . . . . . . . . . . . . 229--243
             Todd Mackenzie and   
            Michal Abrahamowicz   Marginal and hazard ratio specific
                                  random data generation: Applications to
                                  semi-parametric bootstrapping  . . . . . 245--252
                   T. Fearn and   
                P. J. Brown and   
                     P. Besbeas   A Bayesian decision theory approach to
                                  variable selection for discrimination    253--260
         Valérie Ventura   Non-parametric bootstrap recycling . . . 261--273
              Kian Guan Lim and   
                       Qin Xiao   Computing maximum smoothness forward
                                  rate curves  . . . . . . . . . . . . . . 275--279
             Robert F. Phillips   Least absolute deviations estimation via
                                  the EM algorithm . . . . . . . . . . . . 281--285
        Darren J. Wilkinson and   
            Stephen K. H. Yeung   Conditional simulation from highly
                                  structured Gaussian systems, with
                                  application to blocking-MCMC for the
                                  Bayesian analysis of very large linear
                                  models . . . . . . . . . . . . . . . . . 287--300
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??

Statistics and Computing
Volume 12, Number 4, October, 2002

                I. H. Dinwoodie   Algebraic Methods for Polynomial
                                  Statistical Models . . . . . . . . . . . 307--314
                 Kert Viele and   
                   Barbara Tong   Modeling with Mixtures of Linear
                                  Regressions  . . . . . . . . . . . . . . 315--330
                 Alan D. Hutson   A Semi-Parametric Quantile Function
                                  Estimator for Use in Bootstrap
                                  Estimation Procedures  . . . . . . . . . 331--338
                David H. Foster   Automatic repeated-loess decomposition
                                  of data consisting of sums of
                                  oscillatory curves . . . . . . . . . . . 339--351
              A. N. Pettitt and   
                 I. S. Weir and   
                     A. G. Hart   A Conditional Autoregressive Gaussian
                                  Process for Irregularly Spaced
                                  Multivariate Data with Application to
                                  Modelling Large Sets of Binary Data  . . 353--367
          David J. Allcroft and   
               Chris A. Glasbey   A Spectral Estimator of Arma Parameters
                                  from Thresholded Data  . . . . . . . . . 369--376
            Mary Kathryn Cowles   MCMC Sampler Convergence Rates for
                                  Hierarchical Normal Linear Models: A
                                  Simulation Approach  . . . . . . . . . . 377--389
                  R. G. Aykroyd   Approximations for Gibbs Distribution
                                  Normalising Constants  . . . . . . . . . 391--397
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??


Statistics and Computing
Volume 13, Number 1, February, 2003

      Daniel Neuenschwander and   
              Hansmartin Zeuner   Generating random numbers of prescribed
                                  distribution using physical sources  . . 5--11
           Matteo Fischetti and   
Juan-José Salazar-González   Partial cell suppression: a new
                                  methodology for statistical disclosure
                                  control  . . . . . . . . . . . . . . . . 13--21
                   C. Croux and   
               P. Filzmoser and   
                   G. Pison and   
                P. J. Rousseeuw   Fitting multiplicative models by robust
                                  alternating regressions  . . . . . . . . 23--36
              Philip D. O'Neill   Perfect simulation for Reed--Frost
                                  epidemic models  . . . . . . . . . . . . 37--44
                   S. K. Ng and   
                G. J. McLachlan   On the choice of the number of blocks
                                  with the incremental EM algorithm for
                                  the fitting of normal mixtures . . . . . 45--55
        Malene Hòjbjerre   Profile likelihood in directed graphical
                                  models from BUGS output  . . . . . . . . 57--66
           Nicholas T. Longford   An alternative to model selection in
                                  ordinary regression  . . . . . . . . . . 67--80
                David H. Foster   Automatic repeated-loess decomposition
                                  of data consisting of sums of
                                  oscillatory curves . . . . . . . . . . . 81--81
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??

Statistics and Computing
Volume 13, Number 2, April, 2003

                  R. W. Oldford   Editorial: Statistics and computing:
                                  Having an impact . . . . . . . . . . . . 87--89
            John C. Liechty and   
           Dennis K. J. Lin and   
             James P. McDermott   Single-pass low-storage arbitrary
                                  quantile estimation for massive datasets 91--100
              Anthony Y. C. Kuk   Automatic choice of driving values in
                                  Monte Carlo likelihood approximation via
                                  posterior simulations  . . . . . . . . . 101--109
               Glenn Marion and   
               Gavin Gibson and   
                   Eric Renshaw   Estimating likelihoods for
                                  spatio-temporal models using importance
                                  sampling . . . . . . . . . . . . . . . . 111--119
                John E. Kolassa   Algorithms for approximate conditional
                                  inference  . . . . . . . . . . . . . . . 121--126
Rubén Fernández-Casal and   
Wenceslao González-Manteiga and   
           Manuel Febrero-Bande   Flexible spatio-temporal stationary
                                  variogram models . . . . . . . . . . . . 127--136
           David A. Van Dyk and   
                     Ruoxi Tang   The one-step-late PXEM algorithm . . . . 137--152
                 Kim Miller and   
          Suneeta Ramaswami and   
            Peter Rousseeuw and   
       J. Antoni Sellar\`es and   
             Diane Souvaine and   
             Ileana Streinu and   
                    Anja Struyf   Efficient computation of location depth
                                  contours by methods of computational
                                  geometry . . . . . . . . . . . . . . . . 153--162
         Òyvind Langsrud   ANOVA for unbalanced data: Use Type II
                                  instead of Type III sums of squares  . . 163--167
        Jonathan J. Forster and   
           John W. McDonald and   
              Peter W. F. Smith   Markov chain Monte Carlo exact inference
                                  for binomial and multinomial logistic
                                  regression models  . . . . . . . . . . . 169--177
              Anne Philippe and   
            Christian P. Robert   Perfect simulation of positive Gaussian
                                  distributions  . . . . . . . . . . . . . 179--186
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??

Statistics and Computing
Volume 13, Number 3, August, 2003

                   Paul Yau and   
                    Robert Kohn   Estimation and variable selection in
                                  nonparametric heteroscedastic regression 191--208
                 Mark J. Brewer   Discretisation for inference on normal
                                  mixture models . . . . . . . . . . . . . 209--219
               Shoufan Fang and   
          George Z. Gertner and   
        Svetlana Shinkareva and   
             Guangxing Wang and   
                  Alan Anderson   Improved generalized Fourier amplitude
                                  sensitivity test (FAST) for model
                                  assessment . . . . . . . . . . . . . . . 221--226
              Murray Aitkin and   
                     Rob Foxall   Statistical modelling of artificial
                                  neural networks using the multi-layer
                                  perceptron . . . . . . . . . . . . . . . 227--239
                M. C. Jones and   
                        I. Koch   Dependence maps: Local dependence in
                                  practice . . . . . . . . . . . . . . . . 241--255
           Dankmar Böhning   The EM algorithm with gradient function
                                  update for discrete mixtures with known
                                  (fixed) number of components . . . . . . 257--265
          Richard J. Bolton and   
              David J. Hand and   
                 Andrew R. Webb   Projection techniques for nonlinear
                                  principal component analysis . . . . . . 267--276
                  Harry Joe and   
                   John C. Nash   Numerical optimization and surface
                                  estimation with imprecise function
                                  evaluations  . . . . . . . . . . . . . . 277--286
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??

Statistics and Computing
Volume 13, Number 4, October, 2003

                Leon Willenborg   Guest editorial: Introduction  . . . . . 291--293
             Luisa Franconi and   
                 Julian Stander   Spatial and non-spatial model-based
                                  protection procedures for the release of
                                  business microdata . . . . . . . . . . . 295--305
               Silvia Polettini   Maximum entropy simulation for microdata
                                  protection . . . . . . . . . . . . . . . 307--320
                   Jim Burridge   Information preserving statistical
                                  obfuscation  . . . . . . . . . . . . . . 321--327
    Krishnamurty Muralidhar and   
              Rathindra Sarathy   A theoretical basis for perturbation
                                  methods  . . . . . . . . . . . . . . . . 329--335
           Silvia Polettini and   
                 Julian Stander   A comment on ``A theoretical basis for
                                  perturbation methods'' by Krishnamurty
                                  Muralidhar and Rathindra Sarathy . . . . 337--338
    Krishnamurty Muralidhar and   
              Rathindra Sarathy   A rejoinder to the comments by Polettini
                                  and Stander  . . . . . . . . . . . . . . 339--342
       Josep Domingo-Ferrer and   
            Vicenç Torra   Disclosure risk assessment in
                                  statistical microdata protection via
                                  advanced record linkage  . . . . . . . . 343--354
               Menno Cuppen and   
                Leon Willenborg   Source Data Perturbation and consistent
                                  sets of safe tables  . . . . . . . . . . 355--362
               Adrian Dobra and   
               Alan F. Karr and   
                Ashish P. Sanil   Preserving confidentiality of
                                  high-dimensional tabulated data:
                                  Statistical and computational issues . . 363--370
               Jerome P. Reiter   Model Diagnostics for Remote Access
                                  Regression Servers . . . . . . . . . . . 371--380
             Barry Schouten and   
                   Marc Cigrang   Remote access systems for statistical
                                  analysis of microdata  . . . . . . . . . 381--389
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??


Statistics and Computing
Volume 14, Number 1, January, 2004

            Pierre L'Ecuyer and   
            Renée Touzin   On the Deng--Lin random number
                                  generators and related methods . . . . . 5--9
                 Paul Fearnhead   Particle filters for mixture models with
                                  an unknown number of components  . . . . 11--21
             Paul Gustafson and   
             Ying C. MacNab and   
                      Sijin Wen   On the Value of derivative evaluations
                                  and random walk suppression in Markov
                                  Chain Monte Carlo algorithms . . . . . . 23--38
    Nickolay T. Trendafilov and   
                   G. A. Watson   The $ l_1 $ oblique Procrustes problem   39--51
               John T. Kent and   
    Patrick D. L. Constable and   
                      Fikret Er   Simulation for the complex Bingham
                                  distribution . . . . . . . . . . . . . . 53--57
        Chuhsing Kate Hsiao and   
               Su-Yun Huang and   
                Ching-Wei Chang   Bayesian marginal inference via
                                  candidate's formula  . . . . . . . . . . 59--66
         Rostislav S. Protassov   EM-based maximum likelihood parameter
                                  estimation for multivariate generalized
                                  hyperbolic distributions with fixed $
                                  \lambda $  . . . . . . . . . . . . . . . 67--77
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??

Statistics and Computing
Volume 14, Number 2, April, 2004

              D. Waddington and   
                    R. Thompson   Using a correlated probit model
                                  approximation to estimate the variance
                                  for binary matched pairs . . . . . . . . 83--90
                  Xin Huang and   
           Christopher G. Small   Calculating the simplex median . . . . . 91--98
           David J. Gorsich and   
                 Marc G. Genton   On the discretization of nonparametric
                                  isotropic covariogram estimators . . . . 99--108
          Matthew A. Bognar and   
            Mary Kathryn Cowles   Bayesian inference for pairwise
                                  interacting point processes  . . . . . . 109--117
               Tsung I. Lin and   
                Jack C. Lee and   
                     Huey F. Ni   Bayesian analysis of mixture modelling
                                  using the multivariate t distribution    119--130
         Andrey Feuerverger and   
           Jeffrey S. Rosenthal   Achieving limiting distributions for
                                  Markov chains using back buttons . . . . 131--141
          Martin Wainwright and   
             Tommi Jaakkola and   
                   Alan Willsky   Tree consistency and bounds on the
                                  performance of the max-product algorithm
                                  and its generalizations  . . . . . . . . 143--166
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??

Statistics and Computing
Volume 14, Number 3, August, 2004

                Matt Whiley and   
                Simon P. Wilson   Parallel algorithms for Markov chain
                                  Monte Carlo methods in latent spatial
                                  Gaussian models  . . . . . . . . . . . . 171--179
            M. Gómez and   
                      C. Bielza   Node deletion sequences in influence
                                  diagrams using genetic algorithms  . . . 181--198
              Alex J. Smola and   
        Bernhard Schölkopf   A tutorial on support vector regression  199--222
           Efthymios G. Tsionas   Bayesian inference for multivariate
                                  gamma distributions  . . . . . . . . . . 223--233
       Daniela De Canditiis and   
            Theofanis Sapatinas   Testing for additivity and joint effects
                                  in multivariate nonparametric regression
                                  using Fourier and wavelet methods  . . . 235--249
                      Alan Genz   Numerical computation of rectangular
                                  bivariate and trivariate normal and $t$
                                  probabilities  . . . . . . . . . . . . . 251--260
                 Paul Fearnhead   Filtering recursions for calculating
                                  likelihoods for queues based on
                                  inter-departure time data  . . . . . . . 261--266
           Christophe Biernacki   Initializing EM using the properties of
                                  its trajectories in Gaussian mixtures    267--279
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??

Statistics and Computing
Volume 14, Number 4, October, 2004

           Ian H. Dinwoodie and   
   Laura Felicia Matusevich and   
                     Ed Mosteig   Transform methods for the hypergeometric
                                  distribution . . . . . . . . . . . . . . 287--297
              Chin-Tsai Lin and   
             Chie-Bein Chen and   
                  Wen-Hsiang Wu   Fuzzy clustering algorithm for latent
                                  class model  . . . . . . . . . . . . . . 299--310
         Heather M. Podlich and   
           Malcolm J. Faddy and   
                Gordon K. Smyth   Semi-parametric extended Poisson process
                                  models for count data  . . . . . . . . . 311--321
        José G. Dias and   
                   Michel Wedel   An empirical comparison of EM, SEM and
                                  MCMC performance for problematic
                                  Gaussian mixture likelihoods . . . . . . 323--332
                  Sylvain Maire   Polynomial approximations of
                                  multivariate smooth functions from
                                  quasi-random data  . . . . . . . . . . . 333--336
           Thomas C. M. Lee and   
                    Hee-Seok Oh   Automatic polynomial wavelet regression  337--341
               Zhihua Zhang and   
               Kap Luk Chan and   
                  Yiming Wu and   
                   Chibiao Chen   Learning a multivariate Gaussian mixture
                                  model with the reversible jump MCMC
                                  algorithm  . . . . . . . . . . . . . . . 343--355
              Julian J. Faraway   Modeling continuous shape change for
                                  facial animation . . . . . . . . . . . . 357--363
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??


Statistics and Computing
Volume 15, Number 1, January, 2005

                 G. H. Zhao and   
                  K. L. Teo and   
                     K. S. Chan   Estimation of conditional quantiles by a
                                  new smoothing approximation of
                                  asymmetric loss functions  . . . . . . . 5--11
                   Faming Liang   Bayesian neural networks for nonlinear
                                  time series forecasting  . . . . . . . . 13--29
                  J. Q. Shi and   
            R. Murray-Smith and   
             D. M. Titterington   Hierarchical Gaussian process mixtures
                                  for regression . . . . . . . . . . . . . 31--41
          Rechel M. Hilliam and   
            Anthony J. Lawrance   Chaos communication synchronization:
                                  Combatting noise by distribution
                                  transformation . . . . . . . . . . . . . 43--52
         Òyvind Langsrud   Rotation tests . . . . . . . . . . . . . 53--60
          Deepak K. Agarwal and   
                Alan E. Gelfand   Slice sampling for simulation based
                                  fitting of spatial data models . . . . . 61--69
                   Paul Kabaila   Computation of exact confidence
                                  intervals from discrete data using
                                  Studentized test statistics  . . . . . . 71--78
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??

Statistics and Computing
Volume 15, Number 2, April, 2005

            Idris A. Eckley and   
                   Guy P. Nason   Efficient computation of the discrete
                                  autocorrelation wavelet inner product
                                  matrix . . . . . . . . . . . . . . . . . 83--92
              David J. Nott and   
          Anthony Y. C. Kuk and   
                       Hiep Duc   Efficient sampling schemes for Bayesian
                                  MARS models with many predictors . . . . 93--101
    Stefanos G. Giakoumatos and   
         Petros Dellaportas and   
            Dimitris N. Politis   Bayesian analysis of the unobserved ARCH
                                  model  . . . . . . . . . . . . . . . . . 103--111
               M. Di Marzio and   
                   C. C. Taylor   Kernel density classification and
                                  boosting: an $ L_2 $ analysis  . . . . . 113--123
                 Paul Fearnhead   Direct simulation for discrete mixture
                                  distributions  . . . . . . . . . . . . . 125--133
                   Dong Guo and   
              Xiaodong Wang and   
                      Rong Chen   New sequential Monte Carlo methods for
                                  nonlinear dynamic systems  . . . . . . . 135--147
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??

Statistics and Computing
Volume 15, Number 3, July, 2005

                    G. Tutz and   
                      H. Binder   Localized classification . . . . . . . . 155--166
            Trevor Sweeting and   
                Samer Kharroubi   Application of a predictive distribution
                                  formula to Bayesian computation for
                                  incomplete data models . . . . . . . . . 167--178
              Peter Schlattmann   On bootstrapping the number of
                                  components in finite mixtures of Poisson
                                  distributions  . . . . . . . . . . . . . 179--188
      Alain Desgagné and   
    Jean-François Angers   Importance sampling with the generalized
                                  exponential power density  . . . . . . . 189--196
            Markus Frölich   Matching estimators and optimal
                                  bandwidth choice . . . . . . . . . . . . 197--215
              Murray Aitkin and   
            Richard J. Boys and   
                   Tom Chadwick   Bayesian point null hypothesis testing
                                  via the posterior likelihood ratio . . . 217--230
            Abdissa Negassa and   
             Antonio Ciampi and   
        Michal Abrahamowicz and   
            Stanley Shapiro and   
    Jean-François Boivin   Tree-structured subgroup analysis for
                                  censored survival data: Validation of
                                  computationally inexpensive model
                                  selection criteria . . . . . . . . . . . 231--239
             Dirk V. Arnold and   
               Hans-Georg Beyer   Expected sample moments of concomitants
                                  of selected order statistics . . . . . . 241--250
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??

Statistics and Computing
Volume 15, Number 4, October, 2005

            Dimitris Karlis and   
           Loukia Meligkotsidou   Multivariate Poisson regression with
                                  covariance structure . . . . . . . . . . 255--265
              Peter K. Dunn and   
                Gordon K. Smyth   Series evaluation of Tweedie exponential
                                  dispersion model densities . . . . . . . 267--280
           Ronald W. Butler and   
              Andrew T. A. Wood   Approximation of power in multivariate
                                  analysis . . . . . . . . . . . . . . . . 281--287
    J. Roca-Pardiñas and   
   C. Cadarso-Suárez and   
    W. González-Manteiga   Testing for interactions in generalized
                                  additive models: Application to SO$_2$
                                  pollution data . . . . . . . . . . . . . 289--299
             Jochen Einbeck and   
               Gerhard Tutz and   
                   Ludger Evers   Local principal curves . . . . . . . . . 301--313
                 Peter Neal and   
                 Gareth Roberts   A case study in non-centering for data
                                  augmentation: Stochastic epidemics . . . 315--327
                 Feng Zhang and   
               Bani Mallick and   
                    Zhujun Weng   A Bayesian method for identifying
                                  independent sources of non-random
                                  spatial patterns . . . . . . . . . . . . 329--339
                     Sven Knoth   Accurate ARL computation for EWMA-$ S^2
                                  $ control charts . . . . . . . . . . . . 341--352
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??


Statistics and Computing
Volume 16, Number 1, January, 2006

           Jon D. McAuliffe and   
              David M. Blei and   
              Michael I. Jordan   Nonparametric empirical Bayes for the
                                  Dirichlet process mixture model  . . . . 5--14
       Martin J. Wolfsegger and   
                    Thomas Jaki   Simultaneous confidence intervals by
                                  iteratively adjusted alpha for relative
                                  effects in the one-way layout  . . . . . 15--23
         Donald B. Percival and   
      William L. B. Constantine   Exact simulation of Gaussian Time Series
                                  from Nonparametric Spectral Estimates
                                  with Application to Bootstrapping  . . . 25--35
              Umberto Amato and   
         Anestis Antoniadis and   
                Marianna Pensky   Wavelet kernel penalized estimation for
                                  non-equispaced design regression . . . . 37--55
         Petros Dellaportas and   
            Ioulia Papageorgiou   Multivariate mixtures of normals with
                                  unknown number of components . . . . . . 57--68
                Youngjo Lee and   
                 John A. Nelder   Fitting via alternative random-effect
                                  models . . . . . . . . . . . . . . . . . 69--75
               Marina Meila and   
                 Tommi Jaakkola   Tractable Bayesian learning of tree
                                  belief networks  . . . . . . . . . . . . 77--92
                 Jo Eidsvik and   
         HåKon Tjelmeland   On directional Metropolis--Hastings
                                  algorithms . . . . . . . . . . . . . . . 93--106
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??

Statistics and Computing
Volume 16, Number 2, June, 2006

                  Wolfgang Jank   Efficient simulated maximum likelihood
                                  with an application to online retailing  111--124
                  Mike K. P. So   Bayesian analysis of nonlinear and
                                  non-Gaussian state space models via
                                  multiple-try sampling methods  . . . . . 125--141
           Matthew A. Nunes and   
           Marina I. Knight and   
                   Guy P. Nason   Adaptive lifting for nonparametric
                                  regression . . . . . . . . . . . . . . . 143--159
                 Jan Poland and   
                  Marcus Hutter   MDL convergence speed for Bernoulli
                                  sequences  . . . . . . . . . . . . . . . 161--175
                T. Bernholt and   
                   R. Fried and   
                  U. Gather and   
                     I. Wegener   Modified repeated median filters . . . . 177--192
               Yongtao Guan and   
      Roland Fleißner and   
                 Paul Joyce and   
               Stephen M. Krone   Markov Chain Monte Carlo in small worlds 193--202
                 Paul Fearnhead   Exact and efficient Bayesian inference
                                  for multiple changepoint problems  . . . 203--213
             Nizar Bouguila and   
                Djemel Ziou and   
                   Ernest Monga   Practical Bayesian estimation of a
                                  finite beta mixture through Gibbs
                                  sampling and its applications  . . . . . 215--225
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??

Statistics and Computing
Volume 16, Number 3, September, 2006

               Marco Alf\`o and   
                  Murray Aitkin   Variance component models for
                                  longitudinal count data with baseline
                                  information: epilepsy data revisited . . 231--238
           Cajo J. F. Ter Braak   A Markov Chain Monte Carlo version of
                                  the genetic algorithm Differential
                                  Evolution: easy Bayesian computing for
                                  real parameter spaces  . . . . . . . . . 239--249
               Enrique Alba and   
       Enrique Domínguez   Comparative analysis of modern
                                  optimization tools for the $p$-median
                                  problem  . . . . . . . . . . . . . . . . 251--260
                Alfred Kume and   
              Stephen G. Walker   Sampling from compositional and
                                  directional distributions  . . . . . . . 261--265
           Kenny Y. F. Chan and   
          Stephen M. S. Lee and   
                      Kai W. Ng   Minimum variance unbiased estimation
                                  based on bootstrap iterations  . . . . . 267--277
                Onno Zoeter and   
                     Tom Heskes   Deterministic approximate inference
                                  techniques for conditionally Gaussian
                                  state space models . . . . . . . . . . . 279--292
              Barry R. Cobb and   
          Prakash P. Shenoy and   
             Rafael Rumí   Approximating probability density
                                  functions in hybrid Bayesian networks
                                  with mixtures of truncated exponentials  293--308
           Nikolaos Demiris and   
              Philip D. O'Neill   Computation of final outcome
                                  probabilities for the generalised
                                  stochastic epidemic  . . . . . . . . . . 309--317
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??

Statistics and Computing
Volume 16, Number 4, December, 2006

           Andrew Golightly and   
            Darren J. Wilkinson   Bayesian sequential inference for
                                  nonlinear multivariate diffusions  . . . 323--338
              Heikki Haario and   
                Marko Laine and   
            Antonietta Mira and   
                   Eero Saksman   DRAM: Efficient adaptive MCMC  . . . . . 339--354
             Jukka Corander and   
            Mats Gyllenberg and   
                     Timo Koski   Bayesian model learning based on a
                                  parallel MCMC strategy . . . . . . . . . 355--362
          Robert G. Aykroyd and   
                Brain A. Cattle   A flexible statistical and efficient
                                  computational approach to object
                                  location applied to electrical
                                  tomography . . . . . . . . . . . . . . . 363--375
               A. W. Bowman and   
                    A. Pope and   
                      B. Ismail   Detecting discontinuities in
                                  nonparametric regression curves and
                                  surfaces . . . . . . . . . . . . . . . . 377--390
               G. J. Gibson and   
                   W. Otten and   
            J. A. N. Filipe and   
                    A. Cook and   
                  G. Marion and   
                 C. A. Gilligan   Bayesian estimation for percolation
                                  models of disease spread in plant
                                  populations  . . . . . . . . . . . . . . 391--402
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??


Statistics and Computing
Volume 17, Number 1, March, 2007

              W. S. Kendall and   
                J.-M. Marin and   
                   C. P. Robert   Confidence bands for Brownian motion and
                                  applications to Monte Carlo simulation   1--10
              David J. Hand and   
       Wojtek J. Krzanowski and   
              Martin J. Crowder   Optimal predictive partitioning  . . . . 11--21
               Gopi Goswami and   
                     Jun S. Liu   On learning strategies for evolutionary
                                  Monte Carlo  . . . . . . . . . . . . . . 23--38
                    M. Bock and   
               A. W. Bowman and   
                      B. Ismail   Estimation and inference for error
                                  variance in bivariate nonparametric
                                  regression . . . . . . . . . . . . . . . 39--47
                Youngjo Lee and   
             John A. Nelder and   
                  Maengseok Noh   H-likelihood: problems and solutions . . 49--55
              Sinjini Mitra and   
            Nicole A. Lazar and   
                      Yanxi Liu   Understanding the role of facial
                                  asymmetry in human face identification   57--70
           Adelchi Azzalini and   
                 Nicola Torelli   Clustering via nonparametric density
                                  estimation . . . . . . . . . . . . . . . 71--80
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??

Statistics and Computing
Volume 17, Number 2, June, 2007

               Tsung I. Lin and   
                Jack C. Lee and   
                   Wan J. Hsieh   Robust mixture modeling using the skew
                                  $t$ distribution . . . . . . . . . . . . 81--92
           Loukia Meligkotsidou   Bayesian multivariate Poisson mixtures
                                  with an unknown number of components . . 93--107
              Radu V. Craiu and   
             Christiane Lemieux   Acceleration of the Multiple-Try
                                  Metropolis algorithm using antithetic
                                  and stratified sampling  . . . . . . . . 109--120
              Marc Lavielle and   
                  Cristian Meza   A parameter expansion version of the
                                  SAEM algorithm . . . . . . . . . . . . . 121--130
            David S. Leslie and   
                Robert Kohn and   
                  David J. Nott   A general approach to heteroscedastic
                                  linear regression  . . . . . . . . . . . 131--146
            Agostino Nobile and   
          Alastair T. Fearnside   Bayesian finite mixtures with an unknown
                                  number of components: The allocation
                                  sampler  . . . . . . . . . . . . . . . . 147--162
                 Hongtu Zhu and   
                 Minggao Gu and   
               Bradley Peterson   Maximum likelihood from spatial random
                                  effects models via the stochastic
                                  approximation expectation maximization
                                  algorithm  . . . . . . . . . . . . . . . 163--177
                 B. Ganguli and   
                     M. P. Wand   Feature significance in generalized
                                  additive models  . . . . . . . . . . . . 179--192
       Sourabh Bhattacharya and   
            Alan E. Gelfand and   
              Kent E. Holsinger   Model fitting and inference under latent
                                  equilibrium processes  . . . . . . . . . 193--208
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Statistics and Computing
Volume 17, Number 3, September, 2007

          Allou Samé and   
        Christophe Ambroise and   
          Gérard Govaert   An online classification EM algorithm
                                  based on the mixture model . . . . . . . 209--218
                Martin Neil and   
              Manesh Tailor and   
                  David Marquez   Inference in hybrid Bayesian networks
                                  using dynamic discretization . . . . . . 219--233
               Jouni Kerman and   
                  Andrew Gelman   Manipulating and summarizing posterior
                                  simulations using random variable
                                  objects  . . . . . . . . . . . . . . . . 235--244
         Richard J. Stevens and   
             Trevor J. Sweeting   Estimation across multiple models with
                                  application to Bayesian computing and
                                  software development . . . . . . . . . . 245--252
              Woncheol Jang and   
                  Martin Hendry   Cluster analysis of massive datasets in
                                  astronomy  . . . . . . . . . . . . . . . 253--262
                 Ajay Jasra and   
          David A. Stephens and   
          Christopher C. Holmes   On population-based simulation for
                                  static inference . . . . . . . . . . . . 263--279
       Alicja Jokiel-Rokita and   
                Ryszard Magiera   Minimax estimation of a probability of
                                  success under LINEX loss . . . . . . . . 281--291
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??

Statistics and Computing
Volume 17, Number 4, December, 2007

                 Ir\`ene Gannaz   Robust estimation and wavelet
                                  thresholding in partially linear models  293--310
         James P. McDermott and   
             G. Jogesh Babu and   
            John C. Liechty and   
               Dennis K. J. Lin   Data skeletons: simultaneous estimation
                                  of multiple quantiles for massive
                                  streaming datasets with applications to
                                  density estimation . . . . . . . . . . . 311--321
                    Jun Yan and   
        Mary Kathryn Cowles and   
               Shaowen Wang and   
              Marc P. Armstrong   Parallelizing MCMC for Bayesian
                                  spatiotemporal geostatistical models . . 323--335
                 Leena Choi and   
                Brian Caffo and   
                  Charles Rohde   Optimal sampling times in bioequivalence
                                  studies using a simulated annealing
                                  algorithm  . . . . . . . . . . . . . . . 337--347
                A. Delaigle and   
                     I. Gijbels   Frequent problems in calculating
                                  integrals and optimizing objective
                                  functions: a case study in density
                                  deconvolution  . . . . . . . . . . . . . 349--355
               S. A. Sisson and   
                         Y. Fan   A distance-based diagnostic for
                                  trans-dimensional Markov chains  . . . . 357--367
        Òivind Skare and   
       Jesper Mòller and   
            Eva B. Vedel Jensen   Bayesian analysis of spatial point
                                  processes in the neighbourhood of
                                  Voronoi networks . . . . . . . . . . . . 369--379
           John S. Preisser and   
                    Jamie Perin   Deletion diagnostics for marginal mean
                                  and correlation model parameters in
                                  estimating equations . . . . . . . . . . 381--393
             Ulrike von Luxburg   A tutorial on spectral clustering  . . . 395--416
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??


Statistics and Computing
Volume 18, Number 1, March, 2008

Sylvia Frühwirth-Schnatter and   
            Regina Tüchler   Bayesian parsimonious covariance
                                  estimation for hierarchical linear mixed
                                  models . . . . . . . . . . . . . . . . . 1--13
            Juliana Gambini and   
            Marta E. Mejail and   
       Julio Jacobo-Berlles and   
             Alejandro C. Frery   Accuracy of edge detection methods with
                                  local information in speckled imagery    15--26
            Dimitris Karlis and   
         Panagiotis Tsiamyrtzis   Exact Bayesian modeling for bivariate
                                  Poisson data and extensions  . . . . . . 27--40
              Pierre Hansen and   
             Nenad Mladenovi\'c   Complement to a comparative analysis of
                                  heuristics for the $p$-median problem    41--46
           Adam M. Johansen and   
              Arnaud Doucet and   
                    Manuel Davy   Particle methods for maximum likelihood
                                  estimation in latent variable models . . 47--57
              Pierre Pinson and   
         Henrik Aa. Nielsen and   
              Henrik Madsen and   
              Torben S. Nielsen   Local linear regression with adaptive
                                  orthogonal fitting for the wind power
                                  application  . . . . . . . . . . . . . . 59--71
              Peter K. Dunn and   
                Gordon K. Smyth   Evaluation of Tweedie exponential
                                  dispersion model densities by Fourier
                                  inversion  . . . . . . . . . . . . . . . 73--86
              Harald Binder and   
                   Gerhard Tutz   A comparison of methods for the fitting
                                  of generalized additive models . . . . . 87--99
                   Zheng Su and   
                 Jiaqiao Hu and   
                        Wei Zhu   Multi-step variance minimization in
                                  sequential tests . . . . . . . . . . . . 101--108
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??

Statistics and Computing
Volume 18, Number 2, June, 2008

                 J.-H. Zhao and   
            Philip L. H. Yu and   
                    Qibao Jiang   ML estimation for factor analysis: EM or
                                  non-EM?  . . . . . . . . . . . . . . . . 109--123
                 R. J. Boys and   
            D. J. Wilkinson and   
              T. B. L. Kirkwood   Bayesian inference for a discretely
                                  observed stochastic kinetic model  . . . 125--135
               Marco Alf\`o and   
             Luciano Nieddu and   
               Donatella Vicari   A finite mixture model for image
                                  segmentation . . . . . . . . . . . . . . 137--150
                 Paul Fearnhead   Computational methods for complex
                                  stochastic systems: a review of some
                                  alternatives to MCMC . . . . . . . . . . 151--171
               J.-J. Daudin and   
                  F. Picard and   
                       S. Robin   A mixture model for random graphs  . . . 173--183
        Christian H. Weiß   Statistical mining of interesting
                                  association rules  . . . . . . . . . . . 185--194
            Willi Sauerbrei and   
     Norbert Holländer and   
                 Anika Buchholz   Investigation about a screening step in
                                  model selection  . . . . . . . . . . . . 195--208
         C. J. Pérez and   
           J. Martín and   
                  C. Rojano and   
             F. J. Girón   Efficient generation of random vectors
                                  by using the ratio-of-uniforms method
                                  with ellipsoidal envelopes . . . . . . . 209--217
                 P. Besbeas and   
                B. J. T. Morgan   Improved estimation of the stable laws   219--231
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??

Statistics and Computing
Volume 18, Number 3, September, 2008

                     Yungtai Lo   A likelihood ratio test of a
                                  homoscedastic normal mixture against a
                                  heteroscedastic normal mixture . . . . . 233--240
          Gerhard Koekemoer and   
            Jan W. H. Swanepoel   A semi-parametric method for
                                  transforming data to normality . . . . . 241--257
              David Bremner and   
                   Dan Chen and   
                John Iacono and   
           Stefan Langerman and   
                      Pat Morin   Output-sensitive algorithms for Tukey
                                  depth and related problems . . . . . . . 259--266
                  J. Q. Shi and   
                        B. Wang   Curve prediction and clustering with
                                  mixtures of Gaussian process functional
                                  regression models  . . . . . . . . . . . 267--283
      Paul David McNicholas and   
          Thomas Brendan Murphy   Parsimonious Gaussian mixture models . . 285--296
W. González-Manteiga and   
M. D. Martínez-Miranda and   
                R. Raya-Miranda   SiZer Map for inference with additive
                                  models . . . . . . . . . . . . . . . . . 297--312
     Ralph dos Santos Silva and   
         Hedibert Freitas Lopes   Copula, marginal distributions and model
                                  selection: a Bayesian note . . . . . . . 313--320
                 Riccardo Gatto   Some computational aspects of the
                                  generalized von Mises distribution . . . 321--331
                Ali Baharev and   
    Sándor Kemény   On the computation of the noncentral $F$
                                  and noncentral beta distribution . . . . 333--340
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Statistics and Computing
Volume 18, Number 4, December, 2008

                 Paul Fearnhead   Editorial: Special issue on adaptive
                                  Monte Carlo methods  . . . . . . . . . . 341--342
         Christophe Andrieu and   
                 Johannes Thoms   A tutorial on adaptive MCMC  . . . . . . 343--373
                   Yuan Ren and   
                    Yu Ding and   
                   Faming Liang   Adaptive evolutionary Monte Carlo
                                  algorithm for optimization with
                                  applications to sensor placement
                                  problems . . . . . . . . . . . . . . . . 375--390
            Richard Gerlach and   
               Cathy W. S. Chen   Bayesian inference and model comparison
                                  for asymmetric smooth transition
                                  heteroskedastic models . . . . . . . . . 391--408
          Jonathan M. Keith and   
             Dirk P. Kroese and   
             George Y. Sofronov   Adaptive independence samplers . . . . . 409--420
                     Bo Cai and   
               Renate Meyer and   
         François Perron   Metropolis--Hastings algorithms with
                                  adaptive proposals . . . . . . . . . . . 421--433
       Cajo J. F. ter Braak and   
                Jasper A. Vrugt   Differential Evolution Markov Chain with
                                  snooker updater and fewer chains . . . . 435--446
       Olivier Cappé and   
                Randal Douc and   
             Arnaud Guillin and   
          Jean-Michel Marin and   
            Christian P. Robert   Adaptive importance sampling in general
                                  mixture classes  . . . . . . . . . . . . 447--459
           Julien Cornebise and   
       Éric Moulines and   
                   Jimmy Olsson   Adaptive methods for sequential
                                  importance sampling with application to
                                  state space models . . . . . . . . . . . 461--480
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??


Statistics and Computing
Volume 19, Number 1, March, 2009

           Marina I. Knight and   
                   Guy P. Nason   A `nondecimated' lifting transform . . . 1--16
               Debasish Roy and   
             Geoff Nicholls and   
                      Colin Fox   Imaging convex quadrilateral inclusions
                                  in uniform conductors from electrical
                                  boundary measurements  . . . . . . . . . 17--26
                Hee-Seok Oh and   
                Donghoh Kim and   
                    Yongdai Kim   Robust wavelet shrinkage using robust
                                  selection of thresholds  . . . . . . . . 27--34
                A. Berlinet and   
                      C. Roland   Parabolic acceleration of the EM
                                  algorithm  . . . . . . . . . . . . . . . 35--47
                  C. A. Glasbey   Two-dimensional generalisations of
                                  dynamic programming for image analysis   49--56
                   T. J. Heaton   Adaptive thresholding of sequences with
                                  locally variable strength  . . . . . . . 57--71
            Dimitris Karlis and   
               Anais Santourian   Model-based clustering with
                                  non-elliptically contoured distributions 73--83
    Caroline Bernard-Michel and   
             Laurent Gardes and   
         Stéphane Girard   Gaussian Regularized Sliced Inverse
                                  Regression . . . . . . . . . . . . . . . 85--98
         Luke Akong'o Orawo and   
      J. Andrés Christen   Bayesian sequential analysis for
                                  multiple-arm clinical trials . . . . . . 99--109
                 Nicolas Chopin   Book Review: Jim Albert:
                                  \booktitleBayesian computation with R    111--112
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Statistics and Computing
Volume 19, Number 2, June, 2009

            Reinhard Furrer and   
                Stephan R. Sain   Spatial model fitting for large datasets
                                  with applications to climate and
                                  microarray problems  . . . . . . . . . . 113--128
           Djalil Chafa\"\i and   
               Didier Concordet   A new method for the estimation of
                                  variance matrix with prescribed zeros in
                                  nonlinear mixed effects models . . . . . 129--138
                  Hsiuying Wang   Exact average coverage probabilities and
                                  confidence coefficients of confidence
                                  intervals for discrete distributions . . 139--148
              Henghsiu Tsai and   
                  Kung-Sik Chan   A note on the non-negativity of
                                  continuous-time ARMA and GARCH processes 149--153
                E. Di Nardo and   
                 G. Guarino and   
                      D. Senato   A new method for fast computing unbiased
                                  estimators of cumulants  . . . . . . . . 155--165
                    A. Kume and   
                   S. G. Walker   On the Fisher--Bingham distribution  . . 167--172
   Joseph Ryan G. Lansangan and   
              Erniel B. Barrios   Principal components analysis of
                                  nonstationary time series data . . . . . 173--187
               D. Allingham and   
              R. A. R. King and   
                K. L. Mengersen   Bayesian estimation of quantile
                                  distributions  . . . . . . . . . . . . . 189--201
                    S. Saha and   
               P. K. Mandal and   
                   Y. Boers and   
                H. Driessen and   
                      A. Bagchi   Gaussian proposal density using moment
                                  matching in SMC methods  . . . . . . . . 203--208
Rosa Arboretti Giancristofaro and   
            Stefano Bonnini and   
              Fortunato Pesarin   A permutation approach for testing
                                  heterogeneity in two-sample categorical
                                  variables  . . . . . . . . . . . . . . . 209--216
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Statistics and Computing
Volume 19, Number 3, September, 2009

         Martin L. Hazelton and   
              Berwin A. Turlach   Nonparametric density deconvolution by
                                  weighted kernel estimators . . . . . . . 217--228
              Ian L. Dryden and   
                     Li Bai and   
    Christopher J. Brignell and   
                    Linlin Shen   Factored principal components analysis,
                                  with applications to face recognition    229--238
               Gerhard Tutz and   
                   Jan Ulbricht   Penalized regression with
                                  correlation-based penalty  . . . . . . . 239--253
             Pedro Delicado and   
                Marcelo Smrekar   Measuring non-linear dependence for two
                                  random variables distributed along a
                                  curve  . . . . . . . . . . . . . . . . . 255--269
                 Colin Chen and   
                      Keming Yu   Automatic Bayesian quantile regression
                                  curve fitting  . . . . . . . . . . . . . 271--281
          Florent Chatelain and   
     Sophie Lambert-Lacroix and   
            Jean-Yves Tourneret   Pairwise likelihood estimation for
                                  multivariate mixed Poisson models
                                  generated by Gamma intensities . . . . . 283--301
            Helen Armstrong and   
      Christopher K. Carter and   
        Kin Foon Kevin Wong and   
                    Robert Kohn   Bayesian covariance matrix estimation
                                  using a mixture of decomposable
                                  graphical models . . . . . . . . . . . . 303--316
             Chun-Xia Zhang and   
                Jiang-She Zhang   A novel method for constructing ensemble
                                  classifiers  . . . . . . . . . . . . . . 317--327
              C. A. McGrory and   
         D. M. Titterington and   
                  R. Reeves and   
                  A. N. Pettitt   Variational Bayes for estimating the
                                  parameters of a hidden Potts model . . . 329--340
             Andrea Cerioli and   
                Marco Riani and   
            Anthony C. Atkinson   Controlling the size of multivariate
                                  outlier tests with the MCD estimator of
                                  scatter  . . . . . . . . . . . . . . . . 341--353
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Statistics and Computing
Volume 19, Number 4, December, 2009

                      Ying Yang   Penalized semiparametric density
                                  estimation . . . . . . . . . . . . . . . 355--366
    Juan A. Cuesta-Albertos and   
             Antonio Cuevas and   
                Ricardo Fraiman   On projection-based tests for
                                  directional and compositional data . . . 367--380
         Antonello Maruotti and   
            Tobias Rydén   A semiparametric approach to hidden
                                  Markov models under longitudinal
                                  observations . . . . . . . . . . . . . . 381--393
              David J. Lunn and   
                 Nicky Best and   
              John C. Whittaker   Generic reversible jump MCMC using
                                  graphical models . . . . . . . . . . . . 395--408
                     Y. Fan and   
               G. W. Peters and   
                   S. A. Sisson   Automating and evaluating reversible
                                  jump MCMC proposal distributions . . . . 409--421
               Eric Renshaw and   
                   Carlos Comas   Space-time generation of high intensity
                                  patterns using growth-interaction
                                  processes  . . . . . . . . . . . . . . . 423--437
                   M. S. Ridout   Generating random numbers from a
                                  distribution specified by its Laplace
                                  transform  . . . . . . . . . . . . . . . 439--450
                  Cinzia Viroli   Bayesian inference in non-Gaussian
                                  factor analysis  . . . . . . . . . . . . 451--463
Frédéric J. P. Richard and   
       Adeline M. M. Samson and   
       Charles A. Cuénod   A SAEM algorithm for the estimation of
                                  template and deformation parameters in
                                  medical image sequences  . . . . . . . . 465--478
Sylvia Frühwirth-Schnatter and   
      Rudolf Frühwirth and   
              Leonhard Held and   
               Håvard Rue   Improved auxiliary mixture sampling for
                                  hierarchical models of non-Gaussian data 479--492
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??


Statistics and Computing
Volume 20, Number 1, January, 2010

             Robert Gramacy and   
           Richard Samworth and   
                      Ruth King   Importance tempering . . . . . . . . . . 1--7
                F. Greselin and   
                   S. Ingrassia   Constrained monotone EM algorithms for
                                  mixtures of multivariate $t$
                                  distributions  . . . . . . . . . . . . . 9--22
           Giovanna Capizzi and   
                Guido Masarotto   Evaluation of the run-length
                                  distribution for a combined
                                  Shewhart--EWMA control chart . . . . . . 23--33
         Arthur Charpentier and   
                   Abder Oulidi   Beta kernel quantile estimators of
                                  heavy-tailed loss distributions  . . . . 35--55
                 Nicolas Wicker   Perfect sampling algorithm for small $ m
                                  \times n $ contingency tables  . . . . . 57--61
         Michael G. B. Blum and   
        Olivier François   Non-linear regression models for
                                  Approximate Bayesian Computation . . . . 63--73
                      Yong Wang   Maximum likelihood computation for
                                  fitting semiparametric mixture models    75--86
               Man-Lai Tang and   
                    Maozai Tian   Approximate confidence interval
                                  construction for risk difference under
                                  inverse sampling . . . . . . . . . . . . 87--98
            Frank Critchley and   
        Michaël Schyns and   
        Gentiane Haesbroeck and   
   Cécile Fauconnier and   
                 Guobing Lu and   
        Richard A. Atkinson and   
                 Dong Qian Wang   A relaxed approach to combinatorial
                                  problems in robustness and diagnostics   99--115
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??

Statistics and Computing
Volume 20, Number 2, April, 2010

                   Gerhard Tutz   Guest Editorial: Regularisation Methods
                                  in Regression and Classification . . . . 117--118
        Peter Bühlmann and   
                Torsten Hothorn   Twin Boosting: improved feature
                                  selection and prediction . . . . . . . . 119--138
            Matthias Schmid and   
             Sergej Potapov and   
          Annette Pfahlberg and   
                Torsten Hothorn   Estimation and regularization techniques
                                  for regression models with
                                  multidimensional prediction functions    139--150
        Christine Porzelius and   
          Martin Schumacher and   
                  Harald Binder   Sparse regression techniques in
                                  low-dimensional survival data settings   151--163
                 Jinfeng Xu and   
               Chenlei Leng and   
                  Zhiliang Ying   Rank-based variable selection with
                                  censored data  . . . . . . . . . . . . . 165--176
               Rudolf Beran and   
              Lutz Dümbgen   Least squares and shrinkage estimation
                                  under bimonotonicity constraints . . . . 177--189
              Brian D. Marx and   
          Paul H. C. Eilers and   
                Jutta Gampe and   
                     Roland Rau   Bilinear modulation models for seasonal
                                  tables of counts . . . . . . . . . . . . 191--202
            Ludwig Fahrmeir and   
               Thomas Kneib and   
                Susanne Konrath   Bayesian regularisation in structured
                                  additive regression: a unifying
                                  perspective on shrinkage, smoothing and
                                  predictor selection  . . . . . . . . . . 203--219
                     Chris Hans   Model uncertainty and variable selection
                                  in Bayesian lasso regression . . . . . . 221--229
        Guillaume Obozinski and   
                 Ben Taskar and   
              Michael I. Jordan   Joint covariate selection and joint
                                  subspace selection for multiple
                                  classification problems  . . . . . . . . 231--252
                 Mohamed Hebiri   Sparse conformal predictors  . . . . . . 253--266
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??

Statistics and Computing
Volume 20, Number 3, July, 2010

        Evgenia Rubinshtein and   
                Anuj Srivastava   Optimal linear projections for enhancing
                                  desired data statistics  . . . . . . . . 267--282
              M. Bevilacqua and   
                   J. Mateu and   
                   E. Porcu and   
                   H. Zhang and   
                        A. Zini   Weighted composite likelihood-based
                                  tests for space-time separability of
                                  covariance functions . . . . . . . . . . 283--293
                Youngjo Lee and   
                       Il Do Ha   Orthodox BLUP versus $h$-likelihood
                                  methods for inferences about random
                                  effects in Tweedie mixed models  . . . . 295--303
        Mari Myllymäki and   
                Antti Penttinen   Bayesian inference for Gaussian
                                  excursion set generated Cox processes
                                  with set-marking . . . . . . . . . . . . 305--315
               Simon Rogers and   
              Mark Girolami and   
                Tamara Polajnar   Semi-parametric analysis of multi-rater
                                  data . . . . . . . . . . . . . . . . . . 317--334
         Merrill W. Liechty and   
                Matthew Tibbits   Multivariate sufficient statistics using
                                  Kronecker products . . . . . . . . . . . 335--341
                    Tsung-I Lin   Robust mixture modeling using
                                  multivariate skew $t$ distributions  . . 343--356
                 M. Sperrin and   
                    T. Jaki and   
                         E. Wit   Probabilistic relabelling strategies for
                                  the label switching problem in Bayesian
                                  mixture models . . . . . . . . . . . . . 357--366
Javier Roca-Pardiñas and   
                Stefan Sperlich   Feasible estimation in generalized
                                  structured models  . . . . . . . . . . . 367--379
              Eun-Kyung Lee and   
                    Dianne Cook   A projection pursuit index for large $p$
                                  small $n$ data . . . . . . . . . . . . . 381--392
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??

Statistics and Computing
Volume 20, Number 4, October, 2010

               Marco Sandri and   
               Paola Zuccolotto   Analysis and correction of bias in Total
                                  Decrease in Node Impurity measures for
                                  tree-based algorithms  . . . . . . . . . 393--407
            Gavino Puggioni and   
                Alan E. Gelfand   Analyzing space-time sensor network data
                                  under suppression and failure in
                                  transmission . . . . . . . . . . . . . . 409--419
          Francesco Audrino and   
              Dominik Colangelo   Semi-parametric forecasts of the implied
                                  volatility surface using regression
                                  trees  . . . . . . . . . . . . . . . . . 421--434
               Farhat Iqbal and   
              Kanchan Mukherjee   M-estimators of some GARCH-type models;
                                  computation and application  . . . . . . 435--445
              Kwang Woo Ahn and   
                  Kung-Sik Chan   Efficient Markov chain Monte Carlo with
                                  incomplete multinomial data  . . . . . . 447--456
               Friedrich Leisch   Neighborhood graphs, stripes and shadow
                                  plots for cluster visualization  . . . . 457--469
                   Luca Scrucca   Dimension reduction for model-based
                                  clustering . . . . . . . . . . . . . . . 471--484
              David J. Nott and   
                    Li Jialiang   A sign based loss approach to model
                                  selection in nonparametric regression    485--498
                 I. Gijbels and   
                  A. Verhasselt   P-splines regression smoothing and
                                  difference type of penalty . . . . . . . 499--511
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??


Statistics and Computing
Volume 21, Number 1, January, 2011

        Christian H. Weiß   Rule generation for categorical time
                                  series with Markov assumptions . . . . . 1--16
           Ivan Kojadinovic and   
                        Jun Yan   A goodness-of-fit test for multivariate
                                  multiparameter copulas based on
                                  multiplier central limit theorems  . . . 17--30
        Frederico Z. Poleto and   
            Julio M. Singer and   
          Carlos Daniel Paulino   Missing data mechanisms and their
                                  implications on the analysis of
                                  categorical data . . . . . . . . . . . . 31--43
                Dario Basso and   
                  Luigi Salmaso   A permutation test for umbrella
                                  alternatives . . . . . . . . . . . . . . 45--54
                Anne Krampe and   
               Maria Kateri and   
                    Sonja Kuhnt   Asymmetry models for square contingency
                                  tables: exact tests via algebraic
                                  statistics . . . . . . . . . . . . . . . 55--67
                John W. Lau and   
                  Mike K. P. So   A Monte Carlo Markov chain algorithm for
                                  a class of mixture time series models    69--81
             Jin-Chuan Duan and   
                   Andras Fulop   A stable estimator of the information
                                  matrix under EM for dependent data . . . 83--91
                Maria Kalli and   
             Jim E. Griffin and   
              Stephen G. Walker   Slice sampling mixture models  . . . . . 93--105
              Edith Gabriel and   
               Denis Allard and   
           Jean-Noël Bacro   Estimating and testing zones of abrupt
                                  change for spatial data  . . . . . . . . 107--120
                J.-F. Dupuy and   
               J.-M. Loubes and   
                        E. Maza   Non parametric estimation of the
                                  structural expectation of a stochastic
                                  increasing function  . . . . . . . . . . 121--136
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Statistics and Computing
Volume 21, Number 2, April, 2011

              Tadayoshi Fushiki   Estimation of prediction error by using
                                  $K$-fold cross-validation  . . . . . . . 137--146
           Ronald W. Butler and   
                Robert L. Paige   Exact distributional computations for
                                  Roy's statistic and the largest
                                  eigenvalue of a Wishart distribution . . 147--157
       Göran Kauermann and   
                Michael Wegener   Functional variance estimation using
                                  penalized splines with principal
                                  component analysis . . . . . . . . . . . 159--171
             Ruggero Bellio and   
         Alessandra R. Brazzale   Restricted likelihood inference for
                                  generalized linear mixed models  . . . . 173--183
               Marco Alf\`o and   
         Antonello Maruotti and   
               Giovanni Trovato   A finite mixture model for multivariate
                                  counts under endogenous selectivity  . . 185--202
           Katarina Domijan and   
                Simon P. Wilson   Bayesian kernel projections for
                                  classification of high dimensional data  203--216
             Paul Fearnhead and   
                       Zhen Liu   Efficient Bayesian analysis of multiple
                                  changepoint models with dependence
                                  across segments  . . . . . . . . . . . . 217--229
                   Helga Wagner   Bayesian estimation and stochastic model
                                  specification search for dynamic
                                  survival models  . . . . . . . . . . . . 231--246
              Ray-Bing Chen and   
             Chi-Hsiang Chu and   
                 Te-You Lai and   
                   Ying Nian Wu   Stochastic matching pursuit for Bayesian
                                  variable selection . . . . . . . . . . . 247--259
                   Hua Zhou and   
            David Alexander and   
                  Kenneth Lange   A quasi-Newton acceleration for
                                  high-dimensional optimization algorithms 261--273
                 Nicolas Chopin   Fast simulation of truncated Gaussian
                                  distributions  . . . . . . . . . . . . . 275--288
            Christian P. Robert   Book Review: James E. Gentle:
                                  \booktitleComputational statistics
                                  (Statistics and Computing Series)  . . . 289--291
                   Denis Allard   Book Review: A. E. Gelfand, P. J.
                                  Diggle, M. Fuentes, P. Guttorp (eds.):
                                  \booktitleHandbook of spatial statistics 293--294
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??

Statistics and Computing
Volume 21, Number 3, July, 2011

               Giovanna Menardi   Density-based Silhouette diagnostics for
                                  clustering methods . . . . . . . . . . . 295--308
Daniel Sabanés Bové and   
                  Leonhard Held   Bayesian fractional polynomials  . . . . 309--324
               Li-Mei Zhang and   
                Li-Ping Zhu and   
                    Li-Xing Zhu   Sufficient dimension reduction in
                                  regressions through cumulative Hessian
                                  directions . . . . . . . . . . . . . . . 325--334
                 Ajay Jasra and   
          Christopher C. Holmes   Stochastic boosting algorithms . . . . . 335--347
             Charles J. Corrado   The exact distribution of the maximum,
                                  minimum and the range of
                                  Multinomial/Dirichlet and Multivariate
                                  Hypergeometric frequencies . . . . . . . 349--359
         Jeffrey L. Andrews and   
             Paul D. McNicholas   Extending mixtures of multivariate
                                  $t$-factor analyzers . . . . . . . . . . 361--373
                   Faming Liang   Annealing evolutionary stochastic
                                  approximation Monte Carlo for global
                                  optimization . . . . . . . . . . . . . . 375--393
           Cathy W. S. Chen and   
        Jennifer S. K. Chan and   
            Richard Gerlach and   
            William Y. L. Hsieh   A comparison of estimators for
                                  regression models with change points . . 395--414
         Matthew M. Tibbits and   
               Murali Haran and   
                John C. Liechty   Parallel multivariate slice sampling . . 415--430
                   N. Friel and   
                  A. N. Pettitt   Classification using distance nearest
                                  neighbours . . . . . . . . . . . . . . . 431--437
       Loukia Meligkotsidou and   
             Petros Dellaportas   Forecasting with non-homogeneous hidden
                                  Markov models  . . . . . . . . . . . . . 439--449
                  Samiran Ghosh   On the grouped selection and model
                                  complexity of the adaptive elastic net   451--462
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Statistics and Computing
Volume 21, Number 4, October, 2011

         Yves F. Atchadé   A computational framework for empirical
                                  Bayes inference  . . . . . . . . . . . . 463--473
                      Yaming Yu   $D$-optimal designs via a cocktail
                                  algorithm  . . . . . . . . . . . . . . . 475--481
María Xosé Rodríguez-Álvarez and   
Javier Roca-Pardiñas and   
   Carmen Cadarso-Suárez   ROC curve and covariates: extending
                                  induced methodology to the
                                  non-parametric framework . . . . . . . . 483--499
             Chun-Chao Wang and   
                  Yi-Ting Hwang   A new functional statistic for
                                  multivariate normality . . . . . . . . . 501--509
                  Cinzia Viroli   Finite mixtures of matrix normal
                                  distributions for classifying three-way
                                  data . . . . . . . . . . . . . . . . . . 511--522
         Gabriele Soffritti and   
            Giuliano Galimberti   Multivariate linear regression with
                                  non-normal errors: a solution based on
                                  mixture models . . . . . . . . . . . . . 523--536
             Julien Chiquet and   
            Yves Grandvalet and   
            Christophe Ambroise   Inferring multiple graphical structures  537--553
     Yves F. Atchadé and   
          Gareth O. Roberts and   
           Jeffrey S. Rosenthal   Towards optimal scaling of
                                  Metropolis-coupled Markov chain Monte
                                  Carlo  . . . . . . . . . . . . . . . . . 555--568
              Yi-Ting Hwang and   
               Shih-Kai Chu and   
                   Shyh-Tyan Ou   Evaluations of FDR-controlling
                                  procedures in multiple hypothesis
                                  testing  . . . . . . . . . . . . . . . . 569--583
L. A. García-Escudero and   
               A. Gordaliza and   
           C. Matrán and   
                  A. Mayo-Iscar   Exploring the number of groups in robust
                                  model-based clustering . . . . . . . . . 585--599
                     Jun Ma and   
  Sigurbjorg Gudlaugsdottir and   
                    Graham Wood   Generalized EM estimation for
                                  semi-parametric mixture distributions
                                  with discretized non-parametric
                                  component  . . . . . . . . . . . . . . . 601--612
              Sylvain Arlot and   
                  Alain Celisse   Segmentation of the mean of
                                  heteroscedastic data via
                                  cross-validation . . . . . . . . . . . . 613--632
               Luca Martino and   
   Joaquín Míguez   A generalization of the adaptive
                                  rejection sampling algorithm . . . . . . 633--647
          Brendon J. Brewer and   
     Livia B. Pártay and   
     Gábor Csányi   Diffusive nested sampling  . . . . . . . 649--656
           Gregory Gurevich and   
                  Albert Vexler   A two-sample empirical likelihood ratio
                                  test based on samples entropy  . . . . . 657--670
                 Haeran Cho and   
               Piotr Fryzlewicz   Multiscale interpretation of taut string
                                  estimation and its connection to
                                  Unbalanced Haar wavelets . . . . . . . . 671--681
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??


Statistics and Computing
Volume 22, Number 1, January, 2012

           Zdravko I. Botev and   
                 Dirk P. Kroese   Efficient Monte Carlo simulation via the
                                  generalized splitting method . . . . . . 1--16
              Chih-Kang Chu and   
            Jhao-Siang Siao and   
             Lih-Chung Wang and   
                Wen-Shuenn Deng   Estimation of 2D jump location curve and
                                  3D jump location surface in
                                  nonparametric regression . . . . . . . . 17--31
                 Kenneth Lo and   
               Raphael Gottardo   Flexible mixture modeling via the
                                  multivariate $t$ distribution with the
                                  Box--Cox transformation: an alternative
                                  to the skew-$t$ distribution . . . . . . 33--52
               Ian H. Dinwoodie   Sequential importance sampling of binary
                                  sequences  . . . . . . . . . . . . . . . 53--63
            Gundula Behrens and   
                 Nial Friel and   
                  Merrilee Hurn   Tuning tempered transitions  . . . . . . 65--78
      Georgios Papageorgiou and   
                     John Hinde   Multivariate generalized linear mixed
                                  models with semi-nonparametric and
                                  smooth nonparametric random effects
                                  densities  . . . . . . . . . . . . . . . 79--92
          Athanasios Kottas and   
          Gilbert W. Fellingham   Bayesian semiparametric modeling and
                                  inference with mixtures of symmetric
                                  distributions  . . . . . . . . . . . . . 93--106
        Jonathan J. Forster and   
              Roger C. Gill and   
            Antony M. Overstall   Reversible jump methods for generalised
                                  linear models and generalised linear
                                  mixed models . . . . . . . . . . . . . . 107--120
              Cristian Meza and   
              Felipe Osorio and   
             Rolando De la Cruz   Estimation in nonlinear mixed-effects
                                  models using heavy-tailed distributions  121--139
              Alessio Farcomeni   Quantile regression for longitudinal
                                  data based on latent Markov
                                  subject-specific parameters  . . . . . . 141--152
                 Martin Slawski   The structured elastic net for quantile
                                  regression and support vector
                                  classification . . . . . . . . . . . . . 153--168
           Gianfranco Piras and   
            Nancy Lozano-Gracia   Spatial $J$-test: some Monte Carlo
                                  evidence . . . . . . . . . . . . . . . . 169--183
                  Burton Wu and   
           Clare A. McGrory and   
             Anthony N. Pettitt   A new variational Bayesian algorithm
                                  with application to human mobility
                                  pattern modeling . . . . . . . . . . . . 185--203
              S. P. Preston and   
              Andrew T. A. Wood   Approximation of transition densities of
                                  stochastic differential equations by
                                  saddlepoint methods applied to
                                  small-time Ito--Taylor sample-path
                                  expansions . . . . . . . . . . . . . . . 205--217
       Nicolas Städler and   
            Peter Bühlmann   Missing values: sparse inverse
                                  covariance estimation and an extension
                                  to sparse regression . . . . . . . . . . 219--235
               Giles Hooker and   
                 Saharon Rosset   Prediction-based regularization using
                                  data augmented regression  . . . . . . . 237--249
                    Andrew Redd   A comment on the orthogonalization of
                                  B-spline basis functions and their
                                  derivatives  . . . . . . . . . . . . . . 251--257
  José R. Berrendero and   
             Antonio Cuevas and   
   Beatriz Pateiro-López   A multivariate uniformity test for the
                                  case of unknown support  . . . . . . . . 259--271
               Jianhui Ning and   
                Philip E. Cheng   A comparison study of nonparametric
                                  imputation methods . . . . . . . . . . . 273--285
                 Hsiu J. Ho and   
           Saumyadipta Pyne and   
                   Tsung I. Lin   Maximum likelihood inference for
                                  mixtures of skew Student-$t$-normal
                                  distributions through practical EM-type
                                  algorithms . . . . . . . . . . . . . . . 287--299
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??

Statistics and Computing
Volume 22, Number 2, March, 2012

                     Weixin Yao   Model based labeling for mixture models  337--347
   Guglielmo Maria Caporale and   
              Juncal Cunado and   
              Luis A. Gil-Alana   Deterministic versus stochastic seasonal
                                  fractional integration and structural
                                  breaks . . . . . . . . . . . . . . . . . 349--358
                D. Lamnisos and   
              J. E. Griffin and   
                 M. F. J. Steel   Cross-validation prior choice in
                                  Bayesian probit regression with many
                                  covariates . . . . . . . . . . . . . . . 359--373
               Ata Kabán   Non-parametric detection of meaningless
                                  distances in high dimensional data . . . 375--385
               T. J. Harris and   
                          W. Yu   Variance decompositions of nonlinear
                                  time series using stochastic simulation
                                  and sensitivity analysis . . . . . . . . 387--396
                  Jian Chen and   
           Jeffrey S. Rosenthal   Decrypting classical cipher text using
                                  Markov chain Monte Carlo . . . . . . . . 397--413
                 Jason Wyse and   
                     Nial Friel   Block clustering with collapsed latent
                                  block models . . . . . . . . . . . . . . 415--428
             David Campbell and   
              Russell J. Steele   Smooth functional tempering for
                                  nonlinear differential equation models   429--443
        Nickolay T. Trendafilov   DINDSCAL: direct INDSCAL . . . . . . . . 445--454
        Jean-Patrick Baudry and   
               Cathy Maugis and   
                Bertrand Michel   Slope heuristics: overview and
                                  implementation . . . . . . . . . . . . . 455--470
                 Kris Boudt and   
       Jonathan Cornelissen and   
               Christophe Croux   The Gaussian rank correlation estimator:
                                  robustness properties  . . . . . . . . . 471--483
           A. Lung-Yut-Fong and   
       C. Lévy-Leduc and   
                O. Cappé   Distributed detection/localization of
                                  change-points in high-dimensional
                                  network traffic data . . . . . . . . . . 485--496
              David J. Nott and   
             Minh-Ngoc Tran and   
                   Chenlei Leng   Variational approximation for
                                  heteroscedastic linear models and
                                  matching pursuit algorithms  . . . . . . 497--512
             Michael Amrein and   
            Hans R. Künsch   Rate estimation in partially observed
                                  Markov jump processes with measurement
                                  errors . . . . . . . . . . . . . . . . . 513--526
            Hirokazu Yanagihara   A non-iterative optimization method for
                                  smoothness in penalized spline
                                  regression . . . . . . . . . . . . . . . 527--544
               Gerhard Tutz and   
                Sebastian Petry   Nonparametric estimation of the link
                                  function including variable selection    545--561
        Achilleas Achilleos and   
                Aurore Delaigle   Local bandwidth selectors for
                                  deconvolution kernel density estimation  563--577
      François Caron and   
              Arnaud Doucet and   
               Raphael Gottardo   On-line changepoint detection and
                                  parameter estimation with application to
                                  genomic data . . . . . . . . . . . . . . 579--595
         Hossein Baghishani and   
           Håvard Rue and   
           Mohsen Mohammadzadeh   On a hybrid data cloning method and its
                                  application in generalized linear mixed
                                  models . . . . . . . . . . . . . . . . . 597--613
            Erik Lindström   A regularized bridge sampler for
                                  sparsely sampled diffusions  . . . . . . 615--623
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??

Statistics and Computing
Volume 22, Number 3, May, 2012

         Anestis Antoniadis and   
               Alberto Pasanisi   Modeling of computer experiments for
                                  uncertainty propagation and sensitivity
                                  analysis . . . . . . . . . . . . . . . . 677--679
               Luc Pronzato and   
          Werner G. Müller   Design of computer experiments: space
                                  filling and beyond . . . . . . . . . . . 681--701
               Yves Auffray and   
           Pierre Barbillon and   
              Jean-Michel Marin   Maximin design on non hypercube domains
                                  and kernel interpolation . . . . . . . . 703--712
          Robert B. Gramacy and   
              Herbert K. H. Lee   Cases for the nugget in modeling
                                  computer experiments . . . . . . . . . . 713--722
       Thomas Muehlenstaedt and   
           Olivier Roustant and   
            Laurent Carraro and   
                    Sonja Kuhnt   Data-driven Kriging models based on
                                  FANOVA-decomposition . . . . . . . . . . 723--738
              Valeria Sambucini   Confidence regions for the stationary
                                  point of a quadratic response surface
                                  based on the asymptotic distribution of
                                  its MLE  . . . . . . . . . . . . . . . . 739--751
                Serge Cohen and   
Sébastien Déjean and   
         Sébastien Gadat   Adaptive sequential design for
                                  regression on multi-resolution bases . . 753--772
                Julien Bect and   
          David Ginsbourger and   
                    Ling Li and   
             Victor Picheny and   
               Emmanuel Vazquez   Sequential design of computer
                                  experiments for the estimation of a
                                  probability of failure . . . . . . . . . 773--793
            F. Cérou and   
               P. Del Moral and   
                   T. Furon and   
                     A. Guyader   Sequential Monte Carlo for rare event
                                  estimation . . . . . . . . . . . . . . . 795--808
        Miguel Munoz Zuniga and   
           Josselin Garnier and   
              Emmanuel Remy and   
           Etienne de Rocquigny   Analysis of adaptive directional
                                  stratification for the controlled
                                  estimation of rare event probabilities   809--821
                 Astrid Jourdan   Global sensitivity analysis using
                                  complex linear models  . . . . . . . . . 823--831
            Amandine Marrel and   
             Bertrand Iooss and   
  Sébastien Da Veiga and   
                Mathieu Ribatet   Global sensitivity analysis of
                                  stochastic computer models with joint
                                  metamodels . . . . . . . . . . . . . . . 833--847
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??

Statistics and Computing
Volume 22, Number 4, July, 2012

         Petros Dellaportas and   
              Mohsen Pourahmadi   Cholesky-GARCH models with applications
                                  to finance . . . . . . . . . . . . . . . 849--855
                      Jiguo Cao   Estimating generalized semiparametric
                                  additive models using parameter
                                  cascading  . . . . . . . . . . . . . . . 857--865
              Joseph Sexton and   
                   Petter Laake   Boosted coefficient models . . . . . . . 867--876
           Marina I. Knight and   
           Matthew A. Nunes and   
                   Guy P. Nason   Spectral estimation for locally
                                  stationary time series with missing
                                  observations . . . . . . . . . . . . . . 877--895
             Nicolas Chopin and   
            Tony Leli\`evre and   
                 Gabriel Stoltz   Free energy methods for Bayesian
                                  inference: efficient exploration of
                                  univariate Gaussian mixture posteriors   897--916
                 G. Rigaill and   
               E. Lebarbier and   
                       S. Robin   Exact posterior distributions and model
                                  selection criteria for multiple
                                  change-point detection problems  . . . . 917--929
      Tomás Mrkvicka and   
          Samuel Soubeyrand and   
             Joël Chadoeuf   Goodness-of-fit test of the mark
                                  distribution in a point process with
                                  non-stationary marks . . . . . . . . . . 931--943
              Ulrich Paquet and   
             Blaise Thomson and   
                    Ole Winther   A hierarchical model for ordinal matrix
                                  factorization  . . . . . . . . . . . . . 945--957
                 Woojoo Lee and   
                    Youngjo Lee   Modifications of REML algorithm for
                                  HGLMs  . . . . . . . . . . . . . . . . . 959--966
         Simos G. Meintanis and   
                 Jochen Einbeck   Goodness-of-fit tests in semi-linear
                                  models . . . . . . . . . . . . . . . . . 967--979
             J. A. D. Aston and   
                 J. Y. Peng and   
                D. E. K. Martin   Implied distributions in multiple change
                                  point problems . . . . . . . . . . . . . 981--993
              Steven G. Gilmour   John Lawson: Design and analysis of
                                  experiments with SAS . . . . . . . . . . 995--996
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??

Statistics and Computing
Volume 22, Number 5, September, 2012

                   Matti Vihola   Robust adaptive Metropolis algorithm
                                  with coerced acceptance rate . . . . . . 997--1008
           Pierre Del Moral and   
              Arnaud Doucet and   
                     Ajay Jasra   An adaptive sequential Monte Carlo
                                  method for approximate Bayesian
                                  computation  . . . . . . . . . . . . . . 1009--1020
         Jeffrey L. Andrews and   
             Paul D. McNicholas   Model-based clustering, classification,
                                  and discriminant analysis via mixtures
                                  of multivariate $t$-distributions  . . . 1021--1029
          Joshua C. C. Chan and   
                 Dirk P. Kroese   Improved cross-entropy method for
                                  estimation . . . . . . . . . . . . . . . 1031--1040
           Tristan Marshall and   
                 Gareth Roberts   An adaptive approach to Langevin MCMC    1041--1057
                  Jiguo Cao and   
                   Jing Cai and   
                Liangliang Wang   Estimating curves and derivatives with
                                  parametric penalized spline smoothing    1059--1067
             Minh-Ngoc Tran and   
              David J. Nott and   
                   Chenlei Leng   The predictive Lasso . . . . . . . . . . 1069--1084
              Xin-Yuan Song and   
                    Zhao-Hua Lu   Semiparametric transformation models
                                  with Bayesian $P$-splines  . . . . . . . 1085--1098
        Gert van Valkenhoef and   
             Tommi Tervonen and   
              Bert de Brock and   
                   Hans Hillege   Algorithmic parameterization of mixed
                                  treatment comparisons  . . . . . . . . . 1099--1111
              Sophie Donnet and   
              Jean-Michel Marin   An empirical Bayes procedure for the
                                  selection of Gaussian graphical models   1113--1123
               Ping-Feng Xu and   
                Jianhua Guo and   
                   Man-Lai Tang   An improved Hara--Takamura procedure by
                                  sharing computations on junction tree in
                                  Gaussian graphical models  . . . . . . . 1125--1133
               Wai-Yin Poon and   
                   Hai-Bin Wang   Latent variable models with ordinal
                                  categorical covariates . . . . . . . . . 1135--1154
     Leonid (Aryeh) Kontorovich   Statistical estimation with bounded
                                  memory . . . . . . . . . . . . . . . . . 1155--1164
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??

Statistics and Computing
Volume 22, Number 6, November, 2012

                  Gilles Celeux   Approximate Bayesian computation methods 1165--1166
          Jean-Michel Marin and   
               Pierre Pudlo and   
        Christian P. Robert and   
                 Robin J. Ryder   Approximate Bayesian computational
                                  methods  . . . . . . . . . . . . . . . . 1167--1180
            Chris P. Barnes and   
              Sarah Filippi and   
       Michael P. H. Stumpf and   
                  Thomas Thorne   Considerate approaches to constructing
                                  summary statistics for ABC model
                                  selection  . . . . . . . . . . . . . . . 1181--1197
                    R. McVinish   Improving ABC for quantile distributions 1199--1207
               G. W. Peters and   
                     Y. Fan and   
                   S. A. Sisson   On sequential Monte Carlo, partial
                                  rejection control and approximate
                                  Bayesian computation . . . . . . . . . . 1209--1222
                 Ajay Jasra and   
         Sumeetpal S. Singh and   
            James S. Martin and   
                     Emma McCoy   Filtering via approximate Bayesian
                                  computation  . . . . . . . . . . . . . . 1223--1237
                     Peter Neal   Efficient likelihood-free Bayesian
                                  Computation for household epidemics  . . 1239--1256
                 Andrea Rau and   
  Florence Jaffrézic and   
         Jean-Louis Foulley and   
                   R. W. Doerge   Reverse engineering gene regulatory
                                  networks using approximate Bayesian
                                  computation  . . . . . . . . . . . . . . 1257--1271
              David J. Nott and   
              Lucy Marshall and   
                 Tran Minh Ngoc   The ensemble Kalman filter is an ABC
                                  algorithm  . . . . . . . . . . . . . . . 1273--1276
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??


Statistics and Computing
Volume 23, Number 1, January, 2013

             M. Kolossiatis and   
              J. E. Griffin and   
                 M. F. J. Steel   On Bayesian nonparametric modelling of
                                  two correlated distributions . . . . . . 1--15
           Mehdi Maadooliat and   
          Mohsen Pourahmadi and   
               Jianhua Z. Huang   Robust estimation of the correlation
                                  matrix of longitudinal data  . . . . . . 17--28
           Nathalie Peyrard and   
      Régis Sabbadin and   
              Daniel Spring and   
                Barry Brook and   
                 Ralph MacNally   Model-based adaptive spatial sampling
                                  for occurrence map construction  . . . . 29--42
               Raquel Prado and   
              Hedibert F. Lopes   Sequential parameter learning and
                                  filtering in structured autoregressive
                                  state-space models . . . . . . . . . . . 43--57
             Jukka Corander and   
                Yaqiong Cui and   
                 Timo Koski and   
             Jukka Sirén   Have I seen you before? Principles of
                                  Bayesian predictive classification
                                  revisited  . . . . . . . . . . . . . . . 59--73
               Philippe Lambert   Nonparametric additive location-scale
                                  models for interval censored data  . . . 75--90
Joaquín Míguez and   
                 Dan Crisan and   
              Petar M. Djuri\'c   On the convergence of two sequential
                                  Monte Carlo methods for maximum a
                                  posteriori sequence estimation and
                                  stochastic global optimization . . . . . 91--107
               Joris Mulder and   
                  Jean-Paul Fox   Bayesian tests on components of the
                                  compound symmetry covariance matrix  . . 109--122
             Jim E. Griffin and   
              Stephen G. Walker   On adaptive Metropolis--Hastings methods 123--134
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??

Statistics and Computing
Volume 23, Number 2, March, 2013

             Fabian Sobotka and   
       Göran Kauermann and   
      Linda Schulze Waltrup and   
                   Thomas Kneib   On confidence intervals for
                                  semiparametric expectile regression  . . 135--148
                Ping-Hung Hsieh   A nonparametric assessment of model
                                  adequacy based on Kullback--Leibler
                                  divergence . . . . . . . . . . . . . . . 149--162
     Christian Schäfer and   
                 Nicolas Chopin   Sequential Monte Carlo on large binary
                                  sampling spaces  . . . . . . . . . . . . 163--184
            Roberto Casarin and   
                 Radu Craiu and   
                Fabrizio Leisen   Interacting multiple try algorithms with
                                  different proposal distributions . . . . 185--200
                  Jin-Hong Park   Multiple-index approach to multiple
                                  autoregressive time series model . . . . 201--208
    Nickolay T. Trendafilov and   
              Steffen Unkel and   
              Wojtek Krzanowski   Exploratory factor and principal
                                  component analyses: some new aspects . . 209--220
                 Baisuo Jin and   
               Xiaoping Shi and   
                      Yuehua Wu   A novel and fast methodology for
                                  simultaneous multiple structural break
                                  estimation and variable selection for
                                  nonstationary time series models . . . . 221--231
             Chew-Seng Chee and   
                      Yong Wang   Estimation of finite mixtures with
                                  symmetric components . . . . . . . . . . 233--249
              Carsten Botts and   
      Wolfgang Hörmann and   
                  Josef Leydold   Transformed density rejection with
                                  inflection points  . . . . . . . . . . . 251--260
            Siddhartha Chib and   
               Edward Greenberg   On conditional variance estimation in
                                  nonparametric regression . . . . . . . . 261--270
           Zdravko I. Botev and   
            Pierre L'Ecuyer and   
                   Bruno Tuffin   Markov chain importance sampling with
                                  applications to rare event probability
                                  estimation . . . . . . . . . . . . . . . 271--285
               Peter Milner and   
         Colin S. Gillespie and   
            Darren J. Wilkinson   Moment closure based parameter inference
                                  of stochastic kinetic models . . . . . . 287--295
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??

Statistics and Computing
Volume 23, Number 3, May, 2013

                 A. Bar-Hen and   
                J. Chadoeuf and   
                 H. Dessard and   
                   P. Monestiez   Estimating second order characteristics
                                  of point processes with known
                                  independent noise  . . . . . . . . . . . 297--309
                Joyee Ghosh and   
               Jerome P. Reiter   Secure Bayesian model averaging for
                                  horizontally partitioned data  . . . . . 311--322
         Me\"\ili Baragatti and   
            Agn\`es Grimaud and   
                 Denys Pommeret   Parallel tempering with equi-energy
                                  moves  . . . . . . . . . . . . . . . . . 323--339
              Simon N. Wood and   
             Fabian Scheipl and   
              Julian J. Faraway   Straightforward intermediate rank tensor
                                  product smoothing in mixed models  . . . 341--360
            Anastasia Lykou and   
              Ioannis Ntzoufras   On Bayesian lasso variable selection and
                                  the specification of the shrinkage
                                  parameter  . . . . . . . . . . . . . . . 361--390
               Douglas P. Wiens   Designs for weighted least squares
                                  regression, with estimated weights . . . 391--401
              Cristian Gatu and   
    Erricos John Kontoghiorghes   A fast algorithm for non-negativity
                                  model selection  . . . . . . . . . . . . 403--411
               Estelle Kuhn and   
               Charles El-Nouty   On a convergent stochastic estimation
                                  algorithm for frailty models . . . . . . 413--423
         Eduardo L. Montoya and   
                  Wendy Meiring   On the relative efficiency of a monotone
                                  parameter curve estimator in a
                                  functional nonlinear model . . . . . . . 425--436
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??

Statistics and Computing
Volume 23, Number 4, July, 2013

                    Yuao Hu and   
          Robert B. Gramacy and   
                      Heng Lian   Bayesian quantile regression for
                                  single-index models  . . . . . . . . . . 437--454
            Zhensheng Huang and   
                   Riquan Zhang   Profile empirical-likelihood inferences
                                  for the single-index-coefficient
                                  regression model . . . . . . . . . . . . 455--465
        Matthew Fitzpatrick and   
                 Dobrin Marchev   Efficient Bayesian estimation of the
                                  multivariate Double Chain Markov Model   467--480
                     Man-Suk Oh   Bayesian multiple comparison of models
                                  for binary data with inequality
                                  constraints  . . . . . . . . . . . . . . 481--490
               D. Fouskakis and   
                   I. Ntzoufras   Computation for intrinsic variable
                                  selection in normal regression models
                                  via expected-posterior prior . . . . . . 491--499
                Erlend Aune and   
                 Jo Eidsvik and   
                     Yvo Pokern   Iterative numerical methods for sampling
                                  from high dimensional Gaussian
                                  distributions  . . . . . . . . . . . . . 501--521
         Jean-Pierre Gauchi and   
               Jean-Pierre Vila   Nonparametric particle filtering
                                  approaches for identification and
                                  inference in nonlinear state-space
                                  dynamic systems  . . . . . . . . . . . . 523--533
         Me\"\ili Baragatti and   
            Agn\`es Grimaud and   
                 Denys Pommeret   Likelihood-free parallel tempering . . . 535--549
                Marco Riani and   
        Anthony C. Atkinson and   
               Giulio Fanti and   
                 Fabio Crosilla   Regression analysis with partially
                                  labelled regressors: carbon dating of
                                  the Shroud of Turin  . . . . . . . . . . 551--561
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??

Statistics and Computing
Volume 23, Number 5, September, 2013

               Wei-Ting Yao and   
                    Han-Ming Wu   Isometric sliced inverse regression for
                                  nonlinear manifold learning  . . . . . . 563--576
          George Iliopoulos and   
                 Sonia Malefaki   Variance reduction of estimators arising
                                  from Metropolis--Hastings algorithms . . 577--587
                 Liugen Xue and   
                      Zhen Pang   Statistical inference for a single-index
                                  varying-coefficient model  . . . . . . . 589--599
             Matthias Chung and   
                    Qi Long and   
               Brent A. Johnson   A tutorial on rank-based coefficient
                                  estimation for censored data in small-
                                  and large-scale problems . . . . . . . . 601--614
                      R. Lebrun   Efficient time/space algorithm to
                                  compute rectangular probabilities of
                                  multinomial, multivariate hypergeometric
                                  and multivariate Pólya distributions  . . 615--623
        Giuliano Galimberti and   
             Gabriele Soffritti   Using conditional independence for
                                  parsimonious model-based Gaussian
                                  clustering . . . . . . . . . . . . . . . 625--638
            Abouzar Bazyari and   
              Fortunato Pesarin   Parametric and permutation testing for
                                  multivariate monotonic alternatives  . . 639--652
            Antonietta Mira and   
                 Reza Solgi and   
               Daniele Imparato   Zero variance Markov chain Monte Carlo
                                  for Bayesian estimators  . . . . . . . . 653--662
              Ray-Bing Chen and   
               Dai-Ni Hsieh and   
                  Ying Hung and   
                  Weichung Wang   Optimizing Latin hypercube designs by
                                  particle swarm . . . . . . . . . . . . . 663--676
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??

Statistics and Computing
Volume 23, Number 6, November, 2013

          Steffen Liebscher and   
         Thomas Kirschstein and   
                 Claudia Becker   RDELA --- a
                                  Delaunay-triangulation-based, location
                                  and covariance estimator with high
                                  breakdown point  . . . . . . . . . . . . 677--688
                A. H. Welsh and   
               Douglas P. Wiens   Robust model-based sampling designs  . . 689--701
       Alicja Jokiel-Rokita and   
                   Michal Pulit   Nonparametric estimation of the ROC
                                  curve based on smoothed empirical
                                  distribution functions . . . . . . . . . 703--712
                  Yong Wang and   
              Stephen M. Taylor   Efficient computation of nonparametric
                                  survival functions via a hierarchical
                                  mixture formulation  . . . . . . . . . . 713--725
     Miguel González and   
  Cristina Gutiérrez and   
        Rodrigo Martínez   Parametric Bayesian inference for
                                  $Y$-linked two-sex branching models  . . 727--741
                   Yanwei Zhang   Likelihood-based and Bayesian methods
                                  for Tweedie compound Poisson linear
                                  mixed models . . . . . . . . . . . . . . 743--757
              Yohan Petetin and   
    François Desbouvries   Optimal SIR algorithm vs. fully adapted
                                  auxiliary particle filter: a non
                                  asymptotic analysis  . . . . . . . . . . 759--775
            P.-A. Cornillon and   
              N. Hengartner and   
                   N. Jegou and   
        E. Matzner-Lòber   Iterative bias reduction: a comparative
                                  study  . . . . . . . . . . . . . . . . . 777--791
           Yoshihiro Hirose and   
                Fumiyasu Komaki   Edge selection based on the geometry of
                                  dually flat spaces for Gaussian
                                  graphical models . . . . . . . . . . . . 793--800
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??


Statistics and Computing
Volume 24, Number 1, January, 2014

                 Ajay Jasra and   
             Nikolas Kantas and   
                   Adam Persing   Bayesian parameter inference for
                                  partially observed stopped processes . . 1--20
      Alexander Hapfelmeier and   
            Torsten Hothorn and   
                   Kurt Ulm and   
                 Carolin Strobl   A new variable importance measure for
                                  random forests with missing data . . . . 21--34
 Carlos E. Rodríguez and   
              Stephen G. Walker   Univariate Bayesian nonparametric
                                  mixture modeling with unimodal kernels   35--49
                Xiaohui Liu and   
                      Yijun Zuo   Computing projection depth and its
                                  associated estimators  . . . . . . . . . 51--63
A. Martín Andrés and   
M. Álvarez Hernández   Two-tailed approximate confidence
                                  intervals for the ratio of proportions   65--75
        Gabriele Fiorentini and   
          Christophe Planas and   
               Alessandro Rossi   Efficient MCMC sampling in dynamic
                                  mixture models . . . . . . . . . . . . . 77--89
                T. Mrkvicka and   
                   M. Muska and   
                     J. Kubecka   Two step estimation for Neyman--Scott
                                  point process with inhomogeneous cluster
                                  centers  . . . . . . . . . . . . . . . . 91--100
            Linda M. Haines and   
                 Allan E. Clark   The construction of optimal designs for
                                  dose-escalation studies  . . . . . . . . 101--109
                    L. Wang and   
                     J. Cao and   
               J. O. Ramsay and   
               D. M. Burger and   
           C. J. L. Laporte and   
                J. K. Rockstroh   Estimating mixed-effects differential
                                  equation models  . . . . . . . . . . . . 111--121
               Chenlei Leng and   
                  Weiping Zhang   Smoothing combined estimating equations
                                  in quantile regression for longitudinal
                                  data . . . . . . . . . . . . . . . . . . 123--136
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??

Statistics and Computing
Volume 24, Number 2, March, 2014

              Andreas Groll and   
                   Gerhard Tutz   Variable selection for generalized
                                  linear mixed models by $ L_1 $-penalized
                                  estimation . . . . . . . . . . . . . . . 137--154
               Andrew C. Titman   Estimating parametric semi-Markov models
                                  from panel data using phase-type
                                  approximations . . . . . . . . . . . . . 155--164
               J. L. Scealy and   
                    A. H. Welsh   Fitting Kent models to compositional
                                  data with small concentration  . . . . . 165--179
                 Sharon Lee and   
          Geoffrey J. McLachlan   Finite mixtures of multivariate skew
                                  $t$-distributions: some recent and new
                                  results  . . . . . . . . . . . . . . . . 181--202
             Ryan P. Browne and   
             Paul D. McNicholas   Orthogonal Stiefel manifold optimization
                                  for eigen-decomposed covariance
                                  parameter estimation in mixture models   203--210
            Dexter O. Cahoy and   
                Federico Polito   Parameter estimation for fractional
                                  birth and fractional death processes . . 211--222
                Stefan Lang and   
            Nikolaus Umlauf and   
        Peter Wechselberger and   
           Kenneth Harttgen and   
                   Thomas Kneib   Multilevel structured additive
                                  regression . . . . . . . . . . . . . . . 223--238
                    Luc Devroye   Random variate generation for the
                                  generalized inverse Gaussian
                                  distribution . . . . . . . . . . . . . . 239--246
                Erlend Aune and   
          Daniel P. Simpson and   
                     Jo Eidsvik   Parameter estimation in high dimensional
                                  Gaussian distributions . . . . . . . . . 247--263
                 Derek S. Young   Mixtures of regressions with
                                  changepoints . . . . . . . . . . . . . . 265--281
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??

Statistics and Computing
Volume 24, Number 3, May, 2014

          Frank Konietschke and   
                   Markus Pauly   Bootstrapping and permuting paired
                                  $t$-test type statistics . . . . . . . . 283--296
       Loukia Meligkotsidou and   
             Elias Tzavalis and   
             Ioannis D. Vrontos   A Bayesian method of distinguishing unit
                                  root from stationary processes based on
                                  panel data models with cross-sectional
                                  dependence . . . . . . . . . . . . . . . 297--315
           Julien Cornebise and   
              Eric Moulines and   
                   Jimmy Olsson   Adaptive sequential Monte Carlo by means
                                  of mixture of experts  . . . . . . . . . 317--337
             Babak Shahbaba and   
                 Shiwei Lan and   
          Wesley O. Johnson and   
                Radford M. Neal   Split Hamiltonian Monte Carlo  . . . . . 339--349
             Davide Ferrari and   
            Matteo Borrotti and   
                Davide De March   Response improvement in complex
                                  experiments by co-information composite
                                  likelihood optimization  . . . . . . . . 351--363
              Oguz Akbilgic and   
         Hamparsum Bozdogan and   
               M. Erdal Balaban   A novel Hybrid RBF Neural Networks model
                                  as a forecaster  . . . . . . . . . . . . 365--375
   Lorenzo Hernández and   
               Jorge Tejero and   
                 Alberto Su and   
Santiago Carrillo-Menéndez   Percentiles of sums of heavy-tailed
                                  random variables: beyond the single-loss
                                  approximation  . . . . . . . . . . . . . 377--397
              Yi-Ting Hwang and   
              Hsun-Chih Kuo and   
             Chun-Chao Wang and   
                  Meng Feng Lee   Estimating the number of true null
                                  hypotheses in multiple hypothesis
                                  testing  . . . . . . . . . . . . . . . . 399--416
               Sara Viviani and   
          Marco Alfó and   
            Dimitris Rizopoulos   Generalized linear mixed joint model for
                                  longitudinal and survival outcomes . . . 417--427
                 Seokho Lee and   
               Jianhua Z. Huang   A biclustering algorithm for binary
                                  matrices based on penalized Bernoulli
                                  likelihood . . . . . . . . . . . . . . . 429--441
            Ana Arribas-Gil and   
              Karine Bertin and   
              Cristian Meza and   
              Vincent Rivoirard   LASSO-type estimators for semiparametric
                                  nonlinear mixed-effects models
                                  estimation . . . . . . . . . . . . . . . 443--460
               Marco Geraci and   
                  Matteo Bottai   Linear quantile mixed models . . . . . . 461--479
                Sonja Kuhnt and   
              Fabio Rapallo and   
            André Rehage   Outlier detection in contingency tables
                                  based on minimal patterns  . . . . . . . 481--491
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??

Statistics and Computing
Volume 24, Number 4, July, 2014

             Stevenn Volant and   
     Caroline Bérard and   
Marie-Laure Martin-Magniette and   
          Stéphane Robin   Hidden Markov Models with mixtures as
                                  emission distributions . . . . . . . . . 493--504
             Sooyoung Cheon and   
               Faming Liang and   
                 Yuguo Chen and   
                         Kai Yu   Stochastic approximation Monte Carlo
                                  importance sampling for approximating
                                  exact conditional probabilities  . . . . 505--520
                       Hao Wang   Coordinate descent algorithm for
                                  covariance graphical lasso . . . . . . . 521--529
                Tsung-I Lin and   
                 Hsiu J. Ho and   
                  Chia-Rong Lee   Flexible mixture modelling using the
                                  multivariate skew-$t$-normal
                                  distribution . . . . . . . . . . . . . . 531--546
      Wolfgang Hörmann and   
                  Josef Leydold   Generating generalized inverse Gaussian
                                  random variates  . . . . . . . . . . . . 547--557
               Sy Han Chiou and   
              Sangwook Kang and   
                        Jun Yan   Fast accelerated failure time modeling
                                  for case-cohort data . . . . . . . . . . 559--568
           Isabella Gollini and   
          Thomas Brendan Murphy   Mixture of latent trait analyzers for
                                  model-based clustering of categorical
                                  data . . . . . . . . . . . . . . . . . . 569--588
             Lucio Barabesi and   
                  Luca Pratelli   A note on a universal random variate
                                  generator for integer-valued random
                                  variables  . . . . . . . . . . . . . . . 589--596
          Matthias Borowski and   
                   Roland Fried   Online signal extraction by robust
                                  regression in moving windows with
                                  data-adaptive width selection  . . . . . 597--613
            Claudia Fassino and   
           Giovanni Pistone and   
                 Eva Riccomagno   The algebra of interpolatory cubature
                                  formulæ for generic nodes . . . . . . . . 615--632
          Jürgen Franz and   
       Alicja Jokiel-Rokita and   
                Ryszard Magiera   Prediction in trend-renewal processes
                                  for repairable systems . . . . . . . . . 633--649
            Jean-Noel Bacro and   
                   Carlo Gaetan   Estimation of spatial max-stable models
                                  using threshold exceedances  . . . . . . 651--662
             Chris J. Lloyd and   
                       Degui Li   Computing highly accurate confidence
                                  limits from discrete data using
                                  importance sampling  . . . . . . . . . . 663--673
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??

Statistics and Computing
Volume 24, Number 5, September, 2014

         Jean-Benoist Leger and   
             Corinne Vacher and   
            Jean-Jacques Daudin   Detection of structurally homogeneous
                                  subsets in graphs  . . . . . . . . . . . 675--692
              Marc Lavielle and   
               Cyprien Mbogning   An improved SAEM algorithm for maximum
                                  likelihood estimation in mixtures of non
                                  linear mixed effects models  . . . . . . 693--707
                 Nial Friel and   
              Merrilee Hurn and   
                     Jason Wyse   Improving power posterior estimation of
                                  statistical evidence . . . . . . . . . . 709--723
                Jianxin Pan and   
                     Chao Huang   Random effects selection in generalized
                                  linear mixed models via shrinkage
                                  penalty function . . . . . . . . . . . . 725--738
         Theodoros Economou and   
           Trevor C. Bailey and   
                  Zoran Kapelan   MCMC implementation for Bayesian hidden
                                  semi-Markov models with illustrative
                                  applications . . . . . . . . . . . . . . 739--752
           Giovanna Menardi and   
               Adelchi Azzalini   An advancement in clustering via
                                  nonparametric density estimation . . . . 753--767
      Alan Ricardo da Silva and   
Thais Carvalho Valadares Rodrigues   Geographically Weighted Negative
                                  Binomial Regression-incorporating
                                  overdispersion . . . . . . . . . . . . . 769--783
       Geir Drage Berentsen and   
           Dag Tjòstheim   Recognizing and visualizing departures
                                  from independence in bivariate data
                                  using local Gaussian correlation . . . . 785--801
                      Yi Yu and   
                      Yang Feng   APPLE: approximate path for penalized
                                  likelihood estimators  . . . . . . . . . 803--819
        I. N. M. Shaharanee and   
                      F. Hadzic   Evaluation and optimization of frequent,
                                  closed and maximal association rule
                                  based classification . . . . . . . . . . 821--843
             Shih-Chang Lee and   
             Ning-Ning Pang and   
                  Wen-Jer Tzeng   Resolution dependence of the maximal
                                  information coefficient for noiseless
                                  relationship . . . . . . . . . . . . . . 845--852
                 Limin Peng and   
                 Jinfeng Xu and   
                   Nancy Kutner   Shrinkage estimation of varying
                                  covariate effects based on quantile
                                  regression . . . . . . . . . . . . . . . 853--869
             Dingfeng Jiang and   
                     Jian Huang   Majorization minimization by coordinate
                                  descent for concave penalized
                                  generalized linear models  . . . . . . . 871--883
               Yonggang Yao and   
                  Yoonkyung Lee   Another look at linear programming for
                                  feature selection via methods of
                                  regularization . . . . . . . . . . . . . 885--905
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??

Statistics and Computing
Volume 24, Number 6, November, 2014

              Alessio Farcomeni   Snipping for robust $k$-means clustering
                                  under component-wise contamination . . . 907--919
               Ian C. Marschner   Combinatorial EM algorithms  . . . . . . 921--940
                Livio Finos and   
                    Dario Basso   Permutation tests for between-unit fixed
                                  effects in multivariate generalized
                                  linear mixed models  . . . . . . . . . . 941--952
       Christophe Biernacki and   
               Alexandre Lourme   Stable and visualizable Gaussian
                                  parsimonious clustering models . . . . . 953--969
            Florence Forbes and   
                  Darren Wraith   A new family of multivariate
                                  heavy-tailed distributions with variable
                                  marginal amounts of tailweight:
                                  application to robust clustering . . . . 971--984
                  Jianbo Li and   
            Zhensheng Huang and   
                      Heng Lian   Empirical likelihood inference for
                                  general transformation models with right
                                  censored data  . . . . . . . . . . . . . 985--995
              Andrew Gelman and   
              Jessica Hwang and   
                    Aki Vehtari   Understanding predictive information
                                  criteria for Bayesian models . . . . . . 997--1016
                 Gordon J. Ross   Sequential change detection in the
                                  presence of unknown parameters . . . . . 1017--1030
          Elizabeth Ann Maharaj   Classification of cyclical time series
                                  using complex demodulation . . . . . . . 1031--1046
                Junjing Lin and   
              Michael Ludkovski   Sequential Bayesian inference in hidden
                                  Markov stochastic kinetic models with
                                  application to detection and response to
                                  seasonal epidemics . . . . . . . . . . . 1047--1062
       Belmiro P. M. Duarte and   
                  Weng Kee Wong   A semi-infinite programming based
                                  algorithm for finding minimax optimal
                                  designs for nonlinear models . . . . . . 1063--1080
       Göran Kauermann and   
           Christian Schellhase   Flexible pair-copula estimation in
                                  $D$-vines using bivariate penalized
                                  splines  . . . . . . . . . . . . . . . . 1081--1100
               Hongxia Yang and   
                    Fei Liu and   
                 Chunlin Ji and   
                   David Dunson   Adaptive sampling for Bayesian
                                  geospatial models  . . . . . . . . . . . 1101--1110
           Marcos O. Prates and   
            Denise R. Costa and   
               Victor H. Lachos   Generalized linear mixed models for
                                  correlated binary data with $t$-link . . 1111--1123
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??


Statistics and Computing
Volume 25, Number 1, January, 2015

            Antonietta Mira and   
            Christian P. Robert   An introduction to the special issue
                                  ``Joint IMS--ISBA meeting --- MCMSki 4'' 1--1
                  Heikki Haario   Introduction to ``Quantitative bounds of
                                  convergence for geometrically ergodic
                                  Markov Chain in the Wasserstein distance
                                  with application to the Metropolis
                                  adjusted Langevin algorithm'' by A.
                                  Durmus, É. Moulines . . . . . . . . . . . 3--3
               Alain Durmus and   
           Éric Moulines   Quantitative bounds of convergence for
                                  geometrically ergodic Markov chain in
                                  the Wasserstein distance with
                                  application to the Metropolis Adjusted
                                  Langevin Algorithm . . . . . . . . . . . 5--19
                     Nial Friel   Introduction to ``Pre-processing for
                                  approximate Bayesian computation in
                                  image analysis'' by M. Moores, C.
                                  Drovandi, K. Mengersen, C. Robert  . . . 21--21
          Matthew T. Moores and   
    Christopher C. Drovandi and   
           Kerrie Mengersen and   
            Christian P. Robert   Pre-processing for approximate Bayesian
                                  computation in image analysis  . . . . . 23--33
                 Bradley Carlin   Introduction to ``Cuts in Bayesian
                                  graphical models'' by M. Plummer . . . . 35--35
                 Martyn Plummer   Cuts in Bayesian graphical models  . . . 37--43
               Håvard Rue   Introduction to ``Fast matrix
                                  computations for functional additive
                                  models'' by S. Barthelmé  . . . . . . . . 45--45
         Simon Barthelmé   Fast matrix computations for functional
                                  additive models  . . . . . . . . . . . . 47--63
                  Peter Mueller   Introduction to ``On a class of $ \sigma
                                  $-stable Poisson--Kingman models and an
                                  effective marginalized sampler'' by S.
                                  Favaro, M. Lomeli, Y. W. Teh . . . . . . 65--66
                  S. Favaro and   
                  M. Lomeli and   
                      Y. W. Teh   On a class of $ \sigma $-stable
                                  Poisson--Kingman models and an effective
                                  marginalized sampler . . . . . . . . . . 67--78
             Christophe Andrieu   Introduction to ``Particle
                                  Metropolis--Hastings using gradient and
                                  Hessian information'' by J. Dahlin, F.
                                  Lindsten, T. Schön  . . . . . . . . . . . 79--79
               Johan Dahlin and   
           Fredrik Lindsten and   
           Thomas B. Schön   Particle Metropolis--Hastings using
                                  gradient and Hessian information . . . . 81--92
                 Stefano Peluso   Introduction to ``On the use of Markov
                                  chain Monte Carlo methods for the
                                  sampling of mixture models'' by R. Douc,
                                  F. Maire, J. Olsson  . . . . . . . . . . 93--94
                Randal Douc and   
              Florian Maire and   
                   Jimmy Olsson   On the use of Markov chain Monte Carlo
                                  methods for the sampling of mixture
                                  models: a statistical perspective  . . . 95--110
                     Nial Friel   Introduction to ``Efficient
                                  computational strategies for doubly
                                  intractable problems with applications
                                  to Bayesian social networks'' by A.
                                  Caimo, A. Mira . . . . . . . . . . . . . 111--111
              Alberto Caimo and   
                Antonietta Mira   Efficient computational strategies for
                                  doubly intractable problems with
                                  applications to Bayesian social networks 113--125
            Christian P. Robert   Introduction to ``Adaptive ABC model
                                  choice and geometric summary statistics
                                  for hidden Gibbs random fields'' by J.
                                  Stoehr, P. Pudlo, L. Cucala  . . . . . . 127--127
              Julien Stoehr and   
               Pierre Pudlo and   
                  Lionel Cucala   Adaptive ABC model choice and geometric
                                  summary statistics for hidden Gibbs
                                  random fields  . . . . . . . . . . . . . 129--141
                 Robin J. Ryder   Introduction to ``Scalable inference for
                                  Markov processes with intractable
                                  likelihoods'' by J. Owen, D. Wilkinson,
                                  C. Gillespie . . . . . . . . . . . . . . 143--143
                 Jamie Owen and   
        Darren J. Wilkinson and   
             Colin S. Gillespie   Scalable inference for Markov processes
                                  with intractable likelihoods . . . . . . 145--156
                      Colin Fox   Introduction to ``Efficient local
                                  updates for undirected graphical
                                  models'' by F. Stingo, G. Marchetti  . . 157--157
           Francesco Stingo and   
          Giovanni M. Marchetti   Efficient local updates for undirected
                                  graphical models . . . . . . . . . . . . 159--171

Statistics and Computing
Volume 25, Number 2, March, 2015

            Patrick Breheny and   
                     Jian Huang   Group descent algorithms for nonconvex
                                  penalized linear and logistic regression
                                  models with grouped predictors . . . . . 173--187
               Mengmeng Guo and   
                   Lan Zhou and   
           Jianhua Z. Huang and   
      Wolfgang Karl Härdle   Functional data analysis of generalized
                                  regression quantiles . . . . . . . . . . 189--202
               Livio Corain and   
                  Luigi Salmaso   Improving power of multivariate
                                  combination-based permutation tests  . . 203--214
         Francesca Greselin and   
            Salvatore Ingrassia   Maximum likelihood estimation in
                                  constrained parameter spaces for
                                  mixtures of factor analyzers . . . . . . 215--226
               Jack Kuipers and   
                    Giusi Moffa   Uniform random generation of large
                                  acyclic digraphs . . . . . . . . . . . . 227--242
    Christelle Vergé and   
            Cyrille Dubarry and   
           Pierre Del Moral and   
                  Eric Moulines   On parallel implementation of sequential
                                  Monte Carlo methods: the island particle
                                  model  . . . . . . . . . . . . . . . . . 243--260
         Francesca Martella and   
           Donatella Vicari and   
                 Maurizio Vichi   Partitioning predictors in multivariate
                                  regression models  . . . . . . . . . . . 261--272
              Ray-Bing Chen and   
                 Meihui Guo and   
    Wolfgang K. Härdle and   
                Shih-Feng Huang   COPICA-independent component analysis
                                  via copula techniques  . . . . . . . . . 273--288
                S. R. White and   
                T. Kypraios and   
                  S. P. Preston   Piecewise Approximate Bayesian
                                  Computation: fast inference for
                                  discretely observed Markov models using
                                  a factorised posterior distribution  . . 289--301
             Yann Guédon   Segmentation uncertainty in multiple
                                  change-point models  . . . . . . . . . . 303--320
               Tomonari Sei and   
                    Alfred Kume   Calculating the normalising constant of
                                  the Bingham distribution on the sphere
                                  using the holonomic gradient method  . . 321--332
                 Peter Neal and   
              Theodore Kypraios   Exact Bayesian inference via data
                                  augmentation . . . . . . . . . . . . . . 333--347
                  Xuxu Wang and   
                      Yong Wang   Nonparametric multivariate density
                                  estimation using mixtures  . . . . . . . 349--364
               Roland Fried and   
          Inoncent Agueusop and   
        Björn Bornkamp and   
      Konstantinos Fokianos and   
                 Jana Fruth and   
                 Katja Ickstadt   Retrospective Bayesian outlier detection
                                  in INGARCH series  . . . . . . . . . . . 365--374
          Helgi Tómasson   Some computational aspects of Gaussian
                                  CARMA modelling  . . . . . . . . . . . . 375--387
        Avishek Chakraborty and   
                  Swarup De and   
          Kenneth P. Bowman and   
                Huiyan Sang and   
             Marc G. Genton and   
                Bani K. Mallick   An adaptive spatial model for
                                  precipitation data from multiple
                                  satellites over large regions  . . . . . 389--405
           Eugenia Koblents and   
   Joaquín Míguez   A population Monte Carlo scheme with
                                  transformed weights and its application
                                  to stochastic kinetic models . . . . . . 407--425
      Simo Särkkä and   
          Jouni Hartikainen and   
    Isambi Sailon Mbalawata and   
                  Heikki Haario   Posterior inference on parameters of
                                  stochastic differential equations via
                                  non-linear Gaussian filtering and
                                  adaptive MCMC  . . . . . . . . . . . . . 427--437
         Ricardo A. Maronna and   
     Fernanda Méndez and   
         Víctor J. Yohai   Robust nonlinear principal components    439--448
            Laure Sansonnet and   
         Christine Tuleau-Malot   A model of Poissonian interactions and
                                  detection of dependence  . . . . . . . . 449--470

Statistics and Computing
Volume 25, Number 3, May, 2015

                 L. Naranjo and   
         C. J. Pérez and   
               J. Martín   Bayesian analysis of some models that
                                  use the asymmetric exponential power
                                  distribution . . . . . . . . . . . . . . 497--514
       Francesco Bartolucci and   
              Alessio Farcomeni   Information matrix for hidden Markov
                                  models with covariates . . . . . . . . . 515--526
          Therese Graversen and   
              Steffen Lauritzen   Computational aspects of DNA mixture
                                  analysis . . . . . . . . . . . . . . . . 527--541
                Natalya Pya and   
                  Simon N. Wood   Shape constrained additive models  . . . 543--559
         Elias D. Nino Ruiz and   
               Adrian Sandu and   
               Jeffrey Anderson   An efficient implementation of the
                                  ensemble Kalman filter based on an
                                  iterative Sherman--Morrison formula  . . 561--577
                 Gaorong Li and   
                   Peng Lai and   
                      Heng Lian   Variable selection and estimation for
                                  partially linear single-index models
                                  with longitudinal data . . . . . . . . . 579--593
             Sinan Yildirim and   
                  Lan Jiang and   
         Sumeetpal S. Singh and   
                 Thomas A. Dean   Calibrating the Gaussian multi-target
                                  tracking model . . . . . . . . . . . . . 595--608
           Niels Richard Hansen   Nonparametric likelihood based
                                  estimation of linear filters for point
                                  processes  . . . . . . . . . . . . . . . 609--618
L. A. García-Escudero and   
               A. Gordaliza and   
           C. Matrán and   
                  A. Mayo-Iscar   Avoiding spurious local maximizers in
                                  mixture modeling . . . . . . . . . . . . 619--633
                       Steve Su   Flexible parametric quantile regression
                                  model  . . . . . . . . . . . . . . . . . 635--650
                    Yuao Hu and   
               Kaifeng Zhao and   
                      Heng Lian   Bayesian quantile regression for
                                  partially linear additive models . . . . 651--668
    Alexei Manso Correa Machado   Dependence aliasing and the control of
                                  family-wise error rate in multiple
                                  hypothesis testing . . . . . . . . . . . 669--681
          Filipe J. Marques and   
           Carlos A. Coelho and   
             Miguel de Carvalho   On the distribution of linear
                                  combinations of independent Gumbel
                                  random variables . . . . . . . . . . . . 683--701

Statistics and Computing
Volume 25, Number 4, July, 2015

                      Anonymous   Editor's note: 25th Anniversary Special
                                  Issue  . . . . . . . . . . . . . . . . . 703--703
                  David J. Hand   Statistics and computing: the genesis of
                                  data science . . . . . . . . . . . . . . 705--711
        Jean-Patrick Baudry and   
                  Gilles Celeux   EM for mixtures  . . . . . . . . . . . . 713--726
          Alexandros Beskos and   
                 Ajay Jasra and   
            Ege A. Muzaffer and   
               Andrew M. Stuart   Sequential Monte Carlo methods for
                                  Bayesian elliptic inverse problems . . . 727--737
              Ricardo Silva and   
              Alfredo Kalaitzis   Bayesian inference via projections . . . 739--753
    Bernhard Schölkopf and   
           Krikamol Muandet and   
             Kenji Fukumizu and   
           Stefan Harmeling and   
                   Jonas Peters   Computing functions of random variables
                                  via reproducing kernel Hilbert space
                                  representations  . . . . . . . . . . . . 755--766
     Simon Barthelmé and   
                 Nicolas Chopin   The Poisson transform for unnormalised
                                  statistical models . . . . . . . . . . . 767--780
               Panos Toulis and   
             Edoardo M. Airoldi   Scalable estimation strategies based on
                                  stochastic approximations: classical
                                  results and new insights . . . . . . . . 781--795
           Sergio Bacallado and   
             Persi Diaconis and   
                   Susan Holmes   De Finetti Priors using Markov chain
                                  Monte Carlo computations . . . . . . . . 797--808
                   Ying Liu and   
              Andrew Gelman and   
                     Tian Zheng   Simulation-efficient shortest
                                  probability intervals  . . . . . . . . . 809--819
           Christian Hennig and   
                   Chien-Ju Lin   Flexible parametric bootstrap for
                                  testing homogeneity against clustering
                                  and assessing the number of clusters . . 821--833
             Peter J. Green and   
    Krzysztof Latuszy\'nski and   
            Marcelo Pereyra and   
            Christian P. Robert   Bayesian computation: a summary of the
                                  current state, and samples backwards and
                                  forwards . . . . . . . . . . . . . . . . 835--862
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??

Statistics and Computing
Volume 25, Number 5, September, 2015

                 Kei Hirose and   
                Michio Yamamoto   Sparse estimation via nonconcave
                                  penalized likelihood in factor analysis
                                  model  . . . . . . . . . . . . . . . . . 863--875
          Moreno Bevilacqua and   
                   Carlo Gaetan   Comparing composite likelihood methods
                                  based on pairs for spatial Gaussian
                                  random fields  . . . . . . . . . . . . . 877--892
          Antoine Deleforge and   
            Florence Forbes and   
                    Radu Horaud   High-dimensional regression with
                                  Gaussian mixtures and partially-latent
                                  response variables . . . . . . . . . . . 893--911
          Matthias Borowski and   
               Dennis Busse and   
                   Roland Fried   Robust online-surveillance of
                                  trend-coherence in multivariate data
                                  streams: the similar trend monitoring
                                  (STM) procedure  . . . . . . . . . . . . 913--928
                  Tommi Mononen   A case study of the widely applicable
                                  Bayesian information criterion and its
                                  optimality . . . . . . . . . . . . . . . 929--940
María Xosé Rodríguez-Álvarez and   
                Dae-Jin Lee and   
               Thomas Kneib and   
 María Durbán and   
                    Paul Eilers   Fast smoothing parameter separation in
                                  multidimensional generalized
                                  $P$-splines: the SAP algorithm . . . . . 941--957
José E. Chacón and   
                     Tarn Duong   Efficient recursive algorithms for
                                  functionals based on higher order
                                  derivatives of the multivariate Gaussian
                                  density  . . . . . . . . . . . . . . . . 959--974
              Ray-Bing Chen and   
           Shin-Perng Chang and   
              Weichung Wang and   
             Heng-Chih Tung and   
                  Weng Kee Wong   Minimax optimal designs via particle
                                  swarm optimization methods . . . . . . . 975--988
                Giang Trinh and   
                      Alan Genz   Bivariate conditioning approximations
                                  for multivariate normal probabilities    989--996
           Mathew W. McLean and   
               Giles Hooker and   
                  David Ruppert   Restricted likelihood ratio tests for
                                  linearity in scalar-on-function
                                  regression . . . . . . . . . . . . . . . 997--1008
      Alfonso Iodice D'Enza and   
                 Angelos Markos   Low-dimensional tracking of association
                                  structures in categorical data . . . . . 1009--1022
            David I. Hastie and   
            Silvia Liverani and   
              Sylvia Richardson   Sampling from Dirichlet process mixture
                                  models with unknown concentration
                                  parameter: mixing issues in large data
                                  implementations  . . . . . . . . . . . . 1023--1037
           Andrew Golightly and   
        Daniel A. Henderson and   
                 Chris Sherlock   Delayed acceptance particle MCMC for
                                  exact inference in stochastic kinetic
                                  models . . . . . . . . . . . . . . . . . 1039--1055
                      Anonymous   Help & Contacts . . . . . . . . . . . . . ??

Statistics and Computing
Volume 25, Number 6, November, 2015

             Ivan Vujaci\'c and   
               Itai Dattner and   
     Javier González and   
                      Ernst Wit   Time-course window estimator for
                                  ordinary differential equations linear
                                  in the parameters  . . . . . . . . . . . 1057--1070
          Eugen Pircalabelu and   
            Gerda Claeskens and   
                Lourens Waldorp   A focused information criterion for
                                  graphical models . . . . . . . . . . . . 1071--1092
           Minh Khoa Nguyen and   
               Steve Phelps and   
                    Wing Lon Ng   Simulation based calibration using
                                  extended balanced augmented empirical
                                  likelihood . . . . . . . . . . . . . . . 1093--1112
        Selin Damla Ahipasaoglu   A first-order algorithm for the
                                  $A$-optimal experimental design problem:
                                  a mathematical programming approach  . . 1113--1127
                    Yi Yang and   
                        Hui Zou   A fast unified algorithm for solving
                                  group-lasso penalize learning problems   1129--1141
               C. Bouveyron and   
                  M. Fauvel and   
                      S. Girard   Kernel discriminant analysis and
                                  clustering with parsimonious Gaussian
                                  process models . . . . . . . . . . . . . 1143--1162
       Luis Mauricio Castro and   
          Denise Reis Costa and   
     Marcos Oliveira Prates and   
             Victor Hugo Lachos   Likelihood-based inference for Tobit
                                  confirmatory factor analysis using the
                                  multivariate Student-$t$ distribution    1163--1183
              Hajo Holzmann and   
              Florian Schwaiger   Hidden Markov models with
                                  state-dependent mixtures: minimal
                                  representation, model testing and
                                  applications to clustering . . . . . . . 1185--1200
          Christine Keribin and   
             Vincent Brault and   
              Gilles Celeux and   
          Gérard Govaert   Estimation and selection for the latent
                                  block model on categorical data  . . . . 1201--1216
               Carlo Albert and   
        Hans R. Künsch and   
            Andreas Scheidegger   A simulated annealing approach to
                                  approximate Bayes computations . . . . . 1217--1232
                 G. K. Robinson   Practical computing for finite moment
                                  log-stable distributions to model
                                  financial risk . . . . . . . . . . . . . 1233--1246
         Elisabeth Waldmann and   
                   Thomas Kneib   Variational approximations in
                                  geoadditive latent Gaussian regression:
                                  mean and quantile regression . . . . . . 1247--1263
                 Victor Picheny   Multiobjective optimization using
                                  Gaussian process emulators via stepwise
                                  uncertainty reduction  . . . . . . . . . 1265--1280
                    F. J. Rubio   Letter to the Editor: On the use of
                                  improper priors for the shape parameters
                                  of asymmetric exponential power models   1281--1287


Statistics and Computing
Volume 26, Number 1--2, January, 2016

            Benjamin Hofner and   
               Thomas Kneib and   
                Torsten Hothorn   A unified framework of constrained
                                  regression . . . . . . . . . . . . . . . 1--14
      Daniel Palhazi Cuervo and   
                 Peter Goos and   
          Kenneth Sörensen   Optimal design of large-scale screening
                                  experiments: a critical look at the
                                  coordinate-exchange algorithm  . . . . . 15--28
                 P. Alquier and   
                   N. Friel and   
                 R. Everitt and   
                      A. Boland   Noisy Monte Carlo: convergence of Markov
                                  chains with approximate transition
                                  kernels  . . . . . . . . . . . . . . . . 29--47
              Julian J. Faraway   Does data splitting improve prediction?  49--60
                 E. Gassiat and   
                 A. Cleynen and   
                       S. Robin   Inference in finite state space non
                                  parametric Hidden Markov Models and
                                  applications . . . . . . . . . . . . . . 61--71
               Felix Heinzl and   
                   Gerhard Tutz   Additive mixed models with approximate
                                  Dirichlet process mixtures: the EM
                                  approach . . . . . . . . . . . . . . . . 73--92
             E. Dubossarsky and   
             J. H. Friedman and   
              J. T. Ormerod and   
                     M. P. Wand   Wavelet-based gradient boosting  . . . . 93--105
             Giacomo Aletti and   
               Caterina May and   
                 Chiara Tommasi   KL-optimum designs: theoretical
                                  properties and practical computation . . 107--117
               Jacob Gagnon and   
                  Hua Liang and   
                       Anna Liu   Spherical radial approximation for
                                  nested mixed effects models  . . . . . . 119--130
               Sungwan Bang and   
               HyungJun Cho and   
                Myoungshic Jhun   Simultaneous estimation for non-crossing
                                  multiple quantile regression with right
                                  censored data  . . . . . . . . . . . . . 131--147
               K. Chowdhary and   
                     H. N. Najm   Data free inference with processed data
                                  products . . . . . . . . . . . . . . . . 149--169
                 Dennis Prangle   Lazy ABC . . . . . . . . . . . . . . . . 171--185
                  Noboru Nomura   Evaluation of Gaussian orthant
                                  probabilities based on orthogonal
                                  projections to subspaces . . . . . . . . 187--197
                  Chong You and   
         Samuel Müller and   
                John T. Ormerod   On generalized degrees of freedom with
                                  application in linear mixed models
                                  selection  . . . . . . . . . . . . . . . 199--210
                  Eric Simonnet   Combinatorial analysis of the adaptive
                                  last particle method . . . . . . . . . . 211--230
               Junshan Wang and   
                     Ajay Jasra   Monte Carlo algorithms for computing $
                                  \alpha $-permanents  . . . . . . . . . . 231--248
                    Bei Wei and   
          Stephen M. S. Lee and   
                      Xiyuan Wu   Stochastically optimal bootstrap sample
                                  size for shrinkage-type statistics . . . 249--262
                 A. Cleynen and   
                       S. Robin   Comparing change-point location in
                                  independent series . . . . . . . . . . . 263--276
    Frederick Kin Hing Phoa and   
               Tai-Chi Wang and   
                  Shu-Ching Lin   A search of maximum generalized
                                  resolution quaternary-code designs via
                                  integer linear programming . . . . . . . 277--283
             Vivian Viallon and   
     Sophie Lambert-Lacroix and   
       Hölger Hoefling and   
                  Franck Picard   On the robustness of the generalized
                                  fused lasso to prior specifications  . . 285--301
    Gertraud Malsiner-Walli and   
Sylvia Frühwirth-Schnatter and   
              Bettina Grün   Model-based clustering based on sparse
                                  finite Gaussian mixtures . . . . . . . . 303--324
               F. Critchley and   
                    P. Marriott   Computing with Fisher geodesics and
                                  extended exponential families  . . . . . 325--332
            Silia Vitoratou and   
          Ioannis Ntzoufras and   
                 Irini Moustaki   Explaining the behavior of joint and
                                  marginal Monte Carlo estimators in
                                  latent variable models with independence
                                  assumptions  . . . . . . . . . . . . . . 333--348
    Christopher J. Fallaize and   
              Theodore Kypraios   Exact Bayesian inference for the Bingham
                                  distribution . . . . . . . . . . . . . . 349--360
             Minh-Ngoc Tran and   
            Michael K. Pitt and   
                    Robert Kohn   Adaptive Metropolis--Hastings sampling
                                  using reversible dependent mixture
                                  proposals  . . . . . . . . . . . . . . . 361--381
               Johannes Buchner   A statistical test for Nested Sampling
                                  algorithms . . . . . . . . . . . . . . . 383--392
             Anindya Bhadra and   
              Edward L. Ionides   Adaptive particle allocation in iterated
                                  sequential Monte Carlo via approximating
                                  meta-models  . . . . . . . . . . . . . . 393--407
                   Luo Xiao and   
           Vadim Zipunnikov and   
              David Ruppert and   
            Ciprian Crainiceanu   Fast covariance estimation for
                                  high-dimensional functional data . . . . 409--421
                  J. E. Griffin   An adaptive truncation method for
                                  inference in Bayesian nonparametric
                                  models . . . . . . . . . . . . . . . . . 423--441
         Caio L. N. Azevedo and   
              Jean-Paul Fox and   
              Dalton F. Andrade   Bayesian longitudinal item response
                                  modeling with restricted covariance
                                  pattern structures . . . . . . . . . . . 443--460
                 Lisha Chen and   
               Jianhua Z. Huang   Sparse reduced-rank regression with
                                  covariance estimation  . . . . . . . . . 461--470
                Seppo Pulkkinen   Nonlinear kernel density principal
                                  component analysis with application to
                                  climate data . . . . . . . . . . . . . . 471--492
                  Lin Zhang and   
               Abhra Sarkar and   
                Bani K. Mallick   Bayesian sparse covariance decomposition
                                  with a graphical structure . . . . . . . 493--510
               Arthur White and   
                 Jason Wyse and   
          Thomas Brendan Murphy   Bayesian variable selection for latent
                                  class analysis using a collapsed Gibbs
                                  sampler  . . . . . . . . . . . . . . . . 511--527
              Monia Ranalli and   
                  Roberto Rocci   Mixture models for ordinal data: a
                                  pairwise likelihood approach . . . . . . 529--547
       Jean-Baptiste Durand and   
             Yann Guédon   Localizing the latent structure
                                  canonical uncertainty: entropy profiles
                                  for hidden Markov models . . . . . . . . 549--567
       Jean-Baptiste Durand and   
             Yann Guédon   Erratum to: Localizing the latent
                                  structure canonical uncertainty: entropy
                                  profiles for hidden Markov models  . . . 569--570
          François Caron   Book Review: \booktitleNonlinear Time
                                  Series: Theory, methods, and
                                  applications with R examples, by Randal
                                  Douc, Eric Moulines, David S. Stoffer    571--572

Statistics and Computing
Volume 26, Number 3, May, 2016

              Sharon X. Lee and   
          Geoffrey J. McLachlan   Finite mixtures of canonical fundamental
                                  skew $t$-distributions . . . . . . . . . 573--589
           Radislav Vaisman and   
           Zdravko I. Botev and   
                      Ad Ridder   Sequential Monte Carlo for counting
                                  vertex covers in general graphs  . . . . 591--607
               Chun Yip Yau and   
                   Kin Wai Chan   New recursive estimators of the
                                  time-average variance constant . . . . . 609--627
               Yanhong Wang and   
                 Yixin Fang and   
                    Junhui Wang   Sparse optimal discriminant clustering   629--639
          Raffaele Argiento and   
           Ilaria Bianchini and   
           Alessandra Guglielmi   A blocked Gibbs sampler for NGG-mixture
                                  models via a priori truncation . . . . . 641--661
                 Sabine Hug and   
     Michael Schwarzfischer and   
              Jan Hasenauer and   
               Carsten Marr and   
                Fabian J. Theis   An adaptive scheduling scheme for
                                  calculating Bayes factors with
                                  thermodynamic integration using
                                  Simpson's rule . . . . . . . . . . . . . 663--677
                 Erlis Ruli and   
             Nicola Sartori and   
                  Laura Ventura   Approximate Bayesian computation with
                                  composite score functions  . . . . . . . 679--692
          Fortunato Pesarin and   
              Luigi Salmaso and   
          Eleonora Carrozzo and   
                 Rosa Arboretti   Union-intersection permutation solution
                                  for two-sample equivalence testing . . . 693--701
          Amir Ahmadi-Javid and   
                  Asghar Moeini   An economical acceptance-rejection
                                  algorithm for uniform random variate
                                  generation over constrained simplexes    703--713
                Julie Josse and   
                  Sylvain Sardy   Adaptive shrinkage of singular values    715--724
    Md Hasinur Rahaman Khan and   
               J. Ewart H. Shaw   Variable selection for survival data
                                  with a class of adaptive elastic net
                                  techniques . . . . . . . . . . . . . . . 725--741
A. Martín Andrés and   
M. Álvarez Hernández   Erratum to: Two-tailed approximate
                                  confidence intervals for the ratio of
                                  proportions  . . . . . . . . . . . . . . 743--744

Statistics and Computing
Volume 26, Number 4, July, 2016

                Marcelo Pereyra   Proximal Markov chain Monte Carlo
                                  algorithms . . . . . . . . . . . . . . . 745--760
                 David A. Spade   A computational procedure for estimation
                                  of the mixing time of the random-scan
                                  Metropolis algorithm . . . . . . . . . . 761--781
    Émeline Perthame and   
       Chloé Friguet and   
                  David Causeur   Stability of feature selection in
                                  classification issues for
                                  high-dimensional correlated data . . . . 783--796
             Chris J. Oates and   
               Jim Q. Smith and   
             Sach Mukherjee and   
                  James Cussens   Exact estimation of multiple directed
                                  acyclic graphs . . . . . . . . . . . . . 797--811
  Clifford Anderson-Bergman and   
                      Yaming Yu   Computing the log concave NPMLE for
                                  interval censored data . . . . . . . . . 813--826
             Anindya Bhadra and   
             Raymond J. Carroll   Exact sampling of the unobserved
                                  covariates in Bayesian spline models for
                                  measurement error problems . . . . . . . 827--840
                Nadja Klein and   
                   Thomas Kneib   Simultaneous inference in structured
                                  additive conditional copula regression
                                  models: a unifying Bayesian approach . . 841--860
            Md. Abul Hasnat and   
              Olivier Alata and   
           Alain Trémeau   Model-based hierarchical clustering with
                                  Bregman divergences and Fishers mixture
                                  model: application to depth image
                                  analysis . . . . . . . . . . . . . . . . 861--880
                 Longhai Li and   
                    Shi Qiu and   
                  Bei Zhang and   
                  Cindy X. Feng   Approximating cross-validatory
                                  predictive evaluation in Bayesian latent
                                  variable models with integrated IS and
                                  WAIC . . . . . . . . . . . . . . . . . . 881--897
                  James Ridgway   Computation of Gaussian orthant
                                  probabilities in high dimension  . . . . 899--916
           Dean A. Bodenham and   
                 Niall M. Adams   A comparison of efficient approximations
                                  for a weighted sum of chi-squared random
                                  variables  . . . . . . . . . . . . . . . 917--928

Statistics and Computing
Volume 26, Number 5, September, 2016

       Christophe Biernacki and   
                 Julien Jacques   Model-based clustering of multivariate
                                  ordinal data relying on a stochastic
                                  binary search algorithm  . . . . . . . . 929--943
               Giles Hooker and   
                 Steven Roberts   Maximal autocorrelation functions in
                                  functional data analysis . . . . . . . . 945--950
    Mateusz Krzysztof Lacki and   
              Blazej Miasojedow   State-dependent swap strategies and
                                  automatic reduction of number of
                                  temperatures in adaptive parallel
                                  tempering algorithm  . . . . . . . . . . 951--964
                Gildas Mazo and   
     Stéphane Girard and   
                Florence Forbes   A flexible and tractable class of
                                  one-factor copulas . . . . . . . . . . . 965--979
             Rosalba Radice and   
            Giampiero Marra and   
           Ma\lgorzata Wojty\'s   Copula regression spline models for
                                  binary outcomes  . . . . . . . . . . . . 981--995
                Xingyu Tang and   
                      Heng Lian   Mean and quantile boosting for partially
                                  linear additive models . . . . . . . . . 997--1008
        Tore Selland Kleppe and   
                  Hans J. Skaug   Bandwidth selection in pre-smoothed
                                  particle filters . . . . . . . . . . . . 1009--1024
        Giuliano Galimberti and   
             Elena Scardovi and   
             Gabriele Soffritti   Using mixtures in seemingly unrelated
                                  linear regression models with non-normal
                                  errors . . . . . . . . . . . . . . . . . 1025--1038
               Gerhard Tutz and   
                   Dominik Koch   Improved nearest neighbor classifiers by
                                  weighting and selection of predictors    1039--1057
           Andre Beinrucker and   
       Ürün Dogan and   
               Gilles Blanchard   Extensions of stability selection using
                                  subsamples of observations and
                                  covariates . . . . . . . . . . . . . . . 1059--1077
           Ioannis Kosmidis and   
                Dimitris Karlis   Model-based clustering using copulas
                                  with applications  . . . . . . . . . . . 1079--1099
           David P. Hofmeyr and   
          Nicos G. Pavlidis and   
                Idris A. Eckley   Divisive clustering of high dimensional
                                  data streams . . . . . . . . . . . . . . 1101--1120
               J. M. McGree and   
             C. C. Drovandi and   
                   G. White and   
                  A. N. Pettitt   A pseudo-marginal sequential Monte Carlo
                                  algorithm for random effects models in
                                  Bayesian sequential design . . . . . . . 1121--1136

Statistics and Computing
Volume 26, Number 6, November, 2016

          Michael A. Spence and   
              Paul G. Blackwell   Coupling random inputs for parameter
                                  estimation in complex models . . . . . . 1137--1146
          Nicholas A. Heard and   
         Melissa J. M. Turcotte   Convergence of Monte Carlo distribution
                                  estimates from rival samplers  . . . . . 1147--1161
                 C. Tommasi and   
R. Martín-Martín and   
        J. López-Fidalgo   Max-min optimal discriminating designs
                                  for several statistical models . . . . . 1163--1172
            Pierre Latouche and   
          Stéphane Robin   Variational Bayes model averaging for
                                  graphon functions and motif frequencies
                                  inference in $W$-graph models  . . . . . 1173--1185
        F. J. Medina-Aguayo and   
                     A. Lee and   
                  G. O. Roberts   Stability of noisy Metropolis--Hastings  1187--1211
                 Joris Bierkens   Non-reversible Metropolis--Hastings  . . 1213--1228
               Eric Schmitt and   
                   Kaveh Vakili   The FastHCS algorithm for robust PCA . . 1229--1242
            Linda S. L. Tan and   
           Victor M. H. Ong and   
              David J. Nott and   
                     Ajay Jasra   Variational inference for sparse
                                  spectrum Gaussian process regression . . 1243--1261
       Wagner Barreto-Souza and   
             Alexandre B. Simas   General mixed Poisson regression models
                                  with varying dispersion  . . . . . . . . 1263--1280
          Benjamin M. Gyori and   
                  Daniel Paulin   Hypothesis testing for Markov chain
                                  Monte Carlo  . . . . . . . . . . . . . . 1281--1292
             Paul Fearnhead and   
           Loukia Meligkotsidou   Augmentation schemes for particle MCMC   1293--1306
              Arthur Pewsey and   
                     Shogo Kato   Parametric bootstrap goodness-of-fit
                                  testing for Wehrly--Johnson bivariate
                                  circular distributions . . . . . . . . . 1307--1317
            Nathaniel E. Helwig   Efficient estimation of variance
                                  components in nonparametric
                                  mixed-effects models with large samples  1319--1336


Statistics and Computing
Volume 27, Number 1, January, 2017

                      Anonymous   Editor's note: special section on
                                  Bayesian Nonparametrics  . . . . . . . . 1--1
               Julyan Arbel and   
             Igor Prünster   A moment-matching Ferguson & Klass
                                  algorithm  . . . . . . . . . . . . . . . 3--17
             Sanmitra Ghosh and   
     Srinandan Dasmahapatra and   
              Koushik Maharatna   Fast approximate Bayesian computation
                                  for estimating parameters in
                                  differential equations . . . . . . . . . 19--38
        William Cipolli III and   
                 Timothy Hanson   Computationally tractable approximate
                                  and smoothed Pólya trees  . . . . . . . . 39--51
        William Cipolli III and   
                 Timothy Hanson   Erratum to: Computationally tractable
                                  approximate and smoothed Pólya trees  . . 53--53
          Eugen Pircalabelu and   
            Gerda Claeskens and   
                Ir\`ene Gijbels   Copula directed acyclic graphs . . . . . 55--78
             Leo N. Geppert and   
             Katja Ickstadt and   
         Alexander Munteanu and   
            Jens Quedenfeld and   
               Christian Sohler   Random projections for Bayesian
                                  regression . . . . . . . . . . . . . . . 79--101
                   Tao Wang and   
         Xuerong Meggie Wen and   
                     Lixing Zhu   Multiple-population shrinkage estimation
                                  via sliced inverse regression  . . . . . 103--114
              Tomi Janhunen and   
              Martin Gebser and   
             Jussi Rintanen and   
               Henrik Nyman and   
               Johan Pensar and   
                 Jukka Corander   Learning discrete decomposable graphical
                                  models via constraint optimization . . . 115--130
                  J. E. Griffin   Sequential Monte Carlo methods for
                                  mixtures with normalized random measures
                                  with independent increments priors . . . 131--145
              Gersende Fort and   
          Benjamin Jourdain and   
            Tony Leli\`evre and   
                 Gabriel Stoltz   Self-healing umbrella sampling:
                                  convergence and efficiency . . . . . . . 147--168
    Jean-Michel Bécu and   
            Yves Grandvalet and   
        Christophe Ambroise and   
                 Cyril Dalmasso   Beyond support in two-stage variable
                                  selection  . . . . . . . . . . . . . . . 169--179
                  Ting Yuan and   
                    Junhui Wang   Reduced-rank multi-label classification  181--191
       J. M. Alonso-Revenga and   
           N. Martín and   
                       L. Pardo   New improved estimators for
                                  overdispersion in models with clustered
                                  multinomial data and unequal cluster
                                  sizes  . . . . . . . . . . . . . . . . . 193--217
          Clément Walter   Point process-based Monte Carlo
                                  estimation . . . . . . . . . . . . . . . 219--236
                Linda S. L. Tan   Stochastic variational inference for
                                  large-scale discrete choice models using
                                  adaptive batch sizes . . . . . . . . . . 237--257
            Roland Langrock and   
               Thomas Kneib and   
            Richard Glennie and   
           Théo Michelot   Markov-switching generalized additive
                                  models . . . . . . . . . . . . . . . . . 259--270
      Linda Schulze Waltrup and   
           Göran Kauermann   Smooth expectiles for panel data using
                                  penalized splines  . . . . . . . . . . . 271--282
            Francesco Donat and   
                Giampiero Marra   Semi-parametric bivariate polychotomous
                                  ordinal regression . . . . . . . . . . . 283--299

Statistics and Computing
Volume 27, Number 2, March, 2017

           Marie Lilleborge and   
                     Jo Eidsvik   Efficient designs for Bayesian networks
                                  with sub-tree bounds . . . . . . . . . . 301--318
       François Wahl and   
    Cécile Mercadier and   
          Céline Helbert   A standardized distance-based index to
                                  assess the quality of space-filling
                                  designs  . . . . . . . . . . . . . . . . 319--329
              Osnat Stramer and   
                Xiaoyu Shen and   
                 Matthew Bognar   Bayesian inference for Heston--STAR
                                  models . . . . . . . . . . . . . . . . . 331--348
         Stella Hadjiantoni and   
    Erricos John Kontoghiorghes   Estimating large-scale general linear
                                  and seemingly unrelated regressions
                                  models after deleting observations . . . 349--361
          Matthias Katzfuss and   
               Dorit Hammerling   Parallel inference for massive
                                  distributed spatial data using low-rank
                                  models . . . . . . . . . . . . . . . . . 363--375
L. A. García-Escudero and   
               A. Gordaliza and   
                F. Greselin and   
               S. Ingrassia and   
                  A. Mayo-Iscar   Robust estimation of mixtures of
                                  regressions with random covariates, via
                                  trimming and constraints . . . . . . . . 377--402
         Richard G. Everitt and   
           Adam M. Johansen and   
               Ellen Rowing and   
           Melina Evdemon-Hogan   Bayesian model comparison with
                                  un-normalised likelihoods  . . . . . . . 403--422
                Yongtao Cao and   
           Byran J. Smucker and   
            Timothy J. Robinson   A hybrid elitist pareto-based coordinate
                                  exchange algorithm for constructing
                                  multi-criteria optimal experimental
                                  designs  . . . . . . . . . . . . . . . . 423--437
              Stephen G. Walker   A Laplace transform inversion method for
                                  probability distribution functions . . . 439--448
       Fadlalla G. Elfadaly and   
             Paul H. Garthwaite   Eliciting Dirichlet and Gaussian copula
                                  prior distributions for multinomial
                                  models . . . . . . . . . . . . . . . . . 449--467
            Matteo Borrotti and   
            Francesco Sambo and   
            Kalliopi Mylona and   
                 Steven Gilmour   A multi-objective coordinate-exchange
                                  two-phase local search algorithm for
                                  multi-stratum experiments  . . . . . . . 469--481
               Sy Han Chiou and   
                     Gongjun Xu   Rank-based estimation for semiparametric
                                  accelerated failure time model under
                                  length-biased sampling . . . . . . . . . 483--500
           Vincent Audigier and   
     François Husson and   
                    Julie Josse   MIMCA: multiple imputation for
                                  categorical variables with multiple
                                  correspondence analysis  . . . . . . . . 501--518
           Robert Maidstone and   
               Toby Hocking and   
            Guillem Rigaill and   
                 Paul Fearnhead   On optimal multiple changepoint
                                  algorithms for large data  . . . . . . . 519--533
             Guosheng Cheng and   
               Xingxiang Li and   
                   Peng Lai and   
                Fengli Song and   
                         Jun Yu   Robust rank screening for ultrahigh
                                  dimensional discriminant analysis  . . . 535--545
               Marco Alf\`o and   
             Nicola Salvati and   
           M. Giovanna Ranallli   Finite mixtures of quantile and
                                  $M$-quantile regression models . . . . . 547--570
                     Yan Yu and   
               Chaojiang Wu and   
                  Yuankun Zhang   Penalised spline estimation for
                                  generalised partially linear
                                  single-index models  . . . . . . . . . . 571--582

Statistics and Computing
Volume 27, Number 3, May, 2017

                 Luke Bornn and   
           Natesh S. Pillai and   
                Aaron Smith and   
                   Dawn Woodard   The use of a single pseudo-sample in
                                  approximate Bayesian computation . . . . 583--590
              Vahed Maroufy and   
                  Paul Marriott   Mixture models: building a parameter
                                  space  . . . . . . . . . . . . . . . . . 591--597
                 L. Martino and   
                  V. Elvira and   
                  D. Luengo and   
                    J. Corander   Layered adaptive importance sampling . . 599--623
              Sergio Amaral and   
            Douglas Allaire and   
                  Karen Willcox   Optimal $ L_2 $-norm empirical
                                  importance weights for the change of
                                  probability measure  . . . . . . . . . . 625--643
              Elvira Romano and   
         Antonio Balzanella and   
                  Rosanna Verde   Spatial variability clustering for
                                  spatially dependent functional data  . . 645--658
        Baptiste Gregorutti and   
            Bertrand Michel and   
          Philippe Saint-Pierre   Correlation and variable importance in
                                  random forests . . . . . . . . . . . . . 659--678
              Sarat C. Dass and   
                Jaeyong Lee and   
              Kyoungjae Lee and   
                   Jonghun Park   Laplace based approximate posterior
                                  inference for differential equation
                                  models . . . . . . . . . . . . . . . . . 679--698
                Luc Devroye and   
                  Claude Gravel   The expected bit complexity of the von
                                  Neumann rejection algorithm  . . . . . . 699--710
              Juho Piironen and   
                    Aki Vehtari   Comparison of Bayesian predictive
                                  methods for model selection  . . . . . . 711--735
             Petter Arnesen and   
         Håkon Tjelmeland   Prior specification of neighbourhood and
                                  interaction structure in binary Markov
                                  random fields  . . . . . . . . . . . . . 737--756
Jérémy Magnanensi and   
Frédéric Bertrand and   
      Myriam Maumy-Bertrand and   
                  Nicolas Meyer   A new universal resample-stable
                                  bootstrap-based stopping criterion for
                                  PLS component construction . . . . . . . 757--774
       Christine M. O'Keefe and   
                   Tim Ayre and   
            Sebastien Lucie and   
             Atikur R. Khan and   
                Soomin Song and   
                   Soonmin Kwon   Perturbed robust linear estimating
                                  equations for confidentiality protection
                                  in remote analysis . . . . . . . . . . . 775--787
             Julien Chiquet and   
         Tristan Mary-Huard and   
          Stéphane Robin   Structured regularization for
                                  conditional Gaussian graphical models    789--804
Félix Camirand Lemyre and   
    Jean-François Quessy   Multiplier bootstrap methods for
                                  conditional distributions  . . . . . . . 805--821
                 Axel Gandy and   
                     Georg Hahn   QuickMMCTest: quick multiple Monte Carlo
                                  testing  . . . . . . . . . . . . . . . . 823--832
                   N. Friel and   
              J. P. McKeone and   
                C. J. Oates and   
                  A. N. Pettitt   Investigation of the widely applicable
                                  Bayesian information criterion . . . . . 833--844
     Mercedes Esteban-Bravo and   
          Agata Leszkiewicz and   
             Jose M. Vidal-Sanz   Exact optimal experimental designs with
                                  constraints  . . . . . . . . . . . . . . 845--863

Statistics and Computing
Volume 27, Number 4, July, 2017

           Abdallah Mkhadri and   
          Mohamed Ouhourane and   
                Karim Oualkacha   A coordinate descent algorithm for
                                  computing penalized smooth quantile
                                  regression . . . . . . . . . . . . . . . 865--883
          Gavin A. Whitaker and   
           Andrew Golightly and   
            Richard J. Boys and   
                 Chris Sherlock   Improved bridge constructs for
                                  stochastic differential equations  . . . 885--900
                Houying Zhu and   
                     Josef Dick   A discrepancy bound for deterministic
                                  acceptance-rejection samplers beyond $
                                  N^{-1 / 2} $ in dimension $1$  . . . . . 901--911
            Sarah Brockhaus and   
            Michael Melcher and   
           Friedrich Leisch and   
                   Sonja Greven   Boosting flexible functional regression
                                  models with a high number of functional
                                  historical effects . . . . . . . . . . . 913--926
       Georgios Karagiannis and   
           Bledar A. Konomi and   
                  Guang Lin and   
                   Faming Liang   Parallel and interacting stochastic
                                  approximation annealing algorithms for
                                  global optimisation  . . . . . . . . . . 927--945
               Tingyou Zhou and   
                     Liping Zhu   Model-free feature screening for
                                  ultrahigh dimensional censored
                                  regression . . . . . . . . . . . . . . . 947--961
           Sonia Migliorati and   
              Andrea Ongaro and   
                Gianna S. Monti   A structured Dirichlet mixture model for
                                  compositional data: inferential and
                                  applicative issues . . . . . . . . . . . 963--983
                  Simon N. Wood   P-splines with derivative based
                                  penalties and tensor product smoothing
                                  of unevenly distributed data . . . . . . 985--989
       Anastasis Georgoulas and   
              Jane Hillston and   
              Guido Sanguinetti   Unbiased Bayesian inference for
                                  population Markov jump processes via
                                  random truncations . . . . . . . . . . . 991--1002
            Andrej Aderhold and   
              Dirk Husmeier and   
              Marco Grzegorczyk   Approximate Bayesian inference in
                                  semi-mechanistic models  . . . . . . . . 1003--1040
               Chun Yip Yau and   
                  Tsz Shing Hui   LARS-type algorithm for group lasso  . . 1041--1048
            Matthieu Marbac and   
                 Mohammed Sedki   Variable selection for model-based
                                  clustering using the integrated
                                  complete-data likelihood . . . . . . . . 1049--1063
          Patrick R. Conrad and   
              Mark Girolami and   
      Simo Särkkä and   
              Andrew Stuart and   
         Konstantinos Zygalakis   Statistical analysis of differential
                                  equations: introducing probability
                                  measures on numerical solutions  . . . . 1065--1082
       Thomas Muehlenstaedt and   
                 Jana Fruth and   
               Olivier Roustant   Computer experiments with functional
                                  inputs and scalar outputs by a
                                  norm-based approach  . . . . . . . . . . 1083--1097
   Bráulio M. Veloso and   
            Thais R. Correa and   
           Marcos O. Prates and   
        Gabriel F. Oliveira and   
       Andréa I. Tavares   MAD--STEC: a method for multiple
                                  automatic detection of space-time
                                  emerging clusters  . . . . . . . . . . . 1099--1110
           Pierre Barbillon and   
Célia Barthélémy and   
                 Adeline Samson   Parameter estimation of complex mixed
                                  models based on meta-model approach  . . 1111--1128
            Sarah L. Taylor and   
            Idris A. Eckley and   
               Matthew A. Nunes   Multivariate locally stationary $2$D
                                  wavelet processes with application to
                                  colour texture analysis  . . . . . . . . 1129--1143

Statistics and Computing
Volume 27, Number 5, September, 2017

           Charlotte Laclau and   
                  Mohamed Nadif   Diagonal latent block model for binary
                                  data . . . . . . . . . . . . . . . . . . 1145--1163
            Silia Vitoratou and   
              Ioannis Ntzoufras   Thermodynamic Bayesian model comparison  1165--1180
               Lu-Hung Chen and   
                   Ci-Ren Jiang   Multi-dimensional functional principal
                                  component analysis . . . . . . . . . . . 1181--1192
                  Xuehu Zhu and   
                     Xu Guo and   
                     Lixing Zhu   An adaptive-to-model test for partially
                                  parametric single-index models . . . . . 1193--1204
         Finale Doshi-Velez and   
           Sinead A. Williamson   Restricted Indian buffet processes . . . 1205--1223
             Radu S. Stoica and   
              Anne Philippe and   
              Pablo Gregori and   
                    Jorge Mateu   ABC Shadow algorithm: a tool for
                                  statistical analysis of spatial patterns 1225--1238
      Tomás Mrkvicka and   
        Mari Myllymäki and   
                       Ute Hahn   Multiple Monte Carlo testing, with
                                  applications in spatial point processes  1239--1255
           Dean A. Bodenham and   
                 Niall M. Adams   Continuous monitoring for changepoints
                                  in data streams using adaptive
                                  estimation . . . . . . . . . . . . . . . 1257--1270
      Haakon Michael Austad and   
         Håkon Tjelmeland   Approximate computations for binary
                                  Markov random fields and their use in
                                  Bayesian models  . . . . . . . . . . . . 1271--1292
              Kaylea Haynes and   
             Paul Fearnhead and   
                Idris A. Eckley   A computationally efficient
                                  nonparametric approach for changepoint
                                  detection  . . . . . . . . . . . . . . . 1293--1305
             Mathieu Cambou and   
              Marius Hofert and   
             Christiane Lemieux   Quasi-random numbers for copula models   1307--1329
               L. Schwaller and   
                       S. Robin   Exact Bayesian inference for off-line
                                  change-point detection in
                                  tree-structured graphical models . . . . 1331--1345
              Shanshan Wang and   
                   Liming Xiang   Penalized empirical likelihood inference
                                  for sparse additive hazards regression
                                  with a diverging number of covariates    1347--1364
Guillermo Julián-Moreno and   
Jorge E. López de Vergara and   
Iván González and   
              Luis de Pedro and   
     Javier Royuela-del-Val and   
   Federico Simmross-Wattenberg   Fast parallel $ \alpha $-stable
                                  distribution function evaluation and
                                  parameter estimation using OpenCL in
                                  GPGPUs . . . . . . . . . . . . . . . . . 1365--1382
             Maarten Jansen and   
                 Mohamed Amghar   Multiscale local polynomial
                                  decompositions using bandwidths as
                                  scales . . . . . . . . . . . . . . . . . 1383--1399
               Bingqing Lin and   
                 Qihua Wang and   
                  Jun Zhang and   
                      Zhen Pang   Stable prediction in high-dimensional
                                  linear models  . . . . . . . . . . . . . 1401--1412
                Aki Vehtari and   
              Andrew Gelman and   
                    Jonah Gabry   Practical Bayesian model evaluation
                                  using leave-one-out cross-validation and
                                  WAIC . . . . . . . . . . . . . . . . . . 1413--1432
                Aki Vehtari and   
              Andrew Gelman and   
                    Jonah Gabry   Erratum to: Practical Bayesian model
                                  evaluation using leave-one-out
                                  cross-validation and WAIC  . . . . . . . 1433--1433

Statistics and Computing
Volume 27, Number 6, November, 2017

                Brian Bader and   
                    Jun Yan and   
                   Xuebin Zhang   Automated selection of $r$ for the $r$
                                  largest order statistics approach with
                                  adjustment for sequential testing  . . . 1435--1451
           Marina I. Knight and   
               Guy P. Nason and   
               Matthew A. Nunes   A wavelet lifting approach to
                                  long-memory estimation . . . . . . . . . 1453--1471
                Cheng Zhang and   
             Babak Shahbaba and   
                   Hongkai Zhao   Hamiltonian Monte Carlo acceleration
                                  using surrogate functions with random
                                  bases  . . . . . . . . . . . . . . . . . 1473--1490
               Mark R. Bass and   
                  Sujit K. Sahu   A comparison of centring
                                  parameterisations of Gaussian
                                  process-based models for Bayesian
                                  computation using MCMC . . . . . . . . . 1491--1512
            Nino Kordzakhia and   
          Alexander Novikov and   
                  Bernard Ycart   Approximations for weighted
                                  Kolmogorov--Smirnov distributions via
                                  boundary crossing probabilities  . . . . 1513--1523
              Maria DeYoreo and   
              Athanasios Kottas   A Bayesian nonparametric Markovian model
                                  for non-stationary time series . . . . . 1525--1538
         Elisabeth Waldmann and   
             Fabian Sobotka and   
                   Thomas Kneib   Bayesian regularisation in geoadditive
                                  expectile regression . . . . . . . . . . 1539--1553
          Matthew M. Dunlop and   
          Marco A. Iglesias and   
               Andrew M. Stuart   Hierarchical Bayesian level set
                                  inversion  . . . . . . . . . . . . . . . 1555--1584
               Andrew C. Titman   Non-parametric maximum likelihood
                                  estimation of interval-censored failure
                                  time data subject to misclassification   1585--1593
         Håkon Otneim and   
           Dag Tjòstheim   The locally Gaussian density estimator
                                  for multivariate data  . . . . . . . . . 1595--1616
          Allou Samé and   
          Gérard Govaert   Segmental dynamic factor analysis for
                                  time series of curves  . . . . . . . . . 1617--1637
                  Chong Liu and   
                Surajit Ray and   
                   Giles Hooker   Functional principal component analysis
                                  of spatially correlated data . . . . . . 1639--1654
            B. Pérez and   
                  I. Molina and   
                 A. Thieler and   
                   R. Fried and   
                 D. Peña   Fast and robust estimators of variance
                                  components in the nested error model . . 1655--1675
                 Dao Nguyen and   
              Edward L. Ionides   A second-order iterated smoothing
                                  algorithm  . . . . . . . . . . . . . . . 1677--1692


Statistics and Computing
Volume 28, Number 1, January, 2018

                  Han Lin Shang   Bootstrap methods for stationary
                                  functional time series . . . . . . . . . 1--10
               C. Bouveyron and   
                P. Latouche and   
                       R. Zreik   The stochastic topic block model for the
                                  clustering of vertices in networks with
                                  textual edges  . . . . . . . . . . . . . 11--31
                   Tao Wang and   
               Mengjie Chen and   
                Hongyu Zhao and   
                     Lixing Zhu   Estimating a sparse reduction for
                                  general regression in high dimensions    33--46
                 Ajay Jasra and   
             Kengo Kamatani and   
         Prince Peprah Osei and   
                       Yan Zhou   Multilevel particle filters: normalizing
                                  constant estimation  . . . . . . . . . . 47--60
          Nadhir Ben Rached and   
           Fatma Benkhelifa and   
               Abla Kammoun and   
       Mohamed-Slim Alouini and   
                   Raul Tempone   On the generalization of the hazard rate
                                  twisting-based simulation approach . . . 61--75
               Giles Hooker and   
                   Lucas Mentch   Bootstrap bias corrections for ensemble
                                  methods  . . . . . . . . . . . . . . . . 77--86
          Robert Richardson and   
          Athanasios Kottas and   
             Bruno Sansó   Bayesian non-parametric modeling for
                                  integro-difference equations . . . . . . 87--101
           Sera Aylin Cakiroglu   Optimal regular graph designs  . . . . . 103--112
                Qinyi Zhang and   
              Sarah Filippi and   
             Arthur Gretton and   
                Dino Sejdinovic   Large-scale kernel methods for
                                  independence testing . . . . . . . . . . 113--130
               Jere Koskela and   
              Dario Span\`o and   
                Paul A. Jenkins   Inference and rare event simulation for
                                  stopped Markov processes via
                                  reverse-time sequential Monte Carlo  . . 131--144
        Giuliano Galimberti and   
           Annamaria Manisi and   
             Gabriele Soffritti   Modelling the role of variables in
                                  model-based cluster analysis . . . . . . 145--169
            Sebastian Ament and   
                 Michael O'Neil   Accurate and efficient numerical
                                  calculation of stable densities via
                                  optimized quadrature and asymptotics . . 171--185
                  Yong Wang and   
                   Shabnam Fani   Nonparametric maximum likelihood
                                  computation of a $U$-shaped hazard
                                  function . . . . . . . . . . . . . . . . 187--200
      Alberto Gascón and   
Eugenio F. Sánchez-Úbeda   Automatic specification of piecewise
                                  linear additive models: application to
                                  forecasting natural gas demand . . . . . 201--217
                 Mimi Zhang and   
                    Tim Bedford   Vine copula approximation: a generic
                                  method for coping with conditional
                                  dependence . . . . . . . . . . . . . . . 219--237
        F. J. Medina-Aguayo and   
                     A. Lee and   
                  G. O. Roberts   Erratum to: Stability of noisy
                                  Metropolis--Hastings . . . . . . . . . . 239--239

Statistics and Computing
Volume 28, Number 2, March, 2018

               Douglas P. Wiens   I-robust and D-robust designs on a
                                  finite design space  . . . . . . . . . . 241--258
            Linda S. L. Tan and   
                  David J. Nott   Gaussian variational approximation with
                                  sparse precision matrices  . . . . . . . 259--275
        Benedict Leimkuhler and   
           Charles Matthews and   
                 Jonathan Weare   Ensemble preconditioning for Markov
                                  chain Monte Carlo simulation . . . . . . 277--290
                Ben Norwood and   
                Rebecca Killick   Long memory and changepoint models: a
                                  spectral classification procedure  . . . 291--302
         Håkon Otneim and   
           Dag Tjòstheim   Conditional density estimation using the
                                  local Gaussian correlation . . . . . . . 303--321
         Matthias Killiches and   
               Daniel Kraus and   
                  Claudia Czado   Model distances for vine copulas in high
                                  dimensions . . . . . . . . . . . . . . . 323--341
        Antony M. Overstall and   
            James M. McGree and   
        Christopher C. Drovandi   An approach for finding fully Bayesian
                                  optimal designs using normal-based
                                  approximations to loss functions . . . . 343--358
                 Lucia Paci and   
              Francesco Finazzi   Dynamic model-based clustering for
                                  spatio-temporal data . . . . . . . . . . 359--374
              Russell B. Millar   Conditional vs marginal estimation of
                                  the predictive loss of hierarchical
                                  models using WAIC and cross-validation   375--385
       Christian Schellhase and   
                 Fabian Spanhel   Estimating non-simplified vine copulas
                                  using penalized splines  . . . . . . . . 387--409
         Michael U. Gutmann and   
            Ritabrata Dutta and   
               Samuel Kaski and   
                 Jukka Corander   Likelihood-free inference via
                                  classification . . . . . . . . . . . . . 411--425
        Ferran Espuny-Pujol and   
            Karyn Morrissey and   
                Paul Williamson   A global optimisation approach to
                                  range-restricted survey calibration  . . 427--439
       Belmiro P. M. Duarte and   
              Weng Kee Wong and   
                   Holger Dette   Adaptive grid semidefinite programming
                                  for finding optimal designs  . . . . . . 441--460
              Deborshee Sen and   
        Alexandre H. Thiery and   
                     Ajay Jasra   On coupling particle filter trajectories 461--475
            Francesco Dotto and   
          Alessio Farcomeni and   
Luis Angel García-Escudero and   
      Agustín Mayo-Iscar   A reweighting approach to robust
                                  clustering . . . . . . . . . . . . . . . 477--493

Statistics and Computing
Volume 28, Number 3, May, 2018

                  Lan Jiang and   
             Sumeetpal S. Singh   Tracking multiple moving objects in
                                  images using Markov Chain Monte Carlo    495--510
                   Luo Xiao and   
                     Cai Li and   
           William Checkley and   
            Ciprian Crainiceanu   Fast covariance estimation for sparse
                                  functional data  . . . . . . . . . . . . 511--522
                   Luo Xiao and   
                     Cai Li and   
           William Checkley and   
            Ciprian Crainiceanu   Erratum to: Fast covariance estimation
                                  for sparse functional data . . . . . . . 523--523
            Sabrina Vettori and   
         Raphaël Huser and   
                 Marc G. Genton   A comparison of dependence function
                                  estimators in multivariate extremes  . . 525--538
                 David Hand and   
                 Peter Christen   A note on using the $F$-measure for
                                  evaluating record linkage algorithms . . 539--547
             Matteo Fasiolo and   
 Flávio Eler de Melo and   
                  Simon Maskell   Langevin incremental mixture importance
                                  sampling . . . . . . . . . . . . . . . . 549--561
               Alexey Lindo and   
               Sergei Zuyev and   
                  Serik Sagitov   Nonparametric estimation for compound
                                  Poisson process via variational analysis
                                  on measures  . . . . . . . . . . . . . . 563--577
              E. Charitidou and   
               D. Fouskakis and   
                   I. Ntzoufras   Objective Bayesian transformation and
                                  variable selection using default Bayes
                                  factors  . . . . . . . . . . . . . . . . 579--594
    Charalampos Chanialidis and   
               Ludger Evers and   
           Tereza Neocleous and   
                Agostino Nobile   Efficient Bayesian inference for
                                  COM--Poisson regression models . . . . . 595--608
                Daniel W. Meyer   Density estimation with distribution
                                  element trees  . . . . . . . . . . . . . 609--632
                 Rohan Shah and   
                 Dirk P. Kroese   Without-replacement sampling for
                                  particle methods on finite state spaces  633--652
     François Kamper and   
          Johan A. du Preez and   
             Sarel J. Steel and   
                 Stephan Wagner   Regularized Gaussian belief propagation  653--672
               Janek Thomas and   
               Andreas Mayr and   
               Bernd Bischl and   
            Matthias Schmid and   
                 Adam Smith and   
                Benjamin Hofner   Gradient boosting for distributional
                                  regression: faster tuning and improved
                                  variable selection via noncyclical
                                  updates  . . . . . . . . . . . . . . . . 673--687
                P. J. Paine and   
              S. P. Preston and   
                 M. Tsagris and   
              Andrew T. A. Wood   An elliptically symmetric angular
                                  Gaussian distribution  . . . . . . . . . 689--697
              Zhi-Yong Chen and   
                   Hai-Bin Wang   Latent single-index models for ordinal
                                  data . . . . . . . . . . . . . . . . . . 699--711
                Yunlong Nie and   
            Liangliang Wang and   
                 Baisen Liu and   
                      Jiguo Cao   Supervised functional principal
                                  component analysis . . . . . . . . . . . 713--723

Statistics and Computing
Volume 28, Number 4, July, 2018

Lluís Antoni Jiménez Rugama and   
                Laurent Gilquin   Reliable error estimation for Sobol'
                                  indices  . . . . . . . . . . . . . . . . 725--738
         Erin R. Leatherman and   
          Thomas J. Santner and   
                 Angela M. Dean   Computer experiment designs for accurate
                                  prediction . . . . . . . . . . . . . . . 739--751
              Hassan Pazira and   
           Luigi Augugliaro and   
                      Ernst Wit   Extended differential geometric LARS for
                                  high-dimensional GLMs with general
                                  dispersion parameter . . . . . . . . . . 753--774
               Junlong Zhao and   
                Hongyu Zhao and   
                     Lixing Zhu   Pivotal variable detection of the
                                  covariance matrix and its application to
                                  high-dimensional factor models . . . . . 775--793
            Tore Selland Kleppe   Modified Cholesky Riemann Manifold
                                  Hamiltonian Monte Carlo: exploiting
                                  sparsity for fast sampling of
                                  high-dimensional targets . . . . . . . . 795--817
             Dennis Prangle and   
         Richard G. Everitt and   
              Theodore Kypraios   A rare event approach to
                                  high-dimensional approximate Bayesian
                                  computation  . . . . . . . . . . . . . . 819--834
                    A. Kume and   
                         T. Sei   On the exact maximum likelihood
                                  inference of Fisher--Bingham
                                  distributions using an adjusted
                                  holonomic gradient method  . . . . . . . 835--847
          Didier Rulli\`ere and   
           Nicolas Durrande and   
     François Bachoc and   
       Clément Chevalier   Nested Kriging predictions for datasets
                                  with a large number of observations  . . 849--867
   Belinda Hernández and   
          Adrian E. Raftery and   
      Stephen R. Pennington and   
              Andrew C. Parnell   Bayesian Additive Regression Trees using
                                  Bayesian model averaging . . . . . . . . 869--890
                Clement Lee and   
             Andrew Garbett and   
            Darren J. Wilkinson   A network epidemic model for online
                                  community commissioning data . . . . . . 891--904
            Magali Champion and   
             Victor Picheny and   
                Matthieu Vignes   Inferring large graphs using $ \ell_1
                                  $-penalized likelihood . . . . . . . . . 905--921
      Abdul-Lateef Haji-Ali and   
            Raúl Tempone   Multilevel and Multi-index Monte Carlo
                                  methods for the McKean--Vlasov equation  923--935
           Tilman M. Davies and   
                Adrian Baddeley   Fast computation of spatially adaptive
                                  kernel estimates . . . . . . . . . . . . 937--956
             Leonardo Egidi and   
          Roberta Pappad\`a and   
            Francesco Pauli and   
                 Nicola Torelli   Relabelling in Bayesian mixture models
                                  by pivotal units . . . . . . . . . . . . 957--969
           Victor M. H. Ong and   
              David J. Nott and   
             Minh-Ngoc Tran and   
            Scott A. Sisson and   
        Christopher C. Drovandi   Variational Bayes with synthetic
                                  likelihood . . . . . . . . . . . . . . . 971--988

Statistics and Computing
Volume 28, Number 5, September, 2018

              Marco Corneli and   
            Pierre Latouche and   
                  Fabrice Rossi   Multiple change points detection and
                                  clustering in dynamic networks . . . . . 989--1007
            Garritt L. Page and   
           Fernando A. Quintana   Calibrating covariate informed product
                                  partition models . . . . . . . . . . . . 1009--1031
Virgilio Gómez-Rubio and   
               Håvard Rue   Markov chain Monte Carlo with the
                                  Integrated Nested Laplace Approximation  1033--1051
          Maria Myrto Folia and   
                 Magnus Rattray   Trajectory inference and parameter
                                  estimation in stochastic models with
                                  temporally aggregated data . . . . . . . 1053--1072
                Shihao Yang and   
                  Yang Chen and   
              Espen Bernton and   
                     Jun S. Liu   On parallelizable Markov chain Monte
                                  Carlo algorithms with waste-recycling    1073--1081
                   Xin Wang and   
            Vivekananda Roy and   
                  Zhengyuan Zhu   A new algorithm to estimate monotone
                                  nonparametric link functions and a
                                  comparison with parametric approach  . . 1083--1094
                Fanghu Dong and   
                   Guosheng Yin   Maximum likelihood estimation for
                                  incomplete multinomial data via the
                                  weaver algorithm . . . . . . . . . . . . 1095--1117

Statistics and Computing
Volume 28, Number 6, November, 2018

               Jonathan Law and   
            Darren J. Wilkinson   Composable models for online Bayesian
                                  analysis of streaming data . . . . . . . 1119--1137
            J. D. B. Nelson and   
              A. J. Gibberd and   
               C. Nafornita and   
                   N. Kingsbury   The locally stationary dual-tree complex
                                  wavelet model  . . . . . . . . . . . . . 1139--1154
Frédéric J. P. Richard   Anisotropy of Hölder Gaussian random
                                  fields: characterization, estimation,
                                  and application to image textures  . . . 1155--1168
          Riccardo Rastelli and   
                     Nial Friel   Optimal Bayesian estimators for latent
                                  variable cluster models  . . . . . . . . 1169--1186
                 Iker Perez and   
                David Hodge and   
              Theodore Kypraios   Auxiliary variables for Bayesian
                                  inference in multi-class queueing
                                  networks . . . . . . . . . . . . . . . . 1187--1200
             Matthew Ludkin and   
               Idris Eckley and   
                     Peter Neal   Dynamic stochastic block models:
                                  parameter estimation and detection of
                                  changes in community structure . . . . . 1201--1213
           Andrew Golightly and   
              Theodore Kypraios   Efficient SMC$^2$ schemes for stochastic
                                  kinetic models . . . . . . . . . . . . . 1215--1230
            Magali Champion and   
             Victor Picheny and   
                Matthieu Vignes   Correction to: Inferring large graphs
                                  using $ \ell_1$-penalized likelihood . . 1231--1231


Statistics and Computing
Volume 29, Number 1, January, 2019

Eduardo García-Portugués and   
    Michael Sòrensen and   
            Kanti V. Mardia and   
               Thomas Hamelryck   Langevin diffusions on the torus:
                                  estimation and applications  . . . . . . 1--22
                Jingnan Xue and   
                   Faming Liang   Double-Parallel Monte Carlo for Bayesian
                                  analysis of big data . . . . . . . . . . 23--32
                     Lin Su and   
              Howard D. Bondell   Best linear estimation via minimization
                                  of relative mean squared error . . . . . 33--42
              Cinzia Viroli and   
          Geoffrey J. McLachlan   Deep Gaussian mixture models . . . . . . 43--51
                 Zhijian He and   
                  Lingjiong Zhu   Asymptotic normality of extensible grid
                                  sampling . . . . . . . . . . . . . . . . 53--65
         Matthew C. Edwards and   
               Renate Meyer and   
             Nelson Christensen   Bayesian nonparametric spectral density
                                  estimation using B-spline priors . . . . 67--78
              Joshua J. Bon and   
               Kevin Murray and   
              Berwin A. Turlach   Fitting monotone polynomials in mixed
                                  effects models . . . . . . . . . . . . . 79--98
            Michael Schober and   
      Simo Särkkä and   
                 Philipp Hennig   A probabilistic model for the numerical
                                  solution of initial value problems . . . 99--122
              Elmar Spiegel and   
               Thomas Kneib and   
            Fabian Otto-Sobotka   Generalized additive models with
                                  flexible response functions  . . . . . . 123--138
              E. del Barrio and   
      J. A. Cuesta-Albertos and   
           C. Matrán and   
           A. Mayo-Íscar   Robust clustering tools based on optimal
                                  transportation . . . . . . . . . . . . . 139--160
                 Jiaying Gu and   
                     Fei Fu and   
                      Qing Zhou   Penalized estimation of directed acyclic
                                  graphs from discrete data  . . . . . . . 161--176
                   Yi-An Ma and   
               Emily B. Fox and   
                Tianqi Chen and   
                         Lei Wu   Irreversible samplers from jump and
                                  continuous Markov processes  . . . . . . 177--202

Statistics and Computing
Volume 29, Number 2, March, 2019

  Daiane Aparecida Zuanetti and   
          Peter Müller and   
                  Yitan Zhu and   
              Shengjie Yang and   
                        Yuan Ji   Bayesian nonparametric clustering for
                                  large data sets  . . . . . . . . . . . . 203--215
              Moritz Berger and   
               Gerhard Tutz and   
                Matthias Schmid   Tree-structured modelling of varying
                                  coefficients . . . . . . . . . . . . . . 217--229
              Gersende Fort and   
             Edouard Ollier and   
                 Adeline Samson   Stochastic proximal-gradient algorithms
                                  for penalized mixed models . . . . . . . 231--253
             Victor Picheny and   
        Rémi Servien and   
       Nathalie Villa-Vialaneix   Interpretable sparse SIR for functional
                                  data . . . . . . . . . . . . . . . . . . 255--267
        Dominik Müller and   
                  Claudia Czado   Selection of sparse vine copulas in high
                                  dimensions with the Lasso  . . . . . . . 269--287
                  Noboru Nomura   Orthant probabilities of elliptical
                                  distributions from orthogonal
                                  projections to subspaces . . . . . . . . 289--300
          Alexander Terenin and   
              Shawfeng Dong and   
                   David Draper   GPU-accelerated Gibbs sampling: a case
                                  study of the Horseshoe Probit model  . . 301--310
                 Ruifei Cui and   
                Perry Groot and   
                     Tom Heskes   Learning causal structure from mixed
                                  data with missing values using Gaussian
                                  copula models  . . . . . . . . . . . . . 311--333
            Philip L. H. Yu and   
                        Hang Xu   Rank aggregation using latent-scale
                                  distance-based models  . . . . . . . . . 335--349
        Ioulia Papageorgiou and   
                 Irini Moustaki   Sampling of pairs in pairwise likelihood
                                  estimation for latent variable models
                                  with categorical observed variables  . . 351--365
                    Xin Luo and   
         Håkon Tjelmeland   Prior specification for binary Markov
                                  mesh models  . . . . . . . . . . . . . . 367--389
           David P. Hofmeyr and   
          Nicos G. Pavlidis and   
                Idris A. Eckley   Minimum spectral connectivity projection
                                  pursuit  . . . . . . . . . . . . . . . . 391--414

Statistics and Computing
Volume 29, Number 3, May, 2019

              Mohsen Maleki and   
              Darren Wraith and   
     Reinaldo B. Arellano-Valle   Robust finite mixture modeling of
                                  multivariate unrestricted skew-normal
                                  generalized hyperbolic distributions . . 415--428
               Andrew Glaws and   
            Paul G. Constantine   Gauss--Christoffel quadrature for
                                  inverse regression: applications to
                                  computer experiments . . . . . . . . . . 429--447
              Florian Maire and   
                 Nial Friel and   
                 Pierre Alquier   Informed sub-sampling MCMC: approximate
                                  Bayesian inference for large datasets    449--482
María Xosé Rodríguez-Álvarez and   
               Maria Durban and   
                Dae-Jin Lee and   
              Paul H. C. Eilers   On the estimation of variance parameters
                                  in non-standard generalised linear mixed
                                  models: application to penalised
                                  smoothing  . . . . . . . . . . . . . . . 483--500
         Sabrina Guastavino and   
             Federico Benvenuto   A consistent and numerically efficient
                                  variable selection method for sparse
                                  Poisson regression with applications to
                                  learning and signal recovery . . . . . . 501--516
           Marina I. Knight and   
               Matthew A. Nunes   Long memory estimation for
                                  complex-valued time series . . . . . . . 517--536
         Shonosuke Sugasawa and   
            Genya Kobayashi and   
                  Yuki Kawakubo   Latent mixture modeling for clustered
                                  data . . . . . . . . . . . . . . . . . . 537--548
               Michael Grabchak   Rejection sampling for tempered Lévy
                                  processes  . . . . . . . . . . . . . . . 549--558
          Antonino Abbruzzo and   
             Ivan Vujaci\'c and   
            Angelo M. Mineo and   
                   Ernst C. Wit   Selecting the tuning parameter in
                                  penalized Gaussian graphical models  . . 559--569
               Junshan Shen and   
                  Hanjun Yu and   
                   Jin Yang and   
                   Chunling Liu   Semiparametric Bayesian analysis for
                                  longitudinal mixed effects models with
                                  non-normal AR(1) errors  . . . . . . . . 571--583
                   Jian Cao and   
             Marc G. Genton and   
             David E. Keyes and   
            George M. Turkiyyah   Hierarchical-block conditioning
                                  approximations for high-dimensional
                                  multivariate normal probabilities  . . . 585--598
                 Jack Baker and   
             Paul Fearnhead and   
               Emily B. Fox and   
             Christopher Nemeth   Control variates for stochastic gradient
                                  MCMC . . . . . . . . . . . . . . . . . . 599--615

Statistics and Computing
Volume 29, Number 4, July, 2019

                Andrew J. Black   Importance sampling for partially
                                  observed temporal epidemic models  . . . 617--630
             Daniel W. Heck and   
        Antony M. Overstall and   
          Quentin F. Gronau and   
           Eric-Jan Wagenmakers   Quantifying uncertainty in
                                  transdimensional Markov chain Monte
                                  Carlo using discrete Markov models . . . 631--643
                Minwoo Chae and   
                Ryan Martin and   
              Stephen G. Walker   On an algorithm for solving Fredholm
                                  integrals of the first kind  . . . . . . 645--654
    Andrés M. Alonso and   
             Daniel Peña   Clustering time series by linear
                                  dependency . . . . . . . . . . . . . . . 655--676
              Marco Corneli and   
          Charles Bouveyron and   
            Pierre Latouche and   
                  Fabrice Rossi   The dynamic stochastic topic block model
                                  for dynamic networks with textual edges  677--695
            C. S. Gillespie and   
                     R. J. Boys   Efficient construction of Bayes optimal
                                  designs for stochastic process models    697--706
           Michiel Debruyne and   
    Sebastiaan Höppner and   
              Sven Serneels and   
                   Tim Verdonck   Outlyingness: Which variables contribute
                                  most?  . . . . . . . . . . . . . . . . . 707--723
                Yuguang Yue and   
        Lieven Vandenberghe and   
                  Weng Kee Wong   $T$-optimal designs for multi-factor
                                  polynomial regression models via a
                                  semidefinite relaxation method . . . . . 725--738
           Michael B. Giles and   
                   Takashi Goda   Decision-making under uncertainty: using
                                  MLMC for efficient estimation of EVPPI   739--751
           Marcelo Hartmann and   
                Jarno Vanhatalo   Laplace approximation and natural
                                  gradient for Gaussian process regression
                                  with heteroscedastic Student-$t$ model   753--773
                 Ajay Jasra and   
             Kody J. H. Law and   
             Prince Peprah Osei   Multilevel particle filters for
                                  Lévy-driven stochastic differential
                                  equations  . . . . . . . . . . . . . . . 775--789
                Michael Fop and   
      Thomas Brendan Murphy and   
                   Luca Scrucca   Model-based clustering with sparse
                                  covariance matrices  . . . . . . . . . . 791--819
   Sigrunn H. Sòrbye and   
       Eirik Myrvoll-Nilsen and   
               Håvard Rue   An approximate fractional Gaussian noise
                                  model with $ \mathcal {O}(n) $
                                  computational cost . . . . . . . . . . . 821--833
                    Xi Chen and   
             Michael Hobson and   
              Saptarshi Das and   
                Paul Gelderblom   Improving the efficiency and robustness
                                  of nested sampling using posterior
                                  repartitioning . . . . . . . . . . . . . 835--850
                 Ajay Jasra and   
             Kody J. H. Law and   
             Prince Peprah Osei   Correction to: Multilevel particle
                                  filters for Lévy-driven stochastic
                                  differential equations . . . . . . . . . 851--851

Statistics and Computing
Volume 29, Number 5, September, 2019

             Benn Macdonald and   
                  Dirk Husmeier   Model selection via marginal likelihood
                                  estimation by combining thermodynamic
                                  integration and gradient matching  . . . 853--867
            Javier Espinosa and   
               Christian Hennig   A constrained regression model for an
                                  ordinal response with ordinal predictors 869--890
              Edward Higson and   
               Will Handley and   
             Michael Hobson and   
                Anthony Lasenby   Dynamic nested sampling: an improved
                                  algorithm for parameter estimation and
                                  evidence calculation . . . . . . . . . . 891--913
        Aleksandar A. Kolev and   
                 Gordon J. Ross   Inference for ETAS models with
                                  non-Poissonian mainshock arrival times   915--931
                 D. Gunawan and   
                 M.-N. Tran and   
                  K. Suzuki and   
                    J. Dick and   
                        R. Kohn   Computationally efficient Bayesian
                                  estimation of high-dimensional
                                  Archimedean copulas with discrete and
                                  mixed margins  . . . . . . . . . . . . . 933--946
             Sinan Yildirim and   
                    Beyza Ermis   Exact MCMC with differentially private
                                  moves  . . . . . . . . . . . . . . . . . 947--963
         Òyvind Langsrud   Information preserving regression-based
                                  tools for statistical disclosure control 965--976
                 Ruifei Cui and   
         Ioan Gabriel Bucur and   
                Perry Groot and   
                     Tom Heskes   A novel Bayesian approach for latent
                                  variable modeling from mixed data with
                                  missing values . . . . . . . . . . . . . 977--993
            M. Mehdi Moradi and   
              Ottmar Cronie and   
                  Ege Rubak and   
       Raphael Lachieze-Rey and   
                Jorge Mateu and   
                Adrian Baddeley   Resample-smoothing of Voronoi intensity
                                  estimators . . . . . . . . . . . . . . . 995--1010
      Elizabeth Ann Maharaj and   
                Paulo Teles and   
                    Paula Brito   Clustering of interval time series . . . 1011--1034
          Hiroshi Yamashita and   
                Hideyuki Suzuki   Convergence analysis of
                                  herded-Gibbs-type sampling algorithms:
                                  effects of weight sharing  . . . . . . . 1035--1053
                Augustin Touron   Consistency of the maximum likelihood
                                  estimator in seasonal hidden Markov
                                  models . . . . . . . . . . . . . . . . . 1055--1075
             Matthew Heiner and   
          Athanasios Kottas and   
                  Stephan Munch   Structured priors for sparse probability
                                  vectors with application to model
                                  selection in Markov chains . . . . . . . 1077--1093
              Marco Scutari and   
             Claudia Vitolo and   
                   Allan Tucker   Learning Bayesian networks from big data
                                  with greedy search: computational
                                  complexity and efficient implementation  1095--1108
              Joshua Plasse and   
                 Niall M. Adams   Multiple changepoint detection in
                                  categorical data streams . . . . . . . . 1109--1125
           M. Lomelí and   
                 M. Rowland and   
                 A. Gretton and   
                  Z. Ghahramani   Antithetic and Monte Carlo kernel
                                  estimators for partial rankings  . . . . 1127--1147
           Andrew Golightly and   
                 Chris Sherlock   Efficient sampling of conditioned Markov
                                  jump processes . . . . . . . . . . . . . 1149--1163
                  Miaoqi Li and   
                  Emily L. Kang   Randomized algorithms of maximum
                                  likelihood estimation with spatial
                                  autoregressive models for large-scale
                                  networks . . . . . . . . . . . . . . . . 1165--1179

Statistics and Computing
Volume 29, Number 6, November, 2019

                M. Girolami and   
             I. C. F. Ipsen and   
                C. J. Oates and   
                 A. B. Owen and   
                 T. J. Sullivan   Editorial: special edition on
                                  probabilistic numerics . . . . . . . . . 1181--1183
              Gene Ryan Yoo and   
                  Houman Owhadi   De-noising by thresholding operator
                                  adapted wavelets . . . . . . . . . . . . 1185--1201
               Martin Ehler and   
           Manuel Gräf and   
                Chris. J. Oates   Optimal Monte Carlo integration on
                                  closed manifolds . . . . . . . . . . . . 1203--1214
           R. Jagadeeswaran and   
             Fred J. Hickernell   Fast automatic Bayesian cubature using
                                  lattice sampling . . . . . . . . . . . . 1215--1229
              Toni Karvonen and   
      Simo Särkkä and   
                Chris. J. Oates   Symmetry exploits for Bayesian cubature
                                  methods  . . . . . . . . . . . . . . . . 1231--1248
              Simon Bartels and   
               Jon Cockayne and   
           Ilse C. F. Ipsen and   
                 Philipp Hennig   Probabilistic linear solvers: a unifying
                                  view . . . . . . . . . . . . . . . . . . 1249--1263
              Han Cheng Lie and   
               A. M. Stuart and   
                 T. J. Sullivan   Strong convergence rates of
                                  probabilistic integrators for ordinary
                                  differential equations . . . . . . . . . 1265--1283
        Oksana A. Chkrebtii and   
              David A. Campbell   Adaptive step-size selection for
                                  state-space probabilistic differential
                                  equation solvers . . . . . . . . . . . . 1285--1295
              Filip Tronarp and   
              Hans Kersting and   
      Simo Särkkä and   
                 Philipp Hennig   Probabilistic solutions to ordinary
                                  differential equations as nonlinear
                                  Bayesian filtering: a new perspective    1297--1315
              Toni Karvonen and   
          Motonobu Kanagawa and   
          Simo Särkkä   On the positivity and magnitudes of
                                  Bayesian quadrature weights  . . . . . . 1317--1333
                C. J. Oates and   
                 T. J. Sullivan   A modern retrospective on probabilistic
                                  numerics . . . . . . . . . . . . . . . . 1335--1351


Statistics and Computing
Volume 30, Number 1, February, 2020

              Kei Kobayashi and   
                  Henry P. Wynn   Empirical geodesic graphs and CAT($k$)
                                  metrics for data analysis  . . . . . . . 1--18
                 Zheyuan Li and   
                  Simon N. Wood   Faster model matrix crossproducts for
                                  large generalized linear models with
                                  discretized covariates . . . . . . . . . 19--25
           Nicholas G. Tawn and   
          Gareth O. Roberts and   
           Jeffrey S. Rosenthal   Weight-preserving simulated tempering    27--41
           Ioannis Kosmidis and   
  Euloge Clovis Kenne Pagui and   
                 Nicola Sartori   Mean and median bias reduction in
                                  generalized linear models  . . . . . . . 43--59
           Pierre Barbillon and   
          Lo\"\ic Schwaller and   
      Stéphane Robin and   
              Andrew Flachs and   
              Glenn Davis Stone   Epidemiologic network inference  . . . . 61--75
        Francesco Battaglia and   
            Domenico Cucina and   
                   Manuel Rizzo   Parsimonious periodic autoregressive
                                  models for time series with evolving
                                  trend and seasonality  . . . . . . . . . 77--91
       Belmiro P. M. Duarte and   
   José F. O. Granjo and   
                  Weng Kee Wong   Optimal exact designs of experiments via
                                  Mixed Integer Nonlinear Programming  . . 93--112
                 Kris Boudt and   
         Peter J. Rousseeuw and   
           Steven Vanduffel and   
                   Tim Verdonck   The minimum regularized covariance
                                  determinant estimator  . . . . . . . . . 113--128
               Yafeng Cheng and   
              Jian Qing Shi and   
                     Janet Eyre   Nonlinear mixed-effects
                                  scalar-on-function models and variable
                                  selection  . . . . . . . . . . . . . . . 129--140
                Torsten Hothorn   Transformation boosting machines . . . . 141--152
                P. J. Paine and   
              S. P. Preston and   
                 M. Tsagris and   
              Andrew T. A. Wood   Spherical regression models with general
                                  covariates and anisotropic errors  . . . 153--165
         Peter F. Craigmile and   
                Debashis Mondal   Estimation of long-range dependence in
                                  gappy Gaussian time series . . . . . . . 167--185
           Francisco Cuevas and   
               Denis Allard and   
                   Emilio Porcu   Fast and exact simulation of Gaussian
                                  random fields defined on the sphere
                                  cross time . . . . . . . . . . . . . . . 187--194
               Olivier Bock and   
          Xavier Collilieux and   
  François Guillamon and   
           Emilie Lebarbier and   
                  Claire Pascal   A breakpoint detection in the mean model
                                  with heterogeneous variance on fixed
                                  time intervals . . . . . . . . . . . . . 195--207

Statistics and Computing
Volume 30, Number 2, March, 2020

     Matthew Price-Williams and   
              Nicholas A. Heard   Nonparametric self-exciting models for
                                  computer network traffic . . . . . . . . 209--220
           Manuele Leonelli and   
                  Dani Gamerman   Semiparametric bivariate modelling with
                                  flexible extremal dependence . . . . . . 221--236
               Andrew Glaws and   
        Paul G. Constantine and   
                 R. Dennis Cook   Inverse regression for ridge recovery: a
                                  data-driven approach for parameter
                                  reduction in computer experiments  . . . 237--253
                 Luca Greco and   
            Claudio Agostinelli   Weighted likelihood mixture modeling and
                                  model-based clustering . . . . . . . . . 255--277
         David Rügamer and   
                   Sonja Greven   Inference for $ L_2 $-Boosting . . . . . 279--289
                  Sheng Ren and   
              Emily L. Kang and   
                    Jason L. Lu   MCEN: a method of simultaneous variable
                                  selection and clustering for
                                  high-dimensional multinomial regression  291--304
   Ömer Deniz Akyildiz and   
   Joaquín Míguez   Nudging the particle filter  . . . . . . 305--330
               Gang-Hoo Kim and   
                    Sung-Ho Kim   Marginal information for structure
                                  learning . . . . . . . . . . . . . . . . 331--349
             Daniel Andrade and   
               Akiko Takeda and   
                 Kenji Fukumizu   Robust Bayesian model selection for
                                  variable clustering with the Gaussian
                                  graphical model  . . . . . . . . . . . . 351--376
       Tijana Radivojevi\'c and   
              Elena Akhmatskaya   Modified Hamiltonian Monte Carlo for
                                  Bayesian inference . . . . . . . . . . . 377--404
               Aurya Javeed and   
                   Giles Hooker   Timing observations of diffusions  . . . 405--417
                 Arno Solin and   
          Simo Särkkä   Hilbert space methods for reduced-rank
                                  Gaussian process regression  . . . . . . 419--446
Isadora Antoniano-Villalobos and   
         Emanuele Borgonovo and   
                      Xuefei Lu   Nonparametric estimation of
                                  probabilistic sensitivity measures . . . 447--467
             Greg McSwiggan and   
            Adrian Baddeley and   
                   Gopalan Nair   Estimation of relative risk for events
                                  on a linear network  . . . . . . . . . . 469--484

Statistics and Computing
Volume 30, Number 3, May, 2020

       Panagiotis Papastamoulis   Clustering multivariate data using
                                  factor analytic Bayesian mixtures with
                                  an unknown number of components  . . . . 485--506
           Michael B. Giles and   
           Mateusz B. Majka and   
             Lukasz Szpruch and   
       Sebastian J. Vollmer and   
      Konstantinos C. Zygalakis   Multi-level Monte Carlo methods for the
                                  approximation of invariant measures of
                                  stochastic differential equations  . . . 507--524
       Mohamed Reda El Amri and   
      Céline Helbert and   
            Olivier Lepreux and   
 Miguel Muñoz Zuniga and   
   Clémentine Prieur and   
              Delphine Sinoquet   Data-driven stochastic inversion via
                                  functional quantization  . . . . . . . . 525--541
                   Ziwen An and   
              David J. Nott and   
           Christopher Drovandi   Robust Bayesian synthetic likelihood via
                                  a semi-parametric approach . . . . . . . 543--557
         Jukka Sirén and   
                   Samuel Kaski   Local dimension reduction of summary
                                  statistics for likelihood-free inference 559--570
                     Georg Hahn   Optimal allocation of Monte Carlo
                                  simulations to multiple hypothesis tests 571--586
               Alvin J. K. Chua   Sampling from manifold-restricted
                                  distributions using tangent bundle
                                  projections  . . . . . . . . . . . . . . 587--602
              Sergey Dolgov and   
      Karim Anaya-Izquierdo and   
                  Colin Fox and   
                Robert Scheichl   Approximation and sampling of
                                  multivariate probability distributions
                                  in the tensor train decomposition  . . . 603--625
             Evelyn Buckwar and   
    Massimiliano Tamborrino and   
                Irene Tubikanec   Spectral density-based and
                                  measure-preserving ABC for partially
                                  observed diffusion processes. An
                                  illustration on Hamiltonian SDEs . . . . 627--648
          Achmad Choiruddin and   
   Francisco Cuevas-Pacheco and   
Jean-François Coeurjolly and   
           Rasmus Waagepetersen   Regularized estimation for highly
                                  multivariate log Gaussian Cox processes  649--662
         Richard G. Everitt and   
          Richard Culliford and   
       Felipe Medina-Aguayo and   
               Daniel J. Wilson   Sequential Monte Carlo with
                                  transformations  . . . . . . . . . . . . 663--676
                Eliana Christou   Central quantile subspace  . . . . . . . 677--695
                   Fan Wang and   
             Sach Mukherjee and   
          Sylvia Richardson and   
                 Steven M. Hill   High-dimensional regression in practice:
                                  an empirical study of finite-sample
                                  prediction, variable selection and
                                  ranking  . . . . . . . . . . . . . . . . 697--719
                 Changye Wu and   
            Christian P. Robert   Coordinate sampler: a non-reversible
                                  Gibbs-like MCMC sampler  . . . . . . . . 721--730

Statistics and Computing
Volume 30, Number 4, July, 2020

             Hien D. Nguyen and   
            Florence Forbes and   
          Geoffrey J. McLachlan   Mini-batch learning of exponential
                                  family finite mixture models . . . . . . 731--748
              Andrea Ongaro and   
           Sonia Migliorati and   
                 Roberto Ascari   A new mixture model on the simplex . . . 749--770
                Peijun Sang and   
                      Jiguo Cao   Functional single-index quantile
                                  regression models  . . . . . . . . . . . 771--781
          Eduardo F. Mendes and   
      Christopher K. Carter and   
              David Gunawan and   
                    Robert Kohn   A flexible particle Markov chain Monte
                                  Carlo method . . . . . . . . . . . . . . 783--798
          Jackie S. T. Wong and   
        Jonathan J. Forster and   
              Peter W. F. Smith   Properties of the bridge sampler with a
                                  focus on splitting the MCMC sample . . . 799--816
         Denis Dresvyanskiy and   
           Tatiana Karaseva and   
            Vitalii Makogin and   
          Sergei Mitrofanov and   
          Claudia Redenbach and   
                Evgeny Spodarev   Detecting anomalies in fibre systems
                                  using $3$-dimensional image data . . . . 817--837
                Pallavi Ray and   
               Debdeep Pati and   
           Anirban Bhattacharya   Efficient Bayesian shape-restricted
                                  function estimation with constrained
                                  Gaussian process priors  . . . . . . . . 839--853
               Bruno Santos and   
                   Thomas Kneib   Noncrossing structured additive
                                  multiple-output Bayesian quantile
                                  regression models  . . . . . . . . . . . 855--869
                    Keiji Takai   Incomplete-data Fisher scoring method
                                  with steplength adjustment . . . . . . . 871--886
                  Lifeng Ye and   
          Alexandros Beskos and   
             Maria De Iorio and   
                        Jie Hao   Monte Carlo co-ordinate ascent
                                  variational inference  . . . . . . . . . 887--905
              Assyr Abdulle and   
              Giacomo Garegnani   Random time step probabilistic methods
                                  for uncertainty quantification in
                                  chaotic and geometric numerical
                                  integration  . . . . . . . . . . . . . . 907--932
                Weichang Yu and   
            John T. Ormerod and   
                Michael Stewart   Variational discriminant analysis with
                                  variable selection . . . . . . . . . . . 933--951
          Raoul Müller and   
        Dominic Schuhmacher and   
                    Jorge Mateu   Metrics and barycenters for point
                                  pattern data . . . . . . . . . . . . . . 953--972
              D. Belomestny and   
                 L. Iosipoi and   
                E. Moulines and   
                  A. Naumov and   
                    S. Samsonov   Variance reduction for Markov chains
                                  with application to MCMC . . . . . . . . 973--997
                Katya Mauff and   
           Ewout Steyerberg and   
            Isabella Kardys and   
               Eric Boersma and   
            Dimitris Rizopoulos   Joint models with multiple longitudinal
                                  outcomes and a time-to-event outcome: a
                                  corrected two-stage approach . . . . . . 999--1014
          Hongliang Lü and   
               Julyan Arbel and   
                Florence Forbes   Bayesian nonparametric priors for hidden
                                  Markov random fields . . . . . . . . . . 1015--1035
                  Qiang Liu and   
                    Xin T. Tong   Accelerating Metropolis-within-Gibbs
                                  sampler with localized computations of
                                  differential equations . . . . . . . . . 1037--1056
            G. S. Rodrigues and   
              David J. Nott and   
                   S. A. Sisson   Likelihood-free approximate Gibbs
                                  sampling . . . . . . . . . . . . . . . . 1057--1073
                Aijun Zhang and   
              Hengtao Zhang and   
                   Guosheng Yin   Adaptive iterative Hessian sketch via
                                  $A$-optimal subsampling  . . . . . . . . 1075--1090
  José L. Torrecilla and   
Carlos Ramos-Carreño and   
Manuel Sánchez-Montañés and   
          Alberto Suárez   Optimal classification of Gaussian
                                  processes in homo- and heteroscedastic
                                  settings . . . . . . . . . . . . . . . . 1091--1111

Statistics and Computing
Volume 30, Number 5, September, 2020

  Shanika L. Wickramasuriya and   
          Berwin A. Turlach and   
                 Rob J. Hyndman   Optimal non-negative forecast
                                  reconciliation . . . . . . . . . . . . . 1167--1182
        S. G. J. Senarathne and   
             C. C. Drovandi and   
                   J. M. McGree   A Laplace-based algorithm for Bayesian
                                  adaptive design  . . . . . . . . . . . . 1183--1208
                 Haixu Wang and   
                      Jiguo Cao   Estimating time-varying directed neural
                                  networks . . . . . . . . . . . . . . . . 1209--1220
              Ottmar Cronie and   
               Mehdi Moradi and   
                    Jorge Mateu   Inhomogeneous higher-order summary
                                  statistics for point processes on linear
                                  networks . . . . . . . . . . . . . . . . 1221--1239
    Francesco Sanna Passino and   
              Nicholas A. Heard   Classification of periodic arrivals in
                                  event time data for filtering computer
                                  network traffic  . . . . . . . . . . . . 1241--1254
            Linda S. L. Tan and   
        Aishwarya Bhaskaran and   
                  David J. Nott   Conditionally structured variational
                                  Gaussian approximation with importance
                                  weights  . . . . . . . . . . . . . . . . 1255--1272
           Luigi Augugliaro and   
           Gianluca Sottile and   
             Veronica Vinciotti   The conditional censored graphical lasso
                                  estimator  . . . . . . . . . . . . . . . 1273--1289
    Francesco Sanna Passino and   
              Nicholas A. Heard   Bayesian estimation of the latent
                                  dimension and communities in stochastic
                                  blockmodels  . . . . . . . . . . . . . . 1291--1307
             Mirai Igarashi and   
                 Nobuhiko Terui   Characterization of topic-based online
                                  communities by combining network data
                                  and user generated content . . . . . . . 1309--1324
                Joonha Park and   
            Yves Atchadé   Markov chain Monte Carlo algorithms with
                                  sequential proposals . . . . . . . . . . 1325--1345
                Fadhel Ayed and   
            Marco Battiston and   
           Federico Camerlenghi   An information theoretic approach to
                                  post randomization methods under
                                  differential privacy . . . . . . . . . . 1347--1361
Luis Angel García-Escudero and   
  Agustín Mayo-Iscar and   
                    Marco Riani   Model-based clustering with
                                  determinant-and-shape constraint . . . . 1363--1380
                 Ajay Jasra and   
                Fangyuan Yu and   
                    Jeremy Heng   Multilevel particle filters for the
                                  non-linear filtering problem in
                                  continuous time  . . . . . . . . . . . . 1381--1402
     Alfredo Alegría and   
               Xavier Emery and   
    Christian Lantuéjoul   The turning arcs: a computationally
                                  efficient algorithm to simulate
                                  isotropic vector-valued Gaussian random
                                  fields on the $d$-sphere . . . . . . . . 1403--1418
       Hendrik van der Wurp and   
              Andreas Groll and   
                 Rosalba Radice   Generalised joint regression for count
                                  data: a penalty extension for
                                  competitive settings . . . . . . . . . . 1419--1432
            Christian Soize and   
            Roger G. Ghanem and   
          Christophe Desceliers   Sampling of Bayesian posteriors with a
                                  non-Gaussian probabilistic learning on
                                  manifolds from a small dataset . . . . . 1433--1457
                T. Whitaker and   
                B. Beranger and   
                   S. A. Sisson   Composite likelihood methods for
                                  histogram-valued random variables  . . . 1459--1477
               Denis Allard and   
               Xavier Emery and   
    Christian Lantuéjoul   Simulating space-time random fields with
                                  nonseparable Gneiting-type covariance
                                  functions  . . . . . . . . . . . . . . . 1479--1495
                Joonha Park and   
              Edward L. Ionides   Inference on high-dimensional implicit
                                  dynamic models using a guided
                                  intermediate resampling filter . . . . . 1497--1522
        Serhat Emre Akhanli and   
               Christian Hennig   Comparing clusterings and numbers of
                                  clusters by aggregation of calibrated
                                  clustering validity indexes  . . . . . . 1523--1544
            Andrea Cappozzo and   
         Francesca Greselin and   
          Thomas Brendan Murphy   Anomaly and Novelty detection for robust
                                  semi-supervised learning . . . . . . . . 1545--1571

Statistics and Computing
Volume 30, Number 6, November, 2020

            Claes Andersson and   
          Tomás Mrkvicka   Inference for cluster point processes
                                  with over- or under-dispersed cluster
                                  sizes  . . . . . . . . . . . . . . . . . 1573--1590
              Antonio Lijoi and   
         Igor Prünster and   
                  Tommaso Rigon   Sampling hierarchies of discrete random
                                  structures . . . . . . . . . . . . . . . 1591--1607
      Andrew Zammit-Mangion and   
               Jonathan Rougier   Multi-scale process modelling and
                                  distributed computation for spatial data 1609--1627
             Aude Sportisse and   
               Claire Boyer and   
                    Julie Josse   Imputation and low-rank estimation with
                                  Missing Not At Random data . . . . . . . 1629--1643
   Ömer Deniz Akyildiz and   
                 Dan Crisan and   
   Joaquín Míguez   Parallel sequential Monte Carlo for
                                  stochastic gradient-free nonconvex
                                  optimization . . . . . . . . . . . . . . 1645--1663
        Chiheb Ben Hammouda and   
          Nadhir Ben Rached and   
            Raúl Tempone   Importance sampling for a robust and
                                  efficient multilevel Monte Carlo
                                  estimator for stochastic reaction
                                  networks . . . . . . . . . . . . . . . . 1665--1689
                 Georg Hahn and   
             Paul Fearnhead and   
                Idris A. Eckley   BayesProject: Fast computation of a
                                  projection direction for multivariate
                                  changepoint detection  . . . . . . . . . 1691--1705
              Angshuman Roy and   
               Soham Sarkar and   
                   Alok Goswami   On some consistent tests of mutual
                                  independence among several random
                                  vectors of arbitrary dimensions  . . . . 1707--1723
               Estelle Kuhn and   
           Catherine Matias and   
                  Tabea Rebafka   Properties of the stochastic
                                  approximation EM algorithm with
                                  mini-batch sampling  . . . . . . . . . . 1725--1739
              David Gunawan and   
             Khue-Dung Dang and   
                 Minh-Ngoc Tran   Subsampling sequential Monte Carlo for
                                  static Bayesian models . . . . . . . . . 1741--1758
           Aaron P. Lowther and   
             Paul Fearnhead and   
                   Kjeld Jensen   Semi-automated simultaneous predictor
                                  selection for regression-SARIMA models   1759--1778
              Daniel Ahfock and   
          Geoffrey J. McLachlan   An apparent paradox: a classifier based
                                  on a partially classified sample may
                                  have smaller expected error rate than
                                  that if the sample were completely
                                  classified . . . . . . . . . . . . . . . 1779--1790
              Hans Kersting and   
             T. J. Sullivan and   
                 Philipp Hennig   Convergence rates of Gaussian ODE
                                  filters  . . . . . . . . . . . . . . . . 1791--1816


Statistics and Computing
Volume 31, Number 1, January, 2021

                 Josef Dick and   
               Takashi Goda and   
                  Hiroya Murata   Toeplitz Monte Carlo . . . . . . . . . . ??
                   Jian Cao and   
             Marc G. Genton and   
            George M. Turkiyyah   Exploiting low-rank covariance
                                  structures for computing
                                  high-dimensional normal and Student-$t$
                                  probabilities  . . . . . . . . . . . . . ??
Javier Juan-Albarracín and   
        Elies Fuster-Garcia and   
Juan M. García-Gómez   Non-local spatially varying finite
                                  mixture models for image segmentation    ??
         Andrew J. Holbrook and   
        Charles E. Loeffler and   
                Marc A. Suchard   Scalable Bayesian inference for
                                  self-excitatory stochastic processes
                                  applied to big American gunfire data . . ??
                Shengwei Hu and   
                      Yong Wang   Modal Clustering Using Semiparametric
                                  Mixtures and Mode Flattening . . . . . . ??
          Kitty Yuen Yi Wan and   
                 Jim E. Griffin   An adaptive MCMC method for Bayesian
                                  variable selection in logistic and
                                  accelerated failure time regression
                                  models . . . . . . . . . . . . . . . . . ??
          Guillaume Gautier and   
       Rémi Bardenet and   
                   Michal Valko   Fast sampling from $ \beta $-ensembles   ??
             Yariv Aizenbud and   
                Boris Landa and   
                Yoel Shkolnisky   Rank-one multi-reference factor analysis ??
                Zhiyan Ding and   
                         Qin Li   Ensemble Kalman inversion: mean-field
                                  limit and convergence analysis . . . . . ??
           Wendy K. Tam Cho and   
                     Yan Y. Liu   A parallel evolutionary multiple-try
                                  Metropolis Markov chain Monte Carlo
                                  algorithm for sampling spatial
                                  partitions . . . . . . . . . . . . . . . ??
       William H. Aeberhard and   
                Eva Cantoni and   
                 Rosalba Radice   Robust fitting for generalized additive
                                  models for location, scale and shape . . ??

Statistics and Computing
Volume 31, Number 2, March, 2021

   Ömer Deniz Akyildiz and   
   Joaquín Míguez   Convergence rates for optimised adaptive
                                  importance samplers  . . . . . . . . . . ??
           Marco Stefanucci and   
                 Antonio Canale   Multiscale stick-breaking mixture models ??
              Mark J. Meyer and   
        Elizabeth J. Malloy and   
                 Brent A. Coull   Bayesian wavelet-packet historical
                                  functional linear models . . . . . . . . ??
                Rico Blaser and   
               Piotr Fryzlewicz   Regularizing axis-aligned ensembles via
                                  data rotations that favor simpler
                                  learners . . . . . . . . . . . . . . . . ??
              Topi Paananen and   
              Juho Piironen and   
                    Aki Vehtari   Implicitly adaptive importance sampling  ??
               Gerhard Tutz and   
                  Moritz Berger   Tree-structured scale effects in binary
                                  and ordinal regression . . . . . . . . . ??
          Rebecca E. Wilson and   
            Idris A. Eckley and   
                   Timothy Park   A wavelet-based approach for imputation
                                  in nonstationary multivariate time
                                  series . . . . . . . . . . . . . . . . . ??
              Shane Barratt and   
          Guillermo Angeris and   
                   Stephen Boyd   Optimal representative sample weighting  ??

Statistics and Computing
Volume 31, Number 3, May, 2021

    Estevão B. Prado and   
            Rafael A. Moral and   
              Andrew C. Parnell   Bayesian additive regression trees with
                                  model trees  . . . . . . . . . . . . . . ??
                 Ajay Jasra and   
             Kody J. H. Law and   
                        Deng Lu   Unbiased estimation of the gradient of
                                  the log-likelihood in inverse problems   ??
              Cinzia Viroli and   
               Laura Anderlucci   Deep mixtures of unigrams for uncovering
                                  topics in textual data . . . . . . . . . ??
              Filip Tronarp and   
      Simo Särkkä and   
                 Philipp Hennig   Bayesian ODE solvers: the maximum a
                                  posteriori estimate  . . . . . . . . . . ??
          Santeri Karppinen and   
                   Matti Vihola   Conditional particle filters with
                                  diffuse initial distributions  . . . . . ??
                Joseph Guinness   Gaussian process learning via Fisher
                                  scoring of Vecchia's approximation . . . ??
                 Tom Stindl and   
                      Feng Chen   Accelerating the estimation of renewal
                                  Hawkes self-exciting point processes . . ??
           Christian Agrell and   
         Kristina Rognlien Dahl   Sequential Bayesian optimal experimental
                                  design for structural reliability
                                  analysis . . . . . . . . . . . . . . . . ??
            Jeremie Coullon and   
               Robert J. Webber   Ensemble sampler for
                                  infinite-dimensional inverse problems    ??
        Valentin De Bortoli and   
               Alain Durmus and   
                   Ana F. Vidal   Efficient stochastic optimisation by
                                  unadjusted Langevin Monte Carlo  . . . . ??
               Gavin Ridley and   
                  Benoit Forget   A simple method for rejection sampling
                                  efficiency improvement on SIMT
                                  architectures  . . . . . . . . . . . . . ??
         Mohammad W. Hattab and   
                  David Ruppert   A mixed model approach to measurement
                                  error in semiparametric regression . . . ??
    Séverine Affeldt and   
              Lazhar Labiod and   
                  Mohamed Nadif   Regularized bi-directional co-clustering ??
             D. Austin Cole and   
       Ryan B. Christianson and   
              Robert B. Gramacy   Locally induced Gaussian processes for
                                  large-scale simulation experiments . . . ??
                 Yiwei Wang and   
                Jiuhai Chen and   
                      Lulu Kang   Particle-based energetic variational
                                  inference  . . . . . . . . . . . . . . . ??
                 Georg Hahn and   
             Sharon M. Lutz and   
                Christoph Lange   A fast and efficient smoothing approach
                                  to Lasso regression and an application
                                  in statistical genetics: polygenic risk
                                  scores for chronic obstructive pulmonary
                                  disease (COPD) . . . . . . . . . . . . . ??
         Gernot Müller and   
                  Sebastian Uhl   Estimation of time-varying
                                  autoregressive stochastic volatility
                                  models with stable innovations . . . . . ??
             Joris Bierkens and   
          Sebastiano Grazzi and   
                 Moritz Schauer   A piecewise deterministic Monte Carlo
                                  method for diffusion bridges . . . . . . ??

Statistics and Computing
Volume 31, Number 4, July, 2021

          Samuel M. Fischer and   
                  Mark A. Lewis   A robust and efficient algorithm to find
                                  profile likelihood confidence intervals  ??
                     Jonas Latz   Analysis of stochastic gradient descent
                                  in continuous time . . . . . . . . . . . ??
                  Yici Chen and   
              Ken'ichiro Tanaka   Maximum likelihood estimation of the
                                  Fisher--Bingham distribution via
                                  efficient calculation of its normalizing
                                  constant . . . . . . . . . . . . . . . . ??
     Diederik S. Laman Trip and   
        Wessel N. van Wieringen   A parallel algorithm for ridge-penalized
                                  estimation of the multivariate
                                  exponential family from data of mixed
                                  types  . . . . . . . . . . . . . . . . . ??
            Francesco Denti and   
            Andrea Cappozzo and   
             Francesca Greselin   A two-stage Bayesian semiparametric
                                  model for novelty detection with robust
                                  prior information  . . . . . . . . . . . ??
                  Xiong Lyu and   
        Mickaël Binois and   
              Michael Ludkovski   Evaluating Gaussian process metamodels
                                  and sequential designs for noisy level
                                  set estimation . . . . . . . . . . . . . ??
             Nicolas Jouvin and   
          Charles Bouveyron and   
                Pierre Latouche   A Bayesian Fisher--EM algorithm for
                                  discriminative Gaussian subspace
                                  clustering . . . . . . . . . . . . . . . ??
       Belmiro P. M. Duarte and   
        Anthony C. Atkinson and   
            Nuno M. C. Oliveira   Optimal experimental design for linear
                                  time invariant state-space models  . . . ??
                  Feng Zhou and   
                  Simon Luo and   
                 Zhidong Li and   
                  Xuhui Fan and   
                  Yang Wang and   
               Arcot Sowmya and   
                      Fang Chen   Efficient EM-variational inference for
                                  nonparametric Hawkes process . . . . . . ??
             Augusto Fasano and   
           Giovanni Rebaudo and   
            Daniele Durante and   
                  Sonia Petrone   A closed-form filter for binary time
                                  series . . . . . . . . . . . . . . . . . ??
                    G. Fort and   
                    P. Gach and   
                    E. Moulines   Fast incremental expectation
                                  maximization for finite-sum
                                  optimization: nonasymptotic convergence  ??
            Vojtech Kejzlar and   
               Mookyong Son and   
      Shrijita Bhattacharya and   
                Tapabrata Maiti   A fast and calibrated computer model
                                  emulator: an empirical Bayes approach    ??
          Rémi Leluc and   
    François Portier and   
                   Johan Segers   Control variate selection for Monte
                                  Carlo integration  . . . . . . . . . . . ??
                 Duncan Lee and   
                Kitty Meeks and   
             William Pettersson   Improved inference for areal unit count
                                  data using graph-based optimisation  . . ??

Statistics and Computing
Volume 31, Number 5, September, 2021

                 Linna Wang and   
                 Yichen Qin and   
                        Yang Li   Confidence graphs for graphical model
                                  selection  . . . . . . . . . . . . . . . ??
       Thomas Maullin-Sapey and   
              Thomas E. Nichols   Fisher Scoring for crossed factor linear
                                  mixed models . . . . . . . . . . . . . . ??
        Satya Prakash Singh and   
         Siuli Mukhopadhyay and   
                      Harsh Raj   Min-max crossover designs for two
                                  treatments binary and Poisson crossover
                                  trials . . . . . . . . . . . . . . . . . ??
               Junyang Wang and   
               Jon Cockayne and   
             T. J. Sullivan and   
                Chris. J. Oates   Bayesian numerical methods for nonlinear
                                  partial differential equations . . . . . ??
              Vladimir Fanaskov   Uncertainty calibration for
                                  probabilistic projection methods . . . . ??
                     Yu Luo and   
              David A. Stephens   Bayesian inference for continuous-time
                                  hidden Markov models with an unknown
                                  number of states . . . . . . . . . . . . ??
              Daniel Ahfock and   
           Saumyadipta Pyne and   
          Geoffrey J. McLachlan   Data fusion using factor analysis and
                                  low-rank matrix completion . . . . . . . ??
         Jeremie Houssineau and   
                Jiajie Zeng and   
                     Ajay Jasra   Uncertainty modelling and computational
                                  aspects of data association  . . . . . . ??
               D. I. Palade and   
                        M. Vlad   Fast generation of Gaussian random
                                  fields for direct numerical simulations
                                  of stochastic transport  . . . . . . . . ??
            Minas Karamanis and   
                Florian Beutler   Ensemble slice sampling  . . . . . . . . ??
              Joshua J. Bon and   
                Anthony Lee and   
           Christopher Drovandi   Accelerating sequential Monte Carlo with
                                  surrogate likelihoods  . . . . . . . . . ??
                Fadhel Ayed and   
          François Caron   Nonnegative Bayesian nonparametric
                                  factor models with completely random
                                  measures . . . . . . . . . . . . . . . . ??
            Renzo Caballero and   
              Ahmed Kebaier and   
              Marco Scavino and   
            Raúl Tempone   Quantifying uncertainty with a
                                  derivative tracking SDE model and
                                  application to wind power forecast data  ??
        Selin Damla Ahipasaoglu   A branch-and-bound algorithm for the
                                  exact optimal experimental design
                                  problem  . . . . . . . . . . . . . . . . ??
           Joachim Schreurs and   
              Iwein Vranckx and   
        Johan A. K. Suykens and   
             Peter J. Rousseeuw   Outlier detection in non-elliptical data
                                  by kernel MRCD . . . . . . . . . . . . . ??
                 Jonas Latz and   
    Juan P. Madrigal-Cianci and   
               Fabio Nobile and   
            Raúl Tempone   Generalized parallel tempering on
                                  Bayesian inverse problems  . . . . . . . ??
     Jacob Vorstrup Goldman and   
             Sumeetpal S. Singh   Spatiotemporal blocking of the bouncy
                                  particle sampler for efficient inference
                                  in state-space models  . . . . . . . . . ??

Statistics and Computing
Volume 31, Number 6, November, 2021

          Nadhir Ben Rached and   
      Abdul-Lateef Haji-Ali and   
            Raúl Tempone   Efficient importance sampling for large
                                  sums of independent and identically
                                  distributed random variables . . . . . . ??
                  Xuan Dang and   
                Shuai Huang and   
                  Xiaoning Qian   Penalized Cox's proportional hazards
                                  model for high-dimensional survival data
                                  with grouped predictors  . . . . . . . . ??
      Alix Marie d'Avigneau and   
         Sumeetpal S. Singh and   
             Lawrence M. Murray   Anytime parallel tempering . . . . . . . ??
       Víctor Elvira and   
      Joaquín Miguez and   
              Petar M. Djuri\'c   On the performance of particle filters
                                  with adaptive number of particles  . . . ??
            Radoslav Harman and   
        Lenka Filová and   
                    Samuel Rosa   Optimal design of multifactor
                                  experiments via grid exploration . . . . ??
               Giles Hooker and   
               Lucas Mentch and   
                      Siyu Zhou   Unrestricted permutation forces
                                  extrapolation: variable importance
                                  requires at least one more model, or
                                  there is no free variable importance . . ??
              Chaofan Huang and   
           V. Roshan Joseph and   
                 Douglas M. Ray   Constrained minimum energy designs . . . ??
                Alec Koppel and   
         Hrusikesha Pradhan and   
                  Ketan Rajawat   Consistent online Gaussian process
                                  regression without the sample complexity
                                  bottleneck . . . . . . . . . . . . . . . ??
              Jeong Eun Lee and   
              Geoff K. Nicholls   Tree based credible set estimation . . . ??
                  Yinan Mao and   
                 Xueou Wang and   
                  Michael Evans   Detecting conflicting summary statistics
                                  in likelihood-free inference . . . . . . ??
              John Moriarty and   
               Jure Vogrinc and   
               Alessandro Zocca   A Metropolis-class sampler for targets
                                  with non-convex support  . . . . . . . . ??
             Kimmo Suotsalo and   
                Yingying Xu and   
                   Johan Pensar   High-dimensional structure learning of
                                  sparse vector autoregressive models
                                  using fractional marginal
                                  pseudo-likelihood  . . . . . . . . . . . ??
             Minh-Ngoc Tran and   
             Dang H. Nguyen and   
                     Duy Nguyen   Variational Bayes on manifolds . . . . . ??
                 Zheng Zhao and   
             Muhammad Emzir and   
          Simo Särkkä   Deep state-space Gaussian processes  . . ??


Statistics and Computing
Volume 32, Number 1, February, 2022

              Umberto Amato and   
         Anestis Antoniadis and   
                Ir\`ene Gijbels   Wavelet-based robust estimation and
                                  variable selection in nonparametric
                                  additive models  . . . . . . . . . . . . ??
              D. Belomestny and   
                E. Moulines and   
                    S. Samsonov   Variance reduction for additive
                                  functionals of Markov chains via
                                  martingale representations . . . . . . . ??
   Gabriel Boisvert-Beaudry and   
         Myl\`ene Bédard   MALA with annealed proposals: a
                                  generalization of locally and globally
                                  balanced proposal distributions  . . . . ??
            Francesco Denti and   
            Andrea Cappozzo and   
             Francesca Greselin   Correction to: A two-stage Bayesian
                                  semiparametricmodel for novelty
                                  detection with robust prior information  ??
          Christophe Dutang and   
                Quentin Guibert   An explicit split point procedure in
                                  model-based trees allowing for a quick
                                  fitting of GLM trees and GLM forests . . ??
             Gabriel Frisch and   
         Jean-Benoist Leger and   
                Yves Grandvalet   Learning from missing data with the
                                  binary latent block model  . . . . . . . ??
Luis A. García-Escudero and   
  Agustín Mayo-Iscar and   
                    Marco Riani   Constrained parsimonious model-based
                                  clustering . . . . . . . . . . . . . . . ??
              Simon Godsill and   
                   Yaman Kindap   Point process simulation of generalised
                                  inverse Gaussian processes and
                                  estimation of the Jaeger integral  . . . ??
           Andrew Golightly and   
                 Chris Sherlock   Augmented pseudo-marginal
                                  Metropolis--Hastings for partially
                                  observed diffusion processes . . . . . . ??
Flávio B. Gonçalves and   
      Lívia M. Dutra and   
              Roger W. C. Silva   Exact and computationally efficient
                                  Bayesian inference for generalized
                                  Markov modulated Poisson processes . . . ??
                 Yaofang Hu and   
                Wanjie Wang and   
                          Yi Yu   Graph matching beyond
                                  perfectly-overlapping Erd\Hos--Rényi
                                  random graphs  . . . . . . . . . . . . . ??
              Corinne Jones and   
             Vincent Roulet and   
                 Zaid Harchaoui   Discriminative clustering with
                                  representation learning with any ratio
                                  of labeled to unlabeled data . . . . . . ??
               Marcin Jurek and   
              Matthias Katzfuss   Hierarchical sparse Cholesky
                                  decomposition with applications to
                                  high-dimensional spatio-temporal
                                  filtering  . . . . . . . . . . . . . . . ??
                 Hyotae Kim and   
              Athanasios Kottas   Erlang mixture modeling for Poisson
                                  process intensities  . . . . . . . . . . ??
                 Juan Kuntz and   
      Francesca R. Crucinio and   
               Adam M. Johansen   Product-form estimators: exploiting
                                  independence to scale up Monte Carlo . . ??
               Marc Lambert and   
         Silv\`ere Bonnabel and   
                   Francis Bach   The recursive variational Gaussian
                                  approximation (R-VGA)  . . . . . . . . . ??
                   Yang Liu and   
            Robert J. B. Goudie   Stochastic approximation cut algorithm
                                  for inference in modularized Bayesian
                                  models . . . . . . . . . . . . . . . . . ??
            L. Mihaela Paun and   
                  Dirk Husmeier   Emulation-accelerated Hamiltonian Monte
                                  Carlo algorithms for parameter
                                  estimation and uncertainty
                                  quantification in differential equation
                                  models . . . . . . . . . . . . . . . . . ??
               Lena Sembach and   
          Jan Pablo Burgard and   
                  Volker Schulz   A Riemannian Newton trust-region method
                                  for fitting Gaussian mixture models  . . ??
        Nathaniel Tomasetti and   
           Catherine Forbes and   
        Anastasios Panagiotelis   Updating Variational Bayes: fast
                                  sequential posterior inference . . . . . ??
                 Jiangqi Wu and   
                 Linjie Wen and   
                  Simon Maskell   Ensemble Kalman filter based sequential
                                  Monte Carlo sampler for sequential
                                  Bayesian inference . . . . . . . . . . . ??

Statistics and Computing
Volume 32, Number 2, April, 2022

              Assyr Abdulle and   
     Grigorios A. Pavliotis and   
                  Andrea Zanoni   Eigenfunction martingale estimating
                                  functions and filtered data for drift
                                  estimation of discretely observed
                                  multiscale diffusions  . . . . . . . . . ??
               Martin Eigel and   
             Robert Gruhlke and   
               Manuel Marschall   Low-rank tensor reconstruction of
                                  concentrated densities with application
                                  to Bayesian inversion  . . . . . . . . . ??
                Tianyu Guan and   
                Zhenhua Lin and   
                      Jiguo Cao   Sparse functional partial least squares
                                  regression with a locally sparse slope
                                  function . . . . . . . . . . . . . . . . ??
               Markus Hainy and   
             David J. Price and   
           Christopher Drovandi   Optimal Bayesian design for model
                                  discrimination via classification  . . . ??
              Benoit Kugler and   
            Florence Forbes and   
           Sylvain Douté   Fast Bayesian inversion for high
                                  dimensional inverse problems . . . . . . ??
        Andrew A. Manderson and   
            Robert J. B. Goudie   A numerically stable algorithm for
                                  integrating Bayesian models using Markov
                                  melding  . . . . . . . . . . . . . . . . ??
       Christian Molkenthin and   
           Christian Donner and   
                  Manfred Opper   GP-ETAS: semiparametric Bayesian
                                  inference for the spatio-temporal
                                  epidemic type aftershock sequence model  ??
   Panagiotis Papastamoulis and   
              Ioannis Ntzoufras   On the identifiability of Bayesian
                                  factor analytic models . . . . . . . . . ??
    Francesco Sanna Passino and   
              Nicholas A. Heard   Latent structure blockmodels for
                                  Bayesian spectral graph clustering . . . ??
       Teemu Säilynoja and   
Paul-Christian Bürkner and   
                    Aki Vehtari   Graphical test for discrete uniformity
                                  and its applications in goodness-of-fit
                                  evaluation and multiple sample
                                  comparison . . . . . . . . . . . . . . . ??
        Sebastian M. Schmon and   
                Philippe Gagnon   Optimal scaling of random walk
                                  Metropolis algorithms using Bayesian
                                  large-sample asymptotics . . . . . . . . ??
            Jarkko Suuronen and   
              Neil K. Chada and   
                 Lassi Roininen   Cauchy Markov random field priors for
                                  Bayesian inversion . . . . . . . . . . . ??
        Michalis K. Titsias and   
            Jakub Sygnowski and   
                    Yutian Chen   Sequential changepoint detection in
                                  neural networks with checkpoints . . . . ??

Statistics and Computing
Volume 32, Number 3, June, 2022

        Themistoklis Botsas and   
           Lachlan R. Mason and   
                   Indranil Pan   Rule-based Bayesian regression . . . . . ??
             Antonio Canale and   
          Riccardo Corradin and   
                Bernardo Nipoti   Importance conditional sampling for
                                  Pitman-Yor mixtures  . . . . . . . . . . ??
       Christopher Drovandi and   
               David T. Frazier   A comparison of likelihood-free methods
                                  with and without summary statistics  . . ??
               Giles Hooker and   
                  Han Lin Shang   Selecting the derivative of a functional
                                  covariate in scalar-on-function
                                  regression . . . . . . . . . . . . . . . ??
                    John Hughes   Sklar's Omega: a Gaussian copula-based
                                  framework for assessing agreement  . . . ??
                 Nick James and   
                    Max Menzies   Optimally adaptive Bayesian spectral
                                  density estimation for stationary and
                                  nonstationary processes  . . . . . . . . ??
                 Lucas Kook and   
                 Beate Sick and   
            Peter Bühlmann   Distributional anchor regression . . . . ??
                Jianfeng Lu and   
                     Lihan Wang   Complexity of zigzag sampling algorithm
                                  for strongly log-concave distributions   ??
           Giulia Marchello and   
              Audrey Fresse and   
              Charles Bouveyron   Co-clustering of evolving count matrices
                                  with the dynamic latent block model:
                                  application to pharmacovigilance . . . . ??
             Hamza Ruzayqat and   
              Neil K. Chada and   
                     Ajay Jasra   Multilevel estimation of normalization
                                  constants using ensemble Kalman--Bucy
                                  filters  . . . . . . . . . . . . . . . . ??
            Srijata Samanta and   
              Kshitij Khare and   
             George Michailidis   A generalized likelihood-based Bayesian
                                  approach for scalable joint regression
                                  and covariance selection in high
                                  dimensions . . . . . . . . . . . . . . . ??
   Denishrouf Thesingarajah and   
               Adam M. Johansen   The node-wise Pseudo-marginal method:
                                  model selection with spatial dependence
                                  on latent graphs . . . . . . . . . . . . ??
        Willem van den Boom and   
                 Ajay Jasra and   
              Johan G. Eriksson   Unbiased approximation of posteriors via
                                  coupled particle Markov chain Monte
                                  Carlo  . . . . . . . . . . . . . . . . . ??
                  Yan Zhong and   
               Jianhua Z. Huang   Biclustering via structured regularized
                                  matrix decomposition . . . . . . . . . . ??

Statistics and Computing
Volume 32, Number 4, August, 2022

               Marina Meila and   
            Annelise Wagner and   
               Christopher Meek   Recursive inversion models for
                                  permutations . . . . . . . . . . . . . . ??
      Alexander T. M. Fisch and   
          Lawrence Bardwell and   
                Idris A. Eckley   Real time anomaly detection and
                                  categorisation . . . . . . . . . . . . . ??
               Vasyl Hafych and   
              Philipp Eller and   
              Oliver Schulz and   
                  Allen Caldwel   Parallelizing MCMC sampling via space
                                  partitioning . . . . . . . . . . . . . . ??
              Jingnan Zhang and   
                    Junhui Wang   Identifiability and parameter estimation
                                  of the overlapped stochastic co-block
                                  model  . . . . . . . . . . . . . . . . . ??
                   Wei Deng and   
                  Guang Lin and   
                   Faming Liang   An adaptively weighted stochastic
                                  gradient MCMC algorithm for Monte Carlo
                                  simulation and global optimization . . . ??
              Haoxin Zhuang and   
                 Liqun Diao and   
                       Grace Yi   Polya tree-based nearest neighborhood
                                  regression . . . . . . . . . . . . . . . ??
            Andrew D. Davis and   
            Youssef Marzouk and   
                Aaron Smith and   
                  Natesh Pillai   Rate-optimal refinement strategies for
                                  local approximation MCMC . . . . . . . . ??
                 Luca Merlo and   
         Antonello Maruotti and   
               Lea Petrella and   
                  Antonio Punzo   Quantile hidden semi-Markov models for
                                  multivariate time series . . . . . . . . ??
        Mabel Morales-Otero and   
Virgilio Gómez-Rubio and   
Vicente Núñez-Antón   Fitting double hierarchical models with
                                  the integrated nested Laplace
                                  approximation  . . . . . . . . . . . . . ??
                  Zuheng Xu and   
                Trevor Campbell   The computational asymptotics of
                                  Gaussian variational inference and the
                                  Laplace approximation  . . . . . . . . . ??
     Stéphane Girard and   
            Gilles Stupfler and   
       Antoine Usseglio-Carleve   On automatic bias reduction for extreme
                                  expectile estimation . . . . . . . . . . ??
              Daniel Paulin and   
                 Ajay Jasra and   
          Alexandros Beskos and   
                     Dan Crisan   A 4D-Var method with flow-dependent
                                  background covariances for the
                                  shallow-water equations  . . . . . . . . ??

Statistics and Computing
Volume 32, Number 5, October, 2022

            Baris Alparslan and   
                 Sinan Yildirim   Statistic selection and MCMC for
                                  differentially private Bayesian
                                  estimation . . . . . . . . . . . . . . . ??
             Frank Rotiroti and   
              Stephen G. Walker   Computing marginal likelihoods via the
                                  Fourier integral theorem and pointwise
                                  estimation of posterior densities  . . . ??
                 Alex Sharp and   
                    Ryan Browne   A joint latent factor analyzer and
                                  functional subspace model for clustering
                                  multivariate functional data . . . . . . ??
                  Nan Zhang and   
               Muye Nanshan and   
                      Jiguo Cao   A Joint estimation approach to sparse
                                  additive ordinary differential equations ??
                 Lucas Kock and   
                Nadja Klein and   
                  David J. Nott   Variational inference and sparsity in
                                  high-dimensional deep Gaussian mixture
                                  models . . . . . . . . . . . . . . . . . ??
              Sabrina Sixta and   
           Jeffrey S. Rosenthal   Convergence rate bounds for iterative
                                  random functions using one-shot coupling ??
                    Hanwen Xing   Improving bridge estimators via $f$-GAN  ??
                Isa Marques and   
               Thomas Kneib and   
                    Nadja Klein   A non-stationary model for spatially
                                  dependent circular response data based
                                  on wrapped Gaussian processes  . . . . . ??
             Suman Majumder and   
                 Yawen Guan and   
             Brian J. Reich and   
              Arvind K. Saibaba   Kryging: geostatistical analysis of
                                  large-scale datasets using Krylov
                                  subspace methods . . . . . . . . . . . . ??
               Ben Sherwood and   
                      Shaobo Li   Quantile regression feature selection
                                  and estimation with grouped variables
                                  using Huber approximation  . . . . . . . ??
                 Cunjie Lin and   
                   Nan Qiao and   
                Wenli Zhang and   
                    Yang Li and   
                    Shuangge Ma   Default risk prediction and feature
                                  extraction using a penalized deep neural
                                  network  . . . . . . . . . . . . . . . . ??
              Marco Scutari and   
           Francesca Panero and   
                 Manuel Proissl   Achieving fairness with a simple ridge
                                  penalty  . . . . . . . . . . . . . . . . ??
          Benjamin J. Zhang and   
         Youssef M. Marzouk and   
      Konstantinos Spiliopoulos   Geometry-informed irreversible
                                  perturbations for accelerated
                                  convergence of Langevin dynamics . . . . ??
       Alexandre Constantin and   
             Mathieu Fauvel and   
         Stéphane Girard   Mixture of multivariate Gaussian
                                  processes for classification of
                                  irregularly sampled satellite image
                                  time-series  . . . . . . . . . . . . . . ??
               Jimmy Olsson and   
           Tatjana Pavlenko and   
                  Felix L. Rios   Sequential sampling of junction trees
                                  for decomposable graphs  . . . . . . . . ??
             Piergiacomo Sabino   Exact simulation of normal tempered
                                  stable processes of OU type with
                                  applications . . . . . . . . . . . . . . ??
          Yiolanda Englezou and   
           Timothy W. Waite and   
                 David C. Woods   Approximate Laplace importance sampling
                                  for the estimation of expected Shannon
                                  information gain in high-dimensional
                                  Bayesian design for nonlinear models . . ??
Jérôme-Alexis Chevalier and   
           Tuan-Binh Nguyen and   
           Bertrand Thirion and   
                  Joseph Salmon   Spatially relaxed inference on
                                  high-dimensional linear models . . . . . ??
               Xitong Liang and   
         Samuel Livingstone and   
                    Jim Griffin   Adaptive random neighbourhood informed
                                  Markov chain Monte Carlo for
                                  high-dimensional Bayesian variable
                                  selection  . . . . . . . . . . . . . . . ??
            Florence Forbes and   
            Hien Duy Nguyen and   
            TrungTin Nguyen and   
                   Julyan Arbel   Summary statistics and discrepancy
                                  measures for approximate Bayesian
                                  computation via surrogate posteriors . . ??
             Fernando Casas and   
Jesús María Sanz-Serna and   
                      Luke Shaw   Split Hamiltonian Monte Carlo revisited  ??
                Xiaohao Cai and   
            Jason D. McEwen and   
                Marcelo Pereyra   Proximal nested sampling for
                                  high-dimensional Bayesian model
                                  selection  . . . . . . . . . . . . . . . ??
        Theodore Papamarkou and   
             Farzana Nasrin and   
              Austin Lawson and   
                    Na Gong and   
               Orlando Rios and   
             Vasileios Maroulas   A random persistence diagram generator   ??
                  Alex Stringer   Automatic differentiation of Box--Cox
                                  transformations with application to
                                  random effects models for continuous
                                  non-normal response  . . . . . . . . . . ??
               Andrea Bucci and   
             Luigi Ippoliti and   
             Pasquale Valentini   Comparing unconstrained parametrization
                                  methods for return covariance matrix
                                  prediction . . . . . . . . . . . . . . . ??
              Tiandong Wang and   
                    Jun Yan and   
                 Yelie Yuan and   
                   Panpan Zhang   Generating directed networks with
                                  predetermined assortativity measures . . ??
       Belmiro P. M. Duarte and   
        Anthony C. Atkinson and   
            Nuno M. C. Oliveira   Optimal designs for dose-escalation
                                  trials and individual allocations in
                                  cohorts  . . . . . . . . . . . . . . . . ??
             Chew-Seng Chee and   
                   Byungtae Seo   Density deconvolution under a
                                  $k$-monotonicity constraint  . . . . . . ??
           Philip Greengard and   
                 Michael O'Neil   Efficient reduced-rank methods for
                                  Gaussian processes with eigenfunction
                                  expansions . . . . . . . . . . . . . . . ??

Statistics and Computing
Volume 32, Number 6, December, 2022

             Yannis G. Yatracos   Limitations of the Wasserstein MDE for
                                  univariate data  . . . . . . . . . . . . ??
             Swapnil Mishra and   
               Seth Flaxman and   
              Tresnia Berah and   
               Harrison Zhu and   
             Mikko Pakkanen and   
                    Samir Bhatt   $ \pi $ VAE: a stochastic process prior
                                  for Bayesian deep learning with MCMC . . ??
                 Linjie Wen and   
                     Jinglai Li   Affine-mapping based variational
                                  ensemble Kalman filter . . . . . . . . . ??
           Leigh Shlomovich and   
         Edward A. K. Cohen and   
                    Niall Adams   A parameter estimation method for
                                  multivariate binned Hawkes processes . . ??
                  Xiaoyu Ma and   
              Sylvain Sardy and   
            Nick Hengartner and   
            Nikolai Bobenko and   
                   Yen Ting Lin   A phase transition for finding needles
                                  in nonlinear haystacks with LASSO
                                  artificial neural networks . . . . . . . ??
             Elena Castilla and   
     Mar\'ìa Jaenada and   
     Nirian Mart\'ìn and   
                  Leandro Pardo   Robust approach for comparing two
                                  dependent normal populations through
                                  Wald-type tests based on Rényi's
                                  pseudodistance estimators  . . . . . . . ??
       Michael C. Rendleman and   
             Brian J. Smith and   
        Guadalupe Canahuate and   
             Terry A. Braun and   
             John M. Buatti and   
             Thomas L. Casavant   Representative random sampling: an
                                  empirical evaluation of a novel bin
                                  stratification method for model
                                  performance estimation . . . . . . . . . ??
            Jochen Bröcker   Uniform calibration tests for
                                  forecasting systems with small lead time ??
      Tobias Ròikjer and   
              Asger Hobolth and   
                   Kasper Munch   Graph-based algorithms for phase-type
                                  distributions  . . . . . . . . . . . . . ??
           Fabrizio Laurini and   
             Paul Fearnhead and   
                  Jonathan Tawn   Limit theory and robust evaluation
                                  methods for the extremal properties of $
                                  {\rm GARCH}(p, q) $ processes  . . . . . ??
               Chunshan Liu and   
            Daniel R. Kowal and   
                Marina Vannucci   Dynamic and robust Bayesian graphical
                                  models . . . . . . . . . . . . . . . . . ??
                 Shiyuan He and   
                 Hanxuan Ye and   
                       Kejun He   Spline estimation of functional
                                  principal components via manifold
                                  conjugate gradient algorithm . . . . . . ??
             Alice Corbella and   
        Simon E. F. Spencer and   
              Gareth O. Roberts   Automatic zig-zag sampling in practice   ??
              Siavash Ameli and   
               Shawn C. Shadden   Interpolating log-determinant and trace
                                  of the powers of matrix \boldmath $ A +
                                  t B $  . . . . . . . . . . . . . . . . . ??
             Eric D. Schoen and   
         Pieter T. Eendebak and   
            Alan R. Vazquez and   
                     Peter Goos   Systematic enumeration of definitive
                                  screening designs  . . . . . . . . . . . ??
           Karl L. Hallgren and   
          Nicholas A. Heard and   
                 Niall M. Adams   Changepoint detection in
                                  non-exchangeable data  . . . . . . . . . ??


Statistics and Computing
Volume 33, Number 1, February, 2023

                 Zheyuan Li and   
                      Jiguo Cao   Automatic search intervals for the
                                  smoothing parameter in penalized splines ??
               Rico Krueger and   
           Michel Bierlaire and   
               Thomas Gasos and   
                 Prateek Bansal   Robust discrete choice models with
                                  t-distributed kernel errors  . . . . . . ??
           Francisco Vargas and   
           Andrius Ovsianas and   
            David Fernandes and   
              Mark Girolami and   
           Neil D. Lawrence and   
            Nikolas Nüsken   Bayesian learning via neural
                                  Schrödinger--Föllmer flows . . . . . . . . ??
           Michael Grabchak and   
             Piergiacomo Sabino   Efficient simulation of $p$-tempered $
                                  \alpha $-stable OU processes . . . . . . ??
          Marco Capó and   
         Aritz Pérez and   
          José A. Lozano   LASSO for streaming data with adaptative
                                  filtering  . . . . . . . . . . . . . . . ??
        Angelos Alexopoulos and   
         Petros Dellaportas and   
            Michalis K. Titsias   Variance reduction for
                                  Metropolis--Hastings samplers  . . . . . ??
            Alan R. Vazquez and   
              Weng Kee Wong and   
                     Peter Goos   Constructing two-level $ Q_B $-optimal
                                  screening designs using mixed-integer
                                  programming and heuristic algorithms . . ??
             Joris Bierkens and   
          Sebastiano Grazzi and   
       Frank van der Meulen and   
                 Moritz Schauer   Sticky PDMP samplers for sparse and
                                  local inference problems . . . . . . . . ??
                   Si-Yu Yi and   
                  Yong-Dao Zhou   Model-free global likelihood subsampling
                                  for massive data . . . . . . . . . . . . ??
               Nha Vo-Thanh and   
              Hans-Peter Piepho   Bayesian $A$-optimal two-phase designs
                                  with a single blocking factor in each
                                  phase  . . . . . . . . . . . . . . . . . ??
              Anna L. Smith and   
                 Tian Zheng and   
                  Andrew Gelman   Prediction scoring of data-driven
                                  discoveries for reproducible research    ??
               Zhirong Yang and   
                 Yuwei Chen and   
                Denis Sedov and   
               Samuel Kaski and   
                 Jukka Corander   Stochastic cluster embedding . . . . . . ??
                  Shufei Ge and   
                Shijia Wang and   
                  Lloyd Elliott   Shape modeling with spline partitions    ??
                   Luc Pronzato   Performance analysis of greedy
                                  algorithms for minimising a Maximum Mean
                                  Discrepancy  . . . . . . . . . . . . . . ??
                  Rou Zhong and   
                 Shishi Liu and   
                Haocheng Li and   
                 Jingxiao Zhang   Sparse logistic functional principal
                                  component analysis for binary data . . . ??
              Lukas Cironis and   
             Jan Palczewski and   
            Georgios Aivaliotis   Automatic model training under
                                  restrictive time constraints . . . . . . ??
      Gabriel Riutort-Mayol and   
Paul-Christian Bürkner and   
        Michael R. Andersen and   
                 Arno Solin and   
                    Aki Vehtari   Practical Hilbert space approximate
                                  Bayesian Gaussian processes for
                                  probabilistic programming  . . . . . . . ??
            Vojtech Kejzlar and   
                Tapabrata Maiti   Variational inference with vine copulas:
                                  an efficient approach for Bayesian
                                  computer model calibration . . . . . . . ??
              Mohamed Maama and   
                 Ajay Jasra and   
                 Hernando Ombao   Bayesian parameter inference for
                                  partially observed stochastic
                                  differential equations driven by
                                  fractional Brownian motion . . . . . . . ??
              Nikolai Spuck and   
            Matthias Schmid and   
                  Nils Heim and   
        Ute Klarmann-Schulz and   
          Achim Hörauf and   
                  Moritz Berger   Flexible tree-structured regression
                                  models for discrete event times  . . . . ??
           Victor Freguglia and   
                Nancy L. Garcia   Detecting renewal states in chains of
                                  variable length via intrinsic Bayes
                                  factors  . . . . . . . . . . . . . . . . ??
                 Andrew M. Raim   Direct sampling with a step function . . ??
            Kamran Pentland and   
    Massimiliano Tamborrino and   
             T. J. Sullivan and   
             James Buchanan and   
                    L. C. Appel   GParareal: a time-parallel ODE solver
                                  using Gaussian process emulation . . . . ??
                 Lucas Kock and   
                Nadja Klein and   
                  David J. Nott   Correction to: Variational inference and
                                  sparsity in high-dimensional deep
                                  Gaussian mixture models  . . . . . . . . ??
Lisa Gaedke-Merzhäuser and   
          Janet van Niekerk and   
                Olaf Schenk and   
               Håvard Rue   Parallelized integrated nested Laplace
                                  approximations for fast Bayesian
                                  inference  . . . . . . . . . . . . . . . ??
             Pekka Korhonen and   
          Francis K. C. Hui and   
                 Jenni Niku and   
                  Sara Taskinen   Fast and universal estimation of latent
                                  variable models using extended
                                  variational approximations . . . . . . . ??
                Yeonjoo Lee and   
      Natalia Rojas-Perilla and   
               Marina Runge and   
                    Timo Schmid   Variable selection using conditional AIC
                                  for linear mixed models with data-driven
                                  transformations  . . . . . . . . . . . . ??
               Thomas Rusch and   
               Patrick Mair and   
                    Kurt Hornik   Structure-based hyperparameter selection
                                  with Bayesian optimization in
                                  multidimensional scaling . . . . . . . . ??
              Arnaud Poinas and   
           Rémi Bardenet   On proportional volume sampling for
                                  experimental design in general spaces    ??
                Junyi Zhang and   
                Angelos Dassios   Truncated Poisson--Dirichlet
                                  approximation for Dirichlet process
                                  hierarchical models  . . . . . . . . . . ??
          Hiroshi Yamashita and   
            Hideyuki Suzuki and   
                Kazuyuki Aihara   Entropic herding . . . . . . . . . . . . ??
  Katherine A. L. Valeriano and   
       Christian E. Galarza and   
               Larissa A. Matos   Moments and random number generation for
                                  the truncated elliptical family of
                                  distributions  . . . . . . . . . . . . . ??
        Atlanta Chakraborty and   
              David J. Nott and   
    Christopher C. Drovandi and   
           David T. Frazier and   
                Scott A. Sisson   Modularized Bayesian analyses and
                                  cutting feedback in likelihood-free
                                  inference  . . . . . . . . . . . . . . . ??
              Daniel Ahfock and   
           William J. Astle and   
              Sylvia Richardson   On randomized sketching algorithms and
                                  the Tracy--Widom law . . . . . . . . . . ??
          Bradley Wakefield and   
                Yan-Xia Lin and   
             Rathin Sarathy and   
        Krishnamurty Muralidhar   Moment-based density estimation of
                                  confidential micro-data: a computational
                                  statistics approach  . . . . . . . . . . ??

Statistics and Computing
Volume 33, Number 2, April, 2023

        Belén Pulido and   
     Alba M. Franco-Pereira and   
                  Rosa E. Lillo   A fast epigraph and hypograph-based
                                  approach for clustering functional data  ??
         David Rügamer and   
      Philipp F. M. Baumann and   
               Thomas Kneib and   
                Torsten Hothorn   Probabilistic time series forecasts with
                                  autoregressive transformation models . . ??
                   Li-Pang Chen   De-noising boosting methods for variable
                                  selection and estimation subject to
                                  error-prone variables  . . . . . . . . . ??
            Shouto Yonekura and   
             Shonosuke Sugasawa   Adaptation of the tuning parameter in
                                  general Bayesian inference with robust
                                  divergence . . . . . . . . . . . . . . . ??
               Eya Ben Amar and   
          Nadhir Ben Rached and   
      Abdul-Lateef Haji-Ali and   
            Raúl Tempone   State-dependent importance sampling for
                                  estimating expectations of functionals
                                  of sums of independent random variables  ??
     Clément Duhamel and   
      Céline Helbert and   
        Miguel Munoz Zuniga and   
   Clémentine Prieur and   
              Delphine Sinoquet   A SUR version of the Bichon criterion
                                  for excursion set estimation . . . . . . ??
Marko Järvenpää and   
                 Jukka Corander   On predictive inference for intractable
                                  models via approximate Bayesian
                                  computation  . . . . . . . . . . . . . . ??
                Huibin Weng and   
                 Olivier Parent   Beyond homophilic dyadic interactions:
                                  the impact of network formation on
                                  individual outcomes  . . . . . . . . . . ??
                 Ionut Paun and   
              Dirk Husmeier and   
                Colin J. Torney   Stochastic variational inference for
                                  scalable non-stationary Gaussian process
                                  regression . . . . . . . . . . . . . . . ??
                Zhuang Yang and   
                          Li Ma   Adaptive step size rules for stochastic
                                  optimization in large-scale learning . . ??
               Gery Geenens and   
         Alicia Nieto-Reyes and   
              Giacomo Francisci   Statistical depth in abstract metric
                                  spaces . . . . . . . . . . . . . . . . . ??
           Ensiyeh Nezakati and   
              Eugen Pircalabelu   Unbalanced distributed estimation and
                                  inference for the precision matrix in
                                  Gaussian graphical models  . . . . . . . ??
       Christopher J. Geoga and   
                 Oana Marin and   
             Michel Schanen and   
               Michael L. Stein   Fitting Matérn smoothness parameters
                                  using automatic differentiation  . . . . ??
           Mateusz B. Majka and   
        Marc Sabate-Vidales and   
                 Lukasz Szpruch   Multi-index antithetic stochastic
                                  gradient algorithm . . . . . . . . . . . ??
Iván Gutiérrez and   
      Luis Gutiérrez and   
                 Danilo Alvares   A new flexible Bayesian hypothesis test
                                  for multivariate data  . . . . . . . . . ??
João Victor B. de Freitas and   
         Caio L. N. Azevedo and   
        Juvêncio S. Nobre   A stochastic approximation ECME
                                  algorithm to semi-parametric scale
                                  mixtures of centred skew normal
                                  regression models  . . . . . . . . . . . ??
          Al-Fahad Al-Qadhi and   
            Carey E. Priebe and   
             Hayden S. Helm and   
                 Vince Lyzinski   Subgraph nomination: query by example
                                  subgraph retrieval in networks . . . . . ??
         Philipp Sterzinger and   
               Ioannis Kosmidis   Maximum softly-penalized likelihood for
                                  mixed effects logistic regression  . . . ??
            Zaida C. Quiroz and   
           Marcos O. Prates and   
               Dipak K. Dey and   
              H.åvard Rue   Fast Bayesian inference of block Nearest
                                  Neighbor Gaussian models for large data  ??
             Edoardo Redivo and   
              Cinzia Viroli and   
              Alessio Farcomeni   Quantile-distribution functions and
                                  their use for classification, with
                                  application to na\"\ive Bayes
                                  classifiers  . . . . . . . . . . . . . . ??

Statistics and Computing
Volume 33, Number 3, June, 2023

            Myeongjong Kang and   
              Matthias Katzfuss   Correlation-based sparse inverse
                                  Cholesky factorization for fast
                                  Gaussian-process inference . . . . . . . ??
              Xiaoxiao Zhou and   
                   Xinyuan Song   Functional concurrent hidden Markov
                                  model  . . . . . . . . . . . . . . . . . ??
        Chiheb Ben Hammouda and   
          Nadhir Ben Rached and   
        Raúl Tempone and   
                Sophia Wiechert   Learning-based importance sampling via
                                  stochastic optimal control for
                                  stochastic reaction networks . . . . . . ??
              Chien-Yu Peng and   
              Yi-Shian Dong and   
                  Tsai-Hung Fan   The first-passage-time moments for the
                                  Hougaard process and its
                                  Birnbaum--Saunders approximation . . . . ??
          Filippo Antonazzo and   
       Christophe Biernacki and   
              Christine Keribin   Frugal Gaussian clustering of huge
                                  imbalanced datasets through a
                                  bin-marginal approach  . . . . . . . . . ??
                Diala Hawat and   
          Guillaume Gautier and   
       Rémi Bardenet and   
    Raphaël Lachi\`eze-Rey   On estimating the structure factor of a
                                  point process, with applications to
                                  hyperuniformity  . . . . . . . . . . . . ??
                      Xin Liang   On the optimality of the Oja's algorithm
                                  for online PCA . . . . . . . . . . . . . ??
        Håkon Gryvill and   
         Håkon Tjelmeland   A sparse matrix formulation of
                                  model-based ensemble Kalman filter . . . ??
               Marno Basson and   
             Tobias M. Louw and   
               Theresa R. Smith   Variational Tobit Gaussian Process
                                  Regression . . . . . . . . . . . . . . . ??
              Gersende Fort and   
                  Eric Moulines   Stochastic variable metric proximal
                                  gradient with variance reduction for
                                  non-convex composite optimization  . . . ??
            Jeremie Coullon and   
                 Leah South and   
             Christopher Nemeth   Efficient and generalizable tuning
                                  strategies for stochastic gradient MCMC  ??
                     Min Xu and   
                  Zhongfeng Qin   A Bayesian parametrized method for
                                  interval-valued regression models  . . . ??
                 Maolin Pan and   
                 Minggao Gu and   
                  Xianyi Wu and   
                    Xiaodan Fan   Globally and symmetrically identified
                                  Bayesian multinomial probit model  . . . ??
               Enes Makalic and   
              Daniel F. Schmidt   Maximum likelihood estimation of the
                                  Weibull distribution with reduced bias   ??
               Marc Lambert and   
         Silv\`ere Bonnabel and   
                   Francis Bach   The limited-memory recursive variational
                                  Gaussian approximation (L-RVGA)  . . . . ??
            Meadhbh O'Neill and   
                    Kevin Burke   Variable selection using a smooth
                                  information criterion for distributional
                                  regression models  . . . . . . . . . . . ??
                 Yujia Ding and   
                  Qidi Peng and   
             Zhengming Song and   
                    Hansen Chen   Variable selection and regularization
                                  via arbitrary rectangle-range
                                  generalized elastic net  . . . . . . . . ??
              Kangning Wang and   
                     Shaomin Li   Distributed statistical optimization for
                                  non-randomly stored big data with
                                  application to penalized learning  . . . ??
                 Yiming Liu and   
              Shaochen Wang and   
                      Wang Zhou   General Jackknife empirical likelihood
                                  and its applications . . . . . . . . . . ??

Statistics and Computing
Volume 33, Number 4, August, 2023

                 Ilsuk Kang and   
                 Hosik Choi and   
             Young Joo Yoon and   
              Junyoung Park and   
              Soon-Sun Kwon and   
                  Cheolwoo Park   Fréchet distance-based cluster analysis
                                  for multi-dimensional functional data    ??
              Vaidehi Dixit and   
                    Ryan Martin   A PRticle filter algorithm for
                                  nonparametric estimation of multivariate
                                  mixing distributions . . . . . . . . . . ??
    Alessandro Mastrototaro and   
                   Jimmy Olsson   Adaptive online variance estimation in
                                  particle filters: the ALVar estimator    ??
                 Chen Huang and   
                 Jieli Ding and   
                    Yanqin Feng   A quadratic upper bound algorithm for
                                  regression analysis of credit risk under
                                  the proportional hazards model with
                                  case-cohort data . . . . . . . . . . . . ??
              Xiaodong Yang and   
                     Jun S. Liu   Convergence rate of multiple-try
                                  Metropolis independent sampler . . . . . ??
            Ben Bettisworth and   
        Alexander I. Jordan and   
          Alexandros Stamatakis   Phylourny: efficiently calculating
                                  elimination tournament win probabilities
                                  via phylogenetic methods . . . . . . . . ??
             Pete Philipson and   
                     Alan Huang   A fast look-up method for Bayesian
                                  mean-parameterised
                                  Conway--Maxwell--Poisson regression
                                  models . . . . . . . . . . . . . . . . . ??
                 Imke Botha and   
                Robert Kohn and   
                 Leah South and   
           Christopher Drovandi   Automatically adapting the number of
                                  state particles in SMC$^2$ . . . . . . . ??
             Tianfang Zhang and   
            Rasmus Bokrantz and   
                   Jimmy Olsson   A similarity-based Bayesian
                                  mixture-of-experts model . . . . . . . . ??
            Paul G. Beckman and   
       Christopher J. Geoga and   
           Michael L. Stein and   
                 Mihai Anitescu   Scalable computations for nonstationary
                                  Gaussian processes . . . . . . . . . . . ??
            Armin Eftekhari and   
                Luis Vargas and   
      Konstantinos C. Zygalakis   The forward-backward envelope for
                                  sampling with the overdamped Langevin
                                  algorithm  . . . . . . . . . . . . . . . ??
             Haixiang Zhang and   
                         Xin Li   A framework for mediation analysis with
                                  massive data . . . . . . . . . . . . . . ??
          Efstratios Palias and   
               Ata Kabán   The effect of intrinsic dimension on the
                                  Bayes-error of projected quadratic
                                  discriminant classification  . . . . . . ??
                 Zishu Zhan and   
                Xiangjie Li and   
                 Jingxiao Zhang   Partial replacement imputation
                                  estimation for partially linear models
                                  with complex missing pattern covariates  ??
                 Shiwei Lan and   
                   Shuyi Li and   
                  Mirjeta Pasha   Bayesian spatiotemporal modeling for
                                  inverse problems . . . . . . . . . . . . ??
                  Sijing Li and   
                Cheng Zhang and   
               Zhiwen Zhang and   
                   Hongkai Zhao   A data-driven and model-based
                                  accelerated Hamiltonian Monte Carlo
                                  method for Bayesian elliptic inverse
                                  problems . . . . . . . . . . . . . . . . ??
                Anna Bonnet and   
    Miguel Martinez Herrera and   
                Maxime Sangnier   Inference of multivariate exponential
                                  Hawkes processes with inhibition and
                                  application to neuronal activity . . . . ??

Statistics and Computing
Volume 33, Number 5, October, 2023

            Walter R. Gilks and   
              Lukas Cironis and   
                  Stuart Barber   Wavelet Monte Carlo: a principle for
                                  sampling from complex distributions  . . ??
              Robin Richter and   
            Shankar Bhamidi and   
                 Sach Mukherjee   Improved baselines for causal structure
                                  learning on interventional data  . . . . ??
         Andreas Anastasiou and   
          Angelos Papanastasiou   Generalized multiple change-point
                                  detection in the structure of
                                  multivariate, possibly high-dimensional,
                                  data sequences . . . . . . . . . . . . . ??
         Rémi Boutin and   
          Charles Bouveyron and   
                Pierre Latouche   Embedded topics in the stochastic block
                                  model  . . . . . . . . . . . . . . . . . ??
                  Ruiqi Liu and   
                Ganggang Xu and   
                  Zuofeng Shang   Distributed adaptive nearest neighbor
                                  classifier: algorithm and theory . . . . ??
               Xinzhu Liang and   
               Shangda Yang and   
            Simon L. Cotter and   
                 Kody J. H. Law   A randomized multi-index sequential
                                  Monte Carlo method . . . . . . . . . . . ??
             Marta Crispino and   
           Cristina Mollica and   
             Valerio Astuti and   
                  Luca Tardella   Efficient and accurate inference for
                                  mixtures of Mallows models with Spearman
                                  distance . . . . . . . . . . . . . . . . ??
          Maicon J. Karling and   
             Marc G. Genton and   
             Simos G. Meintanis   Goodness-of-fit tests for multivariate
                                  skewed distributions based on the
                                  characteristic function  . . . . . . . . ??
         Jessica E. Forsyth and   
           Ali H. Al-Anbaki and   
             Berenika Plusa and   
                Simon L. Cotter   Unlabelled landmark matching via
                                  Bayesian data selection, and application
                                  to cell matching across imaging
                                  modalities . . . . . . . . . . . . . . . ??
                  Xinmin Li and   
               Haozhe Liang and   
       Wolfgang Härdle and   
                      Hua Liang   Use generalized linear models or
                                  generalized partially linear models? . . ??
                  Yanxin Li and   
             Antonio Linero and   
              Stephen G. Walker   Latent uniform samplers on multivariate
                                  binary spaces  . . . . . . . . . . . . . ??
      Julien Demange-Chryst and   
     François Bachoc and   
      Jérôme Morio   Efficient estimation of multiple
                                  expectations with the same sample by
                                  adaptive importance sampling and control
                                  variates . . . . . . . . . . . . . . . . ??
            Gonzalo Vicente and   
                 Aritz Adin and   
        Tomás Goicoa and   
  Mar\'ìa Dolores Ugarte   High-dimensional order-free multivariate
                                  spatial disease mapping  . . . . . . . . ??
              Jason Hou-Liu and   
                 Ryan P. Browne   Generalized linear models for massive
                                  data via doubly-sketching  . . . . . . . ??
            Michail Tsagris and   
          Abdulaziz Alenazi and   
                 Connie Stewart   Flexible non-parametric regression
                                  models for compositional response data
                                  with zeros . . . . . . . . . . . . . . . ??
Eduardo García-Portugués and   
           Arturo Prieto-Tirado   Toroidal PCA via density ridges  . . . . ??
   Henry Antonio Palasciano and   
                   Guy P. Nason   A test for the absence of aliasing or
                                  white noise in two-dimensional locally
                                  stationary wavelet processes . . . . . . ??
      Tomás Mrkvicka and   
            Mari Myllymäki   False discovery rate envelopes . . . . . ??
           Dean A. Bodenham and   
             Yoshinobu Kawahara   euMMD: efficiently computing the MMD
                                  two-sample test statistic for univariate
                                  data . . . . . . . . . . . . . . . . . . ??
             Mary Llewellyn and   
                  Ruth King and   
     V\'ìctor Elvira and   
                    Gordon Ross   A point mass proposal method for
                                  Bayesian state-space model fitting . . . ??
           Samuel I. Watson and   
                         Yi Pan   Evaluation of combinatorial optimisation
                                  algorithms for $c$-optimal experimental
                                  designs with correlated observations . . ??
                     Yan Li and   
                     Na Han and   
                Yuxiang Qin and   
                 Jing Zhang and   
                      Jinxia Su   Trans-cGAN: transformer-Unet-based
                                  generative adversarial networks for
                                  cross-modality magnetic resonance image
                                  synthesis  . . . . . . . . . . . . . . . ??
                    Yao Shi and   
               Wanchunzi Yu and   
                   John Stufken   Optimal designs for generalized linear
                                  mixed models based on the penalized
                                  quasi-likelihood method  . . . . . . . . ??
             Danilo Alvares and   
        Valeria Leiva-Yamaguchi   A two-stage approach for Bayesian joint
                                  models: reducing complexity while
                                  maintaining accuracy . . . . . . . . . . ??
              Ibrahim Merad and   
     Stéphane Ga\"\iffas   Robust supervised learning with
                                  coordinate gradient descent  . . . . . . ??
                 Jiahui Zou and   
               Chaoxia Yuan and   
                Xinyu Zhang and   
                 Guohua Zou and   
                 Alan T. K. Wan   Model averaging for support vector
                                  classifier by cross-validation . . . . . ??
                    Sidi Wu and   
      Cédric Beaulac and   
                      Jiguo Cao   Neural networks for scalar input and
                                  functional output  . . . . . . . . . . . ??

Statistics and Computing
Volume 33, Number 6, December, 2023

                Junhan Fang and   
                    Grace Y. Yi   Bayesian analysis for matrix-variate
                                  logistic regression with/without
                                  response misclassification . . . . . . . ??


Statistics and Computing
Volume 34, Number 1, February, 2024

             Kin Yap Cheung and   
              Stephen M. S. Lee   High-dimensional local polynomial
                                  regression with variable selection and
                                  dimension reduction  . . . . . . . . . . ??
                Kipoong Kim and   
                   Sungkyu Jung   Integrative sparse reduced-rank
                                  regression via orthogonal rotation for
                                  analysis of high-dimensional
                                  multi-source data  . . . . . . . . . . . ??
                     Liugen Xue   Empirical likelihood and estimation in
                                  single-index varying-coefficient models
                                  with censored data . . . . . . . . . . . ??
                     Xin Li and   
                      Dongya Wu   Sparse estimation in high-dimensional
                                  linear errors-in-variables regression
                                  via a covariate relaxation method  . . . ??
  Issam-Ali Moindjié and   
          Sophie Dabo-Niang and   
                 Cristian Preda   Classification of multivariate
                                  functional data on different domains
                                  with Partial Least Squares approaches    ??
      Ines Ortega-Fernandez and   
              Marta Sestelo and   
             Nora M. Villanueva   Explainable generalized additive neural
                                  networks with independent neural network
                                  training . . . . . . . . . . . . . . . . ??
                Arjun Lakra and   
       Buddhananda Banerjee and   
               Arnab Kumar Laha   A data-adaptive method for outlier
                                  detection from functional data . . . . . ??
             Jingjing Jiang and   
               Chunjie Wang and   
                   Deng Pan and   
                   Xinyuan Song   Transformation models with informative
                                  partly interval-censored data  . . . . . ??
    Lucca Portes Cavalheiro and   
              Simon Bernard and   
          Jean Paul Barddal and   
                 Laurent Heutte   Random forest kernel for high-dimension
                                  low sample size classification . . . . . ??
          Hsin-Hsiung Huang and   
                    Feng Yu and   
                   Xing Fan and   
                     Teng Zhang   A framework of regularized low-rank
                                  matrix models for regression and
                                  classification . . . . . . . . . . . . . ??
          Dmytro Perepolkin and   
          Benjamin Goodrich and   
                 Ullrika Sahlin   Hybrid elicitation and
                                  quantile-parametrized likelihood . . . . ??
      Michaël Allouche and   
     Stéphane Girard and   
                 Emmanuel Gobet   Estimation of extreme quantiles from
                                  heavy-tailed distributions with neural
                                  networks . . . . . . . . . . . . . . . . ??
 Carlos Tadeu Pagani Zanini and   
             Helio S. Migon and   
                   Ronaldo Dias   Variational inference for Bayesian
                                  bridge regression  . . . . . . . . . . . ??
               Rahul Biswas and   
              Somabha Mukherjee   Consistent causal inference from time
                                  series with PC algorithm and its
                                  time-aware extension . . . . . . . . . . ??
           Takahiro Onizuka and   
         Shintaro Hashimoto and   
             Shonosuke Sugasawa   Fast and locally adaptive Bayesian
                                  quantile smoothing using calibrated
                                  variational approximations . . . . . . . ??
             Pedro L. Ramos and   
          Nixon Jerez-Lillo and   
       Francisco A. Segovia and   
             Osafu A. Egbon and   
              Francisco Louzada   Power-law distribution in pieces: a
                                  semi-parametric approach with change
                                  point detection  . . . . . . . . . . . . ??
      Shrijita Bhattacharya and   
                 Zihuan Liu and   
                Tapabrata Maiti   Comprehensive study of variational Bayes
                                  classification for dense deep neural
                                  networks . . . . . . . . . . . . . . . . ??
               Marco Alf\`o and   
             Nicola Salvati and   
            Ranalli M. Giovanna   Correction to: Finite mixtures of
                                  quantile and $M$-quantile regression
                                  models . . . . . . . . . . . . . . . . . ??
           Deepak Prajapati and   
                   Ayan Pal and   
                  Debasis Kundu   A finite mixture model for multiple
                                  dependent competing risks with
                                  applications of automotive warranty
                                  claims data  . . . . . . . . . . . . . . ??
              Daniel Rudolf and   
              Philip Schär   Dimension-independent spectral gap of
                                  polar slice sampling . . . . . . . . . . ??
             Lorenzo Zambon and   
            Dario Azzimonti and   
                 Giorgio Corani   Efficient probabilistic reconciliation
                                  of forecasts for real-valued and count
                                  time series  . . . . . . . . . . . . . . ??
                 M. Barroso and   
         C. M. Alaíz and   
           J. L. Torrecilla and   
            A. Fernández   Functional diffusion maps  . . . . . . . ??
               Wanwan Liang and   
                     Ben Wu and   
                       Bo Zhang   Modeling volatility for high-frequency
                                  data with rounding error: a
                                  nonparametric Bayesian approach  . . . . ??
               Rongqian Sun and   
                   Xinyuan Song   Bayesian tree-based heterogeneous
                                  mediation analysis with a time-to-event
                                  outcome  . . . . . . . . . . . . . . . . ??
          Luis E. Nieto-Barajas   Multivariate and regression models for
                                  directional data based on projected Pólya
                                  trees  . . . . . . . . . . . . . . . . . ??
               Aisha Fayomi and   
            Yannis Pantazis and   
            Michail Tsagris and   
              Andrew T. A. Wood   Cauchy robust principal component
                                  analysis with applications to
                                  high-dimensional data sets . . . . . . . ??
           Alexander Aushev and   
                 Thong Tran and   
              Henri Pesonen and   
               Andrew Howes and   
                   Samuel Kaski   Likelihood-free inference in state-space
                                  models with unknown dynamics . . . . . . ??
           Michael Grabchak and   
                  Xingnan Zhang   Representation and simulation of
                                  multivariate Dickman distributions and
                                  Vervaat perpetuities . . . . . . . . . . ??
              Gavin Collins and   
              Devin Francom and   
                  Kellin Rumsey   Bayesian projection pursuit regression   ??
         Jorge Loría and   
                 Anindya Bhadra   SURE-tuned bridge regression . . . . . . ??
              Schalk Daniel and   
               Bischl Bernd and   
             Rügamer David   Privacy-preserving and lossless
                                  distributed estimation of
                                  high-dimensional generalized additive
                                  mixed models . . . . . . . . . . . . . . ??
                  Tabea Rebafka   Model-based clustering of multiple
                                  networks with a hierarchical algorithm   ??
               Yaman Kindap and   
                  Simon Godsill   Point process simulation of generalised
                                  hyperbolic Lévy processes . . . . . . . . ??
             Pawe\l D\lotko and   
             Niklas Hellmer and   
           \Lukasz Stettner and   
              Rafa\l Topolnicki   Topology-driven goodness-of-fit tests in
                                  arbitrary dimensions . . . . . . . . . . ??
               Guanhua Fang and   
               Owen G. Ward and   
                     Tian Zheng   Online estimation and community
                                  detection of network point processes for
                                  event streams  . . . . . . . . . . . . . ??
               Yeonjoo Park and   
                Hee-Seok Oh and   
                      Yaeji Lim   A data-adaptive dimension reduction for
                                  functional data via penalized low-rank
                                  approximation  . . . . . . . . . . . . . ??
                 David Oechsler   Lévy Langevin Monte Carlo . . . . . . . . ??
                    Rakhi Singh   Pareto-efficient designs for multi- and
                                  mixed-level supersaturated designs . . . ??
                     Liugen Xue   Doubly robust estimation and robust
                                  empirical likelihood in generalized
                                  linear models with missing responses . . ??
              Chunhui Liang and   
                     Wenqing Ma   Heterogeneous analysis for clustered
                                  data using grouped finite mixture models ??
                Weiwei Wang and   
                 Yuqiang Li and   
                      Xianyi Wu   Off-policy evaluation for tabular
                                  reinforcement learning with synthetic
                                  trajectories . . . . . . . . . . . . . . ??
             M. Alfó and   
               M. F. Marino and   
                    F. Martella   Biclustering multivariate discrete
                                  longitudinal data  . . . . . . . . . . . ??
                   Yan Chen and   
               Shuixin Fang and   
                         Lu Lin   Renewable composite quantile method and
                                  algorithm for nonparametric models with
                                  streaming data . . . . . . . . . . . . . ??
       Bernard W. Silverman and   
                   Lax Chan and   
                   Kyle Vincent   Bootstrapping multiple systems estimates
                                  to account for model selection . . . . . ??
                Hanwen Xuan and   
             Luca Maestrini and   
                  Feng Chen and   
                  Clara Grazian   Stochastic variational inference for
                                  GARCH models . . . . . . . . . . . . . . ??
           Jan Vávra and   
    Arno\vst Komárek and   
          Bettina Grün and   
        Gertraud Malsiner-Walli   Clusterwise multivariate regression of
                                  mixed-type panel data  . . . . . . . . . ??
            Shang-Ying Shiu and   
              Yen-Shiu Chin and   
                Szu-Han Lin and   
                   Ting-Li Chen   Randomized self-updating process for
                                  clustering large-scale data  . . . . . . ??
           Peter A. Whalley and   
              Daniel Paulin and   
            Benedict Leimkuhler   Randomized time Riemannian Manifold
                                  Hamiltonian Monte Carlo  . . . . . . . . ??
                Laixu Shang and   
            Qian-Zhen Zheng and   
               Ping-Feng Xu and   
                    Na Shan and   
                   Man-Lai Tang   A generalized expectation model
                                  selection algorithm for latent variable
                                  selection in multidimensional item
                                  response theory models . . . . . . . . . ??
             David J. Warne and   
         Oliver J. Maclaren and   
             Elliot J. Carr and   
         Matthew J. Simpson and   
           Christopher Drovandi   Generalised likelihood profiles for
                                  models with intractable likelihoods  . . ??
             Linh H. Nghiem and   
          Francis K. C. Hui and   
              Samuel Muller and   
                    A. H. Welsh   Likelihood-based surrogate dimension
                                  reduction  . . . . . . . . . . . . . . . ??
                Hung-Kai Pi and   
                Mei-Hui Guo and   
              Ray-Bing Chen and   
                Shih-Feng Huang   ECOPICA: empirical copula-based
                                  independent component analysis . . . . . ??
              Marion Naveau and   
     Guillaume Kon Kam King and   
             Renaud Rincent and   
            Laure Sansonnet and   
                  Maud Delattre   Bayesian high-dimensional covariate
                                  selection in non-linear mixed-effects
                                  models using the SAEM algorithm  . . . . ??
       Étienne David and   
                Jean Bellot and   
           Sylvain Le Corff and   
            Luc Lehéricy   Identifiability of discrete input-output
                                  hidden Markov models with external
                                  signals  . . . . . . . . . . . . . . . . ??
  Antoine Godichon-Baggioni and   
          Stéphane Robin   A robust model-based clustering based on
                                  the geometric median and the median
                                  covariation matrix . . . . . . . . . . . ??
              Yuhyeong Jang and   
     Raanju R. Sundararajan and   
           Wagner Barreto-Souza   A multivariate heavy-tailed
                                  integer-valued GARCH process with EM
                                  algorithm-based inference  . . . . . . . ??
             Noa Kallioinen and   
              Topi Paananen and   
Paul-Christian Bürkner and   
                    Aki Vehtari   Detecting and diagnosing prior and
                                  likelihood sensitivity with
                                  power-scaling  . . . . . . . . . . . . . ??
    Alexandre Mösching and   
              Lutz Dümbgen   Estimation of a likelihood ratio ordered
                                  family of distributions  . . . . . . . . ??
                   Kai Yang and   
           Masoud Asgharian and   
                Sahir Bhatnagar   Accelerated gradient methods for sparse
                                  statistical learning with nonconvex
                                  penalties  . . . . . . . . . . . . . . . ??
              Frank Nielsen and   
                 Kazuki Okamura   On the $f$-divergences between densities
                                  of a multivariate location or scale
                                  family . . . . . . . . . . . . . . . . . ??
             Filippo Pagani and   
        Augustin Chevallier and   
                  Sam Power and   
               Thomas House and   
                   Simon Cotter   NuZZ: Numerical Zig-Zag for general
                                  models . . . . . . . . . . . . . . . . . ??

Statistics and Computing
Volume 34, Number 2, April, 2024

                 Luca Brusa and   
             Fulvia Pennoni and   
           Francesco Bartolucci   Maximum likelihood estimation for
                                  discrete latent variable models via
                                  evolutionary algorithms  . . . . . . . . ??
          Naruesorn Prabpon and   
            Kitakorn Homsud and   
               Pat Vatiwutipong   Nonparametric Bayesian online change
                                  point detection using kernel density
                                  estimation with nonparametric hazard
                                  function . . . . . . . . . . . . . . . . ??
             Etienne Côme   Bayesian contiguity constrained
                                  clustering . . . . . . . . . . . . . . . ??
              Cheng-Der Fuh and   
                  Chuan-Ju Wang   Efficient exponential tilting with
                                  applications . . . . . . . . . . . . . . ??
            Beatrice Foroni and   
                 Luca Merlo and   
                   Lea Petrella   Expectile hidden Markov regression
                                  models for analyzing cryptocurrency
                                  returns  . . . . . . . . . . . . . . . . ??
             Chengqian Xian and   
      Camila P. E. de Souza and   
                 Wenqing He and   
        Felipe F. Rodrigues and   
                   Renfang Tian   Variational Bayesian analysis of
                                  survival data using a log-logistic
                                  accelerated failure time model . . . . . ??
                Luke Mosley and   
          Tak-Shing T. Chan and   
                   Alex Gibberd   The sparse dynamic factor model: a
                                  regularised quasi-maximum likelihood
                                  approach . . . . . . . . . . . . . . . . ??
                    Shan Lu and   
               Wenjing Wang and   
                      Rong Guan   Kent feature embedding for
                                  classification of compositional data
                                  with zeros . . . . . . . . . . . . . . . ??
                  Hongyu Wu and   
            Jonathan R. Bradley   Global-local shrinkage multivariate
                                  logit-beta priors for multiple
                                  response-type data . . . . . . . . . . . ??
           Carlos Echegoyen and   
         Aritz Pérez and   
Guzmán Santafé and   
     Unai Pérez-Goya and   
    María Dolores Ugarte   Large-scale unsupervised spatio-temporal
                                  semantic analysis of vast regions from
                                  satellite images sequences . . . . . . . ??
                Keith Levin and   
              Brenda Betancourt   Fast generation of exchangeable
                                  sequences of clusters data . . . . . . . ??
         Jose Ameijeiras-Alonso   A reliable data-based smoothing
                                  parameter selection method for circular
                                  kernel estimation  . . . . . . . . . . . ??
             Matheus Castro and   
               Caio Azevedo and   
           Juvêncio Nobre   A robust quantile regression for bounded
                                  variables based on the Kumaraswamy
                                  Rectangular distribution . . . . . . . . ??
                 Sarat Moka and   
              Benoit Liquet and   
                Houying Zhu and   
                  Samuel Muller   COMBSS: best subset selection via
                                  continuous optimization  . . . . . . . . ??
                     Esam Mahdi   New mixed portmanteau tests for time
                                  series models  . . . . . . . . . . . . . ??
                 Zehan Yang and   
               HaiYing Wang and   
                        Jun Yan   Subsampling approach for least squares
                                  fitting of semi-parametric accelerated
                                  failure time models to massive survival
                                  data . . . . . . . . . . . . . . . . . . ??
                 Ajay Jasra and   
             Hamza Ruzayqat and   
                        Amin Wu   Bayesian parameter inference for
                                  partially observed stochastic Volterra
                                  equations  . . . . . . . . . . . . . . . ??
                 Yushan Xue and   
                    Jie Ren and   
                       Bin Yang   Enmsp: an elastic-net multi-step
                                  screening procedure for high-dimensional
                                  regression . . . . . . . . . . . . . . . ??
                   Wan Tian and   
                  Zhongfeng Qin   The minimum covariance determinant
                                  estimator for interval-valued data . . . ??
            Francesco Amato and   
             Julien Jacques and   
            Isabelle Prim-Allaz   Clustering longitudinal ordinal data via
                                  finite mixture of matrix-variate
                                  distributions  . . . . . . . . . . . . . ??
            Nicholas Kissel and   
                   Lucas Mentch   Forward stability and model path
                                  selection  . . . . . . . . . . . . . . . ??
             Yannis G. Yatracos   Do applied statisticians prefer more
                                  randomness or less? Bootstrap or
                                  Jackknife? . . . . . . . . . . . . . . . ??
              Yuki Takazawa and   
                   Tomonari Sei   Maximum likelihood estimation of
                                  log-concave densities on tree space  . . ??
            Alex Ziyu Jiang and   
                 Abel Rodriguez   Improvements on scalable stochastic
                                  Bayesian inference methods for
                                  multivariate Hawkes process  . . . . . . ??
                   Xin Chen and   
                 Chang Deng and   
                 Shuaida He and   
                Runxiong Wu and   
                      Jia Zhang   High-dimensional sparse single-index
                                  regression via Hilbert--Schmidt
                                  independence criterion . . . . . . . . . ??
         Emanuele Borgonovo and   
             Elmar Plischke and   
       Clémentine Prieur   Total effects with constrained features  ??
                     Thomas Lux   Estimation of regime-switching
                                  diffusions via Fourier transforms  . . . ??
                Ruiting Hao and   
                  Xiaorong Yang   Multiple-output quantile regression
                                  neural network . . . . . . . . . . . . . ??
           Hanâ Lbath and   
         Alexander Petersen and   
                  Sophie Achard   Large-scale correlation screening under
                                  dependence for brain functional
                                  connectivity network inference . . . . . ??
          Alessandro Celani and   
           Paolo Pagnottoni and   
                    Galin Jones   Bayesian variable selection for matrix
                                  autoregressive models  . . . . . . . . . ??
                Xinyu Zhang and   
                Hongwei Shi and   
                 Niwen Zhou and   
                 Falong Tan and   
                         Xu Guo   Quantile generalized measures of
                                  correlation  . . . . . . . . . . . . . . ??
           Janice L. Scealy and   
           Kassel L. Hingee and   
               John T. Kent and   
              Andrew T. A. Wood   Robust score matching for compositional
                                  data . . . . . . . . . . . . . . . . . . ??
          Alessio Farcomeni and   
                   Marco Geraci   Quantile ratio regression  . . . . . . . ??

Statistics and Computing
Volume 34, Number 3, June, 2024

            Fengchuan Zhang and   
               Sanguo Zhang and   
                Shi-Ming Li and   
                   Mingyang Ren   Matrix regression heterogeneity analysis ??
                 Xia Junwen and   
                 Zhan Zishu and   
                 Zhang Jingxiao   Doubly robust estimation of optimal
                                  treatment regimes for survival data
                                  using an instrumental variable . . . . . ??
    Ian Meneghel Danilevicz and   
Valdério Anselmo Reisen and   
                  Pascal Bondon   Expectile and $M$-quantile regression
                                  for panel data . . . . . . . . . . . . . ??
       Fa\"\icel Chamroukhi and   
            Nhat Thien Pham and   
             Van H\`a Hoang and   
          Geoffrey J. McLachlan   Functional mixtures-of-experts . . . . . ??
                   Kes Ward and   
             Gaetano Romano and   
               Idris Eckley and   
                 Paul Fearnhead   A constant-per-iteration likelihood
                                  ratio test for online changepoint
                                  detection for exponential family models  ??
David Rodríguez-Vítores and   
           Carlos Matrán   Improving model choice in
                                  classification: an approach based on
                                  clustering of covariance matrices  . . . ??
           Jasmin Rühl and   
                Sarah Friedrich   Resampling-based confidence intervals
                                  and bands for the average treatment
                                  effect in observational studies with
                                  competing risks  . . . . . . . . . . . . ??
               Jungmin Shin and   
             Seunghyun Gwak and   
             Seung Jun Shin and   
                   Sungwan Bang   Simultaneous estimation and variable
                                  selection for a non-crossing multiple
                                  quantile regression using deep neural
                                  networks . . . . . . . . . . . . . . . . ??
           Abdelaati Daouia and   
            Gilles Stupfler and   
       Antoine Usseglio-Carleve   An expectile computation cookbook  . . . ??
               Sarah Leyder and   
           Jakob Raymaekers and   
                   Tim Verdonck   Generalized spherical principal
                                  component analysis . . . . . . . . . . . ??
                  Youwu Lin and   
                   Xin Zeng and   
                   Pei Wang and   
                Shuai Huang and   
                    Kok Lay Teo   Variable selection using axis-aligned
                                  random projections for partial
                                  least-squares regression . . . . . . . . ??
              Seungwoo Kang and   
                    Hee-Seok Oh   Novel sampling method for the von
                                  Mises--Fisher distribution . . . . . . . ??
                Chen Ouyang and   
            Chenkaixiang Lu and   
                 Xiong Zhao and   
               Ruping Huang and   
               Gonglin Yuan and   
                    Yiyan Jiang   Stochastic three-term conjugate gradient
                                  method with variance technique for
                                  non-convex learning  . . . . . . . . . . ??
            Carlo Cavicchia and   
             Maurizio Vichi and   
               Giorgia Zaccaria   Parsimonious ultrametric Gaussian
                                  mixture models . . . . . . . . . . . . . ??
                 Jonathan James   Automated generation of initial points
                                  for adaptive rejection sampling of
                                  log-concave distributions  . . . . . . . ??
                 Bao Anh Vu and   
              David Gunawan and   
          Andrew Zammit-Mangion   R-VGAL: a sequential variational Bayes
                                  algorithm for generalised linear mixed
                                  models . . . . . . . . . . . . . . . . . ??
             Frank Rotiroti and   
              Stephen G. Walker   Reversed particle filtering for hidden
                                  Markov models  . . . . . . . . . . . . . ??
               Xuejun Jiang and   
                Yakun Liang and   
                   Haofeng Wang   Screen then select: a strategy for
                                  correlated predictors in
                                  high-dimensional quantile regression . . ??
              Marion Naveau and   
     Guillaume Kon Kam King and   
             Renaud Rincent and   
            Laure Sansonnet and   
                  Maud Delattre   Correction to: Bayesian high-dimensional
                                  covariate selection in non-linear
                                  mixed-effects models using the SAEM
                                  algorithm  . . . . . . . . . . . . . . . ??
            Ilaria Bombelli and   
                 Maurizio Vichi   Parsimonious consensus hierarchies,
                                  partitions and fuzzy partitioning of a
                                  set of hierarchies . . . . . . . . . . . ??
                Ziyang Yang and   
            Idris A. Eckley and   
                 Paul Fearnhead   A communication-efficient, online
                                  changepoint detection method for
                                  monitoring distributed sensor networks   ??
Joaquín Martínez-Minaya and   
                    Haavard Rue   A flexible Bayesian tool for CoDa mixed
                                  models: logistic-normal distribution
                                  with Dirichlet covariance  . . . . . . . ??
               Dongrak Choi and   
                Woojung Bae and   
                    Jun Yan and   
                  Sangwook Kang   A general model-checking procedure for
                                  semiparametric accelerated failure time
                                  models . . . . . . . . . . . . . . . . . ??
           Yu-Chien Bo Ning and   
                      Ning Ning   Spike and slab Bayesian sparse principal
                                  component analysis . . . . . . . . . . . ??

Statistics and Computing
Volume 34, Number 4, August, 2024

                Alex Cooper and   
                Aki Vehtari and   
           Catherine Forbes and   
                Dan Simpson and   
                 Lauren Kennedy   Bayesian cross-validation by parallel
                                  Markov chain Monte Carlo . . . . . . . . ??
             Vladimir Pastukhov   Fused lasso nearly-isotonic signal
                                  approximation in general dimensions  . . ??
                 Matthias Templ   Robust multiple imputation with GAM  . . ??
                 Zuoxun Tan and   
                        Hu Yang   Group sparse structural smoothing
                                  recovery: model, statistical properties
                                  and algorithm  . . . . . . . . . . . . . ??
                 Eoghan O'Neill   Type I Tobit Bayesian Additive
                                  Regression Trees for censored outcome
                                  regression . . . . . . . . . . . . . . . ??
                 Mineaki Ohishi   Generalized fused Lasso for grouped data
                                  in generalized linear models . . . . . . ??
         Sphiwe B. Skhosana and   
         Salomon M. Millard and   
             Frans H. J. Kanfer   A modified EM-type algorithm to estimate
                                  semi-parametric mixtures of
                                  non-parametric regressions . . . . . . . ??
            Antoine Luciano and   
        Christian P. Robert and   
                 Robin J. Ryder   Insufficient Gibbs sampling  . . . . . . ??
           Gianluca Cubadda and   
     Francesco Giancaterini and   
                 Alain Hecq and   
                   Joann Jasiak   Optimization of the generalized
                                  covariance estimator in noncausal
                                  processes  . . . . . . . . . . . . . . . ??
             Ruhul Ali Khan and   
                   Ayan Pal and   
                  Debasis Kundu   Testing the goodness-of-fit of the
                                  stable distributions with applications
                                  to German stock index data and Bitcoin
                                  cryptocurrency data  . . . . . . . . . . ??
               Douglas P. Wiens   Jittering and clustering: strategies for
                                  the construction of robust designs . . . ??
           Abdelaati Daouia and   
            Gilles Stupfler and   
       Antoine Usseglio-Carleve   Bias-reduced and variance-corrected
                                  asymptotic Gaussian inference about
                                  extreme expectiles . . . . . . . . . . . ??
                    H. Chau and   
               J. L. Kirkby and   
               D. H. Nguyen and   
                  D. Nguyen and   
                  N. Nguyen and   
                      T. Nguyen   An efficient method to simulate
                                  diffusion bridges  . . . . . . . . . . . ??
             Yann McLatchie and   
                    Aki Vehtari   Efficient estimation and correction of
                                  selection-induced bias with order
                                  statistics . . . . . . . . . . . . . . . ??
                 Xiaoyan Li and   
               Xiaochao Xia and   
                   Zhimin Zhang   Poisson subsampling-based estimation for
                                  growing-dimensional expectile regression
                                  in massive data  . . . . . . . . . . . . ??
               Rafael Flock and   
                 Yiqiu Dong and   
               Felipe Uribe and   
                   Olivier Zahm   Certified coordinate selection for
                                  high-dimensional Bayesian inversion with
                                  Laplace prior  . . . . . . . . . . . . . ??
             Aude Sportisse and   
            Matthieu Marbac and   
             Fabien Laporte and   
              Gilles Celeux and   
               Claire Boyer and   
                Julie Josse and   
           Christophe Biernacki   Model-based clustering with missing not
                                  at random data . . . . . . . . . . . . . ??
             Brieuc Lehmann and   
                    Simon White   A Bayesian multilevel model for
                                  populations of networks using
                                  exponential-family random graphs . . . . ??
        Silius M. Vandeskog and   
               Sara Martino and   
             Raphaël Huser   An efficient workflow for modelling
                                  high-dimensional spatial extremes  . . . ??
        Patrick Zietkiewicz and   
               Ioannis Kosmidis   Bounded-memory adjusted scores
                                  estimation in generalized linear models
                                  with large data sets . . . . . . . . . . ??
               Tianming Bai and   
       Aretha L. Teckentrup and   
      Konstantinos C. Zygalakis   Gaussian processes for Bayesian inverse
                                  problems associated with linear partial
                                  differential equations . . . . . . . . . ??
        Rémy Abergel and   
            Olivier Bouaziz and   
            Grégory Nuel   A review on the Adaptive-Ridge Algorithm
                                  with several extensions  . . . . . . . . ??
          Diego I. Gallardo and   
        Marcelo Bourguignon and   
           José S. Romeo   Birnbaum--Saunders frailty regression
                                  models for clustered survival data . . . ??
         Wisdom Aselisewine and   
                      Suvra Pal   Enhancing cure rate analysis through
                                  integration of machine learning models:
                                  a comparative study  . . . . . . . . . . ??
      Sarah Elizabeth Heaps and   
                Ian Hyla Jermyn   Structured prior distributions for the
                                  covariance matrix in latent factor
                                  models . . . . . . . . . . . . . . . . . ??
                  Weitao Hu and   
                  Weiping Zhang   Flexible Bayesian quantile regression
                                  based on the generalized asymmetric
                                  Huberised-type distribution  . . . . . . ??
         Douglas O. Cardoso and   
João Domingos Gomes da Silva Junior and   
       Carla Silva Oliveira and   
              Celso Marques and   
           Laura Silva de Assis   Greedy recursive spectral bisection for
                                  modularity-bound hierarchical divisive
                                  community detection  . . . . . . . . . . ??

Statistics and Computing
Volume 34, Number 5, October, 2024

                     Jonas Latz   Correction to: Analysis of stochastic
                                  gradient descent in continuous time  . . ??
                  Ning Ning and   
                 Edward Ionides   Systemic infinitesimal over-dispersion
                                  on graphical dynamic models  . . . . . . ??
                   Hu Jiang and   
                 Liu Yiming and   
                      Zhou Wang   On weak convergence of quantile-based
                                  empirical likelihood process for ROC
                                  curves . . . . . . . . . . . . . . . . . ??
                 Logan Bell and   
          Nikhil Devanathan and   
                   Stephen Boyd   Efficient Shapley performance
                                  attribution for least-squares regression ??
                 Sude Gurer and   
              Han Lin Shang and   
             Abhijit Mandal and   
                  Ufuk Beyaztas   Locally sparse and robust partial least
                                  squares in scalar-on-function regression ??
          Fabiana Camattari and   
         Sabrina Guastavino and   
        Francesco Marchetti and   
              Michele Piana and   
              Emma Perracchione   Classifier-dependent feature selection
                                  via greedy methods . . . . . . . . . . . ??
                     Siu-Kui Au   A limit formula and a series expansion
                                  for the bivariate normal tail
                                  probability  . . . . . . . . . . . . . . ??
      Ines Ortega-Fernandez and   
              Marta Sestelo and   
             Nora M. Villanueva   Correction to: Explainable generalized
                                  additive neural networks with
                                  independent neural network training  . . ??
   Jean Steve Tamo Tchomgui and   
             Julien Jacques and   
          Guillaume Fraysse and   
            Vincent Barriac and   
       Stéphane Chretien   A mixture of experts regression model
                                  for functional response with functional
                                  covariates . . . . . . . . . . . . . . . ??
                  Louis Ohl and   
    Pierre-Alexandre Mattei and   
          Charles Bouveyron and   
      Mickaël Leclercq and   
               Arnaud Droit and   
Frédéric Precioso   Sparse and geometry-aware generalisation
                                  of the mutual information for joint
                                  discriminative clustering and feature
                                  selection  . . . . . . . . . . . . . . . ??
              Elvis Han Cui and   
               Zizhao Zhang and   
                  Weng Kee Wong   Optimal designs for nonlinear
                                  mixed-effects models using competitive
                                  swarm optimizer with mutated agents  . . ??
                Yifei Huang and   
                   Keren Li and   
            Abhyuday Mandal and   
                       Jie Yang   ForLion: a new algorithm for $D$-optimal
                                  designs under general parametric
                                  statistical models with mixed factors    ??
                 Canyi Chen and   
                  Zhengtian Zhu   Byzantine-robust and efficient
                                  distributed sparsity learning: a
                                  surrogate composite quantile regression
                                  approach . . . . . . . . . . . . . . . . ??
                   Jie Zeng and   
                  Guozhi Hu and   
                    Weihu Cheng   A Mallows-type model averaging estimator
                                  for ridge regression with randomly right
                                  censored data  . . . . . . . . . . . . . ??
                 Yoonah Lee and   
                   Seongoh Park   High-dimensional missing data imputation
                                  via undirected graphical model . . . . . ??
                 Xiaoyan Li and   
               Xiaochao Xia and   
                   Zhimin Zhang   Distributed subsampling for
                                  multiplicative regression  . . . . . . . ??
        Michael J. Hollaway and   
                Rebecca Killick   Detection of spatiotemporal
                                  changepoints: a generalised additive
                                  model approach . . . . . . . . . . . . . ??
               Guangbao Guo and   
                Haoyue Song and   
                     Lixing Zhu   The COR criterion for optimal subset
                                  selection in distributed estimation  . . ??
                Marcel Hirt and   
         Vasileios Kreouzis and   
             Petros Dellaportas   Learning variational autoencoders via
                                  MCMC speed measures  . . . . . . . . . . ??
          Anna De Magistris and   
        Valentina De Simone and   
              Elvira Romano and   
                Gerardo Toraldo   Roughness regularization for functional
                                  data analysis with free knots spline
                                  estimation . . . . . . . . . . . . . . . ??
               Hyejoon Park and   
                  Hyunjoong Kim   AR-ADASYN: angle radius-adaptive
                                  synthetic data generation approach for
                                  imbalanced learning  . . . . . . . . . . ??
                  Anne Poot and   
           Pierre Kerfriden and   
                 Iuri Rocha and   
             Frans van der Meer   A Bayesian approach to modeling finite
                                  element discretization error . . . . . . ??
              Simon Pfahler and   
                Peter Georg and   
              Rudolf Schill and   
               Maren Klever and   
             Lars Grasedyck and   
               Rainer Spang and   
                    Tilo Wettig   Taming numerical imprecision by adapting
                                  the KL divergence to negative
                                  probabilities  . . . . . . . . . . . . . ??
                 Bao Anh Vu and   
              David Gunawan and   
          Andrew Zammit-Mangion   Correction to: R-VGAL: a sequential
                                  variational Bayes algorithm for
                                  generalised linear mixed models  . . . . ??
                 Cheng Huan and   
               Xinyuan Song and   
                   Hongwei Yuan   Individualized causal mediation analysis
                                  with continuous treatment using
                                  conditional generative adversarial
                                  networks . . . . . . . . . . . . . . . . ??
               Mario Beraha and   
                Matteo Pegoraro   Wasserstein principal component analysis
                                  for circular measures  . . . . . . . . . ??
                    Bu Zhou and   
               Zhi Peng Ong and   
                 Jin-Ting Zhang   A new maximum mean discrepancy based
                                  two-sample test for equal distributions
                                  in separable metric spaces . . . . . . . ??
   Ingvild M. Helgòy and   
              Hans J. Skaug and   
                       Yushu Li   Sparse Bayesian learning using TMB
                                  (Template Model Builder) . . . . . . . . ??
            Samuel Stockman and   
           Daniel J. Lawson and   
           Maximilian J. Werner   SB-ETAS: using simulation based
                                  inference for scalable, likelihood-free
                                  inference for the ETAS model of
                                  earthquake occurrences . . . . . . . . . ??
                Huiling Liu and   
                  Xinmin Li and   
                Feifei Chen and   
       Wolfgang Härdle and   
                      Hua Liang   A comprehensive comparison of
                                  goodness-of-fit tests for logistic
                                  regression models  . . . . . . . . . . . ??
                 Shuang Dai and   
                    Ping Wu and   
                        Zhou Yu   New forest-based approaches for
                                  sufficient dimension reduction . . . . . ??
                 Almog Peer and   
                   David Azriel   Optimal confidence interval for the
                                  difference between proportions . . . . . ??
            Subhrajyoty Roy and   
                Abhik Ghosh and   
             Ayanendranath Basu   Robust singular value decomposition with
                                  application to video surveillance
                                  background modelling . . . . . . . . . . ??

Statistics and Computing
Volume 34, Number 6, December, 2024

               Guangbao Guo and   
                Haoyue Song and   
                     Lixing Zhu   Correction to: The COR criterion for
                                  optimal subset selection in distributed
                                  estimation . . . . . . . . . . . . . . . ??
                 Jiawei Wen and   
              Songshan Yang and   
                     Delin Zhao   Nonconvex Dantzig selector and its
                                  parallel computing algorithm . . . . . . ??
               Julyan Arbel and   
     Stéphane Girard and   
                Hadrien Lorenzo   Shrinkage for extreme partial
                                  least-squares  . . . . . . . . . . . . . ??