Table of contents for issues of Journal of the American Statistical Association

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Volume 100, Number 469, March, 2005
Volume 105, Number 489, March, 2010
Volume 105, Number 490, June, 2010
Volume 105, Number 491, September, 2010
Volume 105, Number 492, December, 2010
Volume 106, Number 493, March, 2011
Volume 106, Number 494, June, 2011
Volume 106, Number 495, September, 2011
Volume 106, Number 496, December, 2011
Volume 107, Number 497, 2012
Volume 107, Number 498, 2012
Volume 107, Number 499, 2012
Volume 107, Number 500, 2012
Volume 108, Number 501, 2013
Volume 108, Number 502, 2013
Volume 108, Number 503, 2013
Volume 108, Number 504, 2013
Volume 109, Number 505, 2014
Volume 109, Number 506, 2014
Volume 109, Number 507, 2014
Volume 109, Number 508, 2014
Volume 110, Number 509, 2015
Volume 110, Number 510, 2015
Volume 110, Number 511, 2015
Volume 110, Number 512, 2015
Volume 111, Number 513, 2016
Volume 111, Number 514, 2016
Volume 111, Number 515, 2016
Volume 111, Number 516, 2017
Volume 112, Number 517, 2017
Volume 112, Number 518, 2017
Volume 112, Number 519, 2017


Journal of the American Statistical Association
Volume 100, Number 469, March, 2005

                 Jin-Ting Zhang   Approximate and Asymptotic Distributions
                                  of Chi-Squared-Type Mixtures With
                                  Applications . . . . . . . . . . . . . . 273--285


Journal of the American Statistical Association
Volume 105, Number 489, March, 2010

                Sally C. Morton   Statistics: From Evidence to Policy  . . 1--5
            Jay M. Ver Hoef and   
               Erin E. Peterson   A Moving Average Approach for Spatial
                                  Statistical Models of Stream Networks    6--18
               Noel Cressie and   
                David O'Donnell   Comment: Statistical Dependence in
                                  Stream Networks  . . . . . . . . . . . . 18--21
                  Sujit K. Sahu   Comment: Comment: Statistical Dependence
                                  in Stream Networks . . . . . . . . . . . 21--22
            Jay M. Ver Hoef and   
               Erin E. Peterson   Rejoinder: Comment: Statistical
                                  Dependence in Stream Networks  . . . . . 22--24
        J. McLean Sloughter and   
           Tilmann Gneiting and   
              Adrian E. Raftery   Probabilistic Wind Speed Forecasting
                                  Using Ensembles and Bayesian Model
                                  Averaging  . . . . . . . . . . . . . . . 25--35
     Kingshuk Roy Choudhury and   
         Finbarr O'Sullivan and   
             Mayukh Samanta and   
       Guillemette Caulliez and   
                  Victor Shrira   Regularized Reconstruction of Wave
                                  Height and Slope Fields From Refracted
                                  Images of Water  . . . . . . . . . . . . 36--47
            Michael J. Racz and   
                    J. Sedransk   Bayesian and Frequentist Methods for
                                  Provider Profiling Using Risk-Adjusted
                                  Assessments of Medical Outcomes  . . . . 48--58
         Tyler H. McCormick and   
        Matthew J. Salganik and   
                     Tian Zheng   How Many People Do You Know?:
                                  Efficiently Estimating Personal Network
                                  Size . . . . . . . . . . . . . . . . . . 59--70
             Michael Peress and   
                Arthur Spirling   Scaling the Critics: Uncovering the
                                  Latent Dimensions of Movie Criticism
                                  With an Item Response Approach . . . . . 71--83
              Adam N. Glynn and   
       Thomas S. Richardson and   
               Mark S. Handcock   Resolving Contested Elections: The
                                  Limited Power of Post-Vote Vote-Choice
                                  Data . . . . . . . . . . . . . . . . . . 84--91
           Amanda S. Hering and   
                 Marc G. Genton   Powering Up With Space-Time Wind
                                  Forecasting  . . . . . . . . . . . . . . 92--104
               Song Xi Chen and   
            Cheng Yong Tang and   
           Vincent T. Mule, Jr.   Local Post-Stratification in Dual System
                                  Accuracy and Coverage Evaluation for the
                                  U.S. Census  . . . . . . . . . . . . . . 105--119
           Balgobin Nandram and   
                   Jai Won Choi   A Bayesian Analysis of Body Mass Index
                                  Data From Small Domains Under
                                  Nonignorable Nonresponse and Selection   120--135
          Fadoua Balabdaoui and   
           Kathrin Bissantz and   
           Nicolai Bissantz and   
                  Hajo Holzmann   Demonstrating Single and Multiple
                                  Currents Through the \em E.
                                  coli-SecYEG-Pore: Testing for the Number
                                  of Modes of Noisy Observations . . . . . 136--146
                 Andrea Cerioli   Multivariate Outlier Detection With
                                  High-Breakdown Estimators  . . . . . . . 147--156
                   Zhiqiang Tan   Marginal and Nested Structural Models
                                  Using Instrumental Variables . . . . . . 157--169
            Shinsuke Koyama and   
Lucia Castellanos Pérez-Bolde and   
      Cosma Rohilla Shalizi and   
                 Robert E. Kass   Approximate Methods for State-Space
                                  Models . . . . . . . . . . . . . . . . . 170--180
               Chenlei Leng and   
              Weiping Zhang and   
                    Jianxin Pan   Semiparametric Mean--Covariance
                                  Regression Analysis for Longitudinal
                                  Data . . . . . . . . . . . . . . . . . . 181--193
                   Annie Qu and   
           Bruce G. Lindsay and   
                         Lin Lu   Highly Efficient Aggregate Unbiased
                                  Estimating Functions Approach for
                                  Correlated Data With Missing at Random   194--204
            Hemant Ishwaran and   
           Udaya B. Kogalur and   
         Eiran Z. Gorodeski and   
               Andy J. Minn and   
               Michael S. Lauer   High-Dimensional Variable Selection for
                                  Survival Data  . . . . . . . . . . . . . 205--217
                  Xiaofeng Shao   The Dependent Wild Bootstrap . . . . . . 218--235
            Mevin B. Hooten and   
           Christopher K. Wikle   Statistical Agent-Based Models for
                                  Discrete Spatio-Temporal Systems . . . . 236--248
                 Shogo Kato and   
                    M. C. Jones   A Family of Distributions on the Circle
                                  With Links to, and Applications Arising
                                  From, Möbius Transformation . . . . . . . 249--262
               S. A. Padoan and   
                 M. Ribatet and   
                   S. A. Sisson   Likelihood-Based Inference for
                                  Max-Stable Processes . . . . . . . . . . 263--277
                Yingcun Xia and   
                Dixin Zhang and   
                     Jinfeng Xu   Dimension Reduction and Semiparametric
                                  Estimation of Survival Models  . . . . . 278--290
         Ronald Christensen and   
                    Siu Kei Sun   Alternative Goodness-of-Fit Tests for
                                  Linear Models  . . . . . . . . . . . . . 291--301
                   Meng Mao and   
                 Jane-Ling Wang   Semiparametric Efficient Estimation for
                                  a Class of Generalized Proportional Odds
                                  Cure Models  . . . . . . . . . . . . . . 302--311
                Yiyun Zhang and   
                   Runze Li and   
                 Chih-Ling Tsai   Regularization Parameter Selections via
                                  Generalized Information Criterion  . . . 312--323
              Michael Braun and   
                  Jon McAuliffe   Variational Inference for Large-Scale
                                  Models of Discrete Choice  . . . . . . . 324--335
              Baojiang Chen and   
                Grace Y. Yi and   
                Richard J. Cook   Weighted Generalized Estimating
                                  Functions for Longitudinal Response and
                                  Covariate Data That Are Missing at
                                  Random . . . . . . . . . . . . . . . . . 336--353
               Nam Hee Choi and   
                 William Li and   
                         Ji Zhu   Variable Selection With the Strong
                                  Heredity Constraint and Its Oracle
                                  Property . . . . . . . . . . . . . . . . 354--364
                     J. Cao and   
                   J. O. Ramsay   Linear Mixed-Effects Modeling by
                                  Parameter Cascading  . . . . . . . . . . 365--374
            Larry Wasserman and   
                   Shuheng Zhou   A Statistical Framework for Differential
                                  Privacy  . . . . . . . . . . . . . . . . 375--389
                   Lan Zhou and   
           Jianhua Z. Huang and   
          Josue G. Martinez and   
                Arnab Maity and   
Veerabhadran Baladandayuthapani and   
             Raymond J. Carroll   Reduced Rank Mixed Effects Models for
                                  Spatially Correlated Hierarchical
                                  Functional Data  . . . . . . . . . . . . 390--400
                Xingye Qiao and   
            Hao Helen Zhang and   
                 Yufeng Liu and   
            Michael J. Todd and   
                   J. S. Marron   Weighted Distance Weighted
                                  Discrimination and Its Asymptotic
                                  Properties . . . . . . . . . . . . . . . 401--414
            Olga Y. Savchuk and   
            Jeffrey D. Hart and   
              Simon J. Sheather   Indirect Cross-Validation for Density
                                  Estimation . . . . . . . . . . . . . . . 415--423
                  Yichao Wu and   
            Hao Helen Zhang and   
                     Yufeng Liu   Robust Model-Free Multiclass Probability
                                  Estimation . . . . . . . . . . . . . . . 424--436
                      Anonymous   Book Reviews . . . . . . . . . . . . . . 437--445

Journal of the American Statistical Association
Volume 105, Number 490, June, 2010

            Arthur Spirling and   
                    Kevin Quinn   Identifying Intraparty Voting Blocs in
                                  the U.K. House of Commons  . . . . . . . 447--457
                     Lu Ren and   
               David Dunson and   
             Scott Lindroth and   
                 Lawrence Carin   Dynamic Nonparametric Bayesian Models
                                  for Analysis of Music  . . . . . . . . . 458--472
               Heping Zhang and   
               Ching-Ti Liu and   
                    Xueqin Wang   An Association Test for Multiple Traits
                                  Based on the Generalized Kendall's Tau   473--481
          Duncan K. H. Fong and   
           Wayne S. DeSarbo and   
              Joonwook Park and   
               Crystal J. Scott   A Bayesian Vector Multidimensional
                                  Scaling Procedure for the Analysis of
                                  Ordered Preference Data  . . . . . . . . 482--492
             Alberto Abadie and   
             Alexis Diamond and   
               Jens Hainmueller   Synthetic Control Methods for
                                  Comparative Case Studies: Estimating the
                                  Effect of California's Tobacco Control
                                  Program  . . . . . . . . . . . . . . . . 493--505
           Sudipto Banerjee and   
           Andrew O. Finley and   
            Patrik Waldmann and   
                  Tore Ericsson   Hierarchical Spatial Process Models for
                                  Multiple Traits in Large Genetic Trials  506--521
       Veronica J. Berrocal and   
          Adrian E. Raftery and   
           Tilmann Gneiting and   
               Richard C. Steed   Probabilistic Weather Forecasting for
                                  Winter Road Maintenance  . . . . . . . . 522--537
             Sujit K. Ghosh and   
           Prakash V. Bhave and   
             Jerry M. Davis and   
                   Hyeyoung Lee   Spatio-Temporal Analysis of Total
                                  Nitrate Concentrations Using Dynamic
                                  Statistical Models . . . . . . . . . . . 538--551
           Hormuzd A. Katki and   
     Christopher L. Sanders and   
          Barry I. Graubard and   
               Andrew W. Bergen   Using DNA Fingerprints to Infer Familial
                                  Relationships Within NHANES III
                                  Households . . . . . . . . . . . . . . . 552--563
             Scott H. Holan and   
               Daniell Toth and   
       Marco A. R. Ferreira and   
                   Alan F. Karr   Bayesian Multiscale Multiple Imputation
                                  With Implications for Data
                                  Confidentiality  . . . . . . . . . . . . 564--577
                   Aiyi Liu and   
                  Qizhai Li and   
               Chunling Liu and   
                     Kai Yu and   
                      Kai F. Yu   A Rank-Based Test for Comparison of
                                  Multidimensional Outcomes  . . . . . . . 578--587
          Armin Schwartzman and   
        Robert F. Dougherty and   
             Jonathan E. Taylor   Group Comparison of Eigenvalues and
                                  Eigenvectors of Diffusion Tensors  . . . 588--599
              Kwang Woo Ahn and   
              Kung-Sik Chan and   
                   Ying Bai and   
                  Michael Kosoy   Bayesian Inference With Incomplete
                                  Multinomial Data: a Problem in Pathogen
                                  Diversity  . . . . . . . . . . . . . . . 600--611
                    Chun Li and   
              Bryan E. Shepherd   Test of Association Between Two Ordinal
                                  Variables While Adjusting for Covariates 612--620
                   Yehua Li and   
               Naisyin Wang and   
             Raymond J. Carroll   Generalized Functional Linear Models
                                  With Semiparametric Single-Index
                                  Interactions . . . . . . . . . . . . . . 621--633
       Jean-Marc Freyermuth and   
             Hernando Ombao and   
               Rainer von Sachs   Tree-Structured Wavelet Estimation in a
                                  Mixed Effects Model for Spectra of
                                  Replicated Time Series . . . . . . . . . 634--646
      Abel Rodríguez and   
            David B. Dunson and   
                Alan E. Gelfand   Latent Stick-Breaking Processes  . . . . 647--659
            Werner Brannath and   
                    Frank Bretz   Shortcuts for Locally Consonant Closed
                                  Test Procedures  . . . . . . . . . . . . 660--669
        Victor M. Panaretos and   
                David Kraus and   
               John H. Maddocks   Second-Order Comparison of Gaussian
                                  Random Functions and the Geometry of DNA
                                  Minicircles  . . . . . . . . . . . . . . 670--682
                  Wenbin Lu and   
                Hao Helen Zhang   On Estimation of Partially Linear
                                  Transformation Models  . . . . . . . . . 683--691
              Paul R. Rosenbaum   Design Sensitivity and Efficiency in
                                  Observational Studies  . . . . . . . . . 692--702
          Davide La Vecchia and   
                  Fabio Trojani   Infinitesimal Robustness for Diffusions  703--712
          Daniela M. Witten and   
              Robert Tibshirani   A Framework for Feature Selection in
                                  Clustering . . . . . . . . . . . . . . . 713--726
              Xiaotong Shen and   
               Hsin-Cheng Huang   Grouping Pursuit Through a
                                  Regularization Solution Surface  . . . . 727--739
            Philip E. Cheng and   
              Michelle Liou and   
               John A. D. Aston   Likelihood Ratio Tests With Three-Way
                                  Tables . . . . . . . . . . . . . . . . . 740--749
                  Kani Chen and   
                Shaojun Guo and   
                Liuquan Sun and   
                 Jane-Ling Wang   Global Partial Likelihood for
                                  Nonparametric Proportional Hazards
                                  Models . . . . . . . . . . . . . . . . . 750--760
                 Sam Efromovich   Dimension Reduction and Adaptation in
                                  Conditional Density Estimation . . . . . 761--774
                  Subharup Guha   Posterior Simulation in Countable
                                  Mixture Models for Large Datasets  . . . 775--786
        Nilanjan Chatterjee and   
                         Yan Li   Inference in Semiparametric Regression
                                  Models Under Partial Questionnaire
                                  Design and Nonmonotone Missing Data  . . 787--797
               Yao-ban Chan and   
                     Peter Hall   Using Evidence of Mixed Populations to
                                  Select Variables for Clustering Very
                                  High-Dimensional Data  . . . . . . . . . 798--809
               Song Xi Chen and   
               Li-Xin Zhang and   
                Ping-Shou Zhong   Tests for High-Dimensional Covariance
                                  Matrices . . . . . . . . . . . . . . . . 810--819
                   Ming Lin and   
                  Rong Chen and   
                    Per Mykland   On Generating Monte Carlo Samples of
                                  Continuous~Diffusion Bridges . . . . . . 820--838
         Efstathios Paparoditis   Validating Stationarity Assumptions in
                                  Time Series Analysis by Rolling Local
                                  Periodograms . . . . . . . . . . . . . . 839--851
        Tatyana Krivobokova and   
               Thomas Kneib and   
                Gerda Claeskens   Simultaneous Confidence Bands for
                                  Penalized~Spline~Estimators  . . . . . . 852--863
          Jaakko Nevalainen and   
             Denis Larocque and   
                  Hannu Oja and   
              Ilkka Pörsti   Nonparametric Analysis of Clustered
                                  Multivariate Data  . . . . . . . . . . . 864--872
                      Anonymous   Book Reviews . . . . . . . . . . . . . . 873--879
                      Anonymous   Letters to the Editor  . . . . . . . . . 880--881
                      Anonymous   Correction . . . . . . . . . . . . . . . 882--882

Journal of the American Statistical Association
Volume 105, Number 491, September, 2010

                      Bo Li and   
          Douglas W. Nychka and   
               Caspar M. Ammann   The Value of Multiproxy Reconstruction
                                  of Past Climate  . . . . . . . . . . . . 883--895
               Noel Cressie and   
              Martin P. Tingley   Comment: ``Hierarchical Statistical
                                  Modeling for Paleoclimate
                                  Reconstruction'' . . . . . . . . . . . . 895--900
                Eugene Wahl and   
        Christian Schoelzel and   
              John Williams and   
               Seyitriza Tigrek   Comment: ``Comment: Hierarchical
                                  Statistical Modeling for Paleoclimate
                                  Reconstruction'' . . . . . . . . . . . . 900--905
               Richard L. Smith   Comment: ``Comment: Hierarchical
                                  Statistical Modeling for Paleoclimate
                                  Reconstruction'' . . . . . . . . . . . . 905--910
                      Bo Li and   
          Douglas W. Nychka and   
               Caspar M. Ammann   Rejoinder: ``Comment: Hierarchical
                                  Statistical Modeling for Paleoclimate
                                  Reconstruction'' . . . . . . . . . . . . 910--911
               Keunbaik Lee and   
         Michael J. Daniels and   
              Daniel J. Sargent   Causal Effects of Treatments for
                                  Informative Missing Data due to
                                  Progression/Death  . . . . . . . . . . . 912--929
       Hyokyoung Grace Hong and   
                      Xuming He   Prediction of Functional Status for the
                                  Elderly Based on a New Ordinal
                                  Regression Model . . . . . . . . . . . . 930--941
      Christopher R. Bilder and   
            Joshua M. Tebbs and   
                      Peng Chen   Informative Retesting  . . . . . . . . . 942--955
            Soma S. Dhavala and   
                Sujay Datta and   
            Bani K. Mallick and   
         Raymond J. Carroll and   
             Sangeeta Khare and   
             Sara D. Lawhon and   
                 L. Garry Adams   Bayesian Modeling of MPSS Data: Gene
                                  Expression Analysis of Bovine Salmonella
                                  Infection  . . . . . . . . . . . . . . . 956--967
            Thaddeus Tarpey and   
                Eva Petkova and   
                  Yimeng Lu and   
             Usha Govindarajulu   Optimal Partitioning for Linear Mixed
                                  Effects Models: Applications to
                                  Identifying Placebo Responders . . . . . 968--977
         Jonathan R. Stroud and   
           Michael L. Stein and   
             Barry M. Lesht and   
            David J. Schwab and   
                Dmitry Beletsky   An Ensemble Kalman Filter and Smoother
                                  for Satellite Data Assimilation  . . . . 978--990
              Li-Shan Huang and   
             Philip W. Davidson   Analysis of Variance and $F$-Tests for
                                  Partial Linear Models With Applications
                                  to Environmental Health Data . . . . . . 991--1004
                Ruth Heller and   
            Shane T. Jensen and   
          Paul R. Rosenbaum and   
                 Dylan S. Small   Sensitivity Analysis for the Cross-Match
                                  Test, With Applications in Genomics  . . 1005--1013
        Markus Frölich and   
                Michael Lechner   Exploiting Regional Treatment Intensity
                                  for the Evaluation of Labor Market
                                  Policies . . . . . . . . . . . . . . . . 1014--1029
                Ben Haaland and   
                  Wanli Min and   
           Peter Z. G. Qian and   
                  Yasuo Amemiya   A Statistical Approach to Thermal
                                  Management of Data Centers Under Steady
                                  State and System Perturbations . . . . . 1030--1041
                  Bradley Efron   Correlated $z$-Values and the Accuracy
                                  of Large-Scale Statistical Estimates . . 1042--1055
                    T. Tony Cai   Comment: ``Correlated $z$-Values and the
                                  Accuracy of Large-Scale Statistical
                                  Estimates''  . . . . . . . . . . . . . . 1055--1056
                    Ruth Heller   Comment: ``Correlated $z$-Values and the
                                  Accuracy of Large-Scale Statistical
                                  Estimates''  . . . . . . . . . . . . . . 1057--1059
              Armin Schwartzman   Comment: ``Correlated $z$-Values and the
                                  Accuracy of Large-Scale Statistical
                                  Estimates''  . . . . . . . . . . . . . . 1059--1063
              Peter H. Westfall   Comment: ``Correlated $z$-Values and the
                                  Accuracy of Large-Scale Statistical
                                  Estimates''  . . . . . . . . . . . . . . 1063--1066
                  Bradley Efron   Rejoinder: ``Correlated $z$-Values and
                                  the Accuracy of Large-Scale Statistical
                                  Estimates''  . . . . . . . . . . . . . . 1067--1069
         Matias D. Cattaneo and   
           Richard K. Crump and   
                Michael Jansson   Robust Data-Driven Inference for
                                  Density-Weighted Average Derivatives . . 1070--1083
                 Pengfei Li and   
                    Jiahua Chen   Testing the Order of a Finite Mixture    1084--1092
        Anatoly Zhigljavsky and   
               Holger Dette and   
              Andrey Pepelyshev   A New Approach to Optimal Design for
                                  Linear Models With Correlated
                                  Observations . . . . . . . . . . . . . . 1093--1103
                  Kani Chen and   
                Shaojun Guo and   
               Yuanyuan Lin and   
                  Zhiliang Ying   Least Absolute Relative Error Estimation 1104--1112
            Robertas Gabrys and   
       Lajos Horváth and   
                 Piotr Kokoszka   Tests for Error Correlation in the
                                  Functional Linear Model  . . . . . . . . 1113--1125
                David Conne and   
          Elvezio Ronchetti and   
       Maria-Pia Victoria-Feser   Goodness of Fit for Generalized Linear
                                  Latent Variables Models  . . . . . . . . 1126--1134
                    Lu Wang and   
           Andrea Rotnitzky and   
                     Xihong Lin   Nonparametric Regression With Missing
                                  Outcomes Using Weighted Kernel
                                  Estimating Equations . . . . . . . . . . 1135--1146
           Peter Z. G. Qian and   
                     Mingyao Ai   Nested Lattice Sampling: a New Sampling
                                  Scheme Derived by Randomizing Nested
                                  Orthogonal Arrays  . . . . . . . . . . . 1147--1155
             X. Jessie Jeng and   
                T. Tony Cai and   
                     Hongzhe Li   Optimal Sparse Segment Identification
                                  With Application in Copy Number
                                  Variation Analysis . . . . . . . . . . . 1156--1166
           Tilmann Gneiting and   
            William Kleiber and   
               Martin Schlather   Matérn Cross-Covariance Functions for
                                  Multivariate Random Fields . . . . . . . 1167--1177
             Michael G. B. Blum   Approximate Bayesian Computation: a
                                  Nonparametric Perspective  . . . . . . . 1178--1187
                   Lexin Li and   
                    Bing Li and   
                    Li-Xing Zhu   Groupwise Dimension Reduction  . . . . . 1188--1201
                     Fan Li and   
                 Nancy R. Zhang   Bayesian Variable Selection in
                                  Structured High-Dimensional Covariate
                                  Spaces With Applications in Genomics . . 1202--1214
                James X. Hu and   
                Hongyu Zhao and   
               Harrison H. Zhou   False Discovery Rate Control With Groups 1215--1227
              Xiaofeng Shao and   
                 Xianyang Zhang   Testing for Change Points in Time Series 1228--1240
                 Ann B. Lee and   
                Larry Wasserman   Spectral Connectivity Analysis . . . . . 1241--1255
       Damla \cSentürk and   
         Hans-Georg Müller   Functional Varying Coefficient Models
                                  for Longitudinal Data  . . . . . . . . . 1256--1264
            Phillip S. Kott and   
                      Ted Chang   Using Calibration Weighting to Adjust
                                  for Nonignorable Unit Nonresponse  . . . 1265--1275
                      Anonymous   Book Reviews . . . . . . . . . . . . . . 1276--1283

Journal of the American Statistical Association
Volume 105, Number 492, December, 2010

              Mike Baiocchi and   
             Dylan S. Small and   
                Scott Lorch and   
              Paul R. Rosenbaum   Building a Stronger Instrument in an
                                  Observational Study of Perinatal Care
                                  for Premature Infants  . . . . . . . . . 1285--1296
                  Rong Chen and   
                 Re-Jin Guo and   
                       Ming Lin   Self-Selectivity in Firm's Decision to
                                  Withdraw IPO: Bayesian Inference for
                                  Hazard Models of Bankruptcy With
                                  Feedback . . . . . . . . . . . . . . . . 1297--1309
                  Yang Yang and   
      M. Elizabeth Halloran and   
         Michael J. Daniels and   
        Ira M. Longini, Jr. and   
            Donald S. Burke and   
           Derek A. T. Cummings   Modeling Competing Infectious Pathogens
                                  From a Bayesian Perspective: Application
                                  to Influenza Studies With Incomplete
                                  Laboratory Results . . . . . . . . . . . 1310--1322
                     Fan Li and   
              Alan M. Zaslavsky   Using a Short Screening Scale for
                                  Small-Area Estimation of Mental Illness
                                  Prevalence for Schools . . . . . . . . . 1323--1332
                    C. Wang and   
              M. J. Daniels and   
          D. O. Scharfstein and   
                        S. Land   A Bayesian Shrinkage Model for
                                  Incomplete Longitudinal Binary Data With
                                  Application to the Breast Cancer
                                  Prevention Trial . . . . . . . . . . . . 1333--1346
        Jörg Drechsler and   
               Jerome P. Reiter   Sampling With Synthesis: a New Approach
                                  for Releasing Public Use Census
                                  Microdata  . . . . . . . . . . . . . . . 1347--1357
Veerabhadran Baladandayuthapani and   
                    Yuan Ji and   
             Rajesh Talluri and   
      Luis E. Nieto-Barajas and   
              Jeffrey S. Morris   Bayesian Random Segmentation Models to
                                  Identify Shared Copy Number Aberrations
                                  for Array CGH Data . . . . . . . . . . . 1358--1375
                  Ying Chen and   
  Wolfgang Karl Härdle and   
                   Uta Pigorsch   Localized Realized Volatility Modeling   1376--1393
            Peter J. Diggle and   
               Yongtao Guan and   
            Anthony C. Hart and   
               Fauzia Paize and   
               Michelle Stanton   Estimating Individual-Level Risk in
                                  Spatial Epidemiology Using Spatially
                                  Aggregated Information on the Population
                                  at Risk  . . . . . . . . . . . . . . . . 1394--1402
               Matthew A. Taddy   Autoregressive Mixture Models for
                                  Dynamic Spatial Poisson Processes:
                                  Application to Tracking Intensity of
                                  Violent Crime  . . . . . . . . . . . . . 1403--1417
                 Michael Peress   Correcting for Survey Nonresponse Using
                                  Variable Response Propensity . . . . . . 1418--1430
               Ross L. Prentice   Chronic Disease Prevention Research
                                  Methods and Their Reliability, With
                                  Illustrations From the Women's Health
                                  Initiative . . . . . . . . . . . . . . . 1431--1443
                  Kun Liang and   
                  Dan Nettleton   A Hidden Markov Model Approach to
                                  Testing Multiple Hypotheses on a
                                  Tree-Transformed Gene Ontology Graph . . 1444--1454
                Li-Ping Zhu and   
                Li-Xing Zhu and   
                 Zheng-Hui Feng   Dimension Reduction in Regressions
                                  Through Cumulative Slicing Estimation    1455--1466
              Michael Smith and   
                Aleksey Min and   
             Carlos Almeida and   
                  Claudia Czado   Modeling Longitudinal Data Using a
                                  Pair-Copula Decomposition of Serial
                                  Dependence . . . . . . . . . . . . . . . 1467--1479
               Z. Harchaoui and   
           C. Lévy-Leduc   Multiple Change-Point Estimation With a
                                  Total Variation Penalty  . . . . . . . . 1480--1493
               J. N. K. Rao and   
                    Changbao Wu   Pseudo--Empirical Likelihood Inference
                                  for Multiple Frame Surveys . . . . . . . 1494--1503
      Yacine A\"\it-Sahalia and   
               Jianqing Fan and   
                    Dacheng Xiu   High-Frequency Covariance Estimates With
                                  Noisy and Asynchronous Financial Data    1504--1517
                    Lan Xue and   
                   Annie Qu and   
                   Jianhui Zhou   Consistent Model Selection for Marginal
                                  Generalized Additive Model for
                                  Correlated Data  . . . . . . . . . . . . 1518--1530
                    Xin Gao and   
               Peter X.-K. Song   Composite Likelihood Bayesian
                                  Information Criteria for Model Selection
                                  in High-Dimensional Data . . . . . . . . 1531--1540
            Peter Radchenko and   
                Gareth M. James   Variable Selection Using Adaptive
                                  Nonlinear Interaction Structures in High
                                  Dimensions . . . . . . . . . . . . . . . 1541--1553
          Sophie Dabo-Niang and   
           Christian Francq and   
         Jean-Michel Zako\"\ian   Combining Nonparametric and Optimal
                                  Linear Time Series Predictions . . . . . 1554--1565
             John P. Morgan and   
                   Xiaowei Wang   Weighted Optimality in Designed
                                  Experimentation  . . . . . . . . . . . . 1566--1580
              A. S. Hedayat and   
                      Wei Zheng   Optimal and Efficient Crossover Designs
                                  for Test-Control Study When Subject
                                  Effects Are Random . . . . . . . . . . . 1581--1592
              Henghsiu Tsai and   
                   Ruey S. Tsay   Constrained Factor Models  . . . . . . . 1593--1605
                C. A. Field and   
                  Zhen Pang and   
                    A. H. Welsh   Bootstrapping Robust Estimates for
                                  Clustered Data . . . . . . . . . . . . . 1606--1616
            Subhash R. Lele and   
             Khurram Nadeem and   
                Byron Schmuland   Estimability and Likelihood Inference
                                  for Generalized Linear Mixed Models
                                  Using Data Cloning . . . . . . . . . . . 1617--1625
                      Anonymous   Book Reviews . . . . . . . . . . . . . . 1626--1631
                      Anonymous   Letters to the Editor  . . . . . . . . . 1632--1635
                  Hua Liang and   
                       Hulin Wu   Correction . . . . . . . . . . . . . . . 1636--1636
             Daniela Witten and   
              Robert Tibshirani   Correction . . . . . . . . . . . . . . . 1637--1637
                      Anonymous   2010 Editorial Collaborators . . . . . . 1638--1643
                      Anonymous   Index to Volume 105 (2010) . . . . . . . 1644--1651


Journal of the American Statistical Association
Volume 106, Number 493, March, 2011

              Sastry G. Pantula   Statistics: a Key to Innovation in a
                                  Data-Centric World!  . . . . . . . . . . 1--5
             Brian J. Reich and   
         Montserrat Fuentes and   
                David B. Dunson   Bayesian Spatial Quantile Regression . . 6--20
               Paul Kidwell and   
                Guy Lebanon and   
         Kevyn Collins-Thompson   Statistical Estimation of Word
                                  Acquisition With Application to
                                  Readability Prediction . . . . . . . . . 21--30
           Andrew O. Finley and   
           Sudipto Banerjee and   
            David W. MacFarlane   A Hierarchical Model for Quantifying
                                  Forest Variables Over Large
                                  Heterogeneous Landscapes With Uncertain
                                  Forest Areas . . . . . . . . . . . . . . 31--48
            Dawn B. Woodard and   
              Moises Goldszmidt   Online Model-Based Clustering for Crisis
                                  Identification in Distributed Computing  49--60
              Guanghua Xiao and   
                Xinlei Wang and   
            Arkady B. Khodursky   Modeling Three-Dimensional Chromosome
                                  Structures Using Gene Expression Data    61--72
               Wenguang Sun and   
                        Zhi Wei   Multiple Testing for Pattern
                                  Identification, With Applications to
                                  Microarray Time-Course Experiments . . . 73--88
         Michael W. Robbins and   
             Robert B. Lund and   
         Colin M. Gallagher and   
                        QiQi Lu   Changepoints in the North Atlantic
                                  Tropical Cyclone Record  . . . . . . . . 89--99
               G. O. Mohler and   
                M. B. Short and   
          P. J. Brantingham and   
           F. P. Schoenberg and   
                     G. E. Tita   Self-Exciting Point Process Modeling of
                                  Crime  . . . . . . . . . . . . . . . . . 100--108
           Matthew A. Taddy and   
          Robert B. Gramacy and   
             Nicholas G. Polson   Dynamic Trees for Learning and Design    109--123
                  Jian Kang and   
         Timothy D. Johnson and   
          Thomas E. Nichols and   
                   Tor D. Wager   Meta Analysis of Functional Neuroimaging
                                  Data via Bayesian Spatial Point
                                  Processes  . . . . . . . . . . . . . . . 124--134
                 Krista J. Gile   Improved Inference for Respondent-Driven
                                  Sampling Data With Application to HIV
                                  Prevalence Estimation  . . . . . . . . . 135--146
                 Yanyuan Ma and   
              Elvezio Ronchetti   Saddlepoint Test in Measurement Error
                                  Models . . . . . . . . . . . . . . . . . 147--156
              Jae Kwang Kim and   
                  Cindy Long Yu   A Semiparametric Estimation of Mean
                                  Functionals With Nonignorable Missing
                                  Data . . . . . . . . . . . . . . . . . . 157--165
                 Yufeng Liu and   
            Hao Helen Zhang and   
                      Yichao Wu   Hard or Soft Classification?
                                  Large-Margin Unified Machines  . . . . . 166--177
       Nivedita V. Nadkarni and   
                Yingqi Zhao and   
             Michael R. Kosorok   Inverse Regression Estimation for
                                  Censored Data  . . . . . . . . . . . . . 178--190
         Raymond J. Carroll and   
            Aurore Delaigle and   
                     Peter Hall   Testing and Estimating Shape-Constrained
                                  Nonparametric Density and Regression in
                                  the Presence of Measurement Error  . . . 191--202
           Debbie J. Dupuis and   
       Maria-Pia Victoria-Feser   Fast Robust Model Selection in Large
                                  Datasets . . . . . . . . . . . . . . . . 203--212
                      Ying Hung   Adaptive Probability-Based Latin
                                  Hypercube Designs  . . . . . . . . . . . 213--219
                 Sokbae Lee and   
             Myung Hwan Seo and   
                   Youngki Shin   Testing for Threshold Effects in
                                  Regression Models  . . . . . . . . . . . 220--231
                 Dongyu Lin and   
             Dean P. Foster and   
                  Lyle H. Ungar   VIF Regression: a Fast Regression
                                  Algorithm for Large Data . . . . . . . . 232--247
                      Mark Culp   On Propagated Scoring for Semisupervised
                                  Additive Models  . . . . . . . . . . . . 248--259
            Ping-Shou Zhong and   
                   Song Xi Chen   Tests for High-Dimensional Regression
                                  Coefficients With Factorial Designs  . . 260--274
                   Kun Chen and   
                 Kehui Chen and   
     Hans-Georg Müller and   
                 Jane-Ling Wang   Stringing High-Dimensional Data for
                                  Functional Analysis  . . . . . . . . . . 275--284
              Paul R. Rosenbaum   Some Approximate Evidence Factors in
                                  Observational Studies  . . . . . . . . . 285--295
                 Julian Wolfson   EEBoost: a General Method for Prediction
                                  and Variable Selection Based on
                                  Estimating Equations . . . . . . . . . . 296--305
                 Sam Efromovich   Nonparametric Regression With Predictors
                                  Missing at Random  . . . . . . . . . . . 306--319
                  Minge Xie and   
                Kesar Singh and   
         William E. Strawderman   Confidence Distributions and a Unifying
                                  Framework for Meta-Analysis  . . . . . . 320--333
            Robert L. Paige and   
         Phillip L. Chapman and   
               Ronald W. Butler   Small Sample LD50 Confidence Intervals
                                  Using Saddlepoint Approximations . . . . 334--344
           Stefano M. Iacus and   
                  Gary King and   
                 Giuseppe Porro   Multivariate Matching Methods That Are
                                  Monotonic Imbalance Bounding . . . . . . 345--361
             Gauri S. Datta and   
                 Peter Hall and   
                Abhyuday Mandal   Model Selection by Testing for the
                                  Presence of Small-Area Effects, and
                                  Application to Area-Level Data . . . . . 362--374
                      Anonymous   Book Reviews . . . . . . . . . . . . . . 375--382
                      Anonymous   Letter to the Editor . . . . . . . . . . 383--383
                      Anonymous   Correction . . . . . . . . . . . . . . . 384--384
                      Anonymous   Correction . . . . . . . . . . . . . . . 385--385

Journal of the American Statistical Association
Volume 106, Number 494, June, 2011

     Alejandro Cruz-Marcelo and   
         Katherine B. Ensor and   
                 Gary L. Rosner   Estimating the Term Structure With a
                                  Semiparametric Bayesian Hierarchical
                                  Model: An Application to Corporate Bonds 387--395
               Sonja Greven and   
         Francesca Dominici and   
                    Scott Zeger   An Approach to the Estimation of Chronic
                                  Air Pollution Effects Using
                                  Spatio-Temporal Information  . . . . . . 396--406
                    Kosuke Imai   Multivariate Regression Analysis for the
                                  Item Count Technique . . . . . . . . . . 407--416
        C. Paddy Farrington and   
      Karim Anaya-Izquierdo and   
        Heather J. Whitaker and   
           Mounia N. Hocine and   
                Ian Douglas and   
                    Liam Smeeth   Self-Controlled Case Series Analysis
                                  With Event-Dependent Observation Periods 417--426
         Daniel Zantedeschi and   
                Paul Damien and   
             Nicholas G. Polson   Predictive Macro-Finance With Dynamic
                                  Partition Models . . . . . . . . . . . . 427--439
             Anindya Bhadra and   
          Edward L. Ionides and   
              Karina Laneri and   
           Mercedes Pascual and   
                Menno Bouma and   
               Ramesh C. Dhiman   Malaria in Northwest India: Data
                                  Analysis via Partially Observed
                                  Stochastic Differential Equation Models
                                  Driven by Lévy Noise  . . . . . . . . . . 440--451
              Jan R. Magnus and   
         Bertrand Melenberg and   
                    Chris Muris   Global Warming and Local Dimming: The
                                  Statistical Evidence . . . . . . . . . . 452--464
              Jan R. Magnus and   
         Bertrand Melenberg and   
                    Chris Muris   Rejoinder: Global Warming and Local
                                  Dimming: The Statistical Evidence  . . . 457--468
               T. Storelvmo and   
                     T. Leirvik   Comment: ``Global Warming and Local
                                  Dimming: The Statistical Evidence''  . . 465--467
       Francesco Bartolucci and   
                Leonardo Grilli   Modeling Partial Compliance Through
                                  Copulas in a Principal Stratification
                                  Framework  . . . . . . . . . . . . . . . 469--479
               Yongtao Guan and   
                   Yehua Li and   
                   Rajita Sinha   Cocaine Dependence Treatment Data:
                                  Methods for Measurement Error Problems
                                  With Predictors Derived From Stationary
                                  Stochastic Processes . . . . . . . . . . 480--493
                Nora Fenske and   
               Thomas Kneib and   
                Torsten Hothorn   Identifying Risk Factors for Severe
                                  Childhood Malnutrition by Boosting
                                  Additive Quantile Regression . . . . . . 494--510
                  Kai Zhang and   
             Dylan S. Small and   
                Scott Lorch and   
            Sindhu Srinivas and   
              Paul R. Rosenbaum   Using Split Samples and Evidence Factors
                                  in an Observational Study of Neonatal
                                  Outcomes . . . . . . . . . . . . . . . . 511--524
                Bret Hanlon and   
          Anand N. Vidyashankar   Inference for Quantitation Parameters in
                                  Polymerase Chain Reactions via Branching
                                  Processes With Random Effects  . . . . . 525--533
                Erika Antal and   
              Yves Tillé   A Direct Bootstrap Method for Complex
                                  Sampling Designs From a Finite
                                  Population . . . . . . . . . . . . . . . 534--543
               Jianqing Fan and   
                  Yang Feng and   
                       Rui Song   Nonparametric Independence Screening in
                                  Sparse Ultra-High-Dimensional Additive
                                  Models . . . . . . . . . . . . . . . . . 544--557
               Bing-Yi Jing and   
              Xin-Bing Kong and   
                        Zhi Liu   Estimating the Jump Activity Index Under
                                  Noisy Observations Using High-Frequency
                                  Data . . . . . . . . . . . . . . . . . . 558--568
                 Tianxi Cai and   
                   Yingye Zheng   Nonparametric Evaluation of Biomarker
                                  Accuracy Under Nested Case-Control
                                  Studies  . . . . . . . . . . . . . . . . 569--580
             Tracy L. Nolen and   
             Michael G. Hudgens   Randomization-Based Inference Within
                                  Principal Strata . . . . . . . . . . . . 581--593
                   Tony Cai and   
                Weidong Liu and   
                         Xi Luo   A Constrained $ell_1$ Minimization
                                  Approach to Sparse Precision Matrix
                                  Estimation . . . . . . . . . . . . . . . 594--607
              A. Chatterjee and   
                   S. N. Lahiri   Bootstrapping Lasso Estimators . . . . . 608--625
                 Yiyuan She and   
                    Art B. Owen   Outlier Detection Using Nonconvex
                                  Penalized Regression . . . . . . . . . . 626--639
            Aurore Delaigle and   
              Alexander Meister   Nonparametric Regression Analysis for
                                  Group Testing Data . . . . . . . . . . . 640--650
                Enno Mammen and   
María Dolores Martínez Miranda and   
         Jens Perch Nielsen and   
                Stefan Sperlich   Do-Validation for Kernel Density
                                  Estimation . . . . . . . . . . . . . . . 651--660
            Andrea Bergesio and   
                Victor J. Yohai   Projection Estimators for Generalized
                                  Linear Models  . . . . . . . . . . . . . 661--671
                   Tony Cai and   
                    Weidong Liu   Adaptive Thresholding for Sparse
                                  Covariance Matrix Estimation . . . . . . 672--684
                Jialiang Li and   
                  Wenyang Zhang   A Semiparametric Threshold Model for
                                  Censored Longitudinal Data Analysis  . . 685--696
         Nicole Krämer and   
               Masashi Sugiyama   The Degrees of Freedom of Partial Least
                                  Squares Regression . . . . . . . . . . . 697--705
           Stefan Van Aelst and   
                   Gert Willems   Robust and Efficient One-Way MANOVA
                                  Tests  . . . . . . . . . . . . . . . . . 706--718
            Azadeh Alimadad and   
        Matias Salibian-Barrera   An Outlier-Robust Fit for Generalized
                                  Additive Models With Applications to
                                  Disease Outbreak Detection . . . . . . . 719--731
               Jiming Jiang and   
               Thuan Nguyen and   
                   J. Sunil Rao   Best Predictive Small Area Estimation    732--745
               Tilmann Gneiting   Making and Evaluating Point Forecasts    746--762
                      Anonymous   Book Reviews . . . . . . . . . . . . . . 763--772
                      Anonymous   Correction . . . . . . . . . . . . . . . 773--773

Journal of the American Statistical Association
Volume 106, Number 495, September, 2011

     Ciprian M. Crainiceanu and   
             Brian S. Caffo and   
                  Sheng Luo and   
        Vadim M. Zipunnikov and   
              Naresh M. Punjabi   Population Value Decomposition, a
                                  Framework for the Analysis of Image
                                  Populations  . . . . . . . . . . . . . . 775--790
                Nicole A. Lazar   Comment: ``Population Value
                                  Decomposition, a Framework for the
                                  Analysis of Image Populations''  . . . . 791--796
                  Kerby Shedden   Comment: ``Population Value
                                  Decomposition, a Framework for the
                                  Analysis of Image Populations''  . . . . 796--797
                 E. F. Lock and   
                A. B. Nobel and   
                   J. S. Marron   Comment: ``Population Value
                                  Decomposition, a Framework for the
                                  Analysis of Image Populations''  . . . . 798--802
                   Ying Nian Wu   Comment: ``Population Value
                                  Decomposition, a Framework for the
                                  Analysis of Image Populations''  . . . . 802--803
     Ciprian M. Crainiceanu and   
             Brian S. Caffo and   
                  Sheng Luo and   
        Vadim M. Zipunnikov and   
              Naresh M. Punjabi   Rejoinder: ``Population Value
                                  Decomposition, a Framework for the
                                  Analysis of Image Populations''  . . . . 803--806
               Hongxia Yang and   
               Sean O'Brien and   
                David B. Dunson   Nonparametric Bayes Stochastically
                                  Ordered Latent Class Models  . . . . . . 807--817
                  Ying Yuan and   
                   Guosheng Yin   Robust EM Continual Reassessment Method
                                  in Oncology Dose Finding . . . . . . . . 818--831
              Cheolwoo Park and   
              Jeongyoun Ahn and   
              Martin Hendry and   
                  Woncheol Jang   Analysis of Long Period Variable Stars
                                  With Nonparametric Tests for Trend
                                  Detection  . . . . . . . . . . . . . . . 832--845
                   Yu Zhang and   
                     Jun S. Liu   Fast and Accurate Approximation to
                                  Significance Tests in Genome-Wide
                                  Association Studies  . . . . . . . . . . 846--857
               Kim P. Huynh and   
David T. Jacho-Chávez and   
         Robert J. Petrunia and   
                    Marcel Voia   Functional Principal Component Analysis
                                  of Density Families With Categorical and
                                  Continuous Data on Canadian Entrant
                                  Manufacturing Firms  . . . . . . . . . . 858--878
                 Aiyou Chen and   
                    Jin Cao and   
                Larry Shepp and   
                    Tuan Nguyen   Distinct Counting With a Self-Learning
                                  Bitmap . . . . . . . . . . . . . . . . . 879--890
               Pei Fen Kuan and   
              Dongjun Chung and   
               Guangjin Pan and   
           James A. Thomson and   
                Ron Stewart and   
       Sündüz Kele\cs   A Statistical Framework for the Analysis
                                  of ChIP-Seq Data . . . . . . . . . . . . 891--903
              Eric B. Laber and   
                Susan A. Murphy   Adaptive Confidence Intervals for the
                                  Test Error in Classification . . . . . . 904--913
            Richard J. Samworth   Comment: ``Adaptive Confidence Intervals
                                  for the Test Error in Classification''   914--915
            Peter Bühlmann   Comment: ``Adaptive Confidence Intervals
                                  for the Test Error in Classification''   916--918
              Lutz Dümbgen   Comment: ``Adaptive Confidence Intervals
                                  for the Test Error in Classification''   919--919
              Yair Goldberg and   
             Michael R. Kosorok   Comment: ``Adaptive Confidence Intervals
                                  for the Test Error in Classification''   920--924
                Yuhong Yang and   
                     Gang Cheng   Comment: ``Adaptive Confidence Intervals
                                  for the Test Error in Classification''   924--931
                  Susan Wei and   
                Andrew B. Nobel   Comment: ``Adaptive Confidence Intervals
                                  for the Test Error in Classification''   931--936
               Wolfgang Polonik   Comment: ``Adaptive Confidence Intervals
                                  for the Test Error in Classification''   936--940
              Eric B. Laber and   
                Susan A. Murphy   Rejoinder: Adaptive Confidence Intervals
                                  for the Test Error in Classification . . 940--945
          Miguel A. Delgado and   
                 Carlos Velasco   An Asymptotically Pivotal Transform of
                                  the Residuals Sample Autocorrelations
                                  With Application to Model Checking . . . 946--958
                    C. Faes and   
              J. T. Ormerod and   
                     M. P. Wand   Variational Bayesian Inference for
                                  Parametric and Nonparametric Regression
                                  With Missing Data  . . . . . . . . . . . 959--971
              Emily L. Kang and   
                   Noel Cressie   Bayesian Inference for the Spatial
                                  Random Effects Model . . . . . . . . . . 972--983
                     Yihua Zhao   Posterior Probability of Discovery and
                                  Expected Rate of Discovery for Multiple
                                  Hypothesis Testing and High Throughput
                                  Assays . . . . . . . . . . . . . . . . . 984--996
                  D. Y. Lin and   
                        D. Zeng   Correcting for Population Stratification
                                  in Genomewide Association Studies  . . . 997--1008
                Seonjoo Lee and   
               Haipeng Shen and   
               Young Truong and   
             Mechelle Lewis and   
                   Xuemei Huang   Independent Component Analysis Involving
                                  Autocorrelated Sources With an
                                  Application to Functional Magnetic
                                  Resonance Imaging  . . . . . . . . . . . 1009--1024
                Minjing Tao and   
                Yazhen Wang and   
                  Qiwei Yao and   
                       Jian Zou   Large Volatility Matrix Inference via
                                  Combining Low-Frequency and
                                  High-Frequency Approaches  . . . . . . . 1025--1040
                Joyee Ghosh and   
               Merlise A. Clyde   Rao--Blackwellization for Bayesian
                                  Variable Selection and Model Averaging
                                  in Linear and Binary Regression: a Novel
                                  Data Augmentation Approach . . . . . . . 1041--1052
                  Hua Liang and   
                 Guohua Zou and   
             Alan T. K. Wan and   
                    Xinyu Zhang   Optimal Weight Choice for Frequentist
                                  Model Average Estimators . . . . . . . . 1053--1066
           Eloise E. Kaizar and   
                     Yan Li and   
                   Jason C. Hsu   Permutation Multiple Tests of Binary
                                  Features Do Not Uniformly Control Error
                                  Rates  . . . . . . . . . . . . . . . . . 1067--1074
                 Jacob Bien and   
              Robert Tibshirani   Hierarchical Clustering With Prototypes
                                  via Minimax Linkage  . . . . . . . . . . 1075--1084
            Edward W. Frees and   
               Glenn Meyers and   
              A. David Cummings   Summarizing Insurance Scores Using a
                                  Gini Index . . . . . . . . . . . . . . . 1085--1098
            Hao Helen Zhang and   
                Guang Cheng and   
                     Yufeng Liu   Linear or Nonlinear? Automatic Structure
                                  Discovery for Partially Linear Models    1099--1112
               Holger Dette and   
         Philip Preuß and   
                 Mathias Vetter   A Measure of Stationarity in Locally
                                  Stationary Processes With Applications
                                  to Testing . . . . . . . . . . . . . . . 1113--1124
             Rahul Mazumder and   
         Jerome H. Friedman and   
                  Trevor Hastie   SparseNet: Coordinate Descent With
                                  Nonconvex Penalties  . . . . . . . . . . 1125--1138
                    Shan Ba and   
               V. Roshan Joseph   Multi-Layer Designs for Computer
                                  Experiments  . . . . . . . . . . . . . . 1139--1149
         Jörg Breitung and   
             Jörn Tenhofen   GLS Estimation of Dynamic Factor Models  1150--1166
               Hongxiao Zhu and   
            Philip J. Brown and   
              Jeffrey S. Morris   Robust, Adaptive Functional Regression
                                  in Functional Mixed Model Framework  . . 1167--1179
                 Yanyuan Ma and   
            Jeffrey D. Hart and   
             Raymond J. Carroll   Density Estimation in Several
                                  Populations With Uncertain Population
                                  Membership . . . . . . . . . . . . . . . 1180--1192
                Xiaobo Ding and   
                     Qihua Wang   Fusion-Refinement Procedure for
                                  Dimension Reduction With Missing
                                  Response at Random . . . . . . . . . . . 1193--1207
           Subhashis Ghosal and   
                    Anindya Roy   Predicting False Discovery Proportion
                                  Under Dependence . . . . . . . . . . . . 1208--1218
                      Anonymous   Book Reviews . . . . . . . . . . . . . . 1219--1224

Journal of the American Statistical Association
Volume 106, Number 496, December, 2011

                Nancy L. Geller   Statistics: An All-Encompassing
                                  Discipline . . . . . . . . . . . . . . . 1225--1229
                  Lan Huang and   
             Jyoti Zalkikar and   
                  Ram C. Tiwari   A Likelihood Ratio Test Based Method for
                                  Signal Detection With Application to
                                  FDA's Drug Safety Data . . . . . . . . . 1230--1241
                     Tao Lu and   
                  Hua Liang and   
                 Hongzhe Li and   
                       Hulin Wu   High-Dimensional ODEs Coupled With
                                  Mixed-Effects Modeling Techniques for
                                  Dynamic Gene Regulatory Network
                                  Identification . . . . . . . . . . . . . 1242--1258
                Minhua Chen and   
                 Aimee Zaas and   
          Christopher Woods and   
       Geoffrey S. Ginsburg and   
               Joseph Lucas and   
               David Dunson and   
                 Lawrence Carin   Predicting Viral Infection From
                                  High-Dimensional Biomarker Trajectories  1259--1279
            Shane T. Jensen and   
               Stephen H. Shore   Semiparametric Bayesian Modeling of
                                  Income Volatility Heterogeneity  . . . . 1280--1290
            William Kleiber and   
          Adrian E. Raftery and   
               Tilmann Gneiting   Geostatistical Model Averaging for
                                  Locally Calibrated Probabilistic
                                  Quantitative Precipitation Forecasting   1291--1303
                Roee Gutman and   
                 Gayle DeDe and   
               David Caplan and   
                     Jun S. Liu   Rasch Model and Its Extensions for
                                  Analysis of Aphasic Deficits in
                                  Syntactic Comprehension  . . . . . . . . 1304--1316
                      Qing Zhou   Multi-Domain Sampling With Applications
                                  to Structural Inference of Bayesian
                                  Networks . . . . . . . . . . . . . . . . 1317--1330
          Scott L. Schwartz and   
                     Fan Li and   
                Fabrizia Mealli   A Bayesian Semiparametric Approach to
                                  Intermediate Variables in Causal
                                  Inference  . . . . . . . . . . . . . . . 1331--1344
                Lin S. Chen and   
              Debashis Paul and   
           Ross L. Prentice and   
                       Pei Wang   A Regularized Hotelling's $T^2$ Test for
                                  Pathway Analysis in Proteomic Studies    1345--1360
          Michael Schweinberger   Instability, Sensitivity, and Degeneracy
                                  of Discrete Exponential Families . . . . 1361--1370
            Jessica Minnier and   
                    Lu Tian and   
                     Tianxi Cai   A Perturbation Method for Inference on
                                  Regularized Regression Estimates . . . . 1371--1382
                     Chris Hans   Elastic Net Regression Modeling With the
                                  Orthant Normal Prior . . . . . . . . . . 1383--1393
                Ori Davidov and   
                Shyamal Peddada   Order-Restricted Inference for
                                  Multivariate Binary Data With
                                  Application to Toxicology  . . . . . . . 1394--1404
                  Mi-Ok Kim and   
                    Yunwen Yang   Semiparametric Approach to a Random
                                  Effects Quantile Regression Model  . . . 1405--1417
               Adrian Dobra and   
              Alex Lenkoski and   
                 Abel Rodriguez   Bayesian Inference for General Gaussian
                                  Graphical Models With Application to
                                  Multivariate Lattice Data  . . . . . . . 1418--1433
                   Jing Qin and   
                  Jing Ning and   
                    Hao Liu and   
                        Yu Shen   Maximum Likelihood Estimations and EM
                                  Algorithms With Length-Biased Data . . . 1434--1449
          David S. Matteson and   
                   Ruey S. Tsay   Dynamic Orthogonal Components for
                                  Multivariate Time Series . . . . . . . . 1450--1463
                Li-Ping Zhu and   
                   Lexin Li and   
                   Runze Li and   
                    Li-Xing Zhu   Model-Free Feature Screening for
                                  Ultrahigh-Dimensional Data . . . . . . . 1464--1475
                 Pengfei Li and   
                       Jing Qin   A New Nuisance-Parameter Elimination
                                  Method With Application to the Unordered
                                  Homologous Chromosome Pairs Problem  . . 1476--1484
                    Bin Zhu and   
        Jeremy M. G. Taylor and   
               Peter X.-K. Song   Semiparametric Stochastic Modeling of
                                  the Rate Function in Longitudinal
                                  Studies  . . . . . . . . . . . . . . . . 1485--1495
          Valentina Corradi and   
             Walter Distaso and   
              Norman R. Swanson   Predictive Inference for Integrated
                                  Volatility . . . . . . . . . . . . . . . 1496--1512
        Alysha M. De Livera and   
             Rob J. Hyndman and   
                Ralph D. Snyder   Forecasting Time Series With Complex
                                  Seasonal Patterns Using Exponential
                                  Smoothing  . . . . . . . . . . . . . . . 1513--1527
             Antonio Canale and   
                David B. Dunson   Bayesian Kernel Mixtures for Counts  . . 1528--1539
                Alfred Hero and   
                Bala Rajaratnam   Large-Scale Correlation Screening  . . . 1540--1552
                      Li Ma and   
                 Wing Hung Wong   Coupling Optional Pólya Trees and the Two
                                  Sample Problem . . . . . . . . . . . . . 1553--1565
                   Tony Cai and   
                    Weidong Liu   A Direct Estimation Approach to Sparse
                                  Linear Discriminant Analysis . . . . . . 1566--1577
                  Peng Ding and   
                   Zhi Geng and   
                    Wei Yan and   
                  Xiao-Hua Zhou   Identifiability and Estimation of Causal
                                  Effects by Principal Stratification With
                                  Outcomes Truncated by Death  . . . . . . 1578--1591
                 Limin Peng and   
                  Ruosha Li and   
                   Ying Guo and   
                Amita Manatunga   A Framework for Assessing Broad Sense
                                  Agreement Between Ordinal and Continuous
                                  Measurements . . . . . . . . . . . . . . 1592--1601
                  Bradley Efron   Tweedie's Formula and Selection Bias . . 1602--1614
              David M. Ruth and   
                Robert A. Koyak   Nonparametric Tests for Homogeneity
                                  Based on Non-Bipartite Matching  . . . . 1615--1625
               Daniell Toth and   
                John L. Eltinge   Building Consistent Regression Trees
                                  From Complex Sample Data . . . . . . . . 1626--1636
                      Anonymous   Book Reviews . . . . . . . . . . . . . . 1637--1648
                      Anonymous   2011 Editorial Collaborators . . . . . . 1649--1654
                      Anonymous   Index to Volume 106 (2011) . . . . . . . 1655--1661


Journal of the American Statistical Association
Volume 107, Number 497, 2012

               Wensheng Zhu and   
                 Yuan Jiang and   
                   Heping Zhang   Nonparametric Covariate-Adjusted
                                  Association Tests Based on the
                                  Generalized Kendall's Tau  . . . . . . . 1--11
               Debbie J. Dupuis   Modeling Waves of Extreme Temperature:
                                  The Changing Tails of Four Cities  . . . 24--39
     Lawrence C. McCandless and   
          Sylvia Richardson and   
                     Nicky Best   Adjustment for Missing Confounders Using
                                  External Validation Data and Propensity
                                  Scores . . . . . . . . . . . . . . . . . 40--51
               James Y. Dai and   
           Peter B. Gilbert and   
       Beno\^\it R. Mâsse   Partially Hidden Markov Model for
                                  Time-Varying Principal Stratification in
                                  HIV Prevention Trials  . . . . . . . . . 52--65
              Jooyoung Jeon and   
                James W. Taylor   Using Conditional Kernel Density
                                  Estimation for Wind Power Density
                                  Forecasting  . . . . . . . . . . . . . . 66--79
                 Tristan Zajonc   Bayesian Inference for Dynamic Treatment
                                  Regimes: Mobility, Equity, and
                                  Efficiency in Student Tracking . . . . . 80--92
        Alexandre Rodrigues and   
                Peter J. Diggle   Bayesian Estimation and Prediction for
                                  Inhomogeneous Spatiotemporal
                                  Log-Gaussian Cox Processes Using
                                  Low-Rank Models, With Application to
                                  Criminal Surveillance  . . . . . . . . . 93--101
             Keyur H. Desai and   
                 John D. Storey   Cross-Dimensional Inference of Dependent
                                  High-Dimensional Data  . . . . . . . . . 135--151
                    Bing Li and   
                Hyonho Chun and   
                    Hongyu Zhao   Sparse Estimation of Conditional
                                  Graphical Models With Application to
                                  Gene Networks  . . . . . . . . . . . . . 152--167
                 Yanyuan Ma and   
                     Liping Zhu   A Semiparametric Approach to Dimension
                                  Reduction  . . . . . . . . . . . . . . . 168--179
               Qian M. Zhou and   
           Peter X.-K. Song and   
               Mary E. Thompson   Information Ratio Test for Model
                                  Misspecification in Quasi-Likelihood
                                  Inference  . . . . . . . . . . . . . . . 205--213
                   Lan Wang and   
                  Yichao Wu and   
                       Runze Li   Quantile Regression for Analyzing
                                  Heterogeneity in Ultra-High Dimension    214--222
              Xiaotong Shen and   
                    Wei Pan and   
                   Yunzhang Zhu   Likelihood-Based Selection and Sharp
                                  Parameter Estimation . . . . . . . . . . 223--232
          Daniel J. Nordman and   
            Soumendra N. Lahiri   Block Bootstraps for Time Series With
                                  Fixed Regressors . . . . . . . . . . . . 233--246
                 Zonghui Hu and   
           Dean A. Follmann and   
                       Jing Qin   Semiparametric Double Balancing Score
                                  Estimation for Incomplete Data With
                                  Ignorable Missingness  . . . . . . . . . 247--257
              Gaurav Sharma and   
                  Thomas Mathew   One-Sided and Two-Sided Tolerance
                                  Intervals in General Mixed and Random
                                  Effects Models Using Small-Sample
                                  Asymptotics  . . . . . . . . . . . . . . 258--267
          Moreno Bevilacqua and   
               Carlo Gaetan and   
                Jorge Mateu and   
                   Emilio Porcu   Estimating Space and Space-Time
                                  Covariance Functions for Large Data
                                  Sets: a Weighted Composite Likelihood
                                  Approach . . . . . . . . . . . . . . . . 268--280
                 Luke Bornn and   
             Gavin Shaddick and   
                 James V. Zidek   Modeling Nonstationary Processes Through
                                  Dimension Expansion  . . . . . . . . . . 281--289
           Michael S. Smith and   
              Mohamad A. Khaled   Estimation of Copula Models With
                                  Discrete Margins via Bayesian Data
                                  Augmentation . . . . . . . . . . . . . . 290--303
         Yulia V. Marchenko and   
                 Marc G. Genton   A Heckman Selection-$t$ Model  . . . . . 304--317
             Ying Qing Chen and   
                     Nan Hu and   
              Su-Chun Cheng and   
            Philippa Musoke and   
                  Lue Ping Zhao   Estimating Regression Parameters in an
                                  Extended Proportional Odds Model . . . . 318--330
                Ruoqing Zhu and   
             Michael R. Kosorok   Recursively Imputed Survival Trees . . . 331--340
             Sebastian Irle and   
            Helmut Schäfer   Interim Design Modifications in
                                  Time-to-Event Studies  . . . . . . . . . 341--348
            Bodhisattva Sen and   
               Probal Chaudhuri   On Fractile Transformation of Covariates
                                  in Regression  . . . . . . . . . . . . . 349--361
       Anirban Bhattacharya and   
                David B. Dunson   Simplex Factor Models for Multivariate
                                  Unordered Categorical Data . . . . . . . 362--377
              Ranjan Maitra and   
         Volodymyr Melnykov and   
            Soumendra N. Lahiri   Bootstrapping for Significance of
                                  Compact Clusters in Multidimensional
                                  Datasets . . . . . . . . . . . . . . . . 378--392
               Peter Z. G. Qian   Sliced Latin Hypercube Designs . . . . . 393--399
              Dávid Papp   Optimal Designs for Rational Function
                                  Regression . . . . . . . . . . . . . . . 400--411
               Jianqing Fan and   
                Yingying Li and   
                          Ke Yu   Vast Volatility Matrix Estimation Using
                                  High-Frequency Data for Portfolio
                                  Selection  . . . . . . . . . . . . . . . 412--428
                      Anonymous   Book Reviews . . . . . . . . . . . . . . 429--438

Journal of the American Statistical Association
Volume 107, Number 498, 2012

           Earvin Balderama and   
   Frederic Paik Schoenberg and   
                Erin Murray and   
               Philip W. Rundel   Application of Branching Models in the
                                  Study of Invasive Species  . . . . . . . 467--476
                 Giseon Heo and   
            Jennifer Gamble and   
                   Peter T. Kim   Topological Analysis of Variance and the
                                  Maxillary Complex  . . . . . . . . . . . 477--492
                    Lu Wang and   
           Andrea Rotnitzky and   
                 Xihong Lin and   
        Randall E. Millikan and   
                 Peter F. Thall   Evaluation of Viable Dynamic Treatment
                                  Regimes in a Sequentially Randomized
                                  Trial of Advanced Prostate Cancer  . . . 493--508
            Daniel Almirall and   
          Daniel J. Lizotte and   
                Susan A. Murphy   Comment  . . . . . . . . . . . . . . . . 509--512
                    Lu Wang and   
           Andrea Rotnitzky and   
                 Xihong Lin and   
        Randall E. Millikan and   
                 Peter F. Thall   Rejoinder  . . . . . . . . . . . . . . . 518--520
               Michael E. Sobel   Does Marriage Boost Men's Wages?:
                                  Identification of Treatment Effects in
                                  Fixed Effects Regression Models for
                                  Panel Data . . . . . . . . . . . . . . . 521--529
                     Xi Luo and   
             Dylan S. Small and   
          Chiang-Shan R. Li and   
              Paul R. Rosenbaum   Inference With Interference Between
                                  Units in an fMRI Experiment of Motor
                                  Inhibition . . . . . . . . . . . . . . . 530--541
                      Li Li and   
             Joseph J. Eron and   
            Heather Ribaudo and   
              Roy M. Gulick and   
               Brent A. Johnson   Evaluating the Effect of Early Versus
                                  Late ARV Regimen Change if Failure on an
                                  Initial Regimen: Results From the AIDS
                                  Clinical Trials Group Study A5095  . . . 542--554
           Dulal K. Bhaumik and   
                Anup Amatya and   
     Sharon-Lise T. Normand and   
            Joel Greenhouse and   
              Eloise Kaizar and   
               Brian Neelon and   
              Robert D. Gibbons   Meta-Analysis of Rare Binary Adverse
                                  Event Data . . . . . . . . . . . . . . . 555--567
               Hakmook Kang and   
             Hernando Ombao and   
         Crystal Linkletter and   
                Nicole Long and   
                    David Badre   Spatio-Spectral Mixed-Effects Model for
                                  Functional Magnetic Resonance Imaging
                                  Data . . . . . . . . . . . . . . . . . . 568--577
             Thomas Barrios and   
            Rebecca Diamond and   
            Guido W. Imbens and   
          Michal Kolesár   Clustering, Spatial Correlations, and
                                  Randomization Inference  . . . . . . . . 578--591
               Jianqing Fan and   
              Jingjin Zhang and   
                          Ke Yu   Vast Portfolio Selection With
                                  Gross-Exposure Constraints . . . . . . . 592--606
           Alessandra Luati and   
           Tommaso Proietti and   
                    Marco Reale   The Variance Profile . . . . . . . . . . 607--621
             Viktor Todorov and   
                 George Tauchen   Inverse Realized Laplace Transforms for
                                  Nonparametric Volatility Density
                                  Estimation in Jump-Diffusions  . . . . . 622--635
            James O. Berger and   
           Jose M. Bernardo and   
                    Dongchu Sun   Objective Priors for Discrete Parameter
                                  Spaces . . . . . . . . . . . . . . . . . 636--648
           Valen E. Johnson and   
                  David Rossell   Bayesian Model Selection in
                                  High-Dimensional Settings  . . . . . . . 649--660
                 Peter Hall and   
             Michael G. Schimek   Moderate-Deviation-Based Inference for
                                  Random Degeneration in Paired Rank Lists 661--672
               Wenguang Sun and   
            Alexander C. McLain   Multiple Testing of Composite Null
                                  Hypotheses in Heteroscedastic Models . . 673--687
                Liuquan Sun and   
               Xinyuan Song and   
                   Jie Zhou and   
                        Lei Liu   Joint Analysis of Longitudinal Data With
                                  Informative Observation Times and a
                                  Dependent Terminal Event . . . . . . . . 688--700
               Jianhui Zhou and   
                       Annie Qu   Informative Estimation and Selection of
                                  Correlation Structure for Longitudinal
                                  Data . . . . . . . . . . . . . . . . . . 701--710
                 Mian Huang and   
                     Weixin Yao   Mixture of Regression Models With
                                  Varying Mixing Proportions: a
                                  Semiparametric Approach  . . . . . . . . 711--724
                  Peng Wang and   
             Guei-feng Tsai and   
                       Annie Qu   Conditional Inference Functions for
                                  Mixed-Effects Models With Unspecified
                                  Random-Effects Distribution  . . . . . . 725--736
                     Jun Li and   
    Juan A. Cuesta-Albertos and   
                  Regina Y. Liu   \em DD-Classifier: Nonparametric
                                  Classification Procedure Based on \em
                                  DD-Plot  . . . . . . . . . . . . . . . . 737--753
                       Ute Hahn   A Studentized Permutation Test for the
                                  Comparison of Spatial Point Patterns . . 754--764
                     Ta-Hsin Li   Quantile Periodograms  . . . . . . . . . 765--776
           Thomas J. Fisher and   
             Colin M. Gallagher   New Weighted Portmanteau Statistics for
                                  Time Series Goodness of Fit Testing  . . 777--787
    Christopher R. Genovese and   
      Marco Perone-Pacifico and   
        Isabella Verdinelli and   
                Larry Wasserman   The Geometry of Nonparametric Filament
                                  Estimation . . . . . . . . . . . . . . . 788--799
                  Sylvain Sardy   Smooth Blockwise Iterative Thresholding:
                                  a Smooth Fixed Point Estimator Based on
                                  the Likelihood's Block Gradient  . . . . 800--813
                Daniel Percival   Structured, Sparse Aggregation . . . . . 814--823
                W. Brannath and   
                 G. Gutjahr and   
                       P. Bauer   Probabilistic Foundation of Confirmatory
                                  Adaptive Designs . . . . . . . . . . . . 824--832
             Alberto Abadie and   
                Guido W. Imbens   A Martingale Representation for Matching
                                  Estimators . . . . . . . . . . . . . . . 833--843

Journal of the American Statistical Association
Volume 107, Number 499, 2012

        Ioanna Manolopoulou and   
          Melanie P. Matheu and   
         Michael D. Cahalan and   
                  Mike West and   
               Thomas B. Kepler   Bayesian Spatio-Dynamic Modeling in Cell
                                  Motility Studies: Learning Nonlinear
                                  Taxic Fields Guiding the Immune Response 855--865
          Laura A. Hatfield and   
               Mark E. Boye and   
       Michelle D. Hackshaw and   
              Bradley P. Carlin   Multilevel Bayesian Models for Survival
                                  Times and Longitudinal Patient-Reported
                                  Outcomes With Many Zeros . . . . . . . . 875--885
            Sally Picciotto and   
    Miguel A. Hernán and   
               John H. Page and   
           Jessica G. Young and   
                James M. Robins   Structural Nested Cumulative Failure
                                  Time Models to Estimate the Effects of
                                  Interventions  . . . . . . . . . . . . . 886--900
 José R. Zubizarreta and   
                Mark Neuman and   
          Jeffrey H. Silber and   
              Paul R. Rosenbaum   Contrasting Evidence Within and Between
                                  Institutions That Provide Treatment in
                                  an Observational Study of Alternate
                                  Forms of Anesthesia  . . . . . . . . . . 901--915
                  Qirong Ho and   
            Ankur P. Parikh and   
                   Eric P. Xing   A Multiscale Community Blockmodel for
                                  Network Exploration  . . . . . . . . . . 916--934
                 Jianhua Hu and   
                      Xuming He   Searching for Alternative Splicing With
                                  a Joint Model on Probe Measurability and
                                  Expression Intensities . . . . . . . . . 935--945
            Chiung-yu Huang and   
                       Jing Qin   Composite Partial Likelihood Estimation
                                  Under Length-Biased Sampling, With
                                  Application to a Prevalent Cohort Study
                                  of Dementia  . . . . . . . . . . . . . . 946--957
              Brent Kreider and   
             John V. Pepper and   
            Craig Gundersen and   
                  Dean Jolliffe   Identifying the Effects of SNAP (Food
                                  Stamps) on Child Health Outcomes When
                                  Participation Is Endogenous and
                                  Misreported  . . . . . . . . . . . . . . 958--975
María José García-Zattera and   
             Alejandro Jara and   
          Emmanuel Lesaffre and   
             Guillermo Marshall   Modeling of Multivariate Monotone
                                  Disease Processes in the Presence of
                                  Misclassification  . . . . . . . . . . . 976--989
               A. Adam Ding and   
               Shaonan Tian and   
                     Yan Yu and   
                        Hui Guo   A Class of Discrete Transformation
                                  Survival Models With Application to
                                  Default Probability Prediction . . . . . 990--1003
               Jianqing Fan and   
                     Xu Han and   
                      Weijie Gu   Estimating False Discovery Proportion
                                  Under Arbitrary Covariance Dependence    1019--1035
                   Qin Zhou and   
             Changliang Zou and   
               Zhaojun Wang and   
                      Wei Jiang   Likelihood-Based EWMA Charts for
                                  Monitoring Poisson Count Data With
                                  Time-Varying Sample Sizes  . . . . . . . 1049--1062
    Anastasios Panagiotelis and   
              Claudia Czado and   
                      Harry Joe   Pair Copula Constructions for
                                  Multivariate Discrete Data . . . . . . . 1063--1072
          Jens-peter Kreiss and   
         Efstathios Paparoditis   The Hybrid Wild Bootstrap for Time
                                  Series . . . . . . . . . . . . . . . . . 1073--1084
        Victor M. Panaretos and   
                    Kjell Konis   Nonparametric Construction of
                                  Multivariate Kernels . . . . . . . . . . 1085--1095
                Jiahua Chen and   
                 Pengfei Li and   
                     Yuejiao Fu   Inference on the Order of a Normal
                                  Mixture  . . . . . . . . . . . . . . . . 1096--1105
                Yingqi Zhao and   
               Donglin Zeng and   
               A. John Rush and   
             Michael R. Kosorok   Estimating Individualized Treatment
                                  Rules Using Outcome Weighted Learning    1106--1118
                   Runze Li and   
                  Wei Zhong and   
                     Liping Zhu   Feature Screening via Distance
                                  Correlation Learning . . . . . . . . . . 1129--1139
               Holger Dette and   
             Matthias Trampisch   Optimal Designs for Quantile Regression
                                  Models . . . . . . . . . . . . . . . . . 1140--1151
              Trent Gaugler and   
             Michael G. Akritas   Mixed Effects Designs: The Symmetry
                                  Assumption and Missing Data  . . . . . . 1230--1238
              Shurong Zheng and   
             Ning-Zhong Shi and   
                 Zhengjun Zhang   Generalized Measures of Correlation for
                                  Asymmetry, Nonlinearity, and Beyond  . . 1239--1252

Journal of the American Statistical Association
Volume 107, Number 500, 2012

              William Astle and   
             Maria De Iorio and   
          Sylvia Richardson and   
             David Stephens and   
                 Timothy Ebbels   A Bayesian Model of NMR Spectra for the
                                  Deconvolution and Quantification of
                                  Metabolites in Complex Biological
                                  Mixtures . . . . . . . . . . . . . . . . 1259--1271
                  Yuan Wang and   
               J. S. Marron and   
                Burcu Aydin and   
                 Alim Ladha and   
          Elizabeth Bullitt and   
                    Haonan Wang   A Nonparametric Regression Model With
                                  Tree-Structured Response . . . . . . . . 1272--1285
         Manuel Wiesenfarth and   
        Tatyana Krivobokova and   
             Stephan Klasen and   
                Stefan Sperlich   Direct Simultaneous Inference in
                                  Additive Models and Its Application to
                                  Model Undernutrition . . . . . . . . . . 1286--1296
            Martin A. Lindquist   Functional Causal Mediation Analysis
                                  With an Application to Brain
                                  Connectivity . . . . . . . . . . . . . . 1297--1309
         Sandra M. Mohammed and   
       Damla \cSentürk and   
        Lorien S. Dalrymple and   
                 Danh V. Nguyen   Measurement Error Case Series Models
                                  With Application to
                                  Infection-Cardiovascular Risk in Older
                                  Patients on Dialysis . . . . . . . . . . 1310--1323
               Yuanjia Wang and   
            Tanya P. Garcia and   
                     Yanyuan Ma   Nonparametric Estimation for Censored
                                  Mixture Data With Application to the
                                  Cooperative Huntington's Observational
                                  Research Trial . . . . . . . . . . . . . 1324--1338
              Hsiu-Hsi Chen and   
          Amy Ming-Fang Yen and   
László Tabár   A Stochastic Model for Calibrating the
                                  Survival Benefit of Screen-Detected
                                  Cancers  . . . . . . . . . . . . . . . . 1339--1359
     José R. Zubizarreta   Using Mixed Integer Programming for
                                  Matching in an Observational Study of
                                  Kidney Failure After Surgery . . . . . . 1360--1371
          Donatello Telesca and   
          Peter Müller and   
         Steven M. Kornblau and   
            Marc A. Suchard and   
                        Yuan Ji   Modeling Protein Expression and Protein
                                  Signaling Pathways . . . . . . . . . . . 1372--1384
    Daniel Manrique-Vallier and   
               Jerome P. Reiter   Estimating Identification Disclosure
                                  Risk Using Mixed Membership Models . . . 1385--1394
        Michelle R. Danaher and   
                Anindya Roy and   
                  Zhen Chen and   
           Sunni L. Mumford and   
         Enrique F. Schisterman   Minkowski--Weyl Priors for Models With
                                  Parameter Constraints: An Analysis of
                                  the BioCycle Study . . . . . . . . . . . 1395--1409
                Vanja Dukic and   
          Hedibert F. Lopes and   
             Nicholas G. Polson   Tracking Epidemics With Google Flu
                                  Trends Data and a State-Space SEIR Model 1410--1426
          Donatello Telesca and   
          Elena A. Erosheva and   
           Derek A. Kreager and   
               Ross L. Matsueda   Modeling Criminal Careers as Departures
                                  From a Unimodal Population Age-Crime
                                  Curve: The Case of Marijuana Use . . . . 1427--1440
              Summer S. Han and   
        Philip S. Rosenberg and   
            Nilanjan Chatterjee   Testing for Gene-Environment and
                                  Gene-Gene Interactions Under
                                  Monotonicity Constraints . . . . . . . . 1441--1452
           Huixia Judy Wang and   
                  Deyuan Li and   
                      Xuming He   Estimation of High Conditional Quantiles
                                  for Heavy-Tailed Distributions . . . . . 1453--1464
               Xianchao Xie and   
                  S. C. Kou and   
              Lawrence D. Brown   SURE Estimates for a Heteroscedastic
                                  Hierarchical Model . . . . . . . . . . . 1465--1479
               Lingzhou Xue and   
                 Shiqian Ma and   
                        Hui Zou   Positive-Definite $ l_1 $-Penalized
                                  Estimation of Large Covariance Matrices  1480--1491
               Layla Parast and   
              Su-Chun Cheng and   
                     Tianxi Cai   Landmark Prediction of Long-Term
                                  Survival Incorporating Short-Term Event
                                  Time Information . . . . . . . . . . . . 1492--1501
                   P. L. Davies   Interactions in the Analysis of Variance 1502--1509
             Justin S. Dyer and   
                    Art B. Owen   Correct Ordering in the Zipf--Poisson
                                  Ensemble . . . . . . . . . . . . . . . . 1510--1517
             Fabian Scheipl and   
            Ludwig Fahrmeir and   
                   Thomas Kneib   Spike-and-Slab Priors for Function
                                  Selection in Structured Additive
                                  Regression Models  . . . . . . . . . . . 1518--1532
                 Lisha Chen and   
               Jianhua Z. Huang   Sparse Reduced-Rank Regression for
                                  Simultaneous Dimension Reduction and
                                  Variable Selection . . . . . . . . . . . 1533--1545
          Davide La Vecchia and   
          Elvezio Ronchetti and   
                  Fabio Trojani   Higher-Order Infinitesimal Robustness    1546--1557
                  S. C. Kou and   
         Benjamin P. Olding and   
                Martin Lysy and   
                     Jun S. Liu   A Multiresolution Method for Parameter
                                  Estimation of Diffusion Processes  . . . 1558--1574
                  Ori Rosen and   
                 Sally Wood and   
               David S. Stoffer   AdaptSPEC: Adaptive Spectral Estimation
                                  for Nonstationary Time Series  . . . . . 1575--1589
                 R. Killick and   
               P. Fearnhead and   
                   I. A. Eckley   Optimal Detection of Changepoints With a
                                  Linear Computational Cost  . . . . . . . 1590--1598
                 Kehui Chen and   
         Hans-Georg Müller   Modeling Repeated Functional
                                  Observations . . . . . . . . . . . . . . 1599--1609
          Howard D. Bondell and   
                 Brian J. Reich   Consistent High-Dimensional Bayesian
                                  Variable Selection via Penalized
                                  Credible Regions . . . . . . . . . . . . 1610--1624
               Haipeng Xing and   
                  Zhiliang Ying   A Semiparametric Change-Point Regression
                                  Model for Longitudinal Observations  . . 1625--1637
             Paul S. Clarke and   
               Frank Windmeijer   Instrumental Variable Estimators for
                                  Binary Outcomes  . . . . . . . . . . . . 1638--1652
                      Anonymous   Book Reviews . . . . . . . . . . . . . . 1653--1655
                      Anonymous   Erratum  . . . . . . . . . . . . . . . . 1656--1656
                      Anonymous   Editorial Collaborators  . . . . . . . . 1657--1662
                      Anonymous   Editorial Board EOV  . . . . . . . . . . ebi--ebi


Journal of the American Statistical Association
Volume 108, Number 501, 2013

            Robert N. Rodriguez   Building the Big Tent for Statistics . . 1--6
                 Haeran Cho and   
               Yannig Goude and   
             Xavier Brossat and   
                      Qiwei Yao   Modeling and Forecasting Daily
                                  Electricity Load Curves: a Hybrid
                                  Approach . . . . . . . . . . . . . . . . 7--21
           Ephraim M. Hanks and   
                Mevin B. Hooten   Circuit Theory and Model-Based Inference
                                  for Landscape Connectivity . . . . . . . 22--33
                Roee Gutman and   
   Christopher C. Afendulis and   
              Alan M. Zaslavsky   A Bayesian Procedure for File Linking to
                                  Analyze End-of-Life Medical Costs  . . . 34--47
                 Man-Wai Ho and   
                  Wanzhu Tu and   
                Pulak Ghosh and   
                  Ram C. Tiwari   A Nested Dirichlet Process Analysis of
                                  Cluster Randomized Trial Data With
                                  Application in Geriatric Care Assessment 48--68
                Riten Mitra and   
          Peter Müller and   
              Shoudan Liang and   
                     Lu Yue and   
                        Yuan Ji   A Bayesian Graphical Model for ChIP-Seq
                                  Data on Histone Modifications  . . . . . 69--80
         Michael W. Robbins and   
             Sujit K. Ghosh and   
              Joshua D. Habiger   Imputation in High-Dimensional Economic
                                  Data as Applied to the Agricultural
                                  Resource Management Survey . . . . . . . 81--95
            Mark C. Wheldon and   
          Adrian E. Raftery and   
            Samuel J. Clark and   
                Patrick Gerland   Reconstructing Past Populations With
                                  Uncertainty From Fragmentary Data  . . . 96--110
                Duchwan Ryu and   
               Faming Liang and   
                Bani K. Mallick   Sea Surface Temperature Modeling using
                                  Radial Basis Function Networks With a
                                  Dynamically Weighted Particle Filter . . 111--123
                 Drew A. Linzer   Dynamic Bayesian Forecasting of
                                  Presidential Elections in the States . . 124--134
               Jesse Y. Hsu and   
             Dylan S. Small and   
              Paul R. Rosenbaum   Effect Modification and Design
                                  Sensitivity in Observational Studies . . 135--148
         Edoardo M. Airoldi and   
           Alexander W. Blocker   Estimating Latent Processes on a Network
                                  From Indirect Measurements . . . . . . . 149--164
             Asaf Weinstein and   
            William Fithian and   
                 Yoav Benjamini   Selection Adjusted Confidence Intervals
                                  With More Power to Determine the Sign    165--176
            S. M. Schennach and   
                     Yingyao Hu   Nonparametric Identification and
                                  Semiparametric Estimation of Classical
                                  Measurement Error Models Without Side
                                  Information  . . . . . . . . . . . . . . 177--186
               Garritt Page and   
      Abhishek Bhattacharya and   
                   David Dunson   Classification via Bayesian
                                  Nonparametric Learning of Affine
                                  Subspaces  . . . . . . . . . . . . . . . 187--201
             Arlene Naranjo and   
      A. Alexandre Trindade and   
                 George Casella   Extending the State-Space Model to
                                  Accommodate Missing Values in Responses
                                  and Covariates . . . . . . . . . . . . . 202--216
              Jane Paik Kim and   
                  Wenbin Lu and   
                   Tony Sit and   
                  Zhiliang Ying   A Unified Approach to Semiparametric
                                  Transformation Models Under General
                                  Biased Sampling Schemes  . . . . . . . . 217--227
                 Qian Jiang and   
              Hansheng Wang and   
                Yingcun Xia and   
                   Guohua Jiang   On a Principal Varying Coefficient Model 228--236
              Zhenghui Feng and   
         Xuerong Meggie Wen and   
                    Zhou Yu and   
                     Lixing Zhu   On Partial Sufficient Dimension
                                  Reduction With Applications to Partially
                                  Linear Multi-Index Models  . . . . . . . 237--246
                    Wei Lin and   
                      Jinchi Lv   High-Dimensional Sparse Additive Hazards
                                  Regression . . . . . . . . . . . . . . . 247--264
                   Tony Cai and   
                Weidong Liu and   
                        Yin Xia   Two-Sample Covariance Matrix Testing and
                                  Support Recovery in High-Dimensional and
                                  Sparse Settings  . . . . . . . . . . . . 265--277
                   Jing Lei and   
               James Robins and   
                Larry Wasserman   Distribution-Free Prediction Sets  . . . 278--287
                     Fei Fu and   
                      Qing Zhou   Learning Sparse Causal Gaussian Networks
                                  With Experimental Intervention:
                                  Regularization and Coordinate Descent    288--300
                Ryan Martin and   
                   Chuanhai Liu   Inferential Models: a Framework for
                                  Prior-Free Posterior Probabilistic
                                  Inference  . . . . . . . . . . . . . . . 301--313
            Christoph Rothe and   
                   Dominik Wied   Misspecification Testing in a Class of
                                  Conditional Distributional Models  . . . 314--324
               Faming Liang and   
               Yichen Cheng and   
                 Qifan Song and   
              Jincheol Park and   
                      Ping Yang   A Resampling-Based Stochastic
                                  Approximation Method for Analysis of
                                  Large Geostatistical Data  . . . . . . . 325--339
    G. García-donato and   
  M. A. Martínez-beneito   On Sampling Strategies in Bayesian
                                  Variable Selection Problems With Large
                                  Model Spaces . . . . . . . . . . . . . . 340--352
                      Anonymous   Book Review Index  . . . . . . . . . . . 353--358

Journal of the American Statistical Association
Volume 108, Number 502, 2013

             Roderick J. Little   In Praise of Simplicity not
                                  Mathematistry! Ten Simple Powerful Ideas
                                  for the Statistical Scientist  . . . . . 359--369
                  Edward Ip and   
                Qiang Zhang and   
               Jack Rejeski and   
               Tammy Harris and   
            Stephen Kritchevsky   Partially Ordered Mixed Hidden Markov
                                  Model for the Disablement Process of
                                  Older Adults . . . . . . . . . . . . . . 370--384
           Mauricio Sadinle and   
            Stephen E. Fienberg   A Generalized Fellegi--Sunter Framework
                                  for Multiple Record Linkage With
                                  Application to Homicide Record Systems   385--397
           Natallia Katenka and   
           Elizaveta Levina and   
             George Michailidis   Tracking Multiple Targets Using Binary
                                  Decisions From Wireless Sensor Networks  398--410
        Avishek Chakraborty and   
            Bani K. Mallick and   
          Ryan G. Mcclarren and   
          Carolyn C. Kuranz and   
              Derek Bingham and   
       Michael J. Grosskopf and   
            Erica M. Rutter and   
         Hayes F. Stripling and   
                  R. Paul Drake   Spline-Based Emulators for Radiative
                                  Shock Experiments With Measurement Error 411--428
          Curtis B. Storlie and   
          Sarah E. Michalak and   
           Heather M. Quinn and   
           Andrew J. Dubois and   
           Steven A. Wender and   
                David H. Dubois   A Bayesian Reliability Analysis of
                                  Neutron-Induced Errors in High
                                  Performance Computing Hardware . . . . . 429--440
          Monica Costa Dias and   
          Hidehiko Ichimura and   
         Gerard J. van den Berg   Treatment Evaluation With Selective
                                  Participation and Ineligibles  . . . . . 441--455
       David A. Friedenberg and   
        Christopher R. Genovese   Straight to the Source: Detecting
                                  Aggregate Objects in Astronomical Images
                                  With Proper Error Control  . . . . . . . 456--468
       Tyler J. Vanderweele and   
              Guanglei Hong and   
         Stephanie M. Jones and   
                Joshua L. Brown   Mediation and Spillover Effects in
                                  Group-Randomized Trials: A Case Study of
                                  the 4Rs Educational Intervention . . . . 469--482
               Yueqing Wang and   
                  Xin Jiang and   
                     Bin Yu and   
                     Ming Jiang   A Hierarchical Bayesian Approach for
                                  Aerosol Retrieval Using MISR Data  . . . 483--493
                Sungduk Kim and   
                  Zhen Chen and   
               Zhiwei Zhang and   
     Bruce G. Simons-Morton and   
                 Paul S. Albert   Bayesian Hierarchical Poisson Regression
                                  Models: An Application to a Driving
                                  Study With Kinematic Events  . . . . . . 494--503
                 Zahra Siddique   Partially Identified Treatment Effects
                                  Under Imperfect Compliance: The Case of
                                  Domestic Violence  . . . . . . . . . . . 504--513
          Josue G. Martinez and   
            Kirsten M. Bohn and   
         Raymond J. Carroll and   
              Jeffrey S. Morris   A Study of Mexican Free-Tailed Bat Chirp
                                  Syllables: Bayesian Functional Mixed
                                  Models for Nonstationary Acoustic Time
                                  Series . . . . . . . . . . . . . . . . . 514--526
                 Lihui Zhao and   
                    Lu Tian and   
                 Tianxi Cai and   
             Brian Claggett and   
                      L. J. Wei   Effectively Selecting a Target
                                  Population for a Future Comparative
                                  Study  . . . . . . . . . . . . . . . . . 527--539
                   Hua Zhou and   
                   Lexin Li and   
                     Hongtu Zhu   Tensor Regression with Applications in
                                  Neuroimaging Data Analysis . . . . . . . 540--552
               Yuanjia Wang and   
               Huaihou Chen and   
               Donglin Zeng and   
            Christine Mauro and   
                Naihua Duan and   
             M. Katherine Shear   Auxiliary Marker-Assisted Classification
                                  in the Absence of Class Identifiers  . . 553--565
               Arpita Ghosh and   
             Fred A. Wright and   
                        Fei Zou   Unified Analysis of Secondary Traits in
                                  Case-Control Association Studies . . . . 566--576
                     Ting Zhang   Clustering High-Dimensional Time Series
                                  Based on Parallelism . . . . . . . . . . 577--588
               Faming Liang and   
                 Qifan Song and   
                         Kai Yu   Bayesian Subset Modeling for
                                  High-Dimensional Generalized Linear
                                  Models . . . . . . . . . . . . . . . . . 589--606
           J. T. Gene Hwang and   
                    Zhigen Zhao   Empirical Bayes Confidence Intervals for
                                  Selected Parameters in High-Dimensional
                                  Data . . . . . . . . . . . . . . . . . . 607--618
                   Rong Liu and   
                Lijian Yang and   
        Wolfgang K. Härdle   Oracally Efficient Two-Step Estimation
                                  of Generalized Additive Model  . . . . . 619--631
                Xueqin Wang and   
                Yunlu Jiang and   
                 Mian Huang and   
                   Heping Zhang   Robust Variable Selection With
                                  Exponential Squared Loss . . . . . . . . 632--643
          Howard D. Bondell and   
           Leonard A. Stefanski   Efficient Robust Regression via
                                  Two-Stage Generalized Empirical
                                  Likelihood . . . . . . . . . . . . . . . 644--655
            Jared S. Murray and   
            David B. Dunson and   
             Lawrence Carin and   
                Joseph E. Lucas   Bayesian Gaussian Copula Factor Models
                                  for Mixed Data . . . . . . . . . . . . . 656--665
                      Bo Li and   
                 Marc G. Genton   Nonparametric Identification of Copula
                                  Structures . . . . . . . . . . . . . . . 666--675
                 Hohsuk Noh and   
           Anouar El Ghouch and   
             Taoufik Bouezmarni   Copula-Based Regression Estimation and
                                  Inference  . . . . . . . . . . . . . . . 676--688
               Dong Hwan Oh and   
               Andrew J. Patton   Simulated Method of Moments Estimation
                                  for Copula-Based Multivariate Models . . 689--700
               Chunpeng Fan and   
                  Jason P. Fine   Linear Transformation Model With
                                  Parametric Covariate Transformations . . 701--712
               Yunzhang Zhu and   
              Xiaotong Shen and   
                        Wei Pan   Simultaneous Grouping Pursuit and
                                  Feature Selection Over an Undirected
                                  Graph  . . . . . . . . . . . . . . . . . 713--725
                      Zhou Zhou   Heteroscedasticity and Autocorrelation
                                  Robust Structural Change Detection . . . 726--740
          Lawrence D. Brown and   
          Eitan Greenshtein and   
                   Ya'cov Ritov   The Poisson Compound Decision Problem
                                  Revisited  . . . . . . . . . . . . . . . 741--749
                      Anonymous   Book Reviews . . . . . . . . . . . . . . 750--754

Journal of the American Statistical Association
Volume 108, Number 503, 2013

                     Matt Taddy   Multinomial Inverse Regression for Text
                                  Analysis . . . . . . . . . . . . . . . . 755--770
                 Justin Grimmer   Comment  . . . . . . . . . . . . . . . . 770--771
                  David M. Blei   Comment  . . . . . . . . . . . . . . . . 771--772
                     Matt Taddy   Rejoinder: Efficiency and Structure in
                                  MNIR . . . . . . . . . . . . . . . . . . 772--774
                  Juhee Lee and   
          Peter Müller and   
                  Yitan Zhu and   
                        Yuan Ji   A Nonparametric Bayesian Model for Local
                                  Clustering With Application to
                                  Proteomics . . . . . . . . . . . . . . . 775--788
           Peter B. Gilbert and   
          Bryan E. Shepherd and   
             Michael G. Hudgens   Sensitivity Analysis of Per-Protocol
                                  Time-to-Event Treatment Efficacy in
                                  Randomized Clinical Trials . . . . . . . 789--800
               James Raymer and   
     Arkadiusz Wi\'sniowski and   
        Jonathan J. Forster and   
          Peter W. F. Smith and   
                    Jakub Bijak   Integrated Modeling of European
                                  Migration  . . . . . . . . . . . . . . . 801--819
             Brian J. Reich and   
     Dipankar Bandyopadhyay and   
              Howard D. Bondell   A Nonparametric Spatial Model for
                                  Periodontal Data With Nonrandom
                                  Missingness  . . . . . . . . . . . . . . 820--831
       Jason L. Morrissette and   
           Michael P. Mcdermott   Estimation and Inference Concerning
                                  Ordered Means in Analysis of Covariance
                                  Models With Interactions . . . . . . . . 832--839
            Roland Langrock and   
          David L. Borchers and   
                  Hans J. Skaug   Markov-Modulated Nonhomogeneous Poisson
                                  Processes for Modeling Detections in
                                  Surveys of Marine Mammal Abundance . . . 840--851
           Jonathan Rougier and   
          Michael Goldstein and   
                   Leanna House   Second-Order Exchangeability Analysis
                                  for Multimodel Ensembles . . . . . . . . 852--863
                     Tao Yu and   
                     Pengfei Li   Spatial Shrinkage Estimation of
                                  Diffusion Tensors on Diffusion-Weighted
                                  Imaging Data . . . . . . . . . . . . . . 864--875
        Francesco C. Stingo and   
           Michele Guindani and   
            Marina Vannucci and   
               Vince D. Calhoun   An Integrative Bayesian Modeling
                                  Approach to Imaging Genetics . . . . . . 876--891
                  Jin Zhang and   
                Thomas M. Braun   A Phase I Bayesian Adaptive Design to
                                  Simultaneously Optimize Dose and
                                  Schedule Assignments Both Between and
                                  Within Patients  . . . . . . . . . . . . 892--901
             Jerry Q. Cheng and   
                  Minge Xie and   
                  Rong Chen and   
                   Fred Roberts   A Latent Source Model to Detect Multiple
                                  Spatial Clusters With Application in a
                                  Mobile Sensor Network for Surveillance
                                  of Nuclear Materials . . . . . . . . . . 902--913
                 Yichen Qin and   
                Carey E. Priebe   Maximum $ L_q $-Likelihood Estimation
                                  via the Expectation-Maximization
                                  Algorithm: A Robust Estimation of
                                  Mixture Models . . . . . . . . . . . . . 914--928
                 Mian Huang and   
                   Runze Li and   
                    Shaoli Wang   Nonparametric Mixture of Regression
                                  Models . . . . . . . . . . . . . . . . . 929--941
          Mahbubul Majumder and   
              Heike Hofmann and   
                    Dianne Cook   Validation of Visual Statistical
                                  Inference, Applied to Linear Models  . . 942--956
                  Susan Wei and   
             Michael R. Kosorok   Latent Supervised Learning . . . . . . . 957--970
                Colin O. Wu and   
                       Xin Tian   Nonparametric Estimation of Conditional
                                  Distributions and Rank-Tracking
                                  Probabilities With Time-Varying
                                  Transformation Models in Longitudinal
                                  Studies  . . . . . . . . . . . . . . . . 971--982
               Xiaoke Zhang and   
             Byeong U. Park and   
                 Jane-ling Wang   Time-Varying Additive Models for
                                  Longitudinal Data  . . . . . . . . . . . 983--998
            P. Richard Hahn and   
         Carlos M. Carvalho and   
                Sayan Mukherjee   Partial Factor Modeling:
                                  Predictor-Dependent Shrinkage for Linear
                                  Regression . . . . . . . . . . . . . . . 999--1008
                Xiaolei Xun and   
                  Jiguo Cao and   
               Bani Mallick and   
                Arnab Maity and   
             Raymond J. Carroll   Parameter Estimation of Partial
                                  Differential Equation Models . . . . . . 1009--1020
   Stéphane Guerrier and   
                Jan Skaloud and   
            Yannick Stebler and   
       Maria-Pia Victoria-Feser   Wavelet-Variance-Based Estimation for
                                  Composite Stochastic Processes . . . . . 1021--1030
            Cheryl J. Flynn and   
        Clifford M. Hurvich and   
            Jeffrey S. Simonoff   Efficiency for Regularization Parameter
                                  Selection in Penalized Likelihood
                                  Estimation of Misspecified Models  . . . 1031--1043
               Yingying Fan and   
                      Jinchi Lv   Asymptotic Equivalence of Regularization
                                  Methods in Thresholded Parameter Space   1044--1061
           Huixia Judy Wang and   
                      Deyuan Li   Estimation of Extreme Conditional
                                  Quantiles Through Power Transformation   1062--1074
          Antonio F. Galvao and   
            Carlos Lamarche and   
               Luiz Renato Lima   Estimation of Censored Quantile
                                  Regression for Panel Data With Fixed
                                  Effects  . . . . . . . . . . . . . . . . 1075--1089
                 Yanyuan Ma and   
                Mijeong Kim and   
                 Marc G. Genton   Semiparametric Efficient and Robust
                                  Estimation of an Unknown Symmetric
                                  Population Under Arbitrary Sample
                                  Selection Bias . . . . . . . . . . . . . 1090--1104
           Davy Paindaveine and   
              Germain Van Bever   From Depth to Local Depth: A Focus on
                                  Centrality . . . . . . . . . . . . . . . 1105--1119
            Fabrizia Mealli and   
                 Barbara Pacini   Using Secondary Outcomes to Sharpen
                                  Inference in Randomized Experiments With
                                  Noncompliance  . . . . . . . . . . . . . 1120--1131
                      Anonymous   Book Reviews . . . . . . . . . . . . . . 1132--1137
                Ryan Martin and   
                   Chuanhai Liu   Correction . . . . . . . . . . . . . . . 1138--1139

Journal of the American Statistical Association
Volume 108, Number 504, 2013

                 Marie Davidian   The International Year of Statistics: A
                                  Celebration and A Call to Action . . . . 1141--1146
        Blakeley B. McShane and   
            Shane T. Jensen and   
              Allan I. Pack and   
               Abraham J. Wyner   Statistical Learning With Time Series
                                  Dependence: An Application to Scoring
                                  Sleep in Mice  . . . . . . . . . . . . . 1147--1162
                  Kerby Shedden   Comment  . . . . . . . . . . . . . . . . 1162--1163
               Donglin Zeng and   
                   Yuanjia Wang   Comment  . . . . . . . . . . . . . . . . 1164--1164
        Blakeley B. McShane and   
            Shane T. Jensen and   
              Allan I. Pack and   
               Abraham J. Wyner   Rejoinder  . . . . . . . . . . . . . . . 1165--1172
                    Tao Liu and   
            Joseph W. Hogan and   
                  Lisa Wang and   
            Shangxuan Zhang and   
                    Rami Kantor   Optimal Allocation of Gold Standard
                                  Testing Under Constrained Availability:
                                  Application to Assessment of HIV
                                  Treatment Failure  . . . . . . . . . . . 1173--1188
               Takahiro Hoshino   Semiparametric Bayesian Estimation for
                                  Marginal Parametric Potential Outcome
                                  Modeling: Application to Causal
                                  Inference  . . . . . . . . . . . . . . . 1189--1204
              Malka Gorfine and   
                     Li Hsu and   
            Giovanni Parmigiani   Frailty Models for Familial Risk With
                                  Application to Breast Cancer . . . . . . 1205--1215
               Huaihou Chen and   
               Yuanjia Wang and   
          Myunghee Cho Paik and   
                   H. Alex Choi   A Marginal Approach to Reduced-Rank
                                  Penalized Spline Smoothing With
                                  Application to Multilevel Functional
                                  Data . . . . . . . . . . . . . . . . . . 1216--1229
            Shane T. Jensen and   
                 Jared Park and   
    Alexander F. Braunstein and   
                  Jon Mcauliffe   Bayesian Hierarchical Modeling of the
                                  HIV Evolutionary Response to Therapy . . 1230--1242
         Matias D. Cattaneo and   
           Richard K. Crump and   
                Michael Jansson   Generalized Jackknife Estimators of
                                  Weighted Average Derivatives . . . . . . 1243--1256
                   Donglin Zeng   Comment  . . . . . . . . . . . . . . . . 1257--1258
                   Holger Dette   Comment  . . . . . . . . . . . . . . . . 1258--1260
                    Enno Mammen   Comment  . . . . . . . . . . . . . . . . 1260--1262
                  Xiaohong Chen   Comment  . . . . . . . . . . . . . . . . 1262--1264
         Matias D. Cattaneo and   
           Richard K. Crump and   
                Michael Jansson   Rejoinder  . . . . . . . . . . . . . . . 1265--1268
            Aurore Delaigle and   
                     Peter Hall   Classification Using Censored Functional
                                  Data . . . . . . . . . . . . . . . . . . 1269--1283
                   Yehua Li and   
               Naisyin Wang and   
             Raymond J. Carroll   Selecting the Number of Principal
                                  Components in Functional Data  . . . . . 1284--1294
              Jingfei Zhang and   
                     Yuguo Chen   Sampling for Conditional Inference on
                                  Network Data . . . . . . . . . . . . . . 1295--1307
                 Lisha Chen and   
            Winston Wei Dou and   
                    Zhihua Qiao   Ensemble Subsampling for Imbalanced
                                  Multivariate Two-Sample Tests  . . . . . 1308--1323
          Tsuyoshi Kunihama and   
                David B. Dunson   Bayesian Modeling of Temporal Dependence
                                  in Large Sparse Contingency Tables . . . 1324--1338
         Nicholas G. Polson and   
             James G. Scott and   
                   Jesse Windle   Bayesian Inference for Logistic Models
                                  Using Pólya-Gamma Latent Variables  . . . 1339--1349
                  Wentao Li and   
               Zhiqiang Tan and   
                      Rong Chen   Two-Stage Importance Sampling With
                                  Mixture Proposals  . . . . . . . . . . . 1350--1365
                     Jian Zhang   Epistatic Clustering: A Model-Based
                                  Approach for Identifying Links Between
                                  Clusters . . . . . . . . . . . . . . . . 1366--1384
            Sanat K. Sarkar and   
              Jingjing Chen and   
                      Wenge Guo   Multiple Testing in a Two-Stage Adaptive
                                  Design With Combination Tests
                                  Controlling FDR  . . . . . . . . . . . . 1385--1401
                     Luo Lu and   
                  Hui Jiang and   
                   Wing H. Wong   Multivariate Density Estimation by
                                  Bayesian Sequential Partitioning . . . . 1402--1410
                   Min Yang and   
        Stefanie Biedermann and   
                     Elina Tang   On Optimal Designs for Nonlinear Models:
                                  A General and Efficient Algorithm  . . . 1411--1420
             Ming-yen Cheng and   
                   Hau-tieng Wu   Local Linear Regression on Manifolds and
                                  Its Geometric Interpretation . . . . . . 1421--1434
         Shelby J. Haberman and   
                Sandip Sinharay   Generalized Residuals for General Models
                                  for Contingency Tables With Application
                                  to Item Response Theory  . . . . . . . . 1435--1444
                    Bin Zhu and   
                David B. Dunson   Locally Adaptive Bayes Nonparametric
                                  Regression via Nested Gaussian Processes 1445--1456
             Dylan S. Small and   
                 Jing Cheng and   
      M. Elizabeth Halloran and   
              Paul R. Rosenbaum   Case Definition and Design Sensitivity   1457--1468
                  Ying Hung and   
                 Yijie Wang and   
        Veronika Zarnitsyna and   
                  Cheng Zhu and   
                  C. F. Jeff Wu   Hidden Markov Models With Applications
                                  in Cell Adhesion Experiments . . . . . . 1469--1479
           Marina Bogomolov and   
                    Ruth Heller   Discovering Findings That Replicate From
                                  a Primary Study of High Dimension to a
                                  Follow-Up Study  . . . . . . . . . . . . 1480--1492
                          Li Ma   Adaptive Testing of Conditional
                                  Association Through Recursive Mixture
                                  Modeling . . . . . . . . . . . . . . . . 1493--1505
              Young Min Kim and   
        Soumendra N. Lahiri and   
              Daniel J. Nordman   A Progressive Block Empirical Likelihood
                                  Method for Time Series . . . . . . . . . 1506--1516
                Yuanshan Wu and   
                   Guosheng Yin   Cure Rate Quantile Regression for
                                  Censored Data With a Survival Fraction   1517--1531
                 Tianxi Cai and   
                   Yingye Zheng   Resampling Procedures for Making
                                  Inference Under Nested Case-Control
                                  Studies  . . . . . . . . . . . . . . . . 1532--1544
                      Anonymous   Book Reviews . . . . . . . . . . . . . . 1545--1554
                      Anonymous   Editorial Collaborators  . . . . . . . . 1555--1561
                      Anonymous   Editorial Board EOV  . . . . . . . . . . ebi--ebi


Journal of the American Statistical Association
Volume 109, Number 505, 2014

                   Luo Xiao and   
          Sally W. Thurston and   
              David Ruppert and   
           Tanzy M. T. Love and   
             Philip W. Davidson   Bayesian Models for Multiple Outcomes in
                                  Domains With Application to the
                                  Seychelles Child Development Study . . . 1--10
                  Hui Huang and   
                 Xiaomei Ma and   
       Rasmus Waagepetersen and   
        Theodore R. Holford and   
                  Rong Wang and   
               Harvey Risch and   
              Lloyd Mueller and   
                   Yongtao Guan   A New Estimation Approach for Combining
                                  Epidemiological Data From Multiple
                                  Sources  . . . . . . . . . . . . . . . . 11--23
               Marco Carone and   
           Masoud Asgharian and   
             Nicholas P. Jewell   Estimating the Lifetime Risk of Dementia
                                  in the Canadian Elderly Population Using
                                  Cross-Sectional Cohort Survival Data . . 24--35
           Patrick M. Joyce and   
               Donald Malec and   
      Roderick J. A. Little and   
               Aaron Gilary and   
            Alfredo Navarro and   
                 Mark E. Asiala   Statistical Modeling Methodology for the
                                  Voting Rights Act Section 203 Language
                                  Assistance Determinations  . . . . . . . 36--47
                   Liqun Xi and   
           Kristin Brogaard and   
             Qingyang Zhang and   
              Bruce Lindsay and   
             Jonathan Widom and   
                   Ji-Ping Wang   A Locally Convoluted Cluster Model for
                                  Nucleosome Positioning Signals in
                                  Chemical Maps  . . . . . . . . . . . . . 48--62
               Lucas Janson and   
                Bala Rajaratnam   A Methodology for Robust Multiproxy
                                  Paleoclimate Reconstructions and
                                  Modeling of Temperature Conditional
                                  Quantiles  . . . . . . . . . . . . . . . 63--77
                Naim Rashid and   
                    Wei Sun and   
              Joseph G. Ibrahim   Some Statistical Strategies for DAE-seq
                                  Data Analysis: Variable Selection and
                                  Modeling Dependencies Among Observations 78--94
      Corwin Matthew Zigler and   
             Francesca Dominici   Uncertainty in Propensity Score
                                  Estimation: Bayesian Methods for
                                  Variable Selection and Model-Averaged
                                  Causal Effects . . . . . . . . . . . . . 95--107
                  Ziyue Liu and   
            Anne R. Cappola and   
         Leslie J. Crofford and   
                   Wensheng Guo   Modeling Bivariate Longitudinal Hormone
                                  Profiles by Hierarchical State Space
                                  Models . . . . . . . . . . . . . . . . . 108--118
               Yinshan Zhao and   
             David K. B. Li and   
             A. John Petkau and   
          Andrew Riddehough and   
             Anthony Traboulsee   Detection of Unusual Increases in MRI
                                  Lesion Counts in Individual Multiple
                                  Sclerosis Patients . . . . . . . . . . . 119--132
              Ben B. Hansen and   
          Paul R. Rosenbaum and   
                 Dylan S. Small   Clustered Treatment Assignments and
                                  Sensitivity to Unmeasured Biases in
                                  Observational Studies  . . . . . . . . . 133--144
          Genevera I. Allen and   
            Logan Grosenick and   
                Jonathan Taylor   A Generalized Least-Square Matrix
                                  Decomposition  . . . . . . . . . . . . . 145--159
    François Portier and   
                 Bernard Delyon   Bootstrap Testing of the Rank of a
                                  Matrix via Least-Squared Constrained
                                  Estimation . . . . . . . . . . . . . . . 160--172
        Nicolas J-B. Brunel and   
            Quentin Clairon and   
    Florence d'Alché-Buc   Parametric Estimation of Ordinary
                                  Differential Equations With
                                  Orthogonality Conditions . . . . . . . . 173--185
                     Alan Huang   Joint Estimation of the Mean and Error
                                  Distribution in Generalized Linear
                                  Models . . . . . . . . . . . . . . . . . 186--196
          Christina D. Wang and   
                 Per A. Mykland   The Estimation of Leverage Effect With
                                  High-Frequency Data  . . . . . . . . . . 197--215
              Eun Ryung Lee and   
                 Hohsuk Noh and   
                 Byeong U. Park   Model Selection via Bayesian Information
                                  Criterion for Quantile Regression Models 216--229
                  Ruosha Li and   
                   Yu Cheng and   
                  Jason P. Fine   Quantile Association Regression Models   230--242
             Ching-Kang Ing and   
                  Chiao-Yi Yang   Predictor Selection for Positive
                                  Autoregressive Processes . . . . . . . . 243--253
              Tomohiro Ando and   
                    Ker-Chau Li   A Model-Averaging Approach for
                                  High-Dimensional Regression  . . . . . . 254--265
               Jingyuan Liu and   
                   Runze Li and   
                    Rongling Wu   Feature Selection for Varying
                                  Coefficient Models With
                                  Ultrahigh-Dimensional Covariates . . . . 266--274
                   Fang Han and   
                        Han Liu   Scale-Invariant Sparse PCA on
                                  High-Dimensional Meta-Elliptical Data    275--287
                    Lan Liu and   
             Michael G. Hudgens   Large Sample Randomization Inference of
                                  Causal Effects in the Presence of
                                  Interference . . . . . . . . . . . . . . 288--301
              A. C. Davison and   
            D. A. S. Fraser and   
                    N. Reid and   
                     N. Sartori   Accurate Directional Inference for
                                  Vector Parameters in Linear Exponential
                                  Families . . . . . . . . . . . . . . . . 302--314
     Simon Barthelmé and   
                 Nicolas Chopin   Expectation Propagation for
                                  Likelihood-Free Inference  . . . . . . . 315--333
          David S. Matteson and   
              Nicholas A. James   A Nonparametric Approach for Multiple
                                  Change Point Analysis of Multivariate
                                  Data . . . . . . . . . . . . . . . . . . 334--345
                   Gery Geenens   Probit Transformation for Kernel Density
                                  Estimation on the Unit Interval  . . . . 346--358
             Kenji Fukumizu and   
                   Chenlei Leng   Gradient-Based Kernel Dimension
                                  Reduction for Regression . . . . . . . . 359--370
               Donglin Zeng and   
                      D. Y. Lin   Efficient Estimation of Semiparametric
                                  Transformation Models for Two-Phase
                                  Cohort Studies . . . . . . . . . . . . . 371--383
               Layla Parast and   
                    Lu Tian and   
                     Tianxi Cai   Landmark Estimation of Survival and
                                  Treatment Effect in a Randomized
                                  Clinical Trial . . . . . . . . . . . . . 384--394
           Bruce G. Lindsay and   
         Marianthi Markatou and   
                    Surajit Ray   Kernels, Degrees of Freedom, and Power
                                  Properties of Quadratic Distance
                                  Goodness-of-Fit Tests  . . . . . . . . . 395--410
            Gerda Claeskens and   
                 Mia Hubert and   
                Leen Slaets and   
                   Kaveh Vakili   Multivariate Functional Halfspace Depth  411--423
        Victor M. Panaretos and   
                  Tung Pham and   
                    Zhigang Yao   Principal Flows  . . . . . . . . . . . . 424--436
            Suprateek Kundu and   
                David B. Dunson   Bayes Variable Selection in
                                  Semiparametric Linear Models . . . . . . 437--447
                      Anonymous   Book Reviews . . . . . . . . . . . . . . 448--454

Journal of the American Statistical Association
Volume 109, Number 506, 2014

              Yongling Xiao and   
        Michal Abrahamowicz and   
         Erica E. M. Moodie and   
               Rainer Weber and   
                    James Young   Flexible Marginal Structural Models for
                                  Estimating the Cumulative Effect of a
                                  Time-Dependent Treatment on the Hazard:
                                  Reassessing the Cardiovascular Risks of
                                  Didanosine Treatment in the Swiss HIV
                                  Cohort Study . . . . . . . . . . . . . . 455--464
            Eduardo S. Ayra and   
    David Ríos Insua and   
                    Javier Cano   To Fuel or Not to Fuel? Is that the
                                  Question?  . . . . . . . . . . . . . . . 465--476
Isadora Antoniano-Villalobos and   
                  Sara Wade and   
              Stephen G. Walker   A Bayesian Nonparametric Regression
                                  Model With Normalized Weights: A Study
                                  of Hippocampal Atrophy in Alzheimer's
                                  Disease  . . . . . . . . . . . . . . . . 477--490
         Daniel M. Percival and   
         Donald B. Percival and   
            Donald W. Denbo and   
                Edison Gica and   
              Paul Y. Huang and   
          Harold O. Mofjeld and   
            Michael C. Spillane   Automated Tsunami Source Modeling Using
                                  the Sweeping Window Positive Elastic Net 491--499
           Carl Schmertmann and   
             Emilio Zagheni and   
        Joshua R. Goldstein and   
            Mikko Myrskylä   Bayesian Forecasting of Cohort Fertility 500--513
                 Dandan Liu and   
               Yingye Zheng and   
           Ross L. Prentice and   
                         Li Hsu   Estimating Risk With Time-to-Event Data:
                                  An Application to the Women's Health
                                  Initiative . . . . . . . . . . . . . . . 514--524
               Ick Hoon Jin and   
                   Suyu Liu and   
             Peter F. Thall and   
                      Ying Yuan   Using Data Augmentation to Facilitate
                                  Conduct of Phase I--II Clinical Trials
                                  With Delayed Outcomes  . . . . . . . . . 525--536
                Haim Y. Bar and   
             James G. Booth and   
                Martin T. Wells   A Bivariate Model for Simultaneous
                                  Testing in Bioinformatics Data . . . . . 537--547
                 Xiaosun Lu and   
               J. S. Marron and   
                  Perry Haaland   Object-Oriented Data Analysis of Cell
                                  Images . . . . . . . . . . . . . . . . . 548--559
                   Kun Chen and   
              Kung-Sik Chan and   
             Nils Chr. Stenseth   Source--Sink Reconstruction Through
                                  Regularized Multicomponent Regression
                                  Analysis-With Application to Assessing
                                  Whether North Sea Cod Larvae Contributed
                                  to Local Fjord Cod in Skagerrak  . . . . 560--573
            L. A. Stefanski and   
                  Yichao Wu and   
                     Kyle White   Variable Selection in Nonparametric
                                  Classification Via Measurement Error
                                  Model Selection Likelihoods  . . . . . . 574--589
             Ngai Hang Chan and   
               Chun Yip Yau and   
                 Rong-Mao Zhang   Group LASSO for Structural Break Time
                                  Series . . . . . . . . . . . . . . . . . 590--599
              Guangming Pan and   
                   Jiti Gao and   
                   Yanrong Yang   Testing Independence Among a Large
                                  Number of High-Dimensional Random
                                  Vectors  . . . . . . . . . . . . . . . . 600--612
              Giorgos Minas and   
           John A. D. Aston and   
                 Nigel Stallard   Adaptive Multivariate Global Testing . . 613--623
                       Jing Lei   Adaptive Global Testing for Functional
                                  Linear Models  . . . . . . . . . . . . . 624--634
                     Xu Liu and   
              Hongmei Jiang and   
                      Yong Zhou   Local Empirical Likelihood Inference for
                                  Varying-Coefficient Density-Ratio Models
                                  Based on Case-Control Data . . . . . . . 635--646
               Bruno Scarpa and   
                David B. Dunson   Enriched Stick-Breaking Processes for
                                  Functional Data  . . . . . . . . . . . . 647--660
             Shuzhuan Zheng and   
                Lijian Yang and   
        Wolfgang K. Härdle   A Smooth Simultaneous Confidence
                                  Corridor for the Mean of Sparse
                                  Functional Data  . . . . . . . . . . . . 661--673
              Roger Koenker and   
                    Ivan Mizera   Convex Optimization, Shape Constraints,
                                  Compound Decisions, and Empirical Bayes
                                  Rules  . . . . . . . . . . . . . . . . . 674--685
                   Hua Zhou and   
                      Yichao Wu   A Generic Path Algorithm for Regularized
                                  Statistical Estimation . . . . . . . . . 686--699
                   Hulin Wu and   
                     Tao Lu and   
                 Hongqi Xue and   
                      Hua Liang   Sparse Additive Ordinary Differential
                                  Equations for Dynamic Gene Regulatory
                                  Network Modeling . . . . . . . . . . . . 700--716
            Aurore Delaigle and   
                     Peter Hall   Parametrically Assisted Nonparametric
                                  Estimation of a Density in the
                                  Deconvolution Problem  . . . . . . . . . 717--729
        Forrest W. Crawford and   
          Vladimir N. Minin and   
                Marc A. Suchard   Estimation for General Birth--Death
                                  Processes  . . . . . . . . . . . . . . . 730--747
            Marco Di Marzio and   
             Agnese Panzera and   
              Charles C. Taylor   Nonparametric Regression for Spherical
                                  Data . . . . . . . . . . . . . . . . . . 748--763
         Miguel de Carvalho and   
             Anthony C. Davison   Spectral Density Ratio Models for
                                  Multivariate Extremes  . . . . . . . . . 764--776
                  Chao Wang and   
                   Heng Liu and   
              Jian-Feng Yao and   
           Richard A. Davis and   
                   Wai Keung Li   Self-Excited Threshold Poisson
                                  Autoregression . . . . . . . . . . . . . 777--787
                 Zongwu Cai and   
                      Xian Wang   Selection of Mixed Copula Model via
                                  Penalized Likelihood . . . . . . . . . . 788--801
              Antonio Lijoi and   
                Bernardo Nipoti   A Class of Hazard Rate Mixtures for
                                  Combining Survival Data From Different
                                  Experiments  . . . . . . . . . . . . . . 802--814
             R. Dennis Cook and   
                      Xin Zhang   Fused Estimators of the Central Subspace
                                  in Sufficient Dimension Reduction  . . . 815--827
    Veronika Rocková and   
               Edward I. George   EMVS: The EM Approach to Bayesian
                                  Variable Selection . . . . . . . . . . . 828--846
               Faming Liang and   
               Yichen Cheng and   
                      Guang Lin   Simulated Stochastic Approximation
                                  Annealing for Global Optimization With a
                                  Square-Root Cooling Schedule . . . . . . 847--863
                      Anonymous   Book Reviews . . . . . . . . . . . . . . 864--870
                    L. Chen and   
                  W. W. Dou and   
                        Z. Qiao   ``Ensemble Subsampling for Imbalanced
                                  Multivariate Two-Sample Tests,'' Chen,
                                  L., Dou, W. W., and Qiao, Z. (2013), \em
                                  Journal of the American Statistical
                                  Association, \bf 108, 1308--1323 . . . . 871--871

Journal of the American Statistical Association
Volume 109, Number 507, 2014

         Kassandra Fronczyk and   
              Athanasios Kottas   A Bayesian Nonparametric Modeling
                                  Framework for Developmental Toxicity
                                  Studies  . . . . . . . . . . . . . . . . 873--888
          Peter Müller and   
              Fernando Quintana   Comment  . . . . . . . . . . . . . . . . 889--889
                David B. Dunson   Comment  . . . . . . . . . . . . . . . . 890--891
         Kassandra Fronczyk and   
              Athanasios Kottas   Rejoinder  . . . . . . . . . . . . . . . 891--893
         Matthew W. Wheeler and   
            David B. Dunson and   
          Sudha P. Pandalai and   
             Brent A. Baker and   
                 Amy H. Herring   Mechanistic Hierarchical Gaussian
                                  Processes  . . . . . . . . . . . . . . . 894--904
                 Yuan Jiang and   
                      Ni Li and   
                   Heping Zhang   Identifying Genetic Variants for
                                  Addiction via Propensity Score Adjusted
                                  Generalized Kendall's Tau  . . . . . . . 905--930
             Peter F. Thall and   
            Hoang Q. Nguyen and   
                Sarah Zohar and   
                   Pierre Maton   Optimizing Sedative Dose in Preterm
                                  Infants Undergoing Treatment for
                                  Respiratory Distress Syndrome  . . . . . 931--943
                Radu Herbei and   
               L. Mark Berliner   Estimating Ocean Circulation: An MCMC
                                  Approach With Approximated Likelihoods
                                  via the Bernoulli Factory  . . . . . . . 944--954
    Celine Marielle Laffont and   
     Marc Vandemeulebroecke and   
               Didier Concordet   Multivariate Analysis of Longitudinal
                                  Ordinal Data With Mixed Effects Models,
                                  With Application to Clinical Outcomes in
                                  Osteoarthritis . . . . . . . . . . . . . 955--966
           Michael E. Sobel and   
            Martin A. Lindquist   Causal Inference for fMRI Time Series
                                  Data With Systematic Errors of
                                  Measurement in a Balanced On/Off Study
                                  of Social Evaluative Threat  . . . . . . 967--976
                 Hongtu Zhu and   
           Zakaria Khondker and   
                 Zhaohua Lu and   
              Joseph G. Ibrahim   Bayesian Generalized Low Rank Regression
                                  Models for Neuroimaging Phenotypes and
                                  Genetic Markers  . . . . . . . . . . . . 977--990
                  Bradley Efron   Estimation and Accuracy After Model
                                  Selection  . . . . . . . . . . . . . . . 991--1007
                   Lan Wang and   
               Ben Sherwood and   
                       Runze Li   Comment  . . . . . . . . . . . . . . . . 1007--1010
            Dimitris N. Politis   Comment  . . . . . . . . . . . . . . . . 1010--1013
                Shuva Gupta and   
                   S. N. Lahiri   Comment  . . . . . . . . . . . . . . . . 1013--1015
              Andrew Gelman and   
                    Aki Vehtari   Comment  . . . . . . . . . . . . . . . . 1015--1016
                 Nils Lid Hjort   Comment  . . . . . . . . . . . . . . . . 1017--1020
                  Bradley Efron   Rejoinder  . . . . . . . . . . . . . . . 1021--1022
                    Ke Deng and   
                 Simeng Han and   
                 Kate J. Li and   
                     Jun S. Liu   Bayesian Aggregation of Order-Based Rank
                                  Data . . . . . . . . . . . . . . . . . . 1023--1039
           Andrew J. Womack and   
    Luis León-Novelo and   
                 George Casella   Inference From Intrinsic Bayes'
                                  Procedures Under Model Selection and
                                  Uncertainty  . . . . . . . . . . . . . . 1040--1053
                T. Tony Cai and   
                   Mark Low and   
                    Zongming Ma   Adaptive Confidence Bands for
                                  Nonparametric Regression Functions . . . 1054--1070
                Marc Hallin and   
           Davy Paindaveine and   
               Thomas Verdebout   Efficient $R$-Estimation of Principal
                                  and Common Principal Components  . . . . 1071--1083
                 Hongtu Zhu and   
               Jianqing Fan and   
                  Linglong Kong   Spatially Varying Coefficient Model for
                                  Neuroimaging Data With Jump
                                  Discontinuities  . . . . . . . . . . . . 1084--1098
           Valentin Patilea and   
                Hamdi Ra\"\issi   Testing Second-Order Dynamics for
                                  Autoregressive Processes in Presence of
                                  Time-Varying Variance  . . . . . . . . . 1099--1111
              Andrew Harvey and   
               Alessandra Luati   Filtering With Heavy Tails . . . . . . . 1112--1122
                    Bo Wang and   
                  Jian Qing Shi   Generalized Gaussian Process Regression
                                  Model for Non-Gaussian Functional Data   1123--1133
              Yong-Dao Zhou and   
                    Hongquan Xu   Space-Filling Fractional Factorial
                                  Designs  . . . . . . . . . . . . . . . . 1134--1144
              Paul R. Rosenbaum   Weighted $M$-statistics With Superior
                                  Design Sensitivity in Matched
                                  Observational Studies With Multiple
                                  Controls . . . . . . . . . . . . . . . . 1145--1158
                    Peisong Han   Multiply Robust Estimation in Regression
                                  Analysis With Missing Data . . . . . . . 1159--1173
                Tianle Chen and   
               Yuanjia Wang and   
               Huaihou Chen and   
               Karen Marder and   
                   Donglin Zeng   Targeted Local Support Vector Machine
                                  for Age-Dependent Classification . . . . 1174--1187
                    Bing Li and   
                Hyonho Chun and   
                    Hongyu Zhao   On an Additive Semigraphoid Model for
                                  Statistical Networks With Application to
                                  Pathway Analysis . . . . . . . . . . . . 1188--1204
                   Yehua Li and   
                   Yongtao Guan   Functional Principal Component Analysis
                                  of Spatiotemporal Point Processes With
                                  Applications in Disease Surveillance . . 1205--1215
          Michael Rosenblum and   
                    Han Liu and   
                     En-Hsu Yen   Optimal Tests of Treatment Effects for
                                  the Overall Population and Two
                                  Subpopulations in Randomized Trials,
                                  Using Sparse Linear Programming  . . . . 1216--1228
                   Shan Luo and   
                     Zehua Chen   Sequential Lasso Cum EBIC for Feature
                                  Selection With Ultra-High Dimensional
                                  Feature Space  . . . . . . . . . . . . . 1229--1240
              Alexander Aue and   
           Rex C. Y. Cheung and   
           Thomas C. M. Lee and   
                     Ming Zhong   Segmented Model Selection in Quantile
                                  Regression Using the Minimum Description
                                  Length Principle . . . . . . . . . . . . 1241--1256
                    Chen Xu and   
                    Jiahua Chen   The Sparse MLE for Ultrahigh-Dimensional
                                  Feature Screening  . . . . . . . . . . . 1257--1269
               Jianqing Fan and   
                  Yunbei Ma and   
                        Wei Dai   Nonparametric Independence Screening in
                                  Sparse Ultra-High-Dimensional Varying
                                  Coefficient Models . . . . . . . . . . . 1270--1284
                   Ning Hao and   
                Hao Helen Zhang   Interaction Screening for
                                  Ultrahigh-Dimensional Data . . . . . . . 1285--1301
              Xiaofeng Shao and   
                   Jingsi Zhang   Martingale Difference Correlation and
                                  Its Use in High-Dimensional Variable
                                  Screening  . . . . . . . . . . . . . . . 1302--1318
               Holger Dette and   
              Ria Van Hecke and   
            Stanislav Volgushev   Some Comments on Copula-Based Regression 1319--1324
                      Anonymous   Book Reviews . . . . . . . . . . . . . . 1325--1337

Journal of the American Statistical Association
Volume 109, Number 508, 2014

      Michael R. Wierzbicki and   
                Li-Bing Guo and   
                Qing-Tao Du and   
                   Wensheng Guo   Sparse Semiparametric Nonlinear Model
                                  With Application to Chromatographic
                                  Fingerprints . . . . . . . . . . . . . . 1339--1349
                        Pang Du   Comment  . . . . . . . . . . . . . . . . 1349--1350
               Huaihou Chen and   
                   Donglin Zeng   Comment  . . . . . . . . . . . . . . . . 1350--1353
      Michael R. Wierzbicki and   
                Li-Bing Guo and   
                Qing-Tao Du and   
                   Wensheng Guo   Rejoinder  . . . . . . . . . . . . . . . 1353--1354
               Yoonsuh Jung and   
           Jianhua Z. Huang and   
                     Jianhua Hu   Biomarker Detection in Association
                                  Studies: Modeling SNPs Simultaneously
                                  via Logistic ANOVA . . . . . . . . . . . 1355--1367
         Jonathan R. Stroud and   
            Michael S. Johannes   Bayesian Modeling and Forecasting of $
                                  24$-Hour High-Frequency Volatility . . . 1368--1384
        Dimitris Rizopoulos and   
          Laura A. Hatfield and   
          Bradley P. Carlin and   
       Johanna J. M. Takkenberg   Combining Dynamic Predictions From Joint
                                  Models for Longitudinal and
                                  Time-to-Event Data Using Bayesian Model
                                  Averaging  . . . . . . . . . . . . . . . 1385--1397
               Marian Farah and   
               Paul Birrell and   
              Stefano Conti and   
             Daniela De Angelis   Bayesian Emulation and Calibration of a
                                  Dynamic Epidemic Model for A/H1N1
                                  Influenza  . . . . . . . . . . . . . . . 1398--1411
                  Hui Huang and   
                   Yehua Li and   
                   Yongtao Guan   Joint Modeling and Clustering Paired
                                  Generalized Longitudinal Trajectories
                                  With Application to Cocaine Abuse
                                  Treatment Data . . . . . . . . . . . . . 1412--1424
         Jonathan E. Gellar and   
       Elizabeth Colantuoni and   
            Dale M. Needham and   
         Ciprian M. Crainiceanu   Variable-Domain Functional Regression
                                  for Modeling ICU Data  . . . . . . . . . 1425--1439
           Daniel J. Graham and   
              Emma J. McCoy and   
              David A. Stephens   Quantifying Causal Effects of Road
                                  Network Capacity Expansions on Traffic
                                  Volume and Density via a Mixed Model
                                  Propensity Score Estimator . . . . . . . 1440--1449
                Dungang Liu and   
              Regina Y. Liu and   
                     Min-ge Xie   Exact Meta-Analysis Approach for
                                  Discrete Data and its Application to $ 2
                                  \times 2 $ Tables With Rare Events . . . 1450--1465
         Edoardo M. Airoldi and   
               Thiago Costa and   
          Federico Bassetti and   
            Fabrizio Leisen and   
               Michele Guindani   Generalized Species Sampling Priors With
                                  Latent Beta Reinforcements . . . . . . . 1466--1480
                  Kelvin Gu and   
               Debdeep Pati and   
                David B. Dunson   Bayesian Multiscale Modeling of Closed
                                  Curves in Point Clouds . . . . . . . . . 1481--1494
                      Qing Zhou   Monte Carlo Simulation for Lasso-Type
                                  Problems by Estimator Augmentation . . . 1495--1516
                    Lu Tian and   
            Ash A. Alizadeh and   
          Andrew J. Gentles and   
              Robert Tibshirani   A Simple Method for Estimating
                                  Interactions Between a Treatment and a
                                  Large Number of Covariates . . . . . . . 1517--1532
                   Y. J. Hu and   
                  D. Y. Lin and   
                     W. Sun and   
                        D. Zeng   A Likelihood-Based Framework for
                                  Association Analysis of Allele-Specific
                                  Copy Numbers . . . . . . . . . . . . . . 1533--1545
                    Zudi Lu and   
           Dag Tjòstheim   Nonparametric Estimation of Probability
                                  Density Functions for Irregularly
                                  Observed Spatial Data  . . . . . . . . . 1546--1564
                Fangpo Wang and   
                Alan E. Gelfand   Modeling Space and Space-Time
                                  Directional Data Using Projected
                                  Gaussian Processes . . . . . . . . . . . 1565--1580
                Matthew Plumlee   Fast Prediction of Deterministic
                                  Functions Using Sparse Grid Experimental
                                  Designs  . . . . . . . . . . . . . . . . 1581--1591
              Bradley Jones and   
                Dibyen Majumdar   Optimal Supersaturated Designs . . . . . 1592--1600
             Alberto Abadie and   
            Guido W. Imbens and   
                   Fanyin Zheng   Inference for Misspecified Models With
                                  Fixed Regressors . . . . . . . . . . . . 1601--1614
          Michael Rosenthal and   
                     Wei Wu and   
               Eric Klassen and   
                Anuj Srivastava   Spherical Regression Models Using
                                  Projective Linear Transformations  . . . 1615--1624
                  Jing Ning and   
                   Jing Qin and   
                        Yu Shen   Score Estimating Equations from Embedded
                                  Likelihood Functions Under Accelerated
                                  Failure Time Model . . . . . . . . . . . 1625--1635
                  Xiao Song and   
                 Ching-Yun Wang   Proportional Hazards Model With
                                  Covariate Measurement Error and
                                  Instrumental Variables . . . . . . . . . 1636--1646
Jenný Brynjarsdóttir and   
               L. Mark Berliner   Dimension-Reduced Modeling of
                                  Spatio-Temporal Processes  . . . . . . . 1647--1659
             Brian Claggett and   
                  Minge Xie and   
                        Lu Tian   Meta-Analysis With Fixed, Unknown,
                                  Study-Specific Parameters  . . . . . . . 1660--1671
                Hongyu Miao and   
                   Hulin Wu and   
                     Hongqi Xue   Generalized Ordinary Differential
                                  Equation Models  . . . . . . . . . . . . 1672--1682
               Yunzhang Zhu and   
              Xiaotong Shen and   
                        Wei Pan   Structural Pursuit Over Multiple
                                  Undirected Graphs  . . . . . . . . . . . 1683--1696
        Markus Frölich and   
                   Martin Huber   Treatment Evaluation With Multiple
                                  Outcome Periods Under Endogeneity and
                                  Attrition  . . . . . . . . . . . . . . . 1697--1711
                      Anonymous   Book Reviews . . . . . . . . . . . . . . 1712--1720
                      Anonymous   Correction . . . . . . . . . . . . . . . 1721--1721
                      Anonymous   Editorial Collaborators  . . . . . . . . 1722--1729
                      Anonymous   Editorial Board EOV  . . . . . . . . . . ebi--ebi


Journal of the American Statistical Association
Volume 110, Number 509, 2015

             Nathaniel Schenker   Why Your Involvement Matters . . . . . . 1--5
               Zhengyi Zhou and   
          David S. Matteson and   
            Dawn B. Woodard and   
         Shane G. Henderson and   
          Athanasios C. Micheas   A Spatio-Temporal Point Process Model
                                  for Ambulance Demand . . . . . . . . . . 6--15
                    Xu Tang and   
                 Fah F. Gan and   
                  Lingyun Zhang   Risk-Adjusted Cumulative Sum Charting
                                  Procedure Based on Multiresponses  . . . 16--26
        Alexander M. Franks and   
 Gábor Csárdi and   
          D. Allan Drummond and   
             Edoardo M. Airoldi   Estimating a Structured Covariance
                                  Matrix From Multilab Measurements in
                                  High-Throughput Biology  . . . . . . . . 27--44
          Antonio R. Linero and   
             Michael J. Daniels   A Flexible Bayesian Approach to Monotone
                                  Missing Data in Longitudinal Studies
                                  With Nonignorable Missingness With
                                  Application to an Acute Schizophrenia
                                  Clinical Trial . . . . . . . . . . . . . 45--55
                Giwhyun Lee and   
                    Yu Ding and   
             Marc G. Genton and   
                         Le Xie   Power Curve Estimation With Multivariate
                                  Environmental Factors for Inland and
                                  Offshore Wind Farms  . . . . . . . . . . 56--67
          Curtis B. Storlie and   
            William A. Lane and   
              Emily M. Ryan and   
          James R. Gattiker and   
                David M. Higdon   Calibration of Computational Models With
                                  Categorical Parameters and Correlated
                                  Outputs via Bayesian Smoothing Spline
                                  ANOVA  . . . . . . . . . . . . . . . . . 68--82
               Kentaro Fukumoto   What Happens Depends on When It Happens:
                                  Copula-Based Ordered Event History
                                  Analysis of Civil War Duration and
                                  Outcome  . . . . . . . . . . . . . . . . 83--92
             Tingting Zhang and   
                 Jingwei Wu and   
                     Fan Li and   
                Brian Caffo and   
             Dana Boatman-Reich   A Dynamic Directional Model for
                                  Effective Brain Connectivity Using
                                  Electrocorticographic (ECoG) Time Series 93--106
              Weibing Huang and   
     Charles-Albert Lehalle and   
              Mathieu Rosenbaum   Simulating and Analyzing Order Book
                                  Data: The Queue-Reactive Model . . . . . 107--122
          Matthew J. Heaton and   
            Stephan R. Sain and   
         Andrew J. Monaghan and   
           Olga V. Wilhelmi and   
                 Mary H. Hayden   An Analysis of an Incomplete Marked
                                  Point Pattern of Heat-Related 911 Calls  123--135
               J. L. Scealy and   
         Patrice de Caritat and   
            Eric C. Grunsky and   
         Michail T. Tsagris and   
                    A. H. Welsh   Robust Principal Component Analysis for
                                  Power Transformed Compositional Data . . 136--148
               Jianqing Fan and   
                   Xin Tong and   
                       Yao Zeng   Multi-Agent Inference in Social
                                  Networks: A Finite Population Learning
                                  Approach . . . . . . . . . . . . . . . . 149--158
         Christine Peterson and   
        Francesco C. Stingo and   
                Marina Vannucci   Bayesian Inference of Multiple Gaussian
                                  Graphical Models . . . . . . . . . . . . 159--174
             Zheng Tracy Ke and   
               Jianqing Fan and   
                      Yichao Wu   Homogeneity Pursuit  . . . . . . . . . . 175--194
             D. L. Borchers and   
            B. C. Stevenson and   
                  D. Kidney and   
                  L. Thomas and   
                  T. A. Marques   A Unifying Model for Capture-Recapture
                                  and Distance Sampling Surveys of
                                  Wildlife Populations . . . . . . . . . . 195--204
              Paul R. Rosenbaum   Bahadur Efficiency of Sensitivity
                                  Analyses in Observational Studies  . . . 205--217
                Marc Hallin and   
                  Chintan Mehta   $R$-Estimation for Asymmetric
                                  Independent Component Analysis . . . . . 218--232
              Linglong Kong and   
               Douglas P. Wiens   Model-Robust Designs for Quantile
                                  Regression . . . . . . . . . . . . . . . 233--245
                 Guodong Li and   
                    Yang Li and   
                 Chih-Ling Tsai   Quantile Correlations and Quantile
                                  Autoregressive Modeling  . . . . . . . . 246--261
          Francis K. C. Hui and   
            David I. Warton and   
                Scott D. Foster   Tuning Parameter Selection for the
                                  Adaptive Lasso Using ERIC  . . . . . . . 262--269
                    Wei Lin and   
                   Rui Feng and   
                     Hongzhe Li   Regularization Methods for
                                  High-Dimensional Instrumental Variables
                                  Regression With an Application to
                                  Genetical Genomics . . . . . . . . . . . 270--288
                  Qiang Sun and   
                 Hongtu Zhu and   
                 Yufeng Liu and   
              Joseph G. Ibrahim   SPReM: Sparse Projection Regression
                                  Model For High-Dimensional Linear
                                  Regression . . . . . . . . . . . . . . . 289--302
                  Juan Shen and   
                      Xuming He   Inference for Subgroup Analysis With a
                                  Structured Logistic-Normal Mixture Model 303--312
                     Eben Kenah   Semiparametric Relative-Risk Regression
                                  for Infectious Disease Transmission Data 313--325
                Dungang Liu and   
              Regina Y. Liu and   
                      Minge Xie   Multivariate Meta-Analysis of
                                  Heterogeneous Studies Using Only Summary
                                  Statistics: Efficiency and Robustness    326--340
                  Shujie Ma and   
               Peter X.-K. Song   Varying Index Coefficient Models . . . . 341--356
                 Jianhua Hu and   
               Hongjian Zhu and   
                     Feifang Hu   A Unified Family of Covariate-Adjusted
                                  Response-Adaptive Designs Based on
                                  Efficiency and Ethics  . . . . . . . . . 357--367
                  Jiejun Du and   
              Ian L. Dryden and   
                Xianzheng Huang   Size and Shape Analysis of Error-Prone
                                  Shape Data . . . . . . . . . . . . . . . 368--379
              Alexander Aue and   
       Diogo Dubart Norinho and   
         Siegfried Hörmann   On the Prediction of Stationary
                                  Functional Time Series . . . . . . . . . 378--392
            Jessica Minnier and   
                  Ming Yuan and   
                 Jun S. Liu and   
                     Tianxi Cai   Risk Classification With an Adaptive
                                  Naive Bayes Kernel Machine Model . . . . 393--404
                Nadja Klein and   
               Thomas Kneib and   
                    Stefan Lang   Bayesian Generalized Additive Models for
                                  Location, Scale, and Shape for
                                  Zero-Inflated and Overdispersed Count
                                  Data . . . . . . . . . . . . . . . . . . 405--419
             Efstathia Bura and   
                Liliana Forzani   Sufficient Reductions in Regressions
                                  With Elliptically Contoured Inverse
                                  Predictors . . . . . . . . . . . . . . . 420--434
            P. Richard Hahn and   
             Carlos M. Carvalho   Decoupling Shrinkage and Selection in
                                  Bayesian Linear Models: A Posterior
                                  Summary Perspective  . . . . . . . . . . 435--448
                      Anonymous   Book Reviews . . . . . . . . . . . . . . 449--456
        Stephen E. Fienberg and   
            James S. Hodges and   
                     Liying Luo   Letter To the Editor . . . . . . . . . . 457--457
             Y. Claire Yang and   
                Kenneth C. Land   Reply  . . . . . . . . . . . . . . . . . 457--457
                 Wenjiang J. Fu   Reply  . . . . . . . . . . . . . . . . . 458--458

Journal of the American Statistical Association
Volume 110, Number 510, 2015

             James G. Scott and   
              Ryan C. Kelly and   
           Matthew A. Smith and   
             Pengcheng Zhou and   
                 Robert E. Kass   False Discovery Rate Regression: An
                                  Application to Neural Synchrony
                                  Detection in Primary Visual Cortex . . . 459--471
             Xiangrong Kong and   
             Mei-Cheng Wang and   
                    Ronald Gray   Analysis of Longitudinal Multivariate
                                  Outcome Data From Couples Cohort
                                  Studies: Application to HPV Transmission
                                  Dynamics . . . . . . . . . . . . . . . . 472--485
                     Jie Li and   
                  Yili Hong and   
                  Ram Thapa and   
             Harold E. Burkhart   Survival Analysis of Loblolly Pine Trees
                                  With Spatially Correlated Random Effects 486--502
                  Yanxun Xu and   
          Peter Müller and   
                  Yuan Yuan and   
         Kamalakar Gulukota and   
                        Yuan Ji   MAD Bayes for Tumor
                                  Heterogeneity-Feature Allocation With
                                  Exponential Family Sampling  . . . . . . 503--514
         Samuel D. Pimentel and   
             Rachel R. Kelz and   
          Jeffrey H. Silber and   
              Paul R. Rosenbaum   Large, Sparse Optimal Matching With
                                  Refined Covariate Balance in an
                                  Observational Study of the Health
                                  Outcomes Produced by New Surgeons  . . . 515--527
                    Hui Yao and   
                Sungduk Kim and   
              Ming-Hui Chen and   
          Joseph G. Ibrahim and   
             Arvind K. Shah and   
                    Jianxin Lin   Bayesian Inference for Multivariate
                                  Meta-Regression With a Partially
                                  Observed Within-Study Sample Covariance
                                  Matrix . . . . . . . . . . . . . . . . . 528--544
        P. Z. Hadjipantelis and   
             J. A. D. Aston and   
          H. G. Müller and   
                    J. P. Evans   Unifying Amplitude and Phase Analysis: A
                                  Compositional Data Approach to
                                  Functional Multivariate Mixed-Effects
                                  Modeling of Mandarin Chinese . . . . . . 545--559
                    Ran Tao and   
               Donglin Zeng and   
          Nora Franceschini and   
              Kari E. North and   
            Eric Boerwinkle and   
                     Dan-Yu Lin   Analysis of Sequence Data Under
                                  Multivariate Trait-Dependent Sampling    560--572
          Bradley J. Barney and   
             Federica Amici and   
             Filippo Aureli and   
                 Josep Call and   
               Valen E. Johnson   Joint Bayesian Modeling of Binomial and
                                  Rank Data for Primate Cognition  . . . . 573--582
               Ying-Qi Zhao and   
               Donglin Zeng and   
              Eric B. Laber and   
             Michael R. Kosorok   New Statistical Learning Methods for
                                  Estimating Optimal Dynamic Treatment
                                  Regimes  . . . . . . . . . . . . . . . . 583--598
             R. Dennis Cook and   
                      Xin Zhang   Foundations for Envelope Models and
                                  Methods  . . . . . . . . . . . . . . . . 599--611
                  C. F. Jeff Wu   Post-Fisherian Experimentation: From
                                  Physical to Virtual  . . . . . . . . . . 612--620
               Sy Han Chiou and   
              Sangwook Kang and   
                        Jun Yan   Semiparametric Accelerated Failure Time
                                  Modeling for Clustered Failure Times
                                  From Stratified Sampling . . . . . . . . 621--629
               Hengjian Cui and   
                   Runze Li and   
                      Wei Zhong   Model-Free Feature Screening for
                                  Ultrahigh Dimensional Discriminant
                                  Analysis . . . . . . . . . . . . . . . . 630--641
                   Bo Jiang and   
                    Chao Ye and   
                     Jun S. Liu   Nonparametric $K$-Sample Tests via
                                  Dynamic Slicing  . . . . . . . . . . . . 642--653
              Philip Preuss and   
         Ruprecht Puchstein and   
                   Holger Dette   Detection of Multiple Structural Breaks
                                  in Multivariate Time Series  . . . . . . 654--668
                     Wei Ma and   
                 Feifang Hu and   
                    Lixin Zhang   Testing Hypotheses of Covariate-Adaptive
                                  Randomized Clinical Trials . . . . . . . 669--680
                Grace Y. Yi and   
                 Yanyuan Ma and   
           Donna Spiegelman and   
             Raymond J. Carroll   Functional and Structural Methods With
                                  Mixed Measurement Error and
                                  Misclassification in Covariates  . . . . 681--696
       Catalina A. Vallejos and   
               Mark F. J. Steel   Objective Bayesian Survival Analysis
                                  Using Shape Mixtures of Log-Normal
                                  Distributions  . . . . . . . . . . . . . 697--710
                  Juhee Lee and   
             Peter F. Thall and   
                    Yuan Ji and   
              Peter Müller   Bayesian Dose-Finding in Two Treatment
                                  Cycles Based on the Joint Utility of
                                  Efficacy and Toxicity  . . . . . . . . . 711--722
               Xuerong Chen and   
             Alan T. K. Wan and   
                      Yong Zhou   Efficient Quantile Regression Analysis
                                  With Missing Observations  . . . . . . . 723--741
      Nikolaos Sgouropoulos and   
                  Qiwei Yao and   
              Claudia Yastremiz   Matching a Distribution by Matching
                                  Quantiles Estimation . . . . . . . . . . 742--759
            Randy C. S. Lai and   
                 Jan Hannig and   
               Thomas C. M. Lee   Generalized Fiducial Inference
                                  for~Ultrahigh-Dimensional Regression . . 760--772
                Kuangyu Wen and   
                      Ximing Wu   An Improved Transformation-Based Kernel
                                  Estimator of Densities on the Unit
                                  Interval . . . . . . . . . . . . . . . . 773--783
                     Ke Zhu and   
                   Shiqing Ling   LADE-Based Inference for ARMA Models
                                  With Unspecified and Heavy-Tailed
                                  Heteroscedastic Noises . . . . . . . . . 784--794
                          Li Ma   Scalable Bayesian Model Averaging
                                  Through Local Information Propagation    795--809
                    Harry Crane   Clustering from Categorical Data
                                  Sequences  . . . . . . . . . . . . . . . 810--823
            Peter Radchenko and   
               Xinghao Qiao and   
                Gareth M. James   Index Models for Sparsely Sampled
                                  Functional Data  . . . . . . . . . . . . 824--836
         Karl Bruce Gregory and   
         Raymond J. Carroll and   
Veerabhadran Baladandayuthapani and   
            Soumendra N. Lahiri   A Two-Sample Test for Equality of Means
                                  in High Dimension  . . . . . . . . . . . 837--849
               Yunxiao Chen and   
               Jingchen Liu and   
                 Gongjun Xu and   
                  Zhiliang Ying   Statistical Analysis of $Q$-Matrix Based
                                  Diagnostic Classification Models . . . . 850--866
                Shaoting Li and   
                Jiahua Chen and   
                Jianhua Guo and   
               Bing-Yi Jing and   
            Shui-Ying Tsang and   
                       Hong Xue   Likelihood Ratio Test for Multi-Sample
                                  Mixture Model and Its Application to
                                  Genetic Imprinting . . . . . . . . . . . 867--877
                      Anonymous   Book Reviews . . . . . . . . . . . . . . 878--888

Journal of the American Statistical Association
Volume 110, Number 511, 2015

         Mariel M. Finucane and   
    Christopher J. Paciorek and   
        Gretchen A. Stevens and   
                   Majid Ezzati   Semiparametric Bayesian Density
                                  Estimation With Disparate Data Sources:
                                  A Meta-Analysis of Global Childhood
                                  Undernutrition . . . . . . . . . . . . . 889--901
       Christopher K. Wikle and   
                 Scott H. Holan   Comment  . . . . . . . . . . . . . . . . 901--903
                     Jim Hodges   Comment  . . . . . . . . . . . . . . . . 903--905
         Mariel M. Finucane and   
    Christopher J. Paciorek and   
        Gretchen A. Stevens and   
                   Majid Ezzati   Rejoinder  . . . . . . . . . . . . . . . 906--909
     José R. Zubizarreta   Stable Weights that Balance Covariates
                                  for Estimation With Incomplete Outcome
                                  Data . . . . . . . . . . . . . . . . . . 910--922
            Beom Seuk Hwang and   
                      Zhen Chen   An Integrated Bayesian Nonparametric
                                  Approach for Stochastic and Variability
                                  Orders in ROC Curve Estimation: An
                                  Application to Endometriosis Diagnosis   923--934
            Charles Hokayem and   
      Christopher Bollinger and   
                James P. Ziliak   The Role of CPS Nonresponse in the
                                  Measurement of Poverty . . . . . . . . . 935--945
                 Chao Huang and   
              Martin Styner and   
                     Hongtu Zhu   Clustering High-Dimensional
                                  Landmark-Based Two-Dimensional Shape
                                  Data . . . . . . . . . . . . . . . . . . 946--961
                 Yi-Juan Hu and   
                    Wei Sun and   
            Jung-Ying Tzeng and   
               Charles M. Perou   Proper Use of Allele-Specific Expression
                                  Improves Statistical Power for \em
                                  cis-eQTL Mapping with RNA-Seq Data . . . 962--974
                    Wei Sun and   
                 Yufeng Liu and   
           James J. Crowley and   
             Ting-Huei Chen and   
                   Hua Zhou and   
                 Haitao Chu and   
             Shunping Huang and   
               Pei-Fen Kuan and   
                    Yuan Li and   
               Darla Miller and   
                Ginger Shaw and   
                  Yichao Wu and   
          Vasyl Zhabotynsky and   
           Leonard McMillan and   
                    Fei Zou and   
        Patrick F. Sullivan and   
Fernando Pardo-Manuel De Villena   IsoDOT Detects Differential RNA-Isoform
                                  Expression/Usage With Respect to a
                                  Categorical or Continuous Covariate With
                                  High Sensitivity and Specificity . . . . 975--986
                Hang J. Kim and   
            Lawrence H. Cox and   
               Alan F. Karr and   
           Jerome P. Reiter and   
                    Quanli Wang   Simultaneous Edit-Imputation for
                                  Continuous Microdata . . . . . . . . . . 987--999
               Li-Chu Chien and   
                Yuh-Jenn Wu and   
             Chao A. Hsiung and   
                Lu-Hai Wang and   
                   I-Shou Chang   Smoothed Lexis Diagrams With
                                  Applications to Lung and Breast Cancer
                                  Trends in Taiwan . . . . . . . . . . . . 1000--1012
                Kosuke Imai and   
                  Marc Ratkovic   Robust Estimation of Inverse Probability
                                  Weights for Marginal Structural Models   1013--1023
            Karel Vermeulen and   
             Stijn Vansteelandt   Bias-Reduced Doubly Robust Estimation    1024--1036
        Alexander Volfovsky and   
                  Peter D. Hoff   Testing for Nodal Dependence in
                                  Relational Data Matrices . . . . . . . . 1037--1046
          Bailey K. Fosdick and   
                  Peter D. Hoff   Testing and Modeling Dependencies
                                  Between a Network and Nodal Attributes   1047--1056
            Laura Azzimonti and   
          Laura M. Sangalli and   
          Piercesare Secchi and   
           Maurizio Domanin and   
                   Fabio Nobile   Blood Flow Velocity Field Estimation Via
                                  Spatial Regression With PDE Penalization 1057--1071
                   C. Villa and   
                   S. G. Walker   An Objective Approach to Prior Mass
                                  Functions for Discrete Parameter Spaces  1072--1082
               Tianhao Wang and   
                    Yingcun Xia   Whittle Likelihood Estimation of
                                  Nonlinear Autoregressive Models With
                                  Moving Average Residuals . . . . . . . . 1083--1099
            Graciela Boente and   
 Matías Salibian-Barrera   $S$-Estimators for Functional Principal
                                  Component Analysis . . . . . . . . . . . 1100--1111
                   Jian Zhu and   
      Trivellore E. Raghunathan   Convergence Properties of a Sequential
                                  Regression Multiple Imputation Algorithm 1112--1124
               Hua Yun Chen and   
            Daniel E. Rader and   
                     Mingyao Li   Likelihood Inferences on Semiparametric
                                  Odds Ratio Model . . . . . . . . . . . . 1125--1135
               Jiming Jiang and   
               Thuan Nguyen and   
                   J. Sunil Rao   The E-MS Algorithm: Model Selection With
                                  Incomplete Data  . . . . . . . . . . . . 1136--1147
                   Deng Pan and   
                  Haijin He and   
               Xinyuan Song and   
                    Liuquan Sun   Regression Analysis of Additive Hazards
                                  Model With Latent Variables  . . . . . . 1148--1159
                  Yumou Qiu and   
                   Song Xi Chen   Bandwidth Selection for High-Dimensional
                                  Covariance Matrix Estimation . . . . . . 1160--1174
               Chun Yip Yau and   
             Chong Man Tang and   
               Thomas C. M. Lee   Estimation of Multiple-Regime Threshold
                                  Autoregressive Models With Structural
                                  Breaks . . . . . . . . . . . . . . . . . 1175--1186
               Hongyuan Cao and   
          Mathew M. Churpek and   
               Donglin Zeng and   
                  Jason P. Fine   Analysis of the Proportional Hazards
                                  Model With Sparse Longitudinal
                                  Covariates . . . . . . . . . . . . . . . 1187--1196
              Claudia Kirch and   
               Birte Muhsal and   
                 Hernando Ombao   Detection of Changes in Multivariate
                                  Time Series With Application to EEG Data 1197--1216
               David Azriel and   
              Armin Schwartzman   The Empirical Distribution of a Large
                                  Number of Correlated Normal Variables    1217--1228
              Xanthi Pedeli and   
         Anthony C. Davison and   
          Konstantinos Fokianos   Likelihood Estimation for the INAR($p$)
                                  Model by Saddlepoint Approximation . . . 1229--1238
               Lo-Bin Chang and   
                   Donald Geman   Tracking Cross-Validated Estimates of
                                  Prediction Error as Studies Accumulate   1239--1247
               Faming Liang and   
                 Qifan Song and   
                     Peihua Qiu   An Equivalent Measure of Partial
                                  Correlation Coefficients for
                                  High-Dimensional Gaussian Graphical
                                  Models . . . . . . . . . . . . . . . . . 1248--1265
                 Kehui Chen and   
                       Jing Lei   Localized Functional Principal Component
                                  Analysis . . . . . . . . . . . . . . . . 1266--1275
                Jan De Neve and   
                   Olivier Thas   A Regression Framework for Rank Tests
                                  Based on the Probabilistic Index Model   1276--1283
             Tucker McElroy and   
                  Brian Monsell   Model Estimation, Prediction, and Signal
                                  Extraction for Nonstationary Stock and
                                  Flow Time Series Observed at Mixed
                                  Frequencies  . . . . . . . . . . . . . . 1284--1303
               Graeme Blair and   
                Kosuke Imai and   
                 Yang-Yang Zhou   Design and Analysis of the Randomized
                                  Response Technique . . . . . . . . . . . 1304--1319
                      Anonymous   Book Reviews . . . . . . . . . . . . . . 1320--1323

Journal of the American Statistical Association
Volume 110, Number 512, 2015

              David Morganstein   Statistics: Making Better Decisions  . . 1325--1330
          Joshua D. Angrist and   
                Miikka Rokkanen   Wanna Get Away? Regression Discontinuity
                                  Estimation of Exam School Effects Away
                                  From the Cutoff  . . . . . . . . . . . . 1331--1344
             Michael G. Hudgens   Comment  . . . . . . . . . . . . . . . . 1345--1347
                 Thomas Lemieux   Comment  . . . . . . . . . . . . . . . . 1347--1348
          Joshua D. Angrist and   
                Miikka Rokkanen   Rejoinder  . . . . . . . . . . . . . . . 1348--1349
                   Bo Jiang and   
                     Jun S. Liu   Bayesian Partition Models for
                                  Identifying Expression Quantitative
                                  Trait Loci . . . . . . . . . . . . . . . 1350--1361
            Liangliang Wang and   
Alexandre Bouchard-Côté and   
                  Arnaud Doucet   Bayesian Phylogenetic Inference Using a
                                  Combinatorial Sequential Monte Carlo
                                  Method . . . . . . . . . . . . . . . . . 1362--1374
                 Jian Zhang and   
                          Li Su   Temporal Autocorrelation-Based
                                  Beamforming With MEG Neuroimaging Data   1375--1388
              Paul R. Rosenbaum   Some Counterclaims Undermine Themselves
                                  in Observational Studies . . . . . . . . 1389--1398
               G. O. Mohler and   
                M. B. Short and   
            Sean Malinowski and   
               Mark Johnson and   
                 G. E. Tita and   
         Andrea L. Bertozzi and   
              P. J. Brantingham   Randomized Controlled Field Trials of
                                  Predictive Policing  . . . . . . . . . . 1399--1411
           Kari Lock Morgan and   
                Donald B. Rubin   Rerandomization to Balance Tiers of
                                  Covariates . . . . . . . . . . . . . . . 1412--1421
            Ian W. McKeague and   
                       Min Qian   An Adaptive Resampling Test for
                                  Detecting the Presence of Significant
                                  Predictors . . . . . . . . . . . . . . . 1422--1433
              A. Chatterjee and   
                   S. N. Lahiri   Comment  . . . . . . . . . . . . . . . . 1434--1438
              Rajen D. Shah and   
            Richard J. Samworth   Comment  . . . . . . . . . . . . . . . . 1439--1442
                 Emre Barut and   
               Huixia Judy Wang   Comment  . . . . . . . . . . . . . . . . 1442--1445
          Lawrence D. Brown and   
                Daniel McCarthy   Comment  . . . . . . . . . . . . . . . . 1446--1449
          Alexandre Belloni and   
            Victor Chernozhukov   Comment  . . . . . . . . . . . . . . . . 1449--1451
                Yichi Zhang and   
                  Eric B. Laber   Comment  . . . . . . . . . . . . . . . . 1451--1454
                     Sai Li and   
               Ritwik Mitra and   
                  Cun-Hui Zhang   Comment  . . . . . . . . . . . . . . . . 1455--1456
                    Hannes Leeb   Comment  . . . . . . . . . . . . . . . . 1457--1459
            Ian W. McKeague and   
                       Min Qian   Rejoinder  . . . . . . . . . . . . . . . 1459--1462
          Stephen S. M. Lee and   
                Mehdi Soleymani   A Simple Formula for Mixing Estimators
                                  With Different Convergence Rates . . . . 1463--1478
       Anirban Bhattacharya and   
               Debdeep Pati and   
           Natesh S. Pillai and   
                David B. Dunson   Dirichlet--Laplace Priors for Optimal
                                  Shrinkage  . . . . . . . . . . . . . . . 1479--1490
                   Weizhen Wang   Exact Optimal Confidence Intervals for
                                  Hypergeometric Parameters  . . . . . . . 1491--1499
        Rajarshi Guhaniyogi and   
                David B. Dunson   Bayesian Compressed Regression . . . . . 1500--1514
                 Zifang Guo and   
                   Lexin Li and   
                  Wenbin Lu and   
                        Bing Li   Groupwise Dimension Reduction via
                                  Envelope Method  . . . . . . . . . . . . 1515--1527
          Antonio F. Galvao and   
                     Liang Wang   Uniformly Semiparametric Efficient
                                  Estimation of Treatment Effects With a
                                  Continuous Treatment . . . . . . . . . . 1528--1542
             J. Marcus Jobe and   
               Michael Pokojovy   A Cluster-Based Outlier Detection Scheme
                                  for Multivariate Data  . . . . . . . . . 1543--1551
                    Ryan Martin   Plausibility Functions and Exact
                                  Frequentist Inference  . . . . . . . . . 1552--1561
                  Jing Zhou and   
       Anirban Bhattacharya and   
             Amy H. Herring and   
                David B. Dunson   Bayesian Factorizations of Big Sparse
                                  Tensors  . . . . . . . . . . . . . . . . 1562--1576
                 Jiwei Zhao and   
                       Jun Shao   Semiparametric Pseudo-Likelihoods in
                                  Generalized Linear Models With
                                  Nonignorable Missing Data  . . . . . . . 1577--1590
          Laurent E. Calvet and   
           Veronika Czellar and   
              Elvezio Ronchetti   Robust Filtering . . . . . . . . . . . . 1591--1606
                 Qifan Song and   
                   Faming Liang   High-Dimensional Variable Selection With
                                  Reciprocal $ L_1 $-Regularization  . . . 1607--1620
                Ryan Martin and   
                   Chuanhai Liu   Marginal Inferential Models: Prior-Free
                                  Probabilistic Inference on Interest
                                  Parameters . . . . . . . . . . . . . . . 1621--1631
          Hiroyuki Kasahara and   
               Katsumi Shimotsu   Testing the Number of Components in
                                  Normal Mixture Regression Models . . . . 1632--1645
           Daniel K. Sewell and   
                     Yuguo Chen   Latent Space Models for Dynamic Networks 1646--1657
                   Lan Wang and   
                    Bo Peng and   
                       Runze Li   A High-Dimensional Nonparametric
                                  Multivariate Test for Mean Vector  . . . 1658--1669
                Yuanshan Wu and   
                 Yanyuan Ma and   
                   Guosheng Yin   Smoothed and Corrected Score Approach to
                                  Censored Quantile Regression With
                                  Measurement Errors . . . . . . . . . . . 1670--1683
         Tyler H. McCormick and   
                     Tian Zheng   Latent Surface Models for Networks Using
                                  Aggregated Relational Data . . . . . . . 1684--1695
                     Jin Xu and   
                Jiajie Chen and   
               Peter Z. G. Qian   Sequentially Refined Latin Hypercube
                                  Designs: Reusing Every Point . . . . . . 1696--1706
                 Noah Simon and   
              Robert Tibshirani   A Permutation Approach to Testing
                                  Interactions for Binary Response by
                                  Comparing Correlations Between Classes   1707--1716
               Wenxin Jiang and   
                        Yu Zhao   On Asymptotic Distributions and
                                  Confidence Intervals for LIFT Measures
                                  in Data Mining . . . . . . . . . . . . . 1717--1725
                Xueqin Wang and   
               Wenliang Pan and   
                  Wenhao Hu and   
                  Yuan Tian and   
                   Heping Zhang   Conditional Distance Correlation . . . . 1726--1734
         Gauri Sankar Datta and   
                Abhyuday Mandal   Small Area Estimation With Uncertain
                                  Random Effects . . . . . . . . . . . . . 1735--1744
            Brigham R. Frandsen   Treatment Effects With Censoring and
                                  Endogeneity  . . . . . . . . . . . . . . 1745--1752
         Sebastian Calonico and   
         Matias D. Cattaneo and   
          Rocío Titiunik   Optimal Data-Driven Regression
                                  Discontinuity Plots  . . . . . . . . . . 1753--1769
                Ruoqing Zhu and   
               Donglin Zeng and   
             Michael R. Kosorok   Reinforcement Learning Trees . . . . . . 1770--1784
            Aurore Delaigle and   
                   Wen-Xin Zhou   Nonparametric and Parametric Estimators
                                  of Prevalence From Group Testing Data
                                  With Aggregated Covariates . . . . . . . 1785--1796
                  Xiaofeng Shao   Self-Normalization for Time Series: A
                                  Review of Recent Developments  . . . . . 1797--1817
                      Anonymous   Book Reviews . . . . . . . . . . . . . . 1818--1824
                      Anonymous   Editorial Collaborators  . . . . . . . . 1825--1831
                      Anonymous   Editorial Board EOV  . . . . . . . . . . ebi--ebi


Journal of the American Statistical Association
Volume 111, Number 513, 2016

               Ci-Ren Jiang and   
           John A. D. Aston and   
                 Jane-Ling Wang   A Functional Approach to Deconvolve
                                  Dynamic Neuroimaging Data  . . . . . . . 1--13
            P. Richard Hahn and   
            Jared S. Murray and   
            Ioanna Manolopoulou   A Bayesian Partial Identification
                                  Approach to Inferring the Prevalence of
                                  Accounting Misconduct  . . . . . . . . . 14--26
               Zhiguang Huo and   
                  Ying Ding and   
                 Silvia Liu and   
         Steffi Oesterreich and   
                   George Tseng   Meta-Analytic Framework for Sparse
                                  $K$-Means to Identify Disease Subtypes
                                  in Multiple Transcriptomic Studies . . . 27--42
           Mehdi Maadooliat and   
                   Lan Zhou and   
       Seyed Morteza Najibi and   
                    Xin Gao and   
               Jianhua Z. Huang   Collective Estimation of Multiple
                                  Bivariate Density Functions With
                                  Application to Angular-Sampling-Based
                                  Protein Loop Modeling  . . . . . . . . . 43--56
                  Won Chang and   
               Murali Haran and   
          Patrick Applegate and   
                  David Pollard   Calibrating an Ice Sheet Model Using
                                  High-Dimensional Binary Spatial Data . . 57--72
               Lisa M. Pham and   
              Luis Carvalho and   
               Scott Schaus and   
               Eric D. Kolaczyk   Perturbation Detection Through Modeling
                                  of Gene Expression on a Latent
                                  Biological Pathway Network: A Bayesian
                                  Hierarchical Approach  . . . . . . . . . 73--92
       Matthew R. Schofield and   
          Richard J. Barker and   
              Andrew Gelman and   
             Edward R. Cook and   
                Keith R. Briffa   A Model-Based Approach to Climate
                                  Reconstruction Using Tree-Ring Data  . . 93--106
        Nilanjan Chatterjee and   
                Yi-Hau Chen and   
                 Paige Maas and   
             Raymond J. Carroll   Constrained Maximum Likelihood
                                  Estimation for Model Calibration Using
                                  Summary-Level Information From External
                                  Big Data Sources . . . . . . . . . . . . 107--117
                Peisong Han and   
              Jerald F. Lawless   Comment  . . . . . . . . . . . . . . . . 118--121
          Sebastien Haneuse and   
                 Claudia Rivera   Comment  . . . . . . . . . . . . . . . . 121--122
            Thomas A. Louis and   
                  Niels Keiding   Comment  . . . . . . . . . . . . . . . . 123--124
            Joel A. Mefford and   
            Noah A. Zaitlen and   
                  John S. Witte   Comment: A Human Genetics Perspective    124--127
            Chirag J. Patel and   
             Francesca Dominici   Comment: Addressing the Need for
                                  Portability in Big Data Model Building
                                  and Calibration  . . . . . . . . . . . . 127--129
        Nilanjan Chatterjee and   
                Yi-Hau Chen and   
                 Paige Maas and   
             Raymond J. Carroll   Rejoinder  . . . . . . . . . . . . . . . 130--131
             Hyunseung Kang and   
                 Anru Zhang and   
                T. Tony Cai and   
                 Dylan S. Small   Instrumental Variables Estimation With
                                  Some Invalid Instruments and its
                                  Application to Mendelian Randomization   132--144
                Xiaoyan Sun and   
                 Limin Peng and   
               Yijian Huang and   
                HuiChuan J. Lai   Generalizing Quantile Regression for
                                  Counting Processes With Applications to
                                  Recurrent Events . . . . . . . . . . . . 145--156
                  Peng Ding and   
            Tirthankar Dasgupta   A Potential Tale of Two-by-Two Tables
                                  From Completely Randomized Experiments   157--168
                    Rui Pan and   
              Hansheng Wang and   
                       Runze Li   Ultrahigh-Dimensional Multiclass Linear
                                  Discriminant Analysis by Pairwise Sure
                                  Independence Screening . . . . . . . . . 169--179
                    Wenjiang Fu   Constrained Estimators and Consistency
                                  of a Regression Model on a Lexis Diagram 180--199
        Michalis K. Titsias and   
      Christopher C. Holmes and   
                Christopher Yau   Statistical Inference in Hidden Markov
                                  Models Using $k$-Segment Constraints . . 200--215
       Francesco Bartolucci and   
               Monia Lupparelli   Pairwise Likelihood Inference for Nested
                                  Hidden Markov Chain Models for
                                  Multilevel Longitudinal Data . . . . . . 216--228
                T. Tony Cai and   
                    Weidong Liu   Large-Scale Multiple Testing of
                                  Correlations . . . . . . . . . . . . . . 229--240
               Yunzhang Zhu and   
              Xiaotong Shen and   
                   Changqing Ye   Personalized Prediction and Sparsity
                                  Pursuit in Latent Factor Models  . . . . 241--252
                T. Tony Cai and   
                      Ming Yuan   Minimax and Adaptive Estimation of
                                  Covariance Operator for Random Variables
                                  Observed on a Lattice Graph  . . . . . . 253--265
              Xingdong Feng and   
                     Liping Zhu   Estimation and Testing of Varying
                                  Coefficients in Quantile Regression  . . 266--274
               Jianqing Fan and   
                  Yang Feng and   
            Jiancheng Jiang and   
                       Xin Tong   Feature Augmentation via Nonparametrics
                                  and Selection (FANS) in High-Dimensional
                                  Classification . . . . . . . . . . . . . 275--287
                Jianhua Guo and   
               Jianchang Hu and   
               Bing-Yi Jing and   
                     Zhen Zhang   Spline-Lasso in High-Dimensional Linear
                                  Regression . . . . . . . . . . . . . . . 288--297
                  Wentao Li and   
                  Rong Chen and   
                   Zhiqiang Tan   Efficient Sequential Monte Carlo With
                                  Multiple Proposals and Control Variates  298--313
                    Chao Du and   
        Chu-Lan Michael Kao and   
                      S. C. Kou   Stepwise Signal Extraction via Marginal
                                  Likelihood . . . . . . . . . . . . . . . 314--330
            Jacopo Mandozzi and   
            Peter Bühlmann   Hierarchical Testing in the
                                  High-Dimensional Setting With Correlated
                                  Variables  . . . . . . . . . . . . . . . 331--343
                   Ying Wei and   
                Xiaoyu Song and   
               Mengling Liu and   
        Iuliana Ionita-Laza and   
                   Joan Reibman   Quantile Regression in the Secondary
                                  Analysis of Case-Control Data  . . . . . 344--354
                 Yuan Jiang and   
                 Yunxiao He and   
                   Heping Zhang   Variable Selection With Prior
                                  Information for Generalized Linear
                                  Models via the Prior LASSO Method  . . . 355--376
               Faming Liang and   
               Ick Hoon Jin and   
                 Qifan Song and   
                     Jun S. Liu   An Adaptive Exchange Algorithm for
                                  Sampling From Distributions With
                                  Intractable Normalizing Constants  . . . 377--393
               Mengjie Chen and   
                   Zhao Ren and   
                Hongyu Zhao and   
                  Harrison Zhou   Asymptotically Normal and Efficient
                                  Estimation of Covariate-Adjusted
                                  Gaussian Graphical Model . . . . . . . . 394--406
           Matthew Reimherr and   
                    Dan Nicolae   Estimating Variance Components in
                                  Functional Linear Models With
                                  Applications to Genetic Heritability . . 407--422
                    Zeng-Hua Lu   Extended MaxT Tests of One-Sided
                                  Hypotheses . . . . . . . . . . . . . . . 423--437
                      Anonymous   Book Reviews . . . . . . . . . . . . . . 438--445

Journal of the American Statistical Association
Volume 111, Number 514, 2016

           Colin B. Fogarty and   
          Mark E. Mikkelsen and   
           David F. Gaieski and   
                 Dylan S. Small   Discrete Optimization for Interpretable
                                  Study Populations and Randomization
                                  Inference in an Observational Study of
                                  Severe Sepsis Mortality  . . . . . . . . 447
                    Bo Zhou and   
           David E. Moorman and   
                Sam Behseta and   
             Hernando Ombao and   
                 Babak Shahbaba   A Dynamic Bayesian Model for
                                  Characterizing Cross-Neuronal
                                  Interactions During Decision-Making  . . 459
        Jonathan R. Bradley and   
       Christopher K. Wikle and   
                 Scott H. Holan   Bayesian Spatial Change of Support for
                                  Count-Valued Survey Data With
                                  Application to the American Community
                                  Survey . . . . . . . . . . . . . . . . . 472
            Angela Noufaily and   
           Paddy Farrington and   
            Paul Garthwaite and   
            Doyo Gragn Enki and   
               Nick Andrews and   
                 Andre Charlett   Detection of Infectious Disease
                                  Outbreaks From Laboratory Data With
                                  Reporting Delays . . . . . . . . . . . . 488
            Matthew Plumlee and   
           V. Roshan Joseph and   
                       Hui Yang   Calibrating Functional Parameters in the
                                  Ion Channel Models of Cardiac Cells  . . 500
           Laura Forastiere and   
            Fabrizia Mealli and   
           Tyler J. VanderWeele   Identification and Estimation of Causal
                                  Mechanisms in Clustered Encouragement
                                  Designs: Disentangling Bed Nets Using
                                  Bayesian Principal Stratification  . . . 510
Damião Nóbrega Da Silva and   
              Chris Skinner and   
                  Jae Kwang Kim   Using Binary Paradata to Correct for
                                  Measurement Error in Survey Data
                                  Analysis . . . . . . . . . . . . . . . . 526
                    Wei Liu and   
               Zhiwei Zhang and   
         R. Jason Schroeder and   
                  Martin Ho and   
                   Bo Zhang and   
               Cynthia Long and   
                  Hui Zhang and   
                 Telba Z. Irony   Joint Estimation of Treatment and
                                  Placebo Effects in Clinical Trials With
                                  Longitudinal Blinding Assessments  . . . 538
                     Zhe Yu and   
               Raquel Prado and   
         Erin Burke Quinlan and   
           Steven C. Cramer and   
                 Hernando Ombao   Understanding the Impact of Stroke on
                                  Brain Motor Function: A Hierarchical
                                  Bayesian Approach  . . . . . . . . . . . 549
                Eric W. Fox and   
            Martin B. Short and   
     Frederic P. Schoenberg and   
        Kathryn D. Coronges and   
             Andrea L. Bertozzi   Modeling E-mail Networks and Inferring
                                  Leadership Using Self-Exciting Point
                                  Processes  . . . . . . . . . . . . . . . 564
             Daniel Cervone and   
               Alex D'Amour and   
                 Luke Bornn and   
                Kirk Goldsberry   A Multiresolution Stochastic Process
                                  Model for Predicting Basketball
                                  Possession Outcomes  . . . . . . . . . . 585
         Ryan J. Tibshirani and   
            Jonathan Taylor and   
           Richard Lockhart and   
              Robert Tibshirani   Exact Post-Selection Inference for
                                  Sequential Regression Procedures . . . . 600
          Lawrence D. Brown and   
                Kory D. Johnson   Comment  . . . . . . . . . . . . . . . . 614
         Ryan J. Tibshirani and   
            Jonathan Taylor and   
           Richard Lockhart and   
              Robert Tibshirani   Rejoinder  . . . . . . . . . . . . . . . 618
                 Tianxi Cai and   
                T. Tony Cai and   
                     Anru Zhang   Structured Matrix Completion with
                                  Applications to Genomic Data Integration 621
             Chris J. Oates and   
        Theodore Papamarkou and   
                  Mark Girolami   The Controlled Thermodynamic Integral
                                  for Bayesian Model Evidence Evaluation   634
                 Shuyuan He and   
                  Wei Liang and   
               Junshan Shen and   
                     Grace Yang   Empirical Likelihood for Right Censored
                                  Lifetime Data  . . . . . . . . . . . . . 646
                   Yun Yang and   
                David B. Dunson   Bayesian Conditional Tensor
                                  Factorizations for High-Dimensional
                                  Classification . . . . . . . . . . . . . 656
         Michael W. Robbins and   
         Colin M. Gallagher and   
                 Robert B. Lund   A General Regression Changepoint Test
                                  for Time Series Data . . . . . . . . . . 670
                   Ying Yan and   
                    Grace Y. Yi   A Class of Functional Methods for
                                  Error-Contaminated Survival Data Under
                                  Additive Hazards Models with Replicate
                                  Measurements . . . . . . . . . . . . . . 684
            Irina Gaynanova and   
             James G. Booth and   
                Martin T. Wells   Simultaneous Sparse Estimation of
                                  Canonical Vectors in the $ p \geq N $
                                  Setting  . . . . . . . . . . . . . . . . 696
                    Guan Yu and   
                     Yufeng Liu   Sparse Regression Incorporating
                                  Graphical Structure Among Predictors . . 707
                  Long Feng and   
             Changliang Zou and   
                   Zhaojun Wang   Multivariate-Sign-Based High-Dimensional
                                  Tests for the Two-Sample Location
                                  Problem  . . . . . . . . . . . . . . . . 721
                   Jin Tang and   
                   Yehua Li and   
                   Yongtao Guan   Generalized Quasi-Likelihood Ratio Tests
                                  for Semiparametric Analysis of
                                  Covariance Models in Longitudinal Data   736
                 Pete Bunch and   
                  Simon Godsill   Approximations of the Optimal Importance
                                  Density Using Gaussian Particle Flow
                                  Importance Sampling  . . . . . . . . . . 748
                 Yiyuan She and   
                  Shijie Li and   
                      Dapeng Wu   Robust Orthogonal Complement Principal
                                  Component Analysis . . . . . . . . . . . 763
                  Lin Zhang and   
Veerabhadran Baladandayuthapani and   
               Hongxiao Zhu and   
          Keith A. Baggerly and   
           Tadeusz Majewski and   
         Bogdan A. Czerniak and   
              Jeffrey S. Morris   Functional CAR Models for Large
                                  Spatially Correlated Functional Datasets 772
            Chiung-Yu Huang and   
                   Jing Qin and   
                 Huei-Ting Tsai   Efficient Estimation of the Cox Model
                                  with Auxiliary Subgroup Survival
                                  Information  . . . . . . . . . . . . . . 787
              Abhirup Datta and   
           Sudipto Banerjee and   
           Andrew O. Finley and   
                Alan E. Gelfand   Hierarchical Nearest-Neighbor Gaussian
                                  Process Models for Large Geostatistical
                                  Datasets . . . . . . . . . . . . . . . . 800
                    Zhou Yu and   
               Yuexiao Dong and   
                    Li-Xing Zhu   Trace Pursuit: A General Framework for
                                  Model-Free Variable Selection  . . . . . 813
              F. Jay Breidt and   
            Jean D. Opsomer and   
         Ismael Sanchez-Borrego   Nonparametric Variance Estimation Under
                                  Fine Stratification: An Alternative to
                                  Collapsed Strata . . . . . . . . . . . . 822
                 Jacob Bien and   
           Florentina Bunea and   
                       Luo Xiao   Convex Banding of the Covariance Matrix  834
               Aaron Fisher and   
                Brian Caffo and   
             Brian Schwartz and   
               Vadim Zipunnikov   Fast, Exact Bootstrap Principal
                                  Component Analysis for $ p > 1 $ Million  846
              Baojiang Chen and   
                 Pengfei Li and   
                   Jing Qin and   
                         Tao Yu   Using a Monotonic Density Ratio Model to
                                  Find the Asymptotically Optimal
                                  Combination of Multiple Diagnostic Tests 861
          Stanislav Minsker and   
               Ying-Qi Zhao and   
                    Guang Cheng   Active Clinical Trials for Personalized
                                  Medicine . . . . . . . . . . . . . . . . 875
               Emilio Porcu and   
          Moreno Bevilacqua and   
                 Marc G. Genton   Spatio-Temporal Covariance and
                                  Cross-Covariance Functions of the Great
                                  Circle Distance on a Sphere  . . . . . . 888
                 Peter Goos and   
              Bradley Jones and   
                 Utami Syafitri   $I$-Optimal Design of Mixture
                                  Experiments  . . . . . . . . . . . . . . 899--911
                      Anonymous   Book Reviews . . . . . . . . . . . . . . 912--919

Journal of the American Statistical Association
Volume 111, Number 515, 2016

                  Yanxun Xu and   
          Peter Müller and   
             Abdus S. Wahed and   
                 Peter F. Thall   Bayesian Nonparametric Estimation for
                                  Dynamic Treatment Regimes With
                                  Sequential Transition Times  . . . . . . 921--950
                  Qian Guan and   
              Eric B. Laber and   
                 Brian J. Reich   Comment  . . . . . . . . . . . . . . . . 936--942
             Jingxiang Chen and   
                 Yufeng Liu and   
               Donglin Zeng and   
                   Rui Song and   
                Yingqi Zhao and   
             Michael R. Kosorok   Comment  . . . . . . . . . . . . . . . . 942--947
             Lorenzo Trippa and   
            Giovanni Parmigiani   Comment  . . . . . . . . . . . . . . . . 947--948
                  Yanxun Xu and   
          Peter Müller and   
             Abdus S. Wahed and   
                    Peter Thall   Rejoinder  . . . . . . . . . . . . . . . 948--950
                  Yang Chen and   
                 Kuang Shen and   
                Shu-Ou Shan and   
                      S. C. Kou   Analyzing Single-Molecule Protein
                                  Transportation Experiments via
                                  Hierarchical Hidden Markov Models  . . . 951--966
       Alexander W. Blocker and   
             Edoardo M. Airoldi   Template-Based Models for Genome-Wide
                                  Analysis of Next-Generation Sequencing
                                  Data at Base-Pair Resolution . . . . . . 967--987
        Margaret E. Roberts and   
         Brandon M. Stewart and   
             Edoardo M. Airoldi   A Model of Text for Experimentation in
                                  the Social Sciences  . . . . . . . . . . 988--1003
               Sung Won Han and   
                  Gong Chen and   
            Myun-Seok Cheon and   
                      Hua Zhong   Estimation of Directed Acyclic Graphs
                                  Through Two-Stage Adaptive Lasso for
                                  Gene Network Inference . . . . . . . . . 1004--1019
            Shahin Tavakoli and   
            Victor M. Panaretos   Detecting and Localizing Differences in
                                  Functional Time Series Dynamics: A Case
                                  Study in Molecular Biophysics  . . . . . 1020--1035
         Tyler H. McCormick and   
          Zehang Richard Li and   
              Clara Calvert and   
          Amelia C. Crampin and   
              Kathleen Kahn and   
                Samuel J. Clark   Probabilistic Cause-of-Death Assignment
                                  Using Verbal Autopsies . . . . . . . . . 1036--1049
                   Chen Yue and   
           Vadim Zipunnikov and   
         Pierre-Louis Bazin and   
                 Dzung Pham and   
               Daniel Reich and   
        Ciprian Crainiceanu and   
                    Brian Caffo   Parameterization of White Matter
                                  Manifold-Like Structures Using Principal
                                  Surfaces . . . . . . . . . . . . . . . . 1050--1060
               Fiona Steele and   
        Elizabeth Washbrook and   
       Christopher Charlton and   
              William J. Browne   A Longitudinal Mixed Logit Model for
                                  Estimation of Push and Pull Effects in
                                  Residential Location Choice  . . . . . . 1061--1074
                 Kyu Ha Lee and   
         Francesca Dominici and   
             Deborah Schrag and   
              Sebastien Haneuse   Hierarchical Models for Semicompeting
                                  Risks Data With Application to Quality
                                  of End-of-Life Care for Pancreatic
                                  Cancer . . . . . . . . . . . . . . . . . 1075--1095
            Peter J. Diggle and   
                Emanuele Giorgi   Model-Based Geostatistics for Prevalence
                                  Mapping in Low-Resource Settings . . . . 1096--1120
              Leonhard Held and   
                  Stefanie Muff   Comment  . . . . . . . . . . . . . . . . 1108--1110
                   Paula Moraga   Comment  . . . . . . . . . . . . . . . . 1110--1111
              Jon Wakefield and   
             Daniel Simpson and   
                 Jessica Godwin   Comment: Getting into Space with a
                                  Weight Problem . . . . . . . . . . . . . 1111--1118
            Peter J. Diggle and   
                Emanuele Giorgi   Rejoinder  . . . . . . . . . . . . . . . 1119--1120
         Daniel Peña and   
                Victor J. Yohai   Generalized Dynamic Principal Components 1121--1131
              Ritabrata Das and   
         Moulinath Banerjee and   
                    Bin Nan and   
                  Huiyong Zheng   Fast Estimation of Regression Parameters
                                  in a Broken-Stick Model for Longitudinal
                                  Data . . . . . . . . . . . . . . . . . . 1132--1143
              Mingyuan Zhou and   
Oscar Hernan Madrid Padilla and   
                 James G. Scott   Priors for Random Count Matrices Derived
                                  from a Family of Negative Binomial
                                  Processes  . . . . . . . . . . . . . . . 1144--1156
         Samuel D. Pimentel and   
             Dylan S. Small and   
              Paul R. Rosenbaum   Constructed Second Control Groups and
                                  Attenuation of Unmeasured Biases . . . . 1157--1167
       Fernando A. Quintana and   
          Wesley O. Johnson and   
          L. Elaine Waetjen and   
                  Ellen B. Gold   Bayesian Nonparametric Longitudinal Data
                                  Analysis . . . . . . . . . . . . . . . . 1168--1181
                 Ning Zhang and   
                Daniel W. Apley   Brownian Integrated Covariance Functions
                                  for Gaussian Process Modeling: Sigmoidal
                                  Versus Localized Basis Functions . . . . 1182--1195
                  Ziqi Chen and   
                   Chenlei Leng   Dynamic Covariance Models  . . . . . . . 1196--1207
             Ming-Yen Cheng and   
               Toshio Honda and   
                 Jin-Ting Zhang   Forward Variable Selection for Sparse
                                  Ultra-High Dimensional Varying
                                  Coefficient Models . . . . . . . . . . . 1209--1221
            Srijan Sengupta and   
        Stanislav Volgushev and   
                  Xiaofeng Shao   A Subsampled Double Bootstrap for
                                  Massive Data . . . . . . . . . . . . . . 1222--1232
      Ulrich K. Müller and   
                  Andriy Norets   Coverage Inducing Priors in Nonstandard
                                  Inference Problems . . . . . . . . . . . 1233--1241
                Junhui Wang and   
              Xiaotong Shen and   
                  Yiwen Sun and   
                       Annie Qu   Classification With Unstructured
                                  Predictors and an Application to
                                  Sentiment Analysis . . . . . . . . . . . 1242--1253
               Will Wei Sun and   
                Xingye Qiao and   
                    Guang Cheng   Stabilized Nearest Neighbor Classifier
                                  and its Statistical Properties . . . . . 1254--1265
                 Emre Barut and   
               Jianqing Fan and   
            Anneleen Verhasselt   Conditional Sure Independence Screening  1266--1277
     Christopher J. Bennett and   
            Brennan S. Thompson   Graphical Procedures for Multiple
                                  Comparisons Under General Dependence . . 1278--1288
                    Gang Li and   
                      Qing Yang   Joint Inference for Competing Risks
                                  Survival Data  . . . . . . . . . . . . . 1289--1300
              Samiran Sinha and   
                     Yanyuan Ma   Analysis of Proportional Odds Models
                                  With Censoring and Errors-in-Covariates  1301--1312
             Efstathia Bura and   
             Sabrina Duarte and   
                Liliana Forzani   Sufficient Reductions in Regressions
                                  With Exponential Family Inverse
                                  Predictors . . . . . . . . . . . . . . . 1313--1329
            Carsten Jentsch and   
                  Claudia Kirch   How Much Information Does Dependence
                                  Between Wavelet Coefficients Contain?    1330--1345
                 Jan Hannig and   
                  Hari Iyer and   
            Randy C. S. Lai and   
               Thomas C. M. Lee   Generalized Fiducial Inference: A Review
                                  and New Results  . . . . . . . . . . . . 1346--1361
                      Anonymous   Book Reviews . . . . . . . . . . . . . . 1362--1369
             Wouter Duivesteijn   Correction to Jin-Ting Zhang's
                                  ``Approximate and Asymptotic
                                  Distributions of Chi-Squared-Type
                                  Mixtures With Applications'' . . . . . . 1370--1371

Journal of the American Statistical Association
Volume 111, Number 516, 2017

                   Jessica Utts   Appreciating Statistics  . . . . . . . . 1373--1380
         Edoardo M. Airoldi and   
            Jonathan M. Bischof   Improving and Evaluating Topic Models
                                  and Other Models of Text . . . . . . . . 1381--1403
                     Matt Taddy   Comment  . . . . . . . . . . . . . . . . 1403--1405
         Aleksandrina Goeva and   
               Eric D. Kolaczyk   Comment  . . . . . . . . . . . . . . . . 1405--1408
                  David M. Blei   Comment  . . . . . . . . . . . . . . . . 1408--1410
             Edoardo M. Airoldi   Rejoinder  . . . . . . . . . . . . . . . 1410--1412
                Martin Lysy and   
           Natesh S. Pillai and   
              David B. Hill and   
          M. Gregory Forest and   
         John W. R. Mellnik and   
           Paula A. Vasquez and   
              Scott A. McKinley   Model Comparison and Assessment for
                                  Single Particle Tracking in Biological
                                  Fluids . . . . . . . . . . . . . . . . . 1413--1426
                  Yize Zhao and   
             Matthias Chung and   
           Brent A. Johnson and   
           Carlos S. Moreno and   
                        Qi Long   Hierarchical Feature Selection
                                  Incorporating Known and Novel Biological
                                  Information: Identifying Genomic
                                  Features Related to Prostate Cancer
                                  Recurrence . . . . . . . . . . . . . . . 1427--1439
                Mark Fiecas and   
                 Hernando Ombao   Modeling the Evolution of Dynamic Brain
                                  Processes During an Associative Learning
                                  Experiment . . . . . . . . . . . . . . . 1440--1453
              J. T. Gaskins and   
              M. J. Daniels and   
                   B. H. Marcus   Bayesian Methods for Nonignorable
                                  Dropout in Joint Models in Smoking
                                  Cessation Studies  . . . . . . . . . . . 1454--1465
            Jared S. Murray and   
               Jerome P. Reiter   Multiple Imputation of Missing
                                  Categorical and Continuous Values via
                                  Bayesian Mixture Models With Local
                                  Dependence . . . . . . . . . . . . . . . 1466--1479
          Jörg Polzehl and   
                Karsten Tabelow   Low SNR in Diffusion MRI Models  . . . . 1480--1490
  Wolfgang Karl Härdle and   
Brenda López Cabrera and   
               Ostap Okhrin and   
                   Weining Wang   Localizing Temperature Risk  . . . . . . 1491--1508
               Guanhua Chen and   
               Donglin Zeng and   
             Michael R. Kosorok   Personalized Dose Finding Using Outcome
                                  Weighted Learning  . . . . . . . . . . . 1509--1521
                 Tianxi Cai and   
                        Lu Tian   Comment  . . . . . . . . . . . . . . . . 1521--1524
                    Jun Fan and   
                      Ming Yuan   Comment  . . . . . . . . . . . . . . . . 1524--1525
       Alexander R. Luedtke and   
           Mark J. van der Laan   Comment  . . . . . . . . . . . . . . . . 1526--1530
         Michael P. Wallace and   
         Erica E. M. Moodie and   
              David A. Stephens   Comment  . . . . . . . . . . . . . . . . 1530--1534
            Elizabeth L. Ogburn   Comment  . . . . . . . . . . . . . . . . 1534--1537
                       Min Qian   Comment  . . . . . . . . . . . . . . . . 1538--1541
              Michael Rosenblum   Comment  . . . . . . . . . . . . . . . . 1541--1542
               Guanhua Chen and   
               Donglin Zeng and   
             Michael R. Kosorok   Rejoinder  . . . . . . . . . . . . . . . 1543--1547
              Simon N. Wood and   
                Natalya Pya and   
           Benjamin Säfken   Smoothing Parameter and Model Selection
                                  for General Smooth Models  . . . . . . . 1548--1563
                   Thomas Kneib   Comment  . . . . . . . . . . . . . . . . 1563--1565
                  Thomas W. Yee   Comment  . . . . . . . . . . . . . . . . 1565--1568
               Sonja Greven and   
                 Fabian Scheipl   Comment  . . . . . . . . . . . . . . . . 1568--1573
              Simon N. Wood and   
                Natalya Pya and   
           Benjamin Säfken   Rejoinder  . . . . . . . . . . . . . . . 1573--1575
                Xinlei Wang and   
                  Johan Lim and   
                   Lynne Stokes   Using Ranked Set Sampling With Cluster
                                  Randomized Designs for Improved
                                  Inference on Treatment Effects . . . . . 1576--1590
          Patrick R. Conrad and   
         Youssef M. Marzouk and   
           Natesh S. Pillai and   
                    Aaron Smith   Accelerating Asymptotically Exact MCMC
                                  for Computationally Intensive Models via
                                  Local Approximations . . . . . . . . . . 1591--1607
    Veronika Rocková and   
               Edward I. George   Fast Bayesian Factor Analysis via
                                  Automatic Rotations to Sparsity  . . . . 1608--1622
 Ville A. Satopää and   
             Robin Pemantle and   
                  Lyle H. Ungar   Modeling Probability Forecasts via
                                  Information Diversity  . . . . . . . . . 1623--1633
             Pramita Bagchi and   
         Moulinath Banerjee and   
               Stilian A. Stoev   Inference for Monotone Functions Under
                                  Short- and Long-Range Dependence:
                                  Confidence Intervals and New Universal
                                  Limits . . . . . . . . . . . . . . . . . 1634--1647
             Pietro Coretto and   
               Christian Hennig   Robust Improper Maximum Likelihood:
                                  Tuning, Computation, and a Comparison
                                  With Other Methods for Robust Gaussian
                                  Clustering . . . . . . . . . . . . . . . 1648--1659
         Rebecca C. Steorts and   
                   Rob Hall and   
            Stephen E. Fienberg   A Bayesian Approach to Graphical Record
                                  Linkage and Deduplication  . . . . . . . 1660--1672
                  Wang Miao and   
                  Peng Ding and   
                       Zhi Geng   Identifiability of Normal and Normal
                                  Mixture Models with Nonignorable Missing
                                  Data . . . . . . . . . . . . . . . . . . 1673--1683
           Valentin Patilea and   
César Sánchez-Sellero and   
               Matthieu Saumard   Testing the Predictor Effect on a
                                  Functional Response  . . . . . . . . . . 1684--1695
               Bing-Yi Jing and   
                Zhouping Li and   
              Guangming Pan and   
                      Wang Zhou   On SURE-Type Double Shrinkage Estimation 1696--1704
        Naveen N. Narisetty and   
                Vijayan N. Nair   Extremal Depth for Functional Data and
                                  Applications . . . . . . . . . . . . . . 1705--1714
           Pier Luigi Conti and   
            Daniela Marella and   
                    Mauro Scanu   Statistical Matching Analysis for
                                  Complex Survey Data With Applications    1715--1725
               Jianqing Fan and   
               Lingzhou Xue and   
                        Hui Zou   Multitask Quantile Regression Under the
                                  Transnormal Model  . . . . . . . . . . . 1726--1735
                J. D. Godolphin   A Link Between the $E$-Value and the
                                  Robustness of Block Designs  . . . . . . 1736--1745
               Botond Cseke and   
      Andrew Zammit-Mangion and   
                 Tom Heskes and   
              Guido Sanguinetti   Sparse Approximate Inference for
                                  Spatio-Temporal Point Process Models . . 1746--1763
        Claudio Agostinelli and   
         Víctor J. Yohai   Composite Robust Estimators for Linear
                                  Mixed Models . . . . . . . . . . . . . . 1764--1774
                Xinyu Zhang and   
                   Dalei Yu and   
                 Guohua Zou and   
                      Hua Liang   Optimal Model Averaging Estimation for
                                  Generalized Linear Models and
                                  Generalized Linear Mixed-Effects Models  1775--1790
               Abhra Sarkar and   
                David B. Dunson   Bayesian Nonparametric Modeling of
                                  Higher Order Markov Chains . . . . . . . 1791--1803
                   Degui Li and   
                Junhui Qian and   
                    Liangjun Su   Panel Data Models With Interactive Fixed
                                  Effects and Multiple Structural Breaks   1804--1819
           Colin B. Fogarty and   
                 Dylan S. Small   Sensitivity Analysis for Multiple
                                  Comparisons in Matched Observational
                                  Studies Through Quadratically
                                  Constrained Linear Programming . . . . . 1820--1830
             J. R. Lockwood and   
            Daniel F. McCaffrey   Matching and Weighting With Functions of
                                  Error-Prone Covariates for Causal
                                  Inference  . . . . . . . . . . . . . . . 1831--1839
                      Anonymous   Book Reviews . . . . . . . . . . . . . . 1840--1851
                      Anonymous   Correction . . . . . . . . . . . . . . . 1852--1852
                      Anonymous   Editorial Collaborators  . . . . . . . . 1853--1861
                      Anonymous   Editorial Board EOV  . . . . . . . . . . ebi--ebi


Journal of the American Statistical Association
Volume 112, Number 517, 2017

           Valen E. Johnson and   
           Richard D. Payne and   
              Tianying Wang and   
                 Alex Asher and   
                 Soutrik Mandal   On the Reproducibility of Psychological
                                  Science  . . . . . . . . . . . . . . . . 1--10
           Thomas A. Murray and   
             Peter F. Thall and   
                  Ying Yuan and   
               Sarah McAvoy and   
                Daniel R. Gomez   Robust Treatment Comparison Based on
                                  Utilities of Semi-Competing Risks in
                                  Non-Small-Cell Lung Cancer . . . . . . . 11--23
               J. L. Scealy and   
                    A. H. Welsh   A Directional Mixed Effects Model for
                                  Compositional Expenditure Data . . . . . 24--36
           Bledar A. Konomi and   
       Georgios Karagiannis and   
                  Kevin Lai and   
                      Guang Lin   Bayesian Treed Calibration: An
                                  Application to Carbon Capture With AX
                                  Sorbent  . . . . . . . . . . . . . . . . 37--53
             Audrey Mauguen and   
             Emily C. Zabor and   
            Nancy E. Thomas and   
           Marianne Berwick and   
      Venkatraman E. Seshan and   
                  Colin B. Begg   Defining Cancer Subtypes With
                                  Distinctive Etiologic Profiles: An
                                  Application to the Epidemiology of
                                  Melanoma . . . . . . . . . . . . . . . . 54--63
                Ian Barnett and   
         Rajarshi Mukherjee and   
                     Xihong Lin   The Generalized Higher Criticism for
                                  Testing SNP-Set Effects in Genetic
                                  Association Studies  . . . . . . . . . . 64--76
                Sungmin Kim and   
               Kevin Potter and   
         Peter F. Craigmile and   
             Mario Peruggia and   
               Trisha Van Zandt   A Bayesian Race Model for Recognition
                                  Memory . . . . . . . . . . . . . . . . . 77--91
          Curtis B. Storlie and   
             Brian J. Reich and   
            William N. Rust and   
        Lawrence O. Ticknor and   
           Amanda M. Bonnie and   
          Andrew J. Montoya and   
              Sarah E. Michalak   Spatiotemporal Modeling of Node
                                  Temperatures in Supercomputers . . . . . 92--108
         Michael W. Robbins and   
           Jessica Saunders and   
                    Beau Kilmer   A Framework for Synthetic Control
                                  Methods With High-Dimensional,
                                  Micro-Level Data: Evaluating a
                                  Neighborhood-Specific Crime Intervention 109--126
Brenda López Cabrera and   
               Franziska Schulz   Forecasting Generalized Quantiles of
                                  Electricity Demand: A Functional Data
                                  Approach . . . . . . . . . . . . . . . . 127--136
                     M. P. Wand   Fast Approximate Inference for
                                  Arbitrarily Large Semiparametric
                                  Regression Models via Message Passing    137--168
                Dustin Tran and   
                  David M. Blei   Comment  . . . . . . . . . . . . . . . . 156--158
                      Wanzhu Tu   Comment  . . . . . . . . . . . . . . . . 158--161
            Philip T. Reiss and   
                 Jeff Goldsmith   Comment  . . . . . . . . . . . . . . . . 161--164
                  Simon N. Wood   Comment  . . . . . . . . . . . . . . . . 164--166
                     M. P. Wand   Rejoinder  . . . . . . . . . . . . . . . 166--168
                   Xin Zhou and   
      Nicole Mayer-Hamblett and   
                  Umer Khan and   
             Michael R. Kosorok   Residual Weighted Learning for
                                  Estimating Individualized Treatment
                                  Rules  . . . . . . . . . . . . . . . . . 169--187
                  Qing Yang and   
                  Guangming Pan   Weighted Statistic in Detecting Faint
                                  and Sparse Alternatives for
                                  High-Dimensional Covariance Matrices . . 188--200
              Matthias Katzfuss   A Multi-Resolution Approximation for
                                  Massive Spatial Datasets . . . . . . . . 201--214
 Thaís C. O. Fonseca and   
           Marco A. R. Ferreira   Dynamic Multiscale Spatiotemporal Models
                                  for Poisson Data . . . . . . . . . . . . 215--234
                Shaojun Guo and   
             John Leigh Box and   
                  Wenyang Zhang   A Dynamic Structure for High-Dimensional
                                  Covariance Matrices and Its Application
                                  in Portfolio Allocation  . . . . . . . . 235--253
              David Rossell and   
              Donatello Telesca   Nonlocal Priors for High-Dimensional
                                  Estimation . . . . . . . . . . . . . . . 254--265
                    Tao Zou and   
                    Wei Lan and   
              Hansheng Wang and   
                 Chih-Ling Tsai   Covariance Regression Analysis . . . . . 266--281
               Jack Kuipers and   
                    Giusi Moffa   Partition MCMC for Inference on Acyclic
                                  Digraphs . . . . . . . . . . . . . . . . 282--299
               Jonghyun Yun and   
                   Fan Yang and   
                     Yuguo Chen   Augmented Particle Filters . . . . . . . 300--313
         Roderick J. Little and   
            Donald B. Rubin and   
              Sahar Z. Zangeneh   Conditions for Ignoring the Missing-Data
                                  Mechanism in Likelihood Inferences for
                                  Parameter Subsets  . . . . . . . . . . . 314--320
           Colin B. Fogarty and   
                   Pixu Shi and   
          Mark E. Mikkelsen and   
                 Dylan S. Small   Randomization Inference and Sensitivity
                                  Analysis for Composite Null Hypotheses
                                  With Binary Outcomes in Matched
                                  Observational Studies  . . . . . . . . . 321--331
                     Jia Li and   
             Viktor Todorov and   
                 George Tauchen   Robust Jump Regressions  . . . . . . . . 332--341
                 Yuan Huang and   
             Qingzhao Zhang and   
               Sanguo Zhang and   
                 Jian Huang and   
                    Shuangge Ma   Promoting Similarity of Sparsity
                                  Structures in Integrative Analysis With
                                  Penalization . . . . . . . . . . . . . . 342--350
       Kwun Chuen Gary Chan and   
                 Mei-Cheng Wang   Semiparametric Modeling and Estimation
                                  of the Terminal Behavior of Recurrent
                                  Marker Processes Before Failure Events   351--362
Simón Lunagómez and   
            Sayan Mukherjee and   
          Robert L. Wolpert and   
             Edoardo M. Airoldi   Geometric Representations of Random
                                  Hypergraphs  . . . . . . . . . . . . . . 363--383
               Ilze Kalnina and   
                    Dacheng Xiu   Nonparametric Estimation of the Leverage
                                  Effect: A Trade-Off Between Robustness
                                  and Efficiency . . . . . . . . . . . . . 384--396
                   Hao Chen and   
             Jerome H. Friedman   A New Graph-Based Two-Sample Test for
                                  Multivariate and Object Data . . . . . . 397--409
                  Shujie Ma and   
                     Jian Huang   A Concave Pairwise Fusion Approach to
                                  Subgroup Analysis  . . . . . . . . . . . 410--423
                Mark Fiecas and   
         Jürgen Franke and   
           Rainer von Sachs and   
      Joseph Tadjuidje Kamgaing   Shrinkage Estimation for Multivariate
                                  Hidden Markov Models . . . . . . . . . . 424--435
             Andreas Alfons and   
           Christophe Croux and   
                Peter Filzmoser   Robust Maximum Association Estimators    436--445
               Andreas Hagemann   Cluster-Robust Bootstrap Inference in
                                  Quantile Regression Models . . . . . . . 446--456
                      Anonymous   Book Reviews . . . . . . . . . . . . . . 457--464
                      Anonymous   Correction . . . . . . . . . . . . . . . 465--465
                      Anonymous   Correction . . . . . . . . . . . . . . . 466--469

Journal of the American Statistical Association
Volume 112, Number 518, 2017

                  Guohui Wu and   
                 Scott H. Holan   Bayesian Hierarchical Multi-Population
                                  Multistate Jolly-Seber Models With
                                  Covariates: Application to the Pallid
                                  Sturgeon Population Assessment Program   471--483
            Giampiero Marra and   
             Rosalba Radice and   
     Till Bärnighausen and   
              Simon N. Wood and   
               Mark E. McGovern   A Simultaneous Equation Approach to
                                  Estimating HIV Prevalence With
                                  Nonignorable Missing Responses . . . . . 484--496
               Ephraim M. Hanks   Modeling Spatial Covariance Using the
                                  Limiting Distribution of Spatio-Temporal
                                  Random Walks . . . . . . . . . . . . . . 497--507
                 Beibei Guo and   
                      Ying Yuan   Bayesian Phase I/II Biomarker-Based Dose
                                  Finding for Precision Medicine With
                                  Molecularly Targeted Agents  . . . . . . 508--520
              Justin Strait and   
           Sebastian Kurtek and   
               Emily Bartha and   
           Steven N. MacEachern   Landmark-Constrained Elastic Shape
                                  Analysis of Planar Curves  . . . . . . . 521--533
          Brian L. Egleston and   
             Robert G. Uzzo and   
                   Yu-Ning Wong   Latent Class Survival Models Linked by
                                  Principal Stratification to Investigate
                                  Heterogeneous Survival Subgroups Among
                                  Individuals With Early-Stage Kidney
                                  Cancer . . . . . . . . . . . . . . . . . 534--546
 José R. Zubizarreta and   
                     Luke Keele   Optimal Multilevel Matching in Clustered
                                  Observational Studies: A Case Study of
                                  the Effectiveness of Private Schools
                                  Under a Large-Scale Voucher System . . . 547--560
              Dalia Chakrabarty   A New Bayesian Test to Test for the
                                  Intractability-Countering Hypothesis . . 561--577
            Mevin B. Hooten and   
               Devin S. Johnson   Basis Function Models for Animal
                                  Movement . . . . . . . . . . . . . . . . 578--589
              Matthew Blackwell   Instrumental Variable Methods for
                                  Conditional Effects and Causal
                                  Interaction in Voter Mobilization
                                  Experiments  . . . . . . . . . . . . . . 590--599
               Mauricio Sadinle   Bayesian Estimation of Bipartite
                                  Matchings for Record Linkage . . . . . . 600--612
                   Yijian Huang   Restoration of Monotonicity Respecting
                                  in Dynamic Regression  . . . . . . . . . 613--622
          David S. Matteson and   
                   Ruey S. Tsay   Independent Component Analysis via
                                  Distance Covariance  . . . . . . . . . . 623--637
            Kristin A. Linn and   
              Eric B. Laber and   
           Leonard A. Stefanski   Interactive $Q$-Learning for Quantiles   638--649
                  Shujie Ma and   
                   Runze Li and   
                 Chih-Ling Tsai   Variable Screening via Quantile Partial
                                  Correlation  . . . . . . . . . . . . . . 650--663
              Qingning Zhou and   
                     Tao Hu and   
                    Jianguo Sun   A Sieve Semiparametric Maximum
                                  Likelihood Approach for Regression
                                  Analysis of Bivariate Interval-Censored
                                  Failure Time Data  . . . . . . . . . . . 664--672
             Vikram V. Garg and   
                 Roy H. Stogner   Hierarchical Latin Hypercube Sampling    673--682
                Fasheng Sun and   
                     Boxin Tang   A Method of Constructing Space-Filling
                                  Orthogonal Designs . . . . . . . . . . . 683--689
                 Ruiyan Luo and   
                         Xin Qi   Function-on-Function Linear Regression
                                  by Signal Compression  . . . . . . . . . 690--705
          Alexander Schnurr and   
                 Herold Dehling   Testing for Structural Breaks via
                                  Ordinal Pattern Dependence . . . . . . . 706--720
              David B. Dahl and   
                   Ryan Day and   
                  Jerry W. Tsai   Random Partition Distribution Indexed by
                                  Pairwise Information . . . . . . . . . . 721--732
            Daniel R. Kowal and   
          David S. Matteson and   
                  David Ruppert   A Bayesian Multivariate Functional
                                  Dynamic Linear Model . . . . . . . . . . 733--744
                  Yifei Sun and   
                 Mei-Cheng Wang   Evaluating Utility Measurement From
                                  Recurrent Marker Processes in the
                                  Presence of Competing Terminal Events    745--756
             Xianyang Zhang and   
                    Guang Cheng   Simultaneous Inference for
                                  High-Dimensional Linear Models . . . . . 757--768
                  Ailin Fan and   
                   Rui Song and   
                      Wenbin Lu   Change-Plane Analysis for Subgroup
                                  Detection and Sample Size Calculation    769--778
                    Yang Ni and   
        Francesco C. Stingo and   
Veerabhadran Baladandayuthapani   Sparse Multi-Dimensional Graphical
                                  Models: A Unified Bayesian Framework . . 779--793
                 Gongjun Xu and   
               Sy Han Chiou and   
            Chiung-Yu Huang and   
             Mei-Cheng Wang and   
                        Jun Yan   Joint Scale-Change Models for Recurrent
                                  Events and Failure Time  . . . . . . . . 794--805
Andrés F. Barrientos and   
             Alejandro Jara and   
           Fernando A. Quintana   Fully Nonparametric Regression for
                                  Bounded Data Using Dependent Bernstein
                                  Polynomials  . . . . . . . . . . . . . . 806--825
                  Yifei Sun and   
            Chiung-Yu Huang and   
                 Mei-Cheng Wang   Nonparametric Benefit-Risk Assessment
                                  Using Marker Process in the Presence of
                                  a Terminal Event . . . . . . . . . . . . 826--836
                     Ang Li and   
             Rina Foygel Barber   Accumulation Tests for FDR Control in
                                  Ordered Hypothesis Testing . . . . . . . 837--849
   Hél\`ene Juillard and   
          Guillaume Chauvet and   
                Anne Ruiz-Gazen   Estimation Under Cross-Classified
                                  Sampling With Application to a Childhood
                                  Survey . . . . . . . . . . . . . . . . . 850--858
              David M. Blei and   
             Alp Kucukelbir and   
               Jon D. McAuliffe   Variational Inference: A Review for
                                  Statisticians  . . . . . . . . . . . . . 859--877
                      Anonymous   Book Reviews . . . . . . . . . . . . . . 878--882
                 Sokbae Lee and   
             Myung Hwan Seo and   
                   Youngki Shin   Correction . . . . . . . . . . . . . . . 883--883

Journal of the American Statistical Association
Volume 112, Number 519, 2017

        Blakeley B. McShane and   
                      David Gal   Statistical Significance and the
                                  Dichotomization of Evidence  . . . . . . 885--895
                   Donald Berry   A $p$-Value to Die For . . . . . . . . . 895--897
              William M. Briggs   The Substitute for $p$-Values  . . . . . 897--898
              Andrew Gelman and   
                    John Carlin   Some Natural Solutions to the $p$-Value
                                  Communication Problem --- and Why They
                                  Won't Work . . . . . . . . . . . . . . . 899--901
              Eric B. Laber and   
                  Kerby Shedden   Statistical Significance and the
                                  Dichotomization of Evidence: The
                                  Relevance of the ASA Statement on
                                  Statistical Significance and $p$-Values
                                  for Statisticians  . . . . . . . . . . . 902--904
        Blakeley B. McShane and   
                      David Gal   Rejoinder: Statistical Significance and
                                  the Dichotomization of Evidence  . . . . 904--908
             Alfredo Farjat and   
             Brian J. Reich and   
            Joseph Guinness and   
               Ross Whetten and   
             Steven McKeand and   
                    Fikret Isik   Optimal Seed Deployment Under Climate
                                  Change Using Spatial Models: Application
                                  to Loblolly Pine in the Southeastern US  909--920
              Ethan X. Fang and   
                Min-Dian Li and   
          Michael I. Jordan and   
                        Han Liu   Mining Massive Amounts of Genomic Data:
                                  A Semiparametric Topic Modeling Approach 921--932
               E. I. George and   
          V. Rocková and   
            P. R. Rosenbaum and   
    V. A. Satopää and   
                   J. H. Silber   Mortality Rate Estimation and
                                  Standardization for Public Reporting:
                                  Medicare's Hospital Compare  . . . . . . 933--947
                Mike G. Tsionas   ``When, Where, and How'' of Efficiency
                                  Estimation: Improved Procedures for
                                  Stochastic Frontier Modeling . . . . . . 948--965
                  Zihuai He and   
                  Min Zhang and   
              Seunggeun Lee and   
          Jennifer A. Smith and   
        Sharon L. R. Kardia and   
               V. Diez Roux and   
              Bhramar Mukherjee   Set-Based Tests for the Gene-Environment
                                  Interaction in Longitudinal Studies  . . 966--978
                  Weiyi Xie and   
           Sebastian Kurtek and   
            Karthik Bharath and   
                       Ying Sun   A Geometric Approach to Visualization of
                                  Variability in Functional Data . . . . . 979--993
              Jingfei Zhang and   
                      Jiguo Cao   Finding Common Modules in a Time-Varying
                                  Network with Application to the
                                  \bionameDrosophila Melanogaster Gene
                                  Regulation Network . . . . . . . . . . . 994--1008
                 Hongtu Zhu and   
                   Dan Shen and   
                Xuewei Peng and   
                 Leo Yufeng Liu   MWPCR: Multiscale Weighted Principal
                                  Component Regression for
                                  High-Dimensional Prediction  . . . . . . 1009--1021
                   Tao Wang and   
                    Hongyu Zhao   Constructing Predictive Microbial
                                  Signatures at Multiple Taxonomic Levels  1022--1031
            Sihai Dave Zhao and   
                T. Tony Cai and   
          Thomas P. Cappola and   
       Kenneth B. Margulies and   
                     Hongzhe Li   Sparse Simultaneous Signal Detection for
                                  Identifying Genetically Controlled
                                  Disease Genes  . . . . . . . . . . . . . 1032--1046
              Wesley Tansey and   
                 Alex Athey and   
              Alex Reinhart and   
                 James G. Scott   Multiscale Spatial Density Smoothing: An
                                  Application to Large-Scale Radiological
                                  Survey and Anomaly Detection . . . . . . 1047--1063
           Karun Adusumilli and   
                   Taisuke Otsu   Empirical Likelihood for Random Sets . . 1064--1075
               Kin Wai Chan and   
                   Chun Yip Yau   Automatic Optimal Batch Size Selection
                                  for Recursive Estimators of Time-Average
                                  Covariance Matrix  . . . . . . . . . . . 1076--1089
              Neil Shephard and   
                 Justin J. Yang   Continuous Time Analysis of Fleeting
                                  Discrete Price Moves . . . . . . . . . . 1090--1106
                   Yun Yang and   
                Surya T. Tokdar   Joint Estimation of Quantile Planes Over
                                  Arbitrary Predictor Spaces . . . . . . . 1107--1120
       Thomas S. Richardson and   
            James M. Robins and   
                     Linbo Wang   On Modeling and Estimation for the
                                  Relative Risk and Risk Difference  . . . 1121--1130
                   Lexin Li and   
                      Xin Zhang   Parsimonious Tensor Response Regression  1131--1146
                     David Choi   Estimation of Monotone Treatment Effects
                                  in Network Experiments . . . . . . . . . 1147--1155
                  Xiao Wang and   
                     Hongtu Zhu   Generalized Scalar-on-Image Regression
                                  Models via Total Variation . . . . . . . 1156--1168
                Jialiang Li and   
                 Chao Huang and   
                    Zhub Hongtu   A Functional Varying-Coefficient
                                  Single-Index Model for Functional
                                  Response Data  . . . . . . . . . . . . . 1169--1181
              Tomohiro Ando and   
                     Jushan Bai   Clustering Huge Number of Financial Time
                                  Series: A Panel Data Approach With
                                  High-Dimensional Predictors and Factor
                                  Structures . . . . . . . . . . . . . . . 1182--1198
              Simon N. Wood and   
                 Zheyuan Li and   
             Gavin Shaddick and   
             Nicole H. Augustin   Generalized Additive Models for
                                  Gigadata: Modeling the U.K. Black Smoke
                                  Network Daily Data . . . . . . . . . . . 1199--1210
          Cyrus J. DiCiccio and   
               Joseph P. Romano   Robust Permutation Tests For Correlation
                                  And Regression Coefficients  . . . . . . 1211--1220
     Jon Arni Steingrimsson and   
          Robert L. Strawderman   Estimation in the Semiparametric
                                  Accelerated Failure Time Model With
                                  Missing Covariates: Improving Efficiency
                                  Through Augmentation . . . . . . . . . . 1221--1235
                Ganggang Xu and   
                 Marc G. Genton   Tukey $g$-and-$h$ Random Fields  . . . . 1236--1249
                 Pengfei Li and   
                  Yukun Liu and   
                       Jing Qin   Semiparametric Inference in a Genetic
                                  Mixture Model  . . . . . . . . . . . . . 1250--1260
                 Lizhen Lin and   
            Brian St.Thomas and   
                 Hongtu Zhu and   
                David B. Dunson   Extrinsic Local Regression on
                                  Manifold-Valued Data . . . . . . . . . . 1261--1273
                Matthew Plumlee   Bayesian Calibration of Inexact Computer
                                  Models . . . . . . . . . . . . . . . . . 1274--1285
               Kyle Vincent and   
                 Steve Thompson   Estimating Population Size With
                                  Link-Tracing Sampling  . . . . . . . . . 1286--1295
            Ming-Yueh Huang and   
              Chin-Tsang Chiang   An Effective Semiparametric Estimation
                                  Approach for the Sufficient Dimension
                                  Reduction Model  . . . . . . . . . . . . 1296--1310
             Kazuki Uematsu and   
                  Yoonkyung Lee   On Theoretically Optimal Ranking
                                  Functions in Bipartite Ranking . . . . . 1311--1322
          Francis K. C. Hui and   
         Samuel Müller and   
                    A. H. Welsh   Joint Selection in Mixed Models using
                                  Regularized PQL  . . . . . . . . . . . . 1323--1333
      Ulrich K. Müller and   
                    Yulong Wang   Fixed-$k$ Asymptotic Inference About
                                  Tail Properties  . . . . . . . . . . . . 1334--1343
                    Xuan Bi and   
                   Annie Qu and   
                Junhui Wang and   
                  Xiaotong Shen   A Group-Specific Recommender System  . . 1344--1353
             Eric D. Schoen and   
               Nha Vo-Thanh and   
                     Peter Goos   Two-Level Orthogonal Screening Designs
                                  With 24, 28, 32, and 36 Runs . . . . . . 1354--1369
                      Anonymous   Book Reviews . . . . . . . . . . . . . . 1370--1379