Table of contents for issues of Journal of Computational and Graphical Statistics

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Volume 1, Number 1, March, 1992
Volume 1, Number 2, June, 1992
Volume 1, Number 3, September, 1992
Volume 1, Number 4, December, 1992
Volume 2, Number 1, March, 1993
Volume 2, Number 2, June, 1993
Volume 2, Number 3, September, 1993
Volume 2, Number 4, December, 1993
Volume 3, Number 1, March, 1994
Volume 3, Number 2, June, 1994
Volume 3, Number 3, September, 1994
Volume 3, Number 4, December, 1994
Volume 4, Number 1, March, 1995
Volume 4, Number 2, June, 1995
Volume 4, Number 3, September, 1995
Volume 5, Number 1, March, 1996
Volume 5, Number 2, June, 1996
Volume 5, Number 3, September, 1996
Volume 5, Number 4, December, 1996
Volume 6, Number 1, March, 1997
Volume 6, Number 2, June, 1997
Volume 6, Number 3, September, 1997
Volume 6, Number 4, December, 1997
Volume 7, Number 1, March, 1998
Volume 7, Number 2, June, 1998
Volume 7, Number 3, September, 1998
Volume 7, Number 4, December, 1998
Volume 8, Number 1, March, 1999
Volume 8, Number 2, June, 1999
Volume 8, Number 3, September, 1999
Volume 8, Number 4, December, 1999
Volume 9, Number 1, March, 2000
Volume 9, Number 3, September, 2000
Volume 9, Number 4, December, 2000
Volume 10, Number 1, March, 2001
Volume 10, Number 2, June, 2001
Volume 10, Number 3, September, 2001
Volume 10, Number 4, December, 2001
Volume 11, Number 1, March, 2002
Volume 11, Number 2, June, 2002
Volume 11, Number 3, September, 2002
Volume 11, Number 4, December, 2002
Volume 12, Number 1, March, 2003
Volume 12, Number 2, June, 2003
Volume 12, Number 3, September, 2003
Volume 12, Number 4, December, 2003
Volume 13, Number 1, March, 2004
Volume 13, Number 2, June, 2004
Volume 13, Number 3, September, 2004
Volume 13, Number 4, December, 2004
Volume 14, Number 1, March, 2005
Volume 14, Number 2, June, 2005
Volume 14, Number 3, September, 2005
Volume 14, Number 4, December, 2005
Volume 15, Number 1, March, 2006
Volume 15, Number 2, June, 2006
Volume 15, Number 3, September, 2006
Volume 15, Number 4, December, 2006
Volume 16, Number 1, March, 2007
Volume 16, Number 2, June, 2007
Volume 16, Number 3, September, 2007
Volume 16, Number 4, December, 2007
Volume 17, Number 1, March, 2008
Volume 17, Number 2, June, 2008
Volume 17, Number 3, September, 2008
Volume 17, Number 4, December, 2008
Volume 18, Number 1, March, 2009
Volume 18, Number 2, June, 2009
Volume 18, Number 3, September, 2009
Volume 18, Number 4, December, 2009
Volume 19, Number 1, March, 2010
Volume 19, Number 2, June, 2010
Volume 19, Number 3, September, 2010
Volume 19, Number 4, December, 2010
Volume 20, Number 1, March, 2011
Volume 20, Number 2, June, 2011
Volume 20, Number 3, September, 2011
Volume 20, Number 4, December, 2011
Volume 21, Number 1, 2012
Volume 21, Number 2, 2012
Volume 21, Number 3, 2012
Volume 21, Number 4, 2012
Volume 22, Number 1, 2013
Volume 22, Number 2, 2013
Volume 22, Number 3, 2013
Volume 22, Number 4, 2013
Volume 23, Number 1, 2014
Volume 23, Number 2, 2014
Volume 23, Number 3, 2014
Volume 23, Number 4, 2014
Volume 24, Number 1, 2015
Volume 24, Number 2, 2015
Volume 24, Number 3, 2015
Volume 24, Number 4, 2015
Volume 25, Number 1, 2016
Volume 25, Number 2, 2016
Volume 25, Number 3, 2016
Volume 25, Number 4, 2016
Volume 26, Number 1, 2017
Volume 26, Number 2, 2017
Volume 26, Number 3, 2017
Volume 26, Number 4, 2017


Journal of Computational and Graphical Statistics
Volume 1, Number 1, March, 1992

                Stuart G. Baker   A simple method for computing the
                                  observed information matrix when using
                                  the EM algorithm with categorical data   63--76

Journal of Computational and Graphical Statistics
Volume 1, Number 2, June, 1992

          Mark J. Schervish and   
              Bradley P. Carlin   On the convergence of successive
                                  substitution sampling  . . . . . . . . . 111--127
        Jorge Aragón and   
                   David Eberly   On convergence of convex minorant
                                  algorithms for distribution estimation
                                  with interval-censored data  . . . . . . 129--140
                    S. G. Baker   Correction: ``A simple method for
                                  computing the observed information
                                  matrix when using the EM algorithm with
                                  categorical data'' [J. Comput.\ Graph.
                                  Statist. \bf 1 (1992), no. 1, 63--76]    180--180

Journal of Computational and Graphical Statistics
Volume 1, Number 3, September, 1992

                 Peter Hall and   
                   Wei Qian and   
             D. M. Titterington   Ridge finding from noisy data  . . . . . 197--211
            Thomas J. Jiang and   
           Joseph B. Kadane and   
                James M. Dickey   Computation of Carlson's multiple
                                  hypergeometric function ${\cal R}$ for
                                  Bayesian applications  . . . . . . . . . 231--251

Journal of Computational and Graphical Statistics
Volume 1, Number 4, December, 1992

           Bruce E. Barrett and   
                  J. Brian Gray   Efficient computation of subset
                                  influence in regression  . . . . . . . . 271--286
                 M. H. Kahn and   
            M. S. Mackisack and   
              M. R. Osborne and   
                    G. K. Smyth   On the consistency of Prony's method and
                                  related algorithms . . . . . . . . . . . 329--349
              Michael Evans and   
              Irwin Guttman and   
                   Ingram Olkin   Numerical aspects in estimating the
                                  parameters of a mixture of normal
                                  distributions  . . . . . . . . . . . . . 351--365


Journal of Computational and Graphical Statistics
Volume 2, Number 1, March, 1993

                  John W. Tukey   Graphic comparisons of several linked
                                  aspects: alternatives and suggested
                                  principles. With comments by Howard
                                  Wainer, Richard A. Becker and William S.
                                  Cleveland and a rejoinder by the author  1--49
                  John W. Tukey   Reply to comments on \em Graphic
                                  comparisons of several linked aspects:
                                  Alternatives and suggested principles    49--49
                   Chong Gu and   
                    Grace Wahba   Smoothing spline ANOVA with
                                  component-wise Bayesian ``confidence
                                  intervals''  . . . . . . . . . . . . . . 97--117
                    B. Bell and   
             D. B. Percival and   
                   A. T. Walden   Calculating Thomson's spectral
                                  multitapers by inverse iteration . . . . 119--130

Journal of Computational and Graphical Statistics
Volume 2, Number 2, June, 1993

              Kenneth Lange and   
            Janet S. Sinsheimer   Normal/independent distributions and
                                  their applications in robust regression  175--198
             Magdy H. Metry and   
               Allan R. Sampson   Characterizing and generating bivariate
                                  empirical rank distributions satisfying
                                  certain positive dependence concepts . . 209--223

Journal of Computational and Graphical Statistics
Volume 2, Number 3, September, 1993

                Dianne Cook and   
               Andreas Buja and   
                 Javier Cabrera   Projection pursuit indexes based on
                                  orthonormal function expansions  . . . . 225--250
              Ming-Hui Chen and   
                Bruce Schmeiser   Performance of the Gibbs, hit-and-run,
                                  and Metropolis samplers  . . . . . . . . 251--272
                 Peter Hall and   
                    Art B. Owen   Empirical likelihood confidence bands in
                                  density estimation . . . . . . . . . . . 273--289
                Luc Devroye and   
              Peter Epstein and   
    Jörg-Rüdiger Sack   On generating random intervals and
                                  hyperrectangles  . . . . . . . . . . . . 291--307
                    Neal Thomas   Asymptotic corrections for multivariate
                                  posterior moments with factored
                                  likelihood functions . . . . . . . . . . 309--322

Journal of Computational and Graphical Statistics
Volume 2, Number 4, December, 1993

              Paul R. Rosenbaum   Confident search . . . . . . . . . . . . 381--403


Journal of Computational and Graphical Statistics
Volume 3, Number 1, March, 1994

               Bert W. Rust and   
              Dianne P. O'Leary   Confidence intervals for discrete
                                  approximations to ill-posed problems . . 67--96

Journal of Computational and Graphical Statistics
Volume 3, Number 2, June, 1994

          Burkhardt Seifert and   
          Michael Brockmann and   
              Joachim Engel and   
                    Theo Gasser   Fast algorithms for nonparametric curve
                                  estimation . . . . . . . . . . . . . . . 192--213

Journal of Computational and Graphical Statistics
Volume 3, Number 3, September, 1994

            Alan E. Gelfand and   
                  Sujit K. Sahu   On Markov chain Monte Carlo acceleration 261--276
                   H. Block and   
                    S. Qian and   
                     A. Sampson   Structure algorithms for partially
                                  ordered isotonic regression  . . . . . . 285--300

Journal of Computational and Graphical Statistics
Volume 3, Number 4, December, 1994

           George W. Furnas and   
                   Andreas Buja   Prosection views: dimensional inference
                                  through sections and projections. With a
                                  discussion by John F. Elder IV, Shingo
                                  Oue and Daniel B. Carr and a rejoinder
                                  by the authors . . . . . . . . . . . . . 323--385
          Andrew T. A. Wood and   
                     Grace Chan   Simulation of stationary Gaussian
                                  processes in $[0,1]_d$ . . . . . . . . . 409--432
                     M. P. Wand   Fast computation of multivariate kernel
                                  estimators . . . . . . . . . . . . . . . 433--445
               Paul D. Valz and   
               Mary E. Thompson   Exact inference for Kendall's ${S}$ and
                                  Spearman's $\rho$ with extension to
                                  Fisher's exact test in $r\times c$
                                  contingency tables . . . . . . . . . . . 459--472


Journal of Computational and Graphical Statistics
Volume 4, Number 1, March, 1995

                  G. W. Stewart   Gauss, statistics, and Gaussian
                                  elimination  . . . . . . . . . . . . . . 1--11
               Hongshik Ahn and   
                  James J. Chen   Generation of over-dispersed and
                                  under-dispersed binomial variates  . . . 55--64

Journal of Computational and Graphical Statistics
Volume 4, Number 2, June, 1995

                 Tim Hesterberg   Tail-specific linear approximations for
                                  efficient bootstrap simulations  . . . . 113--133
               Charles J. Geyer   Conditioning in Markov chain Monte Carlo 148--154

Journal of Computational and Graphical Statistics
Volume 4, Number 3, September, 1995

           Jeffrey L. Solka and   
            Wendy L. Poston and   
               Edward J. Wegman   A visualization technique for studying
                                  the iterative estimation of mixture
                                  densities  . . . . . . . . . . . . . . . 180--198


Journal of Computational and Graphical Statistics
Volume 5, Number 1, March, 1996

              Genshiro Kitagawa   Monte Carlo filter and smoother for
                                  non-Gaussian nonlinear state space
                                  models . . . . . . . . . . . . . . . . . 1--25
                E. J. McCoy and   
                   A. T. Walden   Wavelet analysis and synthesis of
                                  stationary long-memory processes . . . . 26--56

Journal of Computational and Graphical Statistics
Volume 5, Number 2, June, 1996

               R. A. Becker and   
            W. S. Cleveland and   
                     M.-J. Shyu   The Visual Design and Control of Trellis
                                  Display  . . . . . . . . . . . . . . . . 123--155
                 Ana Justel and   
             Daniel Peña   Gibbs sampling will fail in outlier
                                  problems with strong masking . . . . . . 176--189
                 Robert J. Gray   Hazard rate regression using ordinary
                                  nonparametric regression smoothers . . . 190--207

Journal of Computational and Graphical Statistics
Volume 5, Number 3, September, 1996

             Karim F. Hirji and   
           Stein E. Vollset and   
          Isildinha M. Reis and   
            Abdelmonem A. Afifi   Exact tests for interaction in several
                                  $2\times 2$ tables . . . . . . . . . . . 209--224
               Shixian Qian and   
                William F. Eddy   An algorithm for isotonic regression on
                                  ordered rectangular grids  . . . . . . . 225--235

Journal of Computational and Graphical Statistics
Volume 5, Number 4, December, 1996

             Rob J. Hyndman and   
        David M. Bashtannyk and   
               Gary K. Grunwald   Estimating and Visualizing Conditional
                                  Densities  . . . . . . . . . . . . . . . 315--336
              B. A. Turlach and   
                     M. P. Wand   Fast Computation of Auxiliary Quantities
                                  in Local Polynomial Regression . . . . . 337
                 Peter Hall and   
             David Matthews and   
                 Eckhard Platen   Algorithms for Analyzing Nonstationary
                                  Time Series With Fractal Noise . . . . . 351--364
              A. T. A. Wood and   
                   K.-A. Do and   
                    B. M. Broom   Sequential linearization of empirical
                                  likelihood constraints with application
                                  to ${U}$-statistics  . . . . . . . . . . 365--385
            Piet Groeneboom and   
              Peter de Jong and   
       Dimitri B. Tischenko and   
            Bert C. van Zomeren   Computer-Assisted Statistics Education
                                  at Delft University of Technology  . . . 386
                 Allan R. Wilks   Constraint-Based Representations of
                                  Statistical Graphs . . . . . . . . . . . 400
                      Anonymous   Editorial Collaborators  . . . . . . . . 416
                      Anonymous   Index for Volume 5 . . . . . . . . . . . 418


Journal of Computational and Graphical Statistics
Volume 6, Number 1, March, 1997

              Gene H. Golub and   
                   Urs von Matt   Generalized Cross-Validation for
                                  Large-Scale Problems . . . . . . . . . . 1--34
                   Eva Herrmann   Local Bandwidth Choice in Kernel
                                  Regression Estimation  . . . . . . . . . 35--54
           Arnoldo Frigessi and   
               Håvard Rue   Bayesian Image Classification With
                                  Baddeley's Delta Loss  . . . . . . . . . 55--73
                   Heping Zhang   Multivariate Adaptive Splines for
                                  Analysis of Longitudinal Data  . . . . . 74--91
                  Alan Genz and   
                 Robert E. Kass   Subregion-Adaptive Integration of
                                  Functions Having a Dominant Peak . . . . 92--111
                  D. L. Danilov   Principal Components in Time Series
                                  Forecast . . . . . . . . . . . . . . . . 112--121
                    Bob Mau and   
              Michael A. Newton   Phylogenetic Inference for Binary Data
                                  on Dendograms Using Markov Chain Monte
                                  Carlo  . . . . . . . . . . . . . . . . . 122--131
                  Ranjan Maitra   Estimating Precision in Functional
                                  Images . . . . . . . . . . . . . . . . . 132--142

Journal of Computational and Graphical Statistics
Volume 6, Number 2, June, 1997

         David J. Marchette and   
               Edward J. Wegman   The Filtered Mode Tree . . . . . . . . . 143--159
              David Madigan and   
         Krzysztof Mosurski and   
              Russell G. Almond   Graphical Explanation in Belief Networks 160--181
                 John Gavin and   
           Christopher Jennison   A Subpixel Image Restoration Algorithm   182--201
           David A. van Dyk and   
                   Xiao-li Meng   On the Orderings and Groupings of
                                  Conditional Maximizations Within
                                  ECM-Type Algorithms  . . . . . . . . . . 202--223 (or 202--221??)
      Michael A. O. Connell and   
           Russell D. Wolfinger   Spatial Regression Models, Response
                                  Surfaces, and Process Optimization . . . 224--241
               Clive Loader and   
                    Jiayang Sun   Robustness of Tube Formula Based
                                  Confidence Bands . . . . . . . . . . . . 242--250

Journal of Computational and Graphical Statistics
Volume 6, Number 3, September, 1997

               S. P. Brooks and   
             P. Dellaportas and   
                  G. O. Roberts   An Approach to Diagnosing Total
                                  Variation Convergence of MCMC Algorithms 251--265
                    Ja-Yong Koo   Spline Estimation of Discontinuous
                                  Regression Functions . . . . . . . . . . 266--284
                Suojin Wang and   
          Wayne A. Woodward and   
                 H. L. Gray and   
          Stephen Wiechecki and   
                Stephan R. Sain   A New Test for Outlier Detection From a
                                  Multivariate Mixture Distribution  . . . 285--299
            Wendy L. Poston and   
           Edward J. Wegman and   
            Carey E. Priebe and   
               Jeffrey L. Solka   A Deterministic Method for Robust
                                  Estimation of Multivariate Location and
                                  Shape  . . . . . . . . . . . . . . . . . 300--313
            Eric T. Bradlow and   
              Alan M. Zaslavsky   Case Influence Analysis in Bayesian
                                  Inference  . . . . . . . . . . . . . . . 314--331
                 Peihua Qiu and   
                  Brian Yandell   Jump Detection in Regression Surfaces    332--354

Journal of Computational and Graphical Statistics
Volume 6, Number 4, December, 1997

     Jorge Muruzábal and   
           Alberto Muñoz   On the Visualization of Outliers Via
                                  Self-Organizing Maps . . . . . . . . . . 355--382
             Chisheng Huang and   
         John Alan McDonald and   
                Werner Stuetzle   Variable Resolution Bivariate Plots  . . 383--396
                W. C. Soong and   
                   Jason C. Hsu   Using Complex Integration to Compute
                                  Multivariate Normal Probabilities  . . . 397--415
             Peter F. Thall and   
           Kathy E. Russell and   
               Richard M. Simon   Variable Selection in Regression Via
                                  Repeated Data Splitting  . . . . . . . . 416--434
                  Run-Ze Li and   
               Kaj Tai Fang and   
                    Li Xing Zhu   Some $Q-Q$ Probability Plots to Test
                                  Spherical and Elliptical Symmetry  . . . 435--450
              Linda Kaufman and   
                Arnold Neumaier   Regularization of Ill-Posed Problems by
                                  Envelope Guided Conjugate Gradients  . . 451--463
                Dianne Cook and   
                   Andreas Buja   Manual Controls for High-Dimensional
                                  Data Projections . . . . . . . . . . . . 464--480
                      Anonymous   Editorial Collaborators  . . . . . . . . 481
                      Anonymous   Index for Volume 6 . . . . . . . . . . . 483


Journal of Computational and Graphical Statistics
Volume 7, Number 1, March, 1998

              Ming-Hui Chen and   
                Bruce Schmeiser   Toward Black-Box Sampling: a
                                  Random-Direction Interior-Point Markov
                                  Chain Approach . . . . . . . . . . . . . 1--22
               Jason C. Hsu and   
                   Barry Nelson   Multiple Comparisons in the General
                                  Linear Model . . . . . . . . . . . . . . 23--41
            James P. Hobert and   
                 George Casella   Functional Compatibility, Markov Chains
                                  and Gibbs Sampling with Improper Priors  42--60
        Claudia Werthenbach and   
                   Eva Herrmann   A Fast and Stable Updating Algorithm for
                                  Bivariate Non-parametric Curve
                                  Estimation . . . . . . . . . . . . . . . 61--76
                   Kevin Hestir   Conditional Coding, a General Method for
                                  Simulating Conditional Distributions . . 77--91
                James Booth and   
                 Brett Presnell   Allocation of Monte Carlo Resources for
                                  the Iterated Bootstrap . . . . . . . . . 92--112
Deborah F. Swayne, Dianne Cook and   
                   Andreas Buja   XGobi: Interactive Dynamic Data
                                  Visualization in the X Window System . . 113--130
                Keith E. Muller   A New $F$ Approximation for the
                                  Pillai-Bartlett Trace under $H_0$  . . . 131--137

Journal of Computational and Graphical Statistics
Volume 7, Number 2, June, 1998

             George Casella and   
            Christian P. Robert   Post-Processing Accept-Reject Samples:
                                  Recycling and Rescaling  . . . . . . . . 139--157
                Gary W. Oehlert   Faster Adaptive Importance Sampling in
                                  Low Dimensions . . . . . . . . . . . . . 158--174
       Markus Hürzeler and   
            Hans R. Künsch   Monte Carlo Approximations for General
                                  State-Space Models . . . . . . . . . . . 175--193
        Tobias Rydén and   
             D. M. Titterington   Computational Bayesian Analysis of
                                  Hidden Markov Models . . . . . . . . . . 194--211
               Koon-Shing Kwong   On Sample Size and Quick Simultaneous
                                  Confidence Interval Estimations for
                                  Multinomial Proportions  . . . . . . . . 212--222
       Steven N. MacEachern and   
              Peter Müller   Estimating Mixture of Dirichlet Process
                                  Models . . . . . . . . . . . . . . . . . 223--238
        Michael C. Minnotte and   
         David J. Marchette and   
               Edward J. Wegman   The Bumpy Road to the Mode Forest  . . . 239--251

Journal of Computational and Graphical Statistics
Volume 7, Number 3, September, 1998

                     J. G. Liao   Variance Reduction in Gibbs Sampler
                                  Using Quasi Random Numbers . . . . . . . 253--266
          Ranjini Natarajan and   
           Charles E. McCulloch   Gibbs Sampling With Diffuse Proper
                                  Priors: a Valid Approach to Data-Driven
                                  Inference? . . . . . . . . . . . . . . . 267--277
               J. S. Marron and   
                    S. Adak and   
            I. M. Johnstone and   
              M. H. Neumann and   
                       P. Patil   Exact Risk Analysis of Wavelet
                                  Regression . . . . . . . . . . . . . . . 278--309
                Geurt Jongbloed   The Iterative Convex Minorant Algorithm
                                  for Nonparametric Estimation . . . . . . 310--321
             Charles Kooperberg   Bivariate Density Estimation With an
                                  Application to Survival Analysis . . . . 322--341
              S. Huzurbazar and   
               Ronald W. Butler   Importance Sampling for $p$-value
                                  Computations in Multivariate Tests . . . 342--355
          Stuart R. Lipsitz and   
             Michael Parzen and   
              Geert Molenberghs   Obtaining the Maximum Likelihood
                                  Estimates in Incomplete $R \times C$
                                  Contingency Tables Using a Poisson
                                  Generalized Linear Model . . . . . . . . 356--376
               Gareth James and   
                  Trevor Hastie   The Error Coding Method and PICTs  . . . 377--387
                      Alan Gous   Adaptive Estimation of Distributions
                                  Using Exponential Sub-Families . . . . . 388--396
                 Wenjiang J. Fu   Penalized Regressions: The Bridge Versus
                                  the Lasso  . . . . . . . . . . . . . . . 397--416

Journal of Computational and Graphical Statistics
Volume 7, Number 4, December, 1998

            Michael LeBlanc and   
              Robert Tibshirani   Monotone Shrinkage of Trees  . . . . . . 417--433
          Stephen P. Brooks and   
                  Andrew Gelman   General Methods for Monitoring
                                  Convergence of Iterative Simulations . . 434--455
               Peter Muller and   
                Brani Vidakovic   Bayesian Inference with Wavelets:
                                  Density Estimation . . . . . . . . . . . 456--468
                    Hong-ye Gao   Wavelet Shrinkage Denoising Using the
                                  Non-Negative Garrote . . . . . . . . . . 469--488
               A. W. Bowman and   
                M. C. Jones and   
                     I. Gijbels   Testing Monotonicity of Regression . . . 489--500
                  Audris Mockus   Estimating Dependencies From Spatial
                                  Averages . . . . . . . . . . . . . . . . 501--513
                   M. Evans and   
                      T. Swartz   Random Variable Generation Using
                                  Concavity Properties of Transformed
                                  Densities  . . . . . . . . . . . . . . . 514--528
             Paul N. Somerville   Numerical Computation of Multivariate
                                  Normal and Multivariate-$t$
                                  Probabilities Over Convex Regions  . . . 529--544
            Robert St Amant and   
                  Paul R. Cohen   Intelligent Support for Exploratory Data
                                  Analysis . . . . . . . . . . . . . . . . 545--561
                      Anonymous   Editorial Collaborators  . . . . . . . . 559
                      Anonymous   Index for Volume 7 . . . . . . . . . . . 561


Journal of Computational and Graphical Statistics
Volume 8, Number 1, March, 1999

             Ming-Yen Cheng and   
                Theo Gasser and   
                     Peter Hall   Nonparametric Density Estimation Under
                                  Unimodality and Monotonicity Constraints 1
        Jeffrey S. Simonoff and   
                 Chih-Ling Tsai   Semiparametric and Additive Model
                                  Selection Using an Improved Akaike
                                  Information Criterion  . . . . . . . . . 22
        A. Gregory DiRienzo and   
               Igor G. Zurbenko   Semi-Adaptive Nonparametric Spectral
                                  Estimation . . . . . . . . . . . . . . . 41
              Julian J. Faraway   A Graphical Method of Exploring the Mean
                                  Structure in Longitudinal Data Analysis  60
              Ming-Hui Chen and   
                    Qi-Man Shao   Monte Carlo Estimation of Bayesian
                                  Credible and HPD Intervals . . . . . . . 69
                Angelo J. Canty   Hypothesis Tests of Convergence in
                                  Markov Chain Monte Carlo . . . . . . . . 93
                        Wei Pan   Extending the Iterative Convex Minorant
                                  Algorithm to the Cox Model for
                                  Interval-Censored Data . . . . . . . . . 109
                Paul R. Murrell   Layouts: a Mechanism for Arranging Plots
                                  on a Page  . . . . . . . . . . . . . . . 121
                  A. Ian McLeod   Improved Spread-Location Visualization   135

Journal of Computational and Graphical Statistics
Volume 8, Number 2, June, 1999

           Colin R. Goodall and   
                Kanti V. Mardia   Projective Shape Analysis  . . . . . . . 143
         Charles Kooperberg and   
               Charles J. Stone   Stochastic Optimization Methods for
                                  Fitting Polyclass and Feed-Forward
                                  Neural Network Models  . . . . . . . . . 169
                Graham J. Wills   NicheWorks --- Interactive Visualization
                                  of Very Large Graphs . . . . . . . . . . 190
                  Jan Beran and   
                Guerino Mazzola   Visualizing the Relationship Between Two
                                  Time Series by Hierarchical Smoothing
                                  Models . . . . . . . . . . . . . . . . . 213
             Andrea Cerioli and   
                    Marco Riani   The Ordering of Spatial Data and the
                                  Detection of Multiple Outliers . . . . . 239
                 Peter Hall and   
                 Brett Presnell   Density Estimation Under Constraints . . 259
               Woocheol Kim and   
           Oliver B. Linton and   
          Niklaus W. Hengartner   A Computationally Efficient Oracle
                                  Estimator for Additive Nonparametric
                                  Regression with Bootstrap Confidence
                                  Intervals  . . . . . . . . . . . . . . . 278
           Marie-Anne Gruet and   
              Anne Philippe and   
            Christian P. Robert   MCMC Control Spreadsheets for
                                  Exponential Mixture Estimation . . . . . 298
                Ping-Hung Hsieh   Robustness of Tail Index Estimation  . . 318
              Mary J. Lindstrom   Penalized Estimation of Free-Knot
                                  Splines  . . . . . . . . . . . . . . . . 333
                     Haiyan Cai   Cluster Algorithms for Spatial Point
                                  Processes with Symmetric and Shift
                                  Invariant Interactions . . . . . . . . . 353

Journal of Computational and Graphical Statistics
Volume 8, Number 3, September, 1999

               Michael Friendly   Extending Mosaic Displays: Marginal,
                                  Conditional, and Partial Views of
                                  Categorical Data . . . . . . . . . . . . 373
               Martin Theus and   
            Stephan R. W. Lauer   Visualizing Loglinear Models . . . . . . 396
              Daniel R. Eno and   
              George R. Terrell   Scatterplots for Logistic Regression . . 413
            Daniel F. McCaffrey   Comment  . . . . . . . . . . . . . . . . 426
                      Anonymous   Rejoinder  . . . . . . . . . . . . . . . 428
          S. G. Giakoumatos and   
              I. D. Vrontos and   
             P. Dellaportas and   
                  D. N. Politis   A Markov Chain Monte Carlo Convergence
                                  Diagnostic Using Subsampling . . . . . . 431
             Geof H. Givens and   
                 Paul J. Roback   Logarithmic Pooling of Priors Linked by
                                  a Deterministic Simulation Model . . . . 452
              D. W. Müller   An Algorithm for Computing the Best
                                  Convex Contrast Curve of Two Bivariate
                                  Samples  . . . . . . . . . . . . . . . . 479
              Francisco J. Diaz   Identifying Tail Behavior by Means of
                                  Residual Quantile Functions  . . . . . . 493
               Fuchun Huang and   
                 Yosihiko Ogata   Improvements of the Maximum
                                  Pseudo-Likelihood Estimators in Various
                                  Spatial Statistical Models . . . . . . . 510
              Trevor Hastie and   
                Debra Ikeda and   
              Robert Tibshirani   Statistical Measures for the
                                  Computer-Aided Diagnosis of Mammographic
                                  Masses . . . . . . . . . . . . . . . . . 531
               Andreas Buja and   
          Sallie Keller-McNulty   Introduction to the Special Section on
                                  Massive Datasets . . . . . . . . . . . . 544
            William F. Eddy and   
            Mark Fitzgerald and   
       Christopher Genovese and   
               Nicole Lazar and   
              Audris Mockus and   
                   Joel Welling   The Challenge of Functional Magnetic
                                  Resonance Imaging  . . . . . . . . . . . 545
                   Gad Levy and   
                  Calton Pu and   
                Paul D. Sampson   Statistical, Physical, and Computational
                                  Aspects of Massive Data Analysis and
                                  Assimilation in Atmospheric Applications 559
                 Ralph Kahn and   
                  Amy Braverman   What Shall We Do With the Data We Are
                                  Expecting From Upcoming Earth
                                  Observation Satellites?  . . . . . . . . 575
            Usama M. Fayyad and   
                 Padhraic Smyth   Cataloging and Mining Massive Datasets
                                  for Science Data Analysis  . . . . . . . 589
              Allen A. Mcintosh   Analyzing Telephone Network Data . . . . 611
               Colin R. Goodall   Data Mining of Massive Datasets in
                                  Healthcare . . . . . . . . . . . . . . . 620
                 Peter J. Huber   Massive Datasets Workshop: Four Years
                                  After  . . . . . . . . . . . . . . . . . 635
         Alessandra R. Brazzale   Approximate Conditional Inference in
                                  Logistic and Loglinear Models  . . . . . 653
                Steven L. Scott   Bayesian Analysis of a Two-State Markov
                                  Modulated Poisson Process  . . . . . . . 662

Journal of Computational and Graphical Statistics
Volume 8, Number 4, December, 1999

          Robert Tibshirani and   
                   Keith Knight   Model Search by Bootstrap ``Bumping''    671
                        Wei Pan   Bootstrapping Likelihood for Model
                                  Selection With Small Samples . . . . . . 687
       Andreas F. Ruckstuhl and   
                  Alan H. Welsh   Reference Bands for Nonparametrically
                                  Estimated Link Functions . . . . . . . . 699
            Jean D. Opsomer and   
                  David Ruppert   A Root-$n$ Consistent Backfitting
                                  Estimator for Semiparametric Additive
                                  Modeling . . . . . . . . . . . . . . . . 715
                 Edwin Choi and   
                     Peter Hall   Nonparametric Approach to Analysis of
                                  Space-Time Data on Earthquake
                                  Occurrences  . . . . . . . . . . . . . . 733
                     Yan Yu and   
                  Diane Lambert   Fitting Trees to Functional Data, With
                                  an Application to Time-of-Day Patterns   749
              Carlo Grillenzoni   Adaptive Tests for Changing Unit Roots
                                  in Nonstationary Time Series . . . . . . 763
                Hemant Ishwaran   Applications of Hybrid Monte Carlo to
                                  Bayesian Generalized Linear Models:
                                  Quasicomplete Separation and Neural
                                  Networks . . . . . . . . . . . . . . . . 779
                   Wei Shen and   
                Thomas A. Louis   Empirical Bayes Estimation via the
                                  Smoothing by Roughening Approach . . . . 800
         Fabio Gagliardi Cozman   Calculation of Posterior Bounds Given
                                  Convex Sets of Prior Probability
                                  Measures and Likelihood Functions  . . . 824
                 Joan Z. Yu and   
               Martin A. Tanner   An Analytical Study of Several Markov
                                  Chain Monte Carlo Estimators of the
                                  Marginal Likelihood  . . . . . . . . . . 839
                 Pentti Paatero   The Multilinear Engine --- a
                                  Table-Driven, Least Squares Program for
                                  Solving Multilinear Problems, Including
                                  the $n$-Way Parallel Factor Analysis
                                  Model  . . . . . . . . . . . . . . . . . 854
                Thaddeus Tarpey   Self-Consistency Algorithms  . . . . . . 889
                Bruno Falissard   Focused Principal Component Analysis:
                                  Looking at a Correlation Matrix With a
                                  Particular Interest in a Given Variable  906


Journal of Computational and Graphical Statistics
Volume 9, Number 1, March, 2000

              Kenneth Lange and   
            David R. Hunter and   
                    Ilsoon Yang   Optimization Transfer Using Surrogate
                                  Objective Functions  . . . . . . . . . . 1
               Henk A. L. Kiers   Discussion: Optimization Transfer Using
                                  Surrogate Objective Functions  . . . . . 21
                Jan Deleeuw and   
             George Michailidis   Discussion: Optimization Transfer Using
                                  Surrogate Objective Functions  . . . . . 26
                   Ying Nian Wu   Discussion: Optimization Transfer Using
                                  Surrogate Objective Functions  . . . . . 32
                   Xiao Li Meng   Discussion: Optimization Transfer Using
                                  Surrogate Objective Functions  . . . . . 35
      Patrick J. F. Groenen and   
               Willem J. Heiser   Discussion: Optimization Transfer Using
                                  Surrogate Objective Functions  . . . . . 44
            David R. Hunter and   
              Kenneth Lange and   
                       Articles   Rejoinder: Optimization Transfer Using
                                  Surrogate Objective Functions  . . . . . 52
            David R. Hunter and   
                  Kenneth Lange   Quantile Regression via an MM Algorithm  60
               David A. Van Dyk   Fitting Mixed-Effects Models Using
                                  Efficient EM-Type Algorithms . . . . . . 78
       Steven N. Maceachern and   
                 Mario Peruggia   Importance Link Function Estimation for
                                  Markov Chain Monte Carlo Methods . . . . 99
                 Clemens Biller   Adaptive Bayesian Regression Splines in
                                  Semiparametric Generalized Linear Models 122
      Stephen W. Raudenbush and   
               Meng-Li Yang and   
                  Matheos Yosef   Maximum Likelihood for Generalized
                                  Linear Models With Nested Random Effects
                                  via High-Order, Multivariate Laplace
                                  Approximation  . . . . . . . . . . . . . 141
               Michael Friendly   Note on ``Obtaining the Maximum
                                  Likelihood Estimates in Incomplete $R
                                  \times C$ Contingency Tables Using a
                                  Poisson Generalized Linear Model'' . . . 158
            Sucharita Ghosh and   
                      Jan Beran   Two-Sample $T_3$ Plot: a Graphical
                                  Comparison of Two Distributions  . . . . 167
       Stephan Morgenthaler and   
                  John W. Tukey   Fitting Quantiles: Doubling, HR, HQ, and
                                  HHH Distributions  . . . . . . . . . . . 180
            Gordon K. Smyth and   
             Douglas M. Hawkins   Robust Frequency Estimation Using
                                  Elemental Sets . . . . . . . . . . . . . 196
                 Peter J. Huber   Languages for Statistics and Data
                                  Analysis . . . . . . . . . . . . . . . . 600

Journal of Computational and Graphical Statistics
Volume 9, Number 3, September, 2000

                 Scandreas Buja   Introduction: Special Issue on Systems
                                  and Languages  . . . . . . . . . . . . . 403
               John M. Chambers   Users, Programmers, and Statistical
                                  Software . . . . . . . . . . . . . . . . 404
             Duncan Temple Lang   The Omegahat Environment: New
                                  Possibilities for Statistical Computing  423
           Robert Gentleman and   
                     Ross Ihaka   Java and Dylan . . . . . . . . . . . . . 452
                   Luke Tierney   Connecting Lisp-Stat to COM  . . . . . . 459
           Robert Gentleman and   
                     Ross Ihaka   Lexical Scope and Statistical Computing  491
           Peter Sutherland and   
            Anthony Rossini and   
              Thomas Lumley and   
         Nicholas Lewin-Koh and   
            Julie Dickerson and   
                   Zach Cox and   
                    Dianne Cook   Orca: a Visualization Toolkit for
                                  High-Dimensional Data  . . . . . . . . . 509
           Leland Wilkinson and   
             Daniel J. Rope and   
             Daniel B. Carr and   
               Matthew A. Rubin   The Language of Graphics . . . . . . . . 530
                Graham J. Wills   Natural Selection: Interactive Subset
                                  Creation . . . . . . . . . . . . . . . . 544
            Catherine B. Hurley   Graphical Selection of Data Views  . . . 558
               Paul Murrell and   
                     Ross Ihaka   An Approach to Providing Mathematical
                                  Annotation in Plots  . . . . . . . . . . 582
            Jurgen Symanzik and   
                Dianne Cook and   
         Nicholas Lewin-Koh and   
            James J. Majure and   
               Inna Megretskala   Linking ArcView(TM) and XGobi: Insight
                                  Behind the FrontEnd  . . . . . . . . . . ??

Journal of Computational and Graphical Statistics
Volume 9, Number 4, December, 2000

           Alexandre Bureau and   
            James P. Hughes and   
            Stephen C. Shiboski   An S-Plus Implementation of Hidden
                                  Markov Models in Continuous Time . . . . 621
                  Peter D. Hoff   Constrained Nonparametric Maximum
                                  Likelihood via Mixtures  . . . . . . . . 633
        Muhammad Jalaluddin and   
             Michael R. Kosorok   An Algorithm for Robust Inference for
                                  the Cox Model With Frailties . . . . . . 642
                 Ilya Gluhovsky   Cluster Analysis for Large Datasets: An
                                  Effective Algorithm for Maximizing the
                                  Mixture Likelihood . . . . . . . . . . . 653
          Daniel A. Coleman and   
              David L. Woodruff   Image Restoration Using Modifications of
                                  Simulated Annealing  . . . . . . . . . . 672
            Ian T. Jolliffe and   
                 Mudassir Uddin   The Simplified Component Technique: An
                                  Alternative to Rotated Principal
                                  Components . . . . . . . . . . . . . . . 689
       Fernando A. Quintana and   
              Michael A. Newton   Computational Aspects of Nonparametric
                                  Bayesian Analysis With Applications to
                                  the Modeling of Multiple Binary
                                  Sequences  . . . . . . . . . . . . . . . 711
              Thomas Lumley and   
               Patrick Heagerty   Graphical Exploratory Analysis of
                                  Survival Data  . . . . . . . . . . . . . 738
              A. C. Davison and   
                       S. Sardy   The Partial Scatterplot Matrix . . . . . 750
               Ofra Barnett and   
                    Ayala Cohen   The Histogram and Boxplot for the
                                  Display of Lifetime Data . . . . . . . . 759
           Paola Sebastiani and   
                   Marco Ramoni   Bayesian Inference With Missing Data
                                  Using Bound and Collapse . . . . . . . . 779
                      Anonymous   Editorial Collaborators  . . . . . . . . 801


Journal of Computational and Graphical Statistics
Volume 10, Number 1, March, 2001

              Richard A. Levine   Discussion: The Art of Data
                                  Argumentation  . . . . . . . . . . . . . 51
                James P. Hobert   Discussion: The Art of Data
                                  Argumentation  . . . . . . . . . . . . . 59
                    Dave Higdon   Discussion: The Art of Data
                                  Argumentation  . . . . . . . . . . . . . 69
                   Chuanhai Liu   Discussion: The Art of Data
                                  Argumentation  . . . . . . . . . . . . . 75
             Gabriel Huerta and   
               Wenxin Jiang and   
               Martin A. Tanner   Discussion: The Art of Data
                                  Argumentation  . . . . . . . . . . . . . 82
               Ying Nian Wu and   
                  Song Chun Zhu   Discussion: The Art of Data
                                  Argumentation  . . . . . . . . . . . . . 90
            Antonietta Mira and   
                 Peter J. Green   Discussion: The Art of Data
                                  Argumentation  . . . . . . . . . . . . . 94
           David A. Van Dyk and   
                   Xiao-Li Meng   Rejoinder: The Art of Data Argumentation 98
                Bradon Whitcher   Simulating Gaussian Stationary Processes
                                  With Unbounded Spectra . . . . . . . . . 112
             Karen V. Shane and   
            Jeffrey S. Simonoff   A Robust Approach to Categorical Data
                                  Analysis . . . . . . . . . . . . . . . . 135
                Sankar Basu and   
       Charles A. Micchelli and   
                    Peder Olsen   Power Exponential Densities for the
                                  Training and Classification of Acoustic
                                  Feature Vectors in Speech Recognition    158

Journal of Computational and Graphical Statistics
Volume 10, Number 2, June, 2001

                James P. Hobert   Stability Relationships Among the Gibbs
                                  Sampler and its Subchains  . . . . . . . 185
                Paul Damien and   
              Stephen G. Walker   Sampling Truncated Normal, Beta, and
                                  Gamma Densities  . . . . . . . . . . . . 206
          Gareth O. Roberts and   
                  Sujit K. Sahu   Approximate Predetermined Convergence
                                  Properties of the Gibbs Sampler  . . . . 216
               Simon J. Godsill   On the Relationship Between Markov Chain
                                  Monte Carlo Methods for Model
                                  Uncertainty  . . . . . . . . . . . . . . 230
    José C. Pinheiro and   
               Chuanhai Liu and   
                   Ying Nian Wu   Efficient Algorithms for Robust
                                  Estimation in Linear Mixed-Effects
                                  Models Using the Multivariate $t$
                                  Distribution . . . . . . . . . . . . . . 249
                 Wen-Hua Ju and   
                   Yehuda Vardi   A Hybrid High-Order Markov Chain Model
                                  for Computer Intrusion Detection . . . . 277
           Daniel Q. Naiman and   
                Carey E. Priebe   Computing Scan Statistic $p$ Values
                                  Using Importance Sampling, With
                                  Applications to Genetics and Medical
                                  Image Analysis . . . . . . . . . . . . . 296
                Eirik Fossgaard   Alternative Local Discriminant Bases
                                  Using Empirical Expectation and Variance
                                  Estimation . . . . . . . . . . . . . . . 329
                    S. P. Smith   Likelihood-Based Analysis of Linear
                                  State-Space Models Using the Cholesky
                                  Decomposition  . . . . . . . . . . . . . 350
             Xavier de Luna and   
                 Marc G. Genton   Robust Simulation-Based Estimation of
                                  ARMA Models  . . . . . . . . . . . . . . 388
            Piet Groeneboom and   
                 Jon A. Wellner   Computing Chernoff's Distribution  . . . 388

Journal of Computational and Graphical Statistics
Volume 10, Number 3, September, 2001

               R. Gentleman and   
                   A. C. Vandal   Computational Algorithms for
                                  Censored-Data Problems Using
                                  Intersection Graphs  . . . . . . . . . . 403
          Richard A. Levine and   
                 George Casella   Implementations of the Monte Carlo EM
                                  Algorithm  . . . . . . . . . . . . . . . 422
              Michael Wiper and   
           David Rios Insua and   
               Fabrizio Ruggeri   Mixtures of Gamma Distributions With
                                  Applications . . . . . . . . . . . . . . 440
                 Kewei Ming and   
              Paul R. Rosenbaum   A Note on Optimal Matching With Variable
                                  Controls Using the Assignment Algorithm  455
                Christian Posse   Hierarchical Model-Based Clustering for
                                  Large Datasets . . . . . . . . . . . . . 464
            Christopher Raphael   A Probabilistic Expert System for
                                  Automatic Musical Accompaniment  . . . . 487
                Marco Riani and   
            Anthony C. Atkinson   A Unified Approach to Outliers, Inuence,
                                  and Transformations in Discriminant
                                  Analysis . . . . . . . . . . . . . . . . 513
            Andrew J. Smith and   
                John Nelder and   
               Andreas Buja and   
                Zahid Malik and   
               Lisa Tweedie and   
                  Robert Spence   Sampling Schemes for Model Visualization 545
             A. W. Marshall and   
                 J. C. Meza and   
                       I. Olkin   Can Data Recognize Its Parent
                                  Distribution?  . . . . . . . . . . . . . 555
                   Chong Gu and   
                     Dong Xiang   Cross-Validating Non-Gaussian Data:
                                  Generalized Approximate Cross-Validation
                                  Revisited  . . . . . . . . . . . . . . . 581
                 Peter Hall and   
              Li-Shan Huang and   
           James A. Gifford and   
                  Irene Gijbels   Nonparametric Estimation of Hazard Rate
                                  Under the Constraint of Monotonicity . . 592
                      Anonymous   Correction . . . . . . . . . . . . . . . 615
                      Anonymous   Recent Publications in \booktitleJSS . . 616

Journal of Computational and Graphical Statistics
Volume 10, Number 4, December, 2001

                    Iain Pardoe   A Bayesian Sampling Approach to
                                  Regression Model Checking  . . . . . . . 617
                  Heike Hofmann   Generalized Odds Ratios for Visual
                                  Modeling . . . . . . . . . . . . . . . . 628
              Peter Karcher and   
                   Yuedong Wang   Generalized Nonparametric Mixed Effects
                                  Models . . . . . . . . . . . . . . . . . 641
         Stijn Vansteelandt and   
                Els Goetghebeur   Analyzing the Sensitivity of Generalized
                                  Linear Models to Incomplete Outcomes via
                                  the IDE Algorithm  . . . . . . . . . . . 656--672
         Finbarr O'Sullivan and   
         Kingshuk Roy Choudhury   An Analysis of the Role of Positivity
                                  and Mixture Model Constraints in Poisson
                                  Deconvolution Problems . . . . . . . . . 673--696
              Gilles Celeux and   
Stéphane Chrétien and   
            Florence Forbes and   
               Abdallah Mkhadri   A Component-Wise EM Algorithm for
                                  Mixtures . . . . . . . . . . . . . . . . 697--712
          Jaroslaw Harezlak and   
               Nancy E. Heckman   CriSP: a Tool for Bump Hunting . . . . . 713--729
             Brian S. Caffo and   
                 James G. Booth   A Markov Chain Monte Carlo Algorithm for
                                  Approximating Exact Conditional
                                  Probabilities  . . . . . . . . . . . . . 730--745
               Moody T. Chu and   
        Nickolay T. Trendafilov   The Orthogonally Constrained Regression
                                  Revisited  . . . . . . . . . . . . . . . 746--771
             Tae Young Yang and   
                       Lynn Kuo   Bayesian Binary Segmentation Procedure
                                  for a Poisson Process with Multiple
                                  Changepoints . . . . . . . . . . . . . . 772--785
              W. John Braun and   
                     Peter Hall   Data Sharpening for Nonparametric
                                  Inference Subject to Constraints . . . . 786--805


Journal of Computational and Graphical Statistics
Volume 11, Number 1, March, 2002

             F. Godtliebsen and   
               J. S. Marron and   
               Probal Chaudhuri   Significance in Scale Space for
                                  Bivariate Density Estimation . . . . . . 1
            Stephen G. Eick and   
                   Alan F. Karr   Visual Scalability . . . . . . . . . . . 22
                  Amy Braverman   Compressing Massive Geophysical Datasets
                                  Using Vector Quantization  . . . . . . . 44
           Hsin-Cheng Huang and   
               Noel Cressie and   
                  John Gabrosek   Fast, Resolution-Consistent Spatial
                                  Prediction of Global Processes From
                                  Satellite Data . . . . . . . . . . . . . 63
               Michael Friendly   A Brief History of the Mosaic Display    89
               Yee Hwa Yang and   
         Michael J. Buckley and   
            Sandrine Dudoit and   
               Terence P. Speed   Comparison of Methods for Image Analysis
                                  on cDNA Microarray Data  . . . . . . . . 108
           Edward J. Wegman and   
                      Qiang Luo   On Methods of Computer Graphics for
                                  Visualizing Densities  . . . . . . . . . 137
           Edward J. Wegman and   
           Jürgen Symanzik   Immersive Projection Technology for
                                  Visual Data Mining . . . . . . . . . . . 163
            Eric T. Bradlow and   
         Bruce G. S. Hardie and   
                 Peter S. Fader   Bayesian Inference for the Negative
                                  Binomial Distribution via Polynomial
                                  Expansions . . . . . . . . . . . . . . . 189
          Philip J. Everson and   
                Eric T. Bradlow   Bayesian Inference for the Beta-Binomial
                                  Distribution via Polynomial Expansions   202
           Efthymios G. Tsionas   Bayesian Inference in the Noncentral
                                  Student-$t$ Model  . . . . . . . . . . . 208
              Herbert K. H. Lee   Difficulties in Estimating the
                                  Normalizing Constant of the Posterior
                                  for a Neural Network . . . . . . . . . . 222
        Marcelo C. Medeiros and   
               Alvaro Veiga and   
         Mauricio G. C. Resende   A Combinatorial Approach to Piecewise
                                  Linear Time Series Analysis  . . . . . . 236
                      Anonymous   Recent Publications in \booktitleJSS . . 259

Journal of Computational and Graphical Statistics
Volume 11, Number 2, June, 2002

            Daniel A. Bloch and   
          Richard A. Olshen and   
              Michael G. Walker   Risk Estimation for Classification Trees 263
            Alan E. Gelfand and   
              Athanasios Kottas   A Computational Approach for Full
                                  Nonparametric Bayesian Inference Under
                                  Dirichlet Process Mixture Models . . . . 289
       Alessandra Guglielmi and   
            Chris C. Holmes and   
              Stephen G. Walker   Perfect Simulation Involving Functionals
                                  of a Dirichlet Process . . . . . . . . . 306
                Canan Bilen and   
                  S. Huzurbazar   Wavelet-Based Detection of Outliers in
                                  Time Series  . . . . . . . . . . . . . . 311
                       Hong Ooi   Density Visualization and Mode Hunting
                                  Using Trees  . . . . . . . . . . . . . . 328
          Stephen P. Ellner and   
                    Yodit Seifu   Using Spatial Statistics to Select Model
                                  Complexity . . . . . . . . . . . . . . . 348
                 Ian Dryden and   
             Luigi Ippoliti and   
                 Luca Romagnoli   Adjusted Maximum Likelihood and
                                  Pseudo-Likelihood Estimation for Noisy
                                  Gaussian Markov Random Fields  . . . . . 370
            Jake D. Brutlag and   
           Thomas S. Richardson   A Block Sampling Approach to Distinct
                                  Value Estimation . . . . . . . . . . . . 389
                   R. Rocci and   
                        G. Bove   Rotation Techniques in Asymmetric
                                  Multidimensional Scaling . . . . . . . . 405
             Michael Parzen and   
             Stuart Lipsitz and   
             Joseph Ibrahim and   
                      Neil Klar   An Estimate of the Odds Ratio That
                                  Always Exists  . . . . . . . . . . . . . 420
          Joseph L. Schafer and   
                 Recai M. Yucel   Computational Strategies for
                                  Multivariate Linear Mixed-Effects Models
                                  With Missing Values  . . . . . . . . . . 437
                  Hans J. Skaug   Automatic Differentiation to Facilitate
                                  Maximum Likelihood Estimation in
                                  Nonlinear Random Effects Models  . . . . 458
                 Alan D. Hutson   ``Exact'' Bootstrap Confidence Bands for
                                  the Quantile Function via Steck's
                                  Determinant  . . . . . . . . . . . . . . 471
                      Anonymous   Recent Publications in \booktitleJSS . . 483

Journal of Computational and Graphical Statistics
Volume 11, Number 3, September, 2002

        Jennifer A. Hoeting and   
          Adrian E. Raftery and   
                  David Madigan   Bayesian Variable and Transformation
                                  Selection in Linear Regression . . . . . 485
            Hemant Ishwaran and   
              Lancelot F. James   Approximate Dirichlet Process Computing
                                  in Finite Normal Mixtures: Smoothing and
                                  Prior Information  . . . . . . . . . . . 508
               C. C. Holmes and   
           D. G. T. Denison and   
                  B. K. Mallick   Accounting for Model Uncertainty in
                                  Seemingly Unrelated Regressions  . . . . 533
               Xiao-Li Meng and   
              Stephen Schilling   Warp Bridge Sampling . . . . . . . . . . 552
               Michael L. Stein   Fast and Exact Simulation of Fractional
                                  Brownian Surfaces  . . . . . . . . . . . 587
                Denis White and   
                Jean C. Sifneos   Regression Tree Cartography  . . . . . . 600
               Jennifer Pittman   Adaptive Splines and Genetic Algorithms  615
        Douglas B. Clarkson and   
                     Yihui Zhan   Using Spherical-Radial Quadrature to Fit
                                  Generalized Linear Mixed Effects Models  639
                L. K. Jones and   
                   P. J. O'Neil   On Markov Chain Monte Carlo Algorithms
                                  for Computing Conditional Expectations
                                  Based on Sufficient Statistics . . . . . 660
         Theodore C. Lystig and   
                James P. Hughes   Exact Computation of the Observed
                                  Information Matrix for Hidden Markov
                                  Models . . . . . . . . . . . . . . . . . 678
                  Jan Beran and   
                   Yuanhua Feng   Iterative Plug-In Algorithms for SEMIFAR
                                  Models --- Definition, Convergence, and
                                  Asymptotic Properties  . . . . . . . . . 690
             Jian-Shen Chen and   
             Robert I. Jennrich   Simple Accurate Approximation of
                                  Likelihood Profiles  . . . . . . . . . . 714
                      Anonymous   Recent Publications in \booktitleJSS . . 733

Journal of Computational and Graphical Statistics
Volume 11, Number 4, December, 2002

                  David Ruppert   Selecting the Number of Knots for
                                  Penalized Splines  . . . . . . . . . . . 735
          Paul H. C. Eilers and   
                  Brian D. Marx   Generalized Linear Additive Smooth
                                  Structures . . . . . . . . . . . . . . . 758
                     T. Cai and   
              R. J. Hyndman and   
                     M. P. Wand   Mixed Model-Based Hazard Estimation  . . 784
                     Peihua Qiu   A Nonparametric Procedure to Detect
                                  Jumps in Regression Surfaces . . . . . . 799
               Tae Yoon Kim and   
             Jeong Soo Park and   
                  Dennis D. Cox   Fast Algorithm for Cross-Validation of
                                  the Best Linear Unbiased Predictor . . . 823
                Gordon K. Smyth   An Efficient Algorithm for REML in
                                  Heteroscedastic Regression . . . . . . . 836
                 Paul Fearnhead   Markov Chain Monte Carlo, Sufficient
                                  Statistics, and Particle Filters . . . . 848
            Nicole A. Lazar and   
               Joseph B. Kadane   Movies for the Visualization of MCMC
                                  Output . . . . . . . . . . . . . . . . . 863
                   John Fox and   
               Robert Stine and   
            Georges Monette and   
                    Neeru Vohra   Detecting Clusters and Nonlinearity in
                                  Three-Dimensional Dynamic Graphs . . . . 875
            Omer F. Demirel and   
            Thomas R. Willemain   A Turing Test of Bootstrap Scenarios . . 896
                  Xiaomi Hu and   
                  Hari Mukerjee   Constructing All Extremes of Contingency
                                  Tables With Given Marginals  . . . . . . 910
             H. I. Gassmann and   
             I. Deák and   
              T. Szántai   Computing Multivariate Normal
                                  Probabilities: a New Look  . . . . . . . 920
                  Alan Genz and   
                    Frank Bretz   Comparison of Methods for the
                                  Computation of Multivariate $t$
                                  Probabilities  . . . . . . . . . . . . . 950
                 Hermann Singer   Parameter Estimation of Nonlinear
                                  Stochastic Differential Equations:
                                  Simulated Maximum Likelihood versus
                                  Extended Kalman Filter and Itô-Taylor
                                  Expansion  . . . . . . . . . . . . . . . 972
                      Anonymous   Recent Publications in \booktitleJSS . . 996


Journal of Computational and Graphical Statistics
Volume 12, Number 1, March, 2003

               S. P. Brooks and   
                 P. Giudici and   
                    A. Philippe   Nonparametric Convergence Assessment for
                                  MCMC Model Selection . . . . . . . . . . 1
                   Paul Yau and   
                Robert Kohn and   
                     Sally Wood   Bayesian Variable Selection and Model
                                  Averaging in High-Dimensional
                                  Multinomial Nonparametric Regression . . 23
              Merrilee Hurn and   
                 Ana Justel and   
            Christian P. Robert   Estimating Mixtures of Regressions . . . 55
           Forrest W. Young and   
          Pedro Valero-Mora and   
       Richard A. Faldowski and   
                  Carla M. Bann   Gossip: The Architecture of SpreadPlots  80
                     Mu Zhu and   
               Trevor J. Hastie   Feature Extraction for Nonparametric
                                  Discriminant Analysis  . . . . . . . . . 101
               R. J. Bolton and   
               W. J. Krzanowski   Projection Pursuit Clustering for
                                  Exploratory Data Analysis  . . . . . . . 121
              Rituparna Sen and   
                 Mark H. Hansen   Predicting Web Users' Next Access Based
                                  on Log Data  . . . . . . . . . . . . . . 143
          Terry M. Therneau and   
       Patricia M. Grambsch and   
              V. Shane Pankratz   Penalized Survival Models and Frailty    156
       Göran Kauermann and   
                   Gerhard Tutz   Semi- and Nonparametric Modeling of
                                  Ordinal Data . . . . . . . . . . . . . . 176
             Satoshi Miyata and   
                  Xiaotong Shen   Adaptive Free-Knot Splines . . . . . . . 197
              Wolfgang Jank and   
                    James Booth   Efficiency of Monte Carlo EM and
                                  Simulated Maximum Likelihood in
                                  Two-Stage Hierarchical Models  . . . . . 214
          Roberto Leon-Gonzalez   A Panel Data Simultaneous Equation Model
                                  With a Dependent Categorical Variable
                                  and Selectivity  . . . . . . . . . . . . 230
                      Anonymous   Recent Publications in \booktitleJSS . . 243

Journal of Computational and Graphical Statistics
Volume 12, Number 2, June, 2003

               Murali Haran and   
            James S. Hodges and   
              Bradley P. Carlin   Accelerating Computation in Markov
                                  Random Field Models for Spatial Data via
                                  Structured MCMC  . . . . . . . . . . . . 249
                  Mary C. Meyer   An Evolutionary Algorithm With
                                  Applications to Statistics . . . . . . . 265
                  Hani Doss and   
                 Fred W. Huffer   Monte Carlo Methods for Bayesian
                                  Analysis of Survival Data Using Mixtures
                                  of Dirichlet Process Priors  . . . . . . 282
              Luisa Scaccia and   
                 Peter J. Green   Bayesian Growth Curves Using Normal
                                  Mixtures With Nonparametric Weights  . . 308
            Ramani S. Pilla and   
                   Peng Tao and   
                Carey E. Priebe   Adaptive Methods for Spatial Scan
                                  Analysis via Semiparametric Mixture
                                  Models . . . . . . . . . . . . . . . . . 332
                Tom Duchamp and   
                Werner Stuetzle   Spline Smoothing on Surfaces . . . . . . 354
               R. L. Eubank and   
             Chunfeng Huang and   
                    Suojin Wang   Adaptive Order Selection for Spline
                                  Smoothing  . . . . . . . . . . . . . . . 382
           Petra M. Kuhnert and   
               Kerrie Mengersen   Reliability Measures for Local Nodes
                                  Assessment in Classification Trees . . . 398
        Reginaldo J. Santos and   
     Álvaro R. De Pierro   A Cheaper Way to Compute Generalized
                                  Cross-Validation as a Stopping Rule for
                                  Linear Stationary Iterative Methods  . . 417
Luis Angel García-Escudero and   
          Alfonso Gordaliza and   
           Carlos Matrán   Trimming Tools in Exploratory Data
                                  Analysis . . . . . . . . . . . . . . . . 434
         Allan D. McQuarrie and   
                 Chih-Ling Tsai   Outlier Detections in Autoregressive
                                  Models . . . . . . . . . . . . . . . . . 450
                      Anonymous   Recent Publications in \booktitleJSS . . 472

Journal of Computational and Graphical Statistics
Volume 12, Number 3, September, 2003

             Ingo Ruczinski and   
         Charles Kooperberg and   
                Michael Leblanc   Logic Regression . . . . . . . . . . . . 475
              Hyunjoong Kim and   
                    Wei-Yin Loh   Classification Trees With Bivariate
                                  Linear Discriminant Node Models  . . . . 512
            Ian T. Jolliffe and   
    Nickolay T. Trendafilov and   
                 Mudassir Uddin   A Modified Principal Component Technique
                                  Based on the LASSO . . . . . . . . . . . 531
                  Peter J. Lenk   Bayesian Semiparametric Density
                                  Estimation and Model Verification Using
                                  a Logistic-Gaussian Process  . . . . . . 548
       Anthony E. Brockwell and   
               Joseph B. Kadane   A Gridding Method for Bayesian
                                  Sequential Decision Problems . . . . . . 566
                Kenneth J. Ryan   Estimating Expected Information Gains
                                  for Experimental Designs With
                                  Application to the Random Fatigue-Limit
                                  Model  . . . . . . . . . . . . . . . . . 585
             Yann Guédon   Estimating Hidden Semi-Markov Chains
                                  From Discrete Sequences  . . . . . . . . 604
                      Yi Li and   
                Louise Ryan and   
           Scarlett Bellamy and   
                 Glen A. Satten   Inference on Clustered Survival Data
                                  Using Imputed Frailties  . . . . . . . . 640
                   Il Do Ha and   
                    Youngjo Lee   Estimating Frailty Models via Poisson
                                  Hierarchical Generalized Linear Models   663
             Ruggero Bellio and   
         Alessandra R. Brazzale   Higher Order Asymptotics Unleashed:
                                  Software Design for Nonlinear
                                  Heteroscedastic Regression . . . . . . . 682
                      Hao Zhang   Optimal Interpolation and the
                                  Appropriateness of Cross-Validating
                                  Variogram in Spatial Generalized Linear
                                  Mixed Models . . . . . . . . . . . . . . 698
       Henry Horng-Shing Lu and   
               Su-Yun Huang and   
                  Fang-Jiun Lin   Generalized Cross-Validation for Wavelet
                                  Shrinkage in Nonparametric Mixed Effects
                                  Models . . . . . . . . . . . . . . . . . 714
                 H. I. Gassmann   Multivariate Normal Probabilities:
                                  Implementing an Old Idea of Plackett's   731

Journal of Computational and Graphical Statistics
Volume 12, Number 4, December, 2003

                 David W. Scott   Editorial  . . . . . . . . . . . . . . . 757--758
              Amy Braverman and   
                Eric Fetzer and   
          Annmarie Eldering and   
              Silvia Nittel and   
                   Kelvin Leung   Semi-Streaming Quantization for Remote
                                  Sensing Data . . . . . . . . . . . . . . 759--780
            Timothy J. Hoar and   
           Ralph F. Milliff and   
             Douglas Nychka and   
       Christopher K. Wikle and   
               L. Mark Berliner   Winds from a Bayesian Hierarchical Model 781--807
             Bruce Knuteson and   
                    Paul Padley   Statistical Challenges with Massive
                                  Datasets in Particle Physics . . . . . . 808--828
           Andrew M. Fraser and   
      Nicolas W. Hengartner and   
             Kevin R. Vixie and   
              Brent E. Wohlberg   Classification Modulo Invariance, With
                                  Application to Face Recognition  . . . . 829--852
               John F. Elder IV   The Generalization Paradox of Ensembles  853--864
                    Jin Cao and   
       William S. Cleveland and   
                     Don X. Sun   The $S$-Net System for Internet Packet
                                  Streams  . . . . . . . . . . . . . . . . 865--892
           Edward J. Wegman and   
             David J. Marchette   On Some Techniques for Streaming Data    893--914
               Paul Whitney and   
                 Dennis Cox and   
                   Don Daly and   
            J. McLean Sloughter   Toward the Routine Analysis of Diverse
                                  Data Types . . . . . . . . . . . . . . . 915--926
                     Lee Rhodes   A Stream Processor for Extracting Usage
                                  Intelligence From High-Momentum Internet
                                  Data . . . . . . . . . . . . . . . . . . 927--944
             Pedro Domingos and   
                   Geoff Hulten   A General Framework for Mining Massive
                                  Data Streams . . . . . . . . . . . . . . 945--949
             Corinna Cortes and   
             Daryl Pregibon and   
                 Chris Volinsky   Computational Methods for Dynamic Graphs 950--970
                      Anonymous   Editorial Collaborators  . . . . . . . . 971--974
                      Anonymous   Recent Publications in \booktitleJSS . . 975--976


Journal of Computational and Graphical Statistics
Volume 13, Number 1, March, 2004

                  Alan Gous and   
                   Andreas Buja   Visual Comparison of Datasets Using
                                  Mixture Decompositions . . . . . . . . . 1--19
                  Leonhard Held   Simultaneous Posterior Probability
                                  Statements From Monte Carlo Output . . . 20--35
    Marta García Ben and   
         Víctor J. Yohai   Quantile--Quantile Plot for Deviance
                                  Residuals in the Generalized Linear
                                  Model  . . . . . . . . . . . . . . . . . 36--47
           Michael Elashoff and   
                    Louise Ryan   An EM Algorithm for Estimating Equations 48--65
Göran Kauermann J. D. Opsomer   Generalized Cross-Validation for
                                  Bandwidth Selection of Backfitting
                                  Estimates in Generalized Additive Models 66--89
              Serge Iovleff and   
                 Olivier Perrin   Estimating a Nonstationary Spatial
                                  Structure Using Simulated Annealing  . . 90--105
         Charles Kooperberg and   
               Charles J. Stone   Comparison of Parametric and Bootstrap
                                  Approaches to Obtaining Confidence
                                  Intervals for Logspline Density
                                  Estimation . . . . . . . . . . . . . . . 106--122
                 Ying Zhang and   
             Mortaza Jamshidian   On Algorithms for the Nonparametric
                                  Maximum Likelihood Estimator of the
                                  Failure Function With Censored Data  . . 123--140
              David J. Nott and   
                 Peter J. Green   Bayesian Variable Selection and the
                                  Swendsen--Wang Algorithm . . . . . . . . 141--157
                 Sonia Jain and   
                Radford M. Neal   A Split-Merge Markov chain Monte Carlo
                                  Procedure for the Dirichlet Process
                                  Mixture Model  . . . . . . . . . . . . . 158--182
                Stefan Lang and   
                Andreas Brezger   Bayesian P-Splines . . . . . . . . . . . 183--212
       Fernando A. Quintana and   
              Peter Müller   Nonparametric Bayesian Assessment of the
                                  Order of Dependence for Binary Sequences 213--231
                   N. Friel and   
                  A. N. Pettitt   Likelihood Estimation and Inference for
                                  the Autologistic Model . . . . . . . . . 232--246
              A. J. Rossini and   
       Richard M. Heiberger and   
        Rodney A. Sparapani and   
        Martin Mächler and   
                    Kurt Hornik   Emacs Speaks Statistics  . . . . . . . . 247--261

Journal of Computational and Graphical Statistics
Volume 13, Number 2, June, 2004

            Jay M. Ver Hoef and   
               Noel Cressie and   
              Ronald Paul Barry   Flexible Spatial Models for Kriging and
                                  Cokriging Using Moving Averages and the
                                  Fast Fourier Transform (FFT) . . . . . . 265--282
              Sylvain Sardy and   
                     Paul Tseng   AMlet, RAMlet, and GAMlet  . . . . . . . 283--309
                Greet Pison and   
               Stefan Van Aelst   Diagnostic Plots for Robust Multivariate
                                  Methods  . . . . . . . . . . . . . . . . 310--329
              Kris Bogaerts and   
              Emmanuel Lesaffre   A New, Fast Algorithm to Find the
                                  Regions of Possible Support for
                                  Bivariate Interval-Censored Data . . . . 330--340
             Timothy Hanson and   
              Wesley O. Johnson   A Bayesian Semiparametric AFT Model for
                                  Interval-Censored Data . . . . . . . . . 341--361
              David J. Nott and   
                 Daniela Leonte   Sampling Schemes for Bayesian Variable
                                  Selection in Generalized Linear Models   362--382
       Daniela De Canditiis and   
                Brani Vidakovic   Wavelet Bayesian Block Shrinkage via
                                  Mixtures of Normal-Inverse Gamma Priors  383--398
              Sylvain Sardy and   
         Anestis Antoniadis and   
                     Paul Tseng   Automatic Smoothing With Wavelets for a
                                  Wide Class of Distributions  . . . . . . 399--421
                      Bo Lu and   
              Paul R. Rosenbaum   Optimal Pair Matching With Two Control
                                  Groups . . . . . . . . . . . . . . . . . 422--434
        Martin Mächler and   
            Peter Bühlmann   Variable Length Markov Chains  . . . . . 435--455
              Hans-Peter Piepho   An Algorithm for a Letter-Based
                                  Representation of All-Pairwise
                                  Comparisons  . . . . . . . . . . . . . . 456--466
           José Mira and   
             Ricardo Bolado and   
                   Pablo Solana   The Use of Dimensional and Similarity
                                  Analyses in the Propagation of
                                  Uncertainties  . . . . . . . . . . . . . 467--486
                  F. Jay Breidt   Simulation Estimation of Quantiles From
                                  a Distribution With Known Mean . . . . . 487--498
              Suntara Cahya and   
       Enrique Del Castillo and   
               John J. Peterson   Computation of Confidence Regions for
                                  Optimal Factor Levels in Constrained
                                  Response Surface Problems  . . . . . . . 499--518
          Lutz Dümbgen and   
                Robert B. Johns   Confidence Bands for Isotonic Median
                                  Curves Using Sign Tests  . . . . . . . . 519--533
                      Anonymous   Recent Publications in \booktitleJSS . . 534--536

Journal of Computational and Graphical Statistics
Volume 13, Number 3, September, 2004

                 Julian Faraway   Human Animation Using Nonparametric
                                  Regression . . . . . . . . . . . . . . . 537--553
              Xiangrong Yin and   
                 R. Dennis Cook   Dimension Reduction via Marginal Fourth
                                  Moments in Regression  . . . . . . . . . 554--570
     Hans-Georg Müller and   
                     Newton Wai   Change Trees and Mutagrams for the
                                  Visualization of Local Changes in
                                  Sequence Data  . . . . . . . . . . . . . 571--585
                Xiaogang Su and   
                Morgan Wang and   
                   Juanjuan Fan   Maximum Likelihood Regression Trees  . . 586--598
             Jussi Klemelä   Visualization of Multivariate Density
                                  Estimates With Level Set Trees . . . . . 599--620
           Piotr Fryzlewicz and   
                   Guy P. Nason   A Haar--Fisz Algorithm for Poisson
                                  Intensity Estimation . . . . . . . . . . 621--638
        Francesco Gabbanini and   
            Marina Vannucci and   
             Gianni Bartoli and   
                   Antonio Moro   Wavelet Packet Methods for the Analysis
                                  of Variance of Time Series With
                                  Application to Crack Widths on the
                                  Brunelleschi Dome  . . . . . . . . . . . 639--658
        Hervé Cardot and   
                Ja-Yong Koo and   
              Heon Jin Park and   
                  Alain Trubuil   Boosting Diracs for Electrophoresis  . . 659--673
          Ronny O. Vallejos and   
           Tomislav J. Mardesic   A Recursive Algorithm to Restore Images
                                  Based on Robust Estimation of NSHP
                                  Autoregressive Models  . . . . . . . . . 674--682
              Subharup Guha and   
       Steven N. MacEachern and   
                 Mario Peruggia   Benchmark Estimation for Markov chain
                                  Monte Carlo Samples  . . . . . . . . . . 683--701
             Ole F. Christensen   Monte Carlo Maximum Likelihood in
                                  Model-Based Geostatistics  . . . . . . . 702--718
                 Yanli Zhao and   
                Melanie M. Wall   Investigating the Use of the Variogram
                                  for Lattice Data . . . . . . . . . . . . 719--738
                 Paul Fearnhead   A Second-Order Approximation to the
                                  Log-Likelihood Surface for Mixture
                                  Models, With Application to the EM
                                  Algorithm  . . . . . . . . . . . . . . . 739--750
                      Anonymous   Recent Publications in \booktitleJSS . . 751--754

Journal of Computational and Graphical Statistics
Volume 13, Number 4, December, 2004

                  Andrew Gelman   Exploratory Data Analysis for Complex
                                  Models . . . . . . . . . . . . . . . . . 755--779
                   Andreas Buja   Discussion: Exploratory Data Analysis
                                  for Complex Models . . . . . . . . . . . 780--784
                  Andrew Gelman   Rejoinder: Exploratory Data Analysis for
                                  Complex Models . . . . . . . . . . . . . 785--787
            Catherine B. Hurley   Clustering Visualizations of
                                  Multidimensional Data  . . . . . . . . . 788--806
               Martha Nason and   
              Scott Emerson and   
                Michael LeBlanc   CARTscans  . . . . . . . . . . . . . . . 807--825
               Kin-Yee Chan and   
                    Wei-Yin Loh   LOTUS  . . . . . . . . . . . . . . . . . 826--852
                  Lei M. Li and   
               Terence P. Speed   Deconvolution of Sparse Positive Spikes  853--870
                 Ilya Gluhovsky   Evolutionary Simulated Annealing With
                                  Application to Image Restoration . . . . 871--885
Hana \vSev\vcíková   Statistical Simulations on Parallel
                                  Computers  . . . . . . . . . . . . . . . 886--906
            O. Cappé and   
                 A. Guillin and   
                J. M. Marin and   
                   C. P. Robert   Population Monte Carlo . . . . . . . . . 907--929
               Christian Hennig   Asymmetric Linear Dimension Reduction
                                  for Classification . . . . . . . . . . . 930--945
               Jan de Leeuw and   
             George Michailidis   Weber Correspondence Analysis  . . . . . 946--953
                 B. Ganguli and   
                     M. P. Wand   Feature Significance in Geostatistics    954--973
             Bruno de Sousa and   
             George Michailidis   A Diagnostic Plot for Estimating the
                                  Tail Index of a Distribution . . . . . . 974--995
                    G. Brys and   
                  M. Hubert and   
                      A. Struyf   A Robust Measure of Skewness . . . . . . 996--1017
                      Anonymous   Recent Publications in \booktitleJSS . . 1018--1019


Journal of Computational and Graphical Statistics
Volume 14, Number 1, March, 2005

             Michael W. Trosset   Visualizing Correlation  . . . . . . . . 1--19
                 Sam Efromovich   On Logarithmic Penalty in Adaptive
                                  Pointwise Estimation and Blockwise
                                  Wavelet Shrinkage  . . . . . . . . . . . 20--40
         Masha Kocherginsky and   
                  Xuming He and   
                     Yunming Mu   Practical Confidence Intervals for
                                  Regression Quantiles . . . . . . . . . . 41--55
     Odd Kolbjòrnsen and   
                   Henning Omre   Bayesian Inversion of Piecewise Affine
                                  Operators in a Gaussian Framework  . . . 56--74
 Chantal Guihenneuc-Jouyaux and   
                Judith Rousseau   Laplace Expansions in Markov chain Monte
                                  Carlo Algorithms . . . . . . . . . . . . 75--94
             Victor De Oliveira   Bayesian Inference and Prediction of
                                  Gaussian Random Fields Based on Censored
                                  Data . . . . . . . . . . . . . . . . . . 95--115
               Maria Kateri and   
              Anna Nicolaou and   
              Ioannis Ntzoufras   Bayesian Inference for the RC$(m)$
                                  Association Model  . . . . . . . . . . . 116--138
         Daniel C. I. Walsh and   
              Adrian E. Raftery   Classification of Mixtures of Spatial
                                  Point Processes via Partial Bayes
                                  Factors  . . . . . . . . . . . . . . . . 139--154
                 David Clifford   Computation of Spatial Covariance
                                  Matrices . . . . . . . . . . . . . . . . 155--167
                    Jun Zhu and   
                        Wei Yue   A Multiresolution Tree-Structured
                                  Spatial Linear Model . . . . . . . . . . 168--184
                     Ji Zhu and   
                  Trevor Hastie   Kernel Logistic Regression and the
                                  Import Vector Machine  . . . . . . . . . 185--205
               Guangzhe Fan and   
                  J. Brian Gray   Regression Tree Analysis Using TARGET    206--218
                 Yufeng Liu and   
              Xiaotong Shen and   
                      Hani Doss   Multicategory $\psi$-Learning and
                                  Support Vector Machine . . . . . . . . . 219--236
                  Hua Liang and   
                      Haobo Ren   Generalized Partially Linear Measurement
                                  Error Models . . . . . . . . . . . . . . 237--250
                      Anonymous   Recent Publications in \booktitleJSS . . 251--253

Journal of Computational and Graphical Statistics
Volume 14, Number 2, June, 2005

         Andrey Feuerverger and   
                 Peter Hall and   
             Gelila Tilahun and   
                Michael Gervers   Distance Measures and Smoothing
                                  Methodology for Imputing Features of
                                  Documents  . . . . . . . . . . . . . . . 255--262
               Alan F. Karr and   
               Xiaodong Lin and   
            Ashish P. Sanil and   
               Jerome P. Reiter   Secure Regression on Distributed
                                  Databases  . . . . . . . . . . . . . . . 263--279
               Beiying Ding and   
               Robert Gentleman   Classification Using Generalized Partial
                                  Least Squares  . . . . . . . . . . . . . 280--298
              Galit Shmueli and   
                  Wolfgang Jank   Visualizing Online Auctions  . . . . . . 299--319
         Gernot Müller and   
                  Claudia Czado   An Autoregressive Ordered Probit Model
                                  With Application to High-Frequency
                                  Financial Data . . . . . . . . . . . . . 320--338
                  Jan Beran and   
                     Dirk Ocker   Small Sample Asymptotics for Credit Risk
                                  Portfolios . . . . . . . . . . . . . . . 339--351
            Marloes H. Maathuis   Reduction Algorithm for the NPMLE for
                                  the Distribution Function of Bivariate
                                  Interval-Censored Data . . . . . . . . . 352--362
      Cécile Amblard and   
         Stéphane Girard   Estimation Procedures for a
                                  Semiparametric Family of Bivariate
                                  Copulas  . . . . . . . . . . . . . . . . 363--377
Veerabhadran Baladandayuthapani and   
            Bani K. Mallick and   
             Raymond J. Carroll   Spatially Adaptive Bayesian Penalized
                                  Regression Splines (P-splines) . . . . . 378--394
             J. R. Lockwood and   
              Mark J. Schervish   MCMC Strategies for Computing Bayesian
                                  Predictive Densities for Censored
                                  Multivariate Data  . . . . . . . . . . . 395--414
            Sandip Sinharay and   
                   Hal S. Stern   An Empirical Comparison of Methods for
                                  Computing Bayes Factors in Generalized
                                  Linear Mixed Models  . . . . . . . . . . 415--435
       Anthony E. Brockwell and   
               Joseph B. Kadane   Identification of Regeneration Times in
                                  MCMC Simulation, With Application to
                                  Adaptive Schemes . . . . . . . . . . . . 436--458
                     W. Liu and   
              M. Jamshidian and   
                   Y. Zhang and   
                    J. Donnelly   Simulation-Based Simultaneous Confidence
                                  Bands in Multiple Linear Regression With
                                  Predictor Variables Constrained in
                                  Intervals  . . . . . . . . . . . . . . . 459--484
                   Chong Gu and   
                        Ping Ma   Generalized Nonparametric Mixed-Effect
                                  Models . . . . . . . . . . . . . . . . . 485--504
                      Anonymous   Recent Publications in \booktitleJSS . . 505--510

Journal of Computational and Graphical Statistics
Volume 14, Number 3, September, 2005

          Robert Tibshirani and   
               Guenther Walther   Cluster Validation by Prediction
                                  Strength . . . . . . . . . . . . . . . . 511--528
               Chris Fraley and   
             Adrian Raftery and   
                    Ron Wehrens   Incremental Model-Based Clustering for
                                  Large Datasets With Small Clusters . . . 529--546
                         Jia Li   Clustering Based on a Multilayer Mixture
                                  Model  . . . . . . . . . . . . . . . . . 547--568
      Panu Erästö and   
           Lasse Holmström   Bayesian Multiscale Smoothing for Making
                                  Inferences About Features in
                                  Scatterplots . . . . . . . . . . . . . . 569--589
            Manuel Salvador and   
                 Pilar Gargallo   Joint Monitoring of Several Types of
                                  Shocks in Normal Dynamic Linear Models   590--609
          Athanasios Kottas and   
          Peter Müller and   
              Fernando Quintana   Nonparametric Bayesian Modeling for
                                  Multivariate Ordinal Data  . . . . . . . 610--625
                Nicole A. Lazar   Assessing the Effect of Individual Data
                                  Points on Inference From Empirical
                                  Likelihood . . . . . . . . . . . . . . . 626--642
                       Mai Zhou   Empirical Likelihood Ratio With
                                  Arbitrarily Censored/Truncated Data by
                                  EM Algorithm . . . . . . . . . . . . . . 643--656
           Christophe Biernacki   Testing for a Global Maximum of the
                                  Likelihood . . . . . . . . . . . . . . . 657--674
            Torsten Hothorn and   
           Friedrich Leisch and   
              Achim Zeileis and   
                    Kurt Hornik   The Design and Analysis of Benchmark
                                  Experiments  . . . . . . . . . . . . . . 675--699
               Igor Perisic and   
                Christian Posse   Projection Pursuit Indices Based on the
                                  Empirical Distribution Function  . . . . 700--715
             James G. Booth and   
            Marinela Capanu and   
            Ludwig Heigenhauser   Exact Conditional $P$ Value Calculation
                                  for the Quasi-Symmetry Model . . . . . . 716--725
    Arno\vst Komárek and   
          Emmanuel Lesaffre and   
                 Joan F. Hilton   Accelerated Failure Time Model for
                                  Arbitrarily Censored Data With Smoothed
                                  Error Distribution . . . . . . . . . . . 726--745
                      Anonymous   Recent Publications in \booktitleJSS . . 746--749

Journal of Computational and Graphical Statistics
Volume 14, Number 4, December, 2005

                 Paul Fearnhead   Using Random Quasi-Monte-Carlo Within
                                  Particle Filters, With Application to
                                  Financial Time Series  . . . . . . . . . 751--769
              Chun Gun Park and   
            Marina Vannucci and   
                Jeffrey D. Hart   Bayesian Methods for Wavelet Series in
                                  Single-Index Models  . . . . . . . . . . 770--794
  J. Andrés Christen and   
                      Colin Fox   Markov chain Monte Carlo Using an
                                  Approximation  . . . . . . . . . . . . . 795--810
               C. C. Holmes and   
           D. G. T. Denison and   
                     S. Ray and   
                  B. K. Mallick   Bayesian Prediction via Partitioning . . 811--830
              Eun-Kyung Lee and   
                Dianne Cook and   
             Sigbert Klinke and   
                  Thomas Lumley   Projection Pursuit for Exploratory
                                  Supervised Classification  . . . . . . . 831--846
    Adolfo Hernández and   
               Santiago Velilla   Dimension Reduction in Nonparametric
                                  Kernel Discriminant Analysis . . . . . . 847--866
                    Trevor Park   A Penalized Likelihood Approach to
                                  Rotation of Principal Components . . . . 867--888
                 James C. Spall   Monte Carlo Computation of the Fisher
                                  Information Matrix in Nonstandard
                                  Settings . . . . . . . . . . . . . . . . 889--909
                Oleg A. Smirnov   Computation of the Information Matrix
                                  for Models With Spatial Interaction on a
                                  Lattice  . . . . . . . . . . . . . . . . 910--927
             Johanna Hardin and   
                 David M. Rocke   The Distribution of Robust Distances . . 928--946
                      Anonymous   Recent Publications in \booktitleJSS . . 947--951


Journal of Computational and Graphical Statistics
Volume 15, Number 1, March, 2006

         Ole F. Christensen and   
          Gareth O. Roberts and   
              Martin Sköld   Robust Markov chain Monte Carlo Methods
                                  for Spatial Generalized Linear Mixed
                                  Models . . . . . . . . . . . . . . . . . 1--17
               Tommaso Proietti   On the Estimation of Nonlinearly
                                  Aggregated Mixed Models  . . . . . . . . 18--38
           Kerrie P. Nelson and   
          Stuart R. Lipsitz and   
     Garrett M. Fitzmaurice and   
             Joseph Ibrahim and   
             Michael Parzen and   
             Robert Strawderman   Use of the Probability Integral
                                  Transformation to Fit Nonlinear
                                  Mixed-Effects Models With Nonnormal
                                  Random Effects . . . . . . . . . . . . . 39--57
    José C. Pinheiro and   
                 Edward C. Chao   Efficient Laplacian and Adaptive
                                  Gaussian Quadrature Algorithms for
                                  Multilevel Generalized Linear Mixed
                                  Models . . . . . . . . . . . . . . . . . 58--81
                 Peter Hall and   
     Hans-Georg Müller and   
                    Ping-Shi Wu   Real-Time Density and Mode Estimation
                                  With Application to Time-Dynamic Mode
                                  Tracking . . . . . . . . . . . . . . . . 82--100
                 Jan Hannig and   
               Thomas C. M. Lee   Robust SiZer for Exploration of
                                  Regression Structures and Outlier
                                  Detection  . . . . . . . . . . . . . . . 101--117
                    Tao Shi and   
                  Steve Horvath   Unsupervised Learning With Random Forest
                                  Predictors . . . . . . . . . . . . . . . 118--138
              Cristian Gatu and   
    Erricos John Kontoghiorghes   Branch-and-Bound Algorithms for
                                  Computing the Best-Subset Regression
                                  Models . . . . . . . . . . . . . . . . . 139--156
         Michael J. Daniels and   
               Zhigang Zhou and   
                        Hui Zou   Conditionally Specified Space-Time
                                  Models for Multivariate Processes  . . . 157--177
                     Y. Fan and   
               S. P. Brooks and   
                      A. Gelman   Output Assessment for Monte Carlo
                                  Simulations via the Score Statistic  . . 178--206
               Daniel Smith and   
                  Michael Smith   Estimation of Binary Markov Random
                                  Fields Using Markov chain Monte Carlo    207--227
               Guosheng Yin and   
                   Donglin Zeng   Efficient Algorithm for Computing
                                  Maximum Likelihood Estimates in Linear
                                  Transformation Models  . . . . . . . . . 228--245
                A. E. Brockwell   Parallel Markov chain Monte Carlo
                                  Simulation by Pre-Fetching . . . . . . . 246--261
                      Anonymous   Recent Publications in \booktitleJSS . . 262--264

Journal of Computational and Graphical Statistics
Volume 15, Number 2, June, 2006

                    Hui Zou and   
              Trevor Hastie and   
              Robert Tibshirani   Sparse Principal Component Analysis  . . 265--286
          Roman Werner Lutz and   
            Peter Bühlmann   Conjugate Direction Boosting . . . . . . 287--311
                   Rafal Kustra   Reduced-Rank Regularized Multivariate
                                  Model for High-Dimensional Data  . . . . 312--338
             Yongqiang Tang and   
                Hao Helen Zhang   Multiclass Proximal Support Vector
                                  Machines . . . . . . . . . . . . . . . . 339--355
                Xiaogang Su and   
             Chih-Ling Tsai and   
                        Xin Yan   Treed Variance . . . . . . . . . . . . . 356--371
             Jussi Klemelä   Visualization of Multivariate Density
                                  Estimates With Shape Trees . . . . . . . 372--397
             J. Kyle Wathen and   
      J. Andrés Christen   Implementation of Backward Induction for
                                  Sequentially Adaptive Clinical Trials    398--413
Matías Salibian-Barrera and   
         Víctor J. Yohai   A Fast Algorithm for $S$-Regression
                                  Estimates  . . . . . . . . . . . . . . . 414--427
               Luiz Duczmal and   
           Martin Kulldorff and   
                      Lan Huang   Evaluation of Spatial Scan Statistics
                                  for Irregularly Shaped Clusters  . . . . 428--442
              Hae-Young Kim and   
         Matthew J. Gribbin and   
            Keith E. Muller and   
              Douglas J. Taylor   Analytic, Computational, and Approximate
                                  Forms for Ratios of Noncentral and
                                  Central Gaussian Quadratic Forms . . . . 443--459
        Anthony C. Atkinson and   
                    Marco Riani   Distribution Theory and Simulations for
                                  Tests of Outliers in Regression  . . . . 460--476
                      Anonymous   Recent Publications in \booktitleJSS . . 477--481

Journal of Computational and Graphical Statistics
Volume 15, Number 3, September, 2006

           Tilmann Gneiting and   
Hana \vSev\vcíková and   
         Donald B. Percival and   
           Martin Schlather and   
                  Yindeng Jiang   Fast and Exact Simulation of Large
                                  Gaussian Lattice Systems in
                                  $\mathbb{R}^2$ . . . . . . . . . . . . . 483--501
            Reinhard Furrer and   
             Marc G. Genton and   
                 Douglas Nychka   Covariance Tapering for Interpolation of
                                  Large Spatial Datasets . . . . . . . . . 502--523
           Adrian W. Bowman and   
                Mitchum T. Bock   Exploring Variation in Three-Dimensional
                                  Shape Data . . . . . . . . . . . . . . . 524--541
    Jérémie Bigot   Landmark-Based Registration of Curves
                                  via the Continuous Wavelet Transform . . 542--564
            David R. Hunter and   
               Mark S. Handcock   Inference in Curved Exponential Family
                                  Models for Networks  . . . . . . . . . . 565--583
              Shawndra Hill and   
          Deepak K. Agarwal and   
                Robert Bell and   
                 Chris Volinsky   Building an Effective Representation for
                                  Dynamic Networks . . . . . . . . . . . . 584--608
              Ben B. Hansen and   
        Stephanie Olsen Klopfer   Optimal Full Matching and Related
                                  Designs via Network Flows  . . . . . . . 609--627
        Nickolay T. Trendafilov   The Dynamical System Approach to
                                  Multivariate Data Analysis . . . . . . . 628--650
            Torsten Hothorn and   
                Kurt Hornik and   
                  Achim Zeileis   Unbiased Recursive Partitioning  . . . . 651--674
           Samantha R. Cook and   
              Andrew Gelman and   
                Donald B. Rubin   Validation of Software for Bayesian
                                  Models Using Posterior Quantiles . . . . 675--692
              Arnaud Doucet and   
                Mark Briers and   
Stéphane Sénécal   Efficient Block Sampling Strategies for
                                  Sequential Monte Carlo Methods . . . . . 693--711
          Russell J. Steele and   
          Adrian E. Raftery and   
                  Mary J. Emond   Computing Normalizing Constants for
                                  Finite Mixture Models via Incremental
                                  Mixture Importance Sampling (IMIS) . . . 712--734
                   Zhiqiang Tan   Monte Carlo Integration With
                                  Acceptance-Rejection . . . . . . . . . . 735--752
                      Anonymous   Recent Publications in \booktitleJSS . . 753--756

Journal of Computational and Graphical Statistics
Volume 15, Number 4, December, 2006

                   Li Liang and   
 Christine M. Anderson-Cook and   
        Timothy J. Robinson and   
               Raymond H. Myers   Three-Dimensional Variance Dispersion
                                  Graphs for Split-Plot Designs  . . . . . 757--778
                  Uri Keich and   
             Niranjan Nagarajan   A Fast and Numerically Robust Method for
                                  Exact Multinomial Goodness-of-Fit Test   779--802
                  Wolfgang Jank   Implementing and Diagnosing the
                                  Stochastic Approximation EM Algorithm    803--829
                     Li Qin and   
                   Wensheng Guo   State Space Representation for Smoothing
                                  Spline ANOVA Models  . . . . . . . . . . 830--847
                     Man-Wai Ho   Bayes Estimation of a Symmetric Unimodal
                                  Density via S-Paths  . . . . . . . . . . 848--860
    Christopher H. Holloman and   
          Herbert K. H. Lee and   
                 Dave M. Higdon   Multiresolution Genetic Algorithms and
                                  Markov chain Monte Carlo . . . . . . . . 861--879
                 Xiao Zhang and   
          W. John Boscardin and   
                Thomas R. Belin   Sampling Correlation Matrices in
                                  Bayesian Models With Correlated Latent
                                  Variables  . . . . . . . . . . . . . . . 880--896
                Xuefeng Liu and   
             Michael J. Daniels   A New Algorithm for Simulating a
                                  Correlation Matrix Based on Parameter
                                  Expansion and Reparameterization . . . . 897--914
                 David Chan and   
                Robert Kohn and   
                 David Nott and   
                    Chris Kirby   Locally Adaptive Semiparametric
                                  Estimation of the Mean and Variance
                                  Functions in Regression Models . . . . . 915--936
       Richard M. Heiberger and   
                   Burt Holland   Mean--Mean Multiple Comparison Displays
                                  for Families of Linear Contrasts . . . . 937--955
                      Anonymous   Correction: \em Analytic, Computational,
                                  and Approximate Forms for Ratios of
                                  Noncentral and Central Gaussian
                                  Quadratic Forms, Journal of
                                  Computational and Graphical Statistics
                                  15, 443--459 (2006)  . . . . . . . . . . 956--956
                      Anonymous   Recent Publications in \booktitleJSS . . 957--960
                      Anonymous   Editorial Collaborators  . . . . . . . . 961--965


Journal of Computational and Graphical Statistics
Volume 16, Number 1, March, 2007

           Robert Gentleman and   
             Duncan Temple Lang   Statistical Analyses and Reproducible
                                  Research . . . . . . . . . . . . . . . . 1--23
                 Todd L. Graves   Design Ideas for Markov chain Monte
                                  Carlo Software . . . . . . . . . . . . . 24--43
                  Yuhong Wu and   
     Håkon Tjelmeland and   
                      Mike West   Bayesian CART  . . . . . . . . . . . . . 44--66
            J. Andrew Royle and   
          Robert M. Dorazio and   
                William A. Link   Analysis of Multinomial Models With
                                  Unknown Index Using Data Augmentation    67--85
            Siddhartha Chib and   
               Edward Greenberg   Semiparametric Modeling and Estimation
                                  of Instrumental Variable Models  . . . . 86--114
            Carol A. Gotway and   
                 Linda J. Young   A Geostatistical Approach to Linking
                                  Geographically Aggregated Data From
                                  Different Sources  . . . . . . . . . . . 115--135
                     Colin Chen   A Finite Smoothing Algorithm for
                                  Quantile Regression  . . . . . . . . . . 136--164
               Gerhard Tutz and   
          Florian Leitenstorfer   Generalized Smooth Monotonic Regression
                                  in Additive Modeling . . . . . . . . . . 165--188
           Jianhua Z. Huang and   
                  Linxu Liu and   
                    Naiping Liu   Estimation of Large Covariance Matrices
                                  of Longitudinal Data With Basis Function
                                  Approximations . . . . . . . . . . . . . 189--209
                  Mark de Rooij   The Distance Perspective of Generalized
                                  Biadditive Models  . . . . . . . . . . . 210--227
         Daniel Peña and   
            Francisco J. Prieto   Combining Random and Specific Directions
                                  for Outlier Detection and Robust
                                  Estimation in High-Dimensional
                                  Multivariate Data  . . . . . . . . . . . 228--254
                      Anonymous   Correction: \em Using Random
                                  Quasi-Monte-Carlo Within Particle
                                  Filters, With Application to Financial
                                  Time Series, Journal of Computational
                                  and Graphical Statistics 15, 751--769
                                  (2005) . . . . . . . . . . . . . . . . . 255--255
                      Anonymous   Recent Publications in \booktitleJSS . . 256--263

Journal of Computational and Graphical Statistics
Volume 16, Number 2, June, 2007

     Ciprian M. Crainiceanu and   
              David Ruppert and   
         Raymond J. Carroll and   
               Adarsh Joshi and   
                  Billy Goodner   Spatially Adaptive Bayesian Penalized
                                  Splines With Heteroscedastic Errors  . . 265--288
                Jingran Sun and   
                     Peihua Qiu   Jump Detection in Regression Surfaces
                                  Using Both First-Order and Second-Order
                                  Derivatives  . . . . . . . . . . . . . . 289--311
                   Anna Liu and   
                Tiejun Tong and   
                   Yuedong Wang   Smoothing Spline Estimation of Variance
                                  Functions  . . . . . . . . . . . . . . . 312--329
              Xiangrong Yin and   
                     Lixing Zhu   Estimating Directions in Extending
                                  Generalized Partially Linear
                                  Single-Index Models  . . . . . . . . . . 330--349
            Wilfried Seidel and   
Hana \vSev\vcíková and   
                Krunoslav Sever   Testing Against Nonparametric
                                  Alternatives in Mixture Models . . . . . 350--377
                Lai Ping Ho and   
                  Sung Nok Chiu   Testing Uniformity of a Spatial Point
                                  Pattern  . . . . . . . . . . . . . . . . 378--398
              A. J. Rossini and   
               Luke Tierney and   
                          Na Li   Simple Parallel Statistical Computing in
                                  R  . . . . . . . . . . . . . . . . . . . 399--420
               Michael Friendly   HE Plots for Multivariate Linear Models  421--444
                     Yuguo Chen   Conditional Inference on Tables With
                                  Structural Zeros . . . . . . . . . . . . 445--467
               You-Gan Wang and   
                     Xu Lin and   
                    Min Zhu and   
                    Zhidong Bai   Robust Estimation Using the Huber
                                  Function With a Data-Dependent Tuning
                                  Constant . . . . . . . . . . . . . . . . 468--481
                  Anil K. Ghosh   On Nearest Neighbor Classification Using
                                  Adaptive Choice of $k$ . . . . . . . . . 482--502
                      Anonymous   Recent Publications in \booktitleJSS . . 503--506

Journal of Computational and Graphical Statistics
Volume 16, Number 3, September, 2007

              Achim Zeileis and   
                David Meyer and   
                    Kurt Hornik   Residual-Based Shadings for Visualizing
                                  (Conditional) Independence . . . . . . . 507--525
                John W. Lau and   
                 Peter J. Green   Bayesian Model-Based Clustering
                                  Procedures . . . . . . . . . . . . . . . 526--558
                 Man-Suk Oh and   
              Adrian E. Raftery   Model-Based Clustering With
                                  Dissimilarities  . . . . . . . . . . . . 559--585
             Paul Fearnhead and   
           Loukia Meligkotsidou   Filtering Methods for Mixture Models . . 586--607
                   Faming Liang   Continuous Contour Monte Carlo for
                                  Marginal Density Estimation With an
                                  Application to a Spatial Statistical
                                  Model  . . . . . . . . . . . . . . . . . 608--632
                Surya T. Tokdar   Towards a Faster Implementation of
                                  Density Estimation With Logistic
                                  Gaussian Process Priors  . . . . . . . . 633--655
                    Jaeyong Lee   Sampling Methods of Neutral to the Right
                                  Processes  . . . . . . . . . . . . . . . 656--671
              Osnat Stramer and   
                        Jun Yan   On Simulated Likelihood of Discretely
                                  Observed Diffusion Processes and
                                  Comparison to Closed-Form Approximation  672--691
                 Nick Ellis and   
                  Ranjan Maitra   Multivariate Gaussian Simulation Outside
                                  Arbitrary Ellipsoids . . . . . . . . . . 692--708
                   Giles Hooker   Generalized Functional ANOVA Diagnostics
                                  for High-Dimensional Functions of
                                  Dependent Variables  . . . . . . . . . . 709--732
              Guanghua Xiao and   
                        Wei Pan   Consensus Clustering of Gene Expression
                                  Data and its Application to Gene
                                  Function Prediction  . . . . . . . . . . 733--751
                      Anonymous   Recent Publications in \booktitleJSS . . 752--759

Journal of Computational and Graphical Statistics
Volume 16, Number 4, December, 2007

                  Cun-Hui Zhang   Continuous Generalized Gradient Descent  761--781
                 Yufeng Liu and   
                      Yichao Wu   Variable Selection via a Combination of
                                  the $L_0$ and $L_1$ Penalties  . . . . . 782--798
                 Peter Hall and   
               Young K. Lee and   
                 Byeong U. Park   A Method for Projecting Functional Data
                                  Onto a Low-Dimensional Space . . . . . . 799--812
                Haihong Zhu and   
                       Hulin Wu   Estimation of Smooth Time-Varying
                                  Parameters in State Space Models . . . . 813--832
             Lingsong Zhang and   
               J. S. Marron and   
               Haipeng Shen and   
                  Zhengyuan Zhu   Singular Value Decomposition and Its
                                  Visualization  . . . . . . . . . . . . . 833--854
               Gopi Goswami and   
                 Jun S. Liu and   
                   Wing H. Wong   Evolutionary Monte Carlo Methods for
                                  Clustering . . . . . . . . . . . . . . . 855--876
               Adrian Barbu and   
                  Song-Chun Zhu   Generalizing Swendsen--Wang for Image
                                  Analysis . . . . . . . . . . . . . . . . 877--900
           David Afshartous and   
             George Michailidis   Distributed Multilevel Modeling  . . . . 901--924
           Catherine Loader and   
                Ramani S. Pilla   Iteratively Reweighted Generalized Least
                                  Squares for Estimation and Testing With
                                  Correlated Data  . . . . . . . . . . . . 925--945
             Michael P. Fay and   
               Hyune-Ju Kim and   
                    Mark Hachey   On Using Truncated Sequential
                                  Probability Ratio Test Boundaries for
                                  Monte Carlo Implementation of Hypothesis
                                  Tests  . . . . . . . . . . . . . . . . . 946--967
                   J. Mateu and   
                 G. Lorenzo and   
                       E. Porcu   Detecting Features in Spatial Point
                                  Processes with Clutter via Local
                                  Indicators of Spatial Association  . . . 968--990
                      Anonymous   Recent Publications in \booktitleJSS . . 991--998
                      Anonymous   Editorial Collaborators  . . . . . . . . 999--1002


Journal of Computational and Graphical Statistics
Volume 17, Number 1, March, 2008

        Tatyana Krivobokova and   
     Ciprian M. Crainiceanu and   
           Göran Kauermann   Fast Adaptive Penalized Splines  . . . . 1--20
                  Xiao Wang and   
                        Feng Li   Isotonic Smoothing Spline Regression . . 21--37
M. D. Martínez-Miranda and   
            R. Raya-Miranda and   
W. González-Manteiga and   
     A. González-Carmona   A Bootstrap Local Bandwidth Selector for
                                  Additive Models  . . . . . . . . . . . . 38--55
             Ming-Yen Cheng and   
                  Marc Raimondo   Kernel Methods for Optimal Change-Points
                                  Estimation in Derivatives  . . . . . . . 56--75
            Regina Tüchler   Bayesian Variable Selection for Logistic
                                  Models Using Auxiliary Mixture Sampling  76--94
              Andrew Gelman and   
           David A. van Dyk and   
              Zaiying Huang and   
              John W. Boscardin   Using Redundant Parameterizations to Fit
                                  Hierarchical Models  . . . . . . . . . . 95--122
              Yanbing Zheng and   
                        Jun Zhu   Markov chain Monte Carlo for a
                                  Spatial-Temporal Autologistic Regression
                                  Model  . . . . . . . . . . . . . . . . . 123--137
                  Asger Hobolth   A Markov chain Monte Carlo Expectation
                                  Maximization Algorithm for Statistical
                                  Analysis of DNA Sequence Evolution with
                                  Neighbor-Dependent Substitution Rates    138--162
                 Youjuan Li and   
                         Ji Zhu   $L_1$-Norm Quantile Regression . . . . . 163--185
                 Colin Chen and   
                  Xuming He and   
                       Ying Wei   Lower Rank Approximation of Matrices
                                  Based on Fast and Robust Alternating
                                  Regression . . . . . . . . . . . . . . . 186--200
               F. Friedrich and   
                   A. Kempe and   
               V. Liebscher and   
                     G. Winkler   Complexity Penalized M-Estimation  . . . 201--224
               Zhihua Zhang and   
              Dit-Yan Yeung and   
              James T. Kwok and   
                Edward Y. Chang   Sliced Coordinate Analysis for Effective
                                  Dimension Reduction and Nonlinear
                                  Extensions . . . . . . . . . . . . . . . 225--242
               Luiz Duczmal and   
André L. F. Cançado and   
        Ricardo H. C. Takahashi   Delineation of Irregularly Shaped
                                  Disease Clusters Through Multiobjective
                                  Optimization . . . . . . . . . . . . . . 243--262
                      Anonymous   Recent Publications in \booktitleJSS . . 263--268

Journal of Computational and Graphical Statistics
Volume 17, Number 2, June, 2008

                  David van Dyk   Editorial  . . . . . . . . . . . . . . . 269--269
           Nikolay Bliznyuk and   
              David Ruppert and   
        Christine Shoemaker and   
               Rommel Regis and   
                Stefan Wild and   
              Pradeep Mugunthan   Bayesian Calibration and Uncertainty
                                  Analysis for Computationally Expensive
                                  Models Using Optimization and Radial
                                  Basis Function Approximation . . . . . . 270--294
              Edward L. Ionides   Truncated Importance Sampling  . . . . . 295--311
         Myl\`ene Bédard   Efficient Sampling Using Metropolis
                                  Algorithms . . . . . . . . . . . . . . . 312--332
               Perry de Valpine   Improved Estimation of Normalizing
                                  Constants From Markov Chain Monte Carlo
                                  Output . . . . . . . . . . . . . . . . . 333--351
              Sally A. Wood and   
                Robert Kohn and   
                Remy Cottet and   
               Wenxin Jiang and   
                  Martin Tanner   Locally Adaptive Nonparametric Binary
                                  Regression . . . . . . . . . . . . . . . 352--372
                      Xiao Wang   Bayesian Free-Knot Monotone Cubic Spline
                                  Regression . . . . . . . . . . . . . . . 373--387
              Stefano Monni and   
                     Hongzhe Li   Vertex Clustering in Random Graphs via
                                  Reversible Jump Markov Chain Monte Carlo 388--409
                  Subharup Guha   Posterior Simulation in the Generalized
                                  Linear Mixed Model With Semiparametric
                                  Random Effects . . . . . . . . . . . . . 410--425
                Jiahua Chen and   
   Asokan Mulayath Variyath and   
                  Bovas Abraham   Adjusted Empirical Likelihood and its
                                  Properties . . . . . . . . . . . . . . . 426--443
               Andreas Buja and   
          Deborah F. Swayne and   
         Michael L. Littman and   
             Nathaniel Dean and   
              Heike Hofmann and   
                     Lisha Chen   Data Visualization With Multidimensional
                                  Scaling  . . . . . . . . . . . . . . . . 444--472
           Leland Wilkinson and   
                   Graham Wills   Scagnostics Distributions  . . . . . . . 473--491
              Achim Zeileis and   
            Torsten Hothorn and   
                    Kurt Hornik   Model-Based Recursive Partitioning . . . 492--514
                      Anonymous   Correction: \em Spatially Adaptive
                                  Bayesian Penalized Regression Splines
                                  (P-splines), Journal of Computational
                                  and Graphical Statistics 14, 378--394
                                  (2005) . . . . . . . . . . . . . . . . . 515--515
                      Anonymous   Recent Publications in \booktitleJSS . . 516--525

Journal of Computational and Graphical Statistics
Volume 17, Number 3, September, 2008

              Kenneth Lange and   
                   Tong Tong Wu   An MM Algorithm for Multicategory Vertex
                                  Discriminant Analysis  . . . . . . . . . 527--544
                  Mark Culp and   
             George Michailidis   An Iterative Algorithm for Extending
                                  Learners to a Semi-Supervised Setting    545--571
               Santiago Velilla   A Method for Dimension Reduction in
                                  Quadratic Classification Problems  . . . 572--589
                    Han-Ming Wu   Kernel Sliced Inverse Regression with
                                  Applications to Classification . . . . . 590--610
               Marco Sandri and   
               Paola Zuccolotto   A Bias Correction Algorithm for the Gini
                                  Variable Importance Measure in
                                  Classification Trees . . . . . . . . . . 611--628
            Alejandro Murua and   
          Larissa Stanberry and   
                Werner Stuetzle   On Potts Model Clustering, Kernel
                                  $K$-Means and Density Estimation . . . . 629--658
    Matias Salibian-Barrera and   
               Gert Willems and   
                    Ruben Zamar   The Fast-$\tau$ Estimator for Regression 659--682
          Biman Chakraborty and   
               Probal Chaudhuri   On an Optimization Problem in Robust
                                  Statistics . . . . . . . . . . . . . . . 683--702
           Enrique Castillo and   
            Carmen Castillo and   
                Ali S. Hadi and   
             Jose Maria Sarabia   Local Sensitivity Analysis in Estimation
                                  Problems . . . . . . . . . . . . . . . . 703--725
               Noel Cressie and   
                Prasenjit Kapat   Some Diagnostics for Markov Random
                                  Fields . . . . . . . . . . . . . . . . . 726--749
          Gerhard Koekemoer and   
            Jan W. H. Swanepoel   Transformation Kernel Density Estimation
                                  With Applications  . . . . . . . . . . . 750--769
                      Anonymous   Recent Publications in \booktitleJSS . . 770--772

Journal of Computational and Graphical Statistics
Volume 17, Number 4, December, 2008

             Markus Kalisch and   
            Peter Bühlmann   Robustification of the PC-Algorithm for
                                  Directed Acyclic Graphs  . . . . . . . . 773--789
             James G. Scott and   
             Carlos M. Carvalho   Feature-Inclusion Stochastic Search for
                                  Gaussian Graphical Models  . . . . . . . 790--808
                      Ming Yuan   Efficient Computation of $\ell_1$
                                  Regularized Estimates in Gaussian
                                  Graphical Models . . . . . . . . . . . . 809--826
               Jonathan Rougier   Efficient Emulators for Multivariate
                                  Deterministic Functions  . . . . . . . . 827--843
                  Dorin Drignei   Fast Statistical Surrogates for
                                  Dynamical $3$D Computer Models of Brain
                                  Tumors . . . . . . . . . . . . . . . . . 844--859
             Jussi Klemelä   Mode Trees for Multivariate Data . . . . 860--869
               Sonja Greven and   
     Ciprian M. Crainiceanu and   
     Helmut Küchenhoff and   
                 Annette Peters   Restricted Likelihood Ratio Testing for
                                  Zero Variance Components in Linear Mixed
                                  Models . . . . . . . . . . . . . . . . . 870--891
                Kosuke Imai and   
                  Gary King and   
                     Olivia Lau   Toward a Common Framework for
                                  Statistical Analysis and Development . . 892--913
         Shoshana R. Daniel and   
          Katrina Armstrong and   
          Jeffrey H. Silber and   
              Paul R. Rosenbaum   An Algorithm for Optimal Tapered
                                  Matching, With Application to
                                  Disparities in Survival  . . . . . . . . 914--924
                 Jiaqiao Hu and   
                       Zheng Su   Efficient Error Determination in
                                  Sequential Clinical Trial Design . . . . 925--948
           Raphael Gottardo and   
              Adrian E. Raftery   Markov Chain Monte Carlo With Mixtures
                                  of Mutually Singular Distributions . . . 949--975
                Thomas Jaki and   
                R. Webster West   Maximum Kernel Likelihood Estimation . . 976--993
                Jinseog Kim and   
                  Yuwon Kim and   
                    Yongdai Kim   A Gradient-Based Optimization Algorithm
                                  for LASSO  . . . . . . . . . . . . . . . 994--1009
                      Anonymous   Recent Publications in \booktitleJSS . . 1010--1015
                      Anonymous   Editorial Collaborators  . . . . . . . . 1016--1019
                      Anonymous   Index to Volume 17 (2008)  . . . . . . . 1020--1023


Journal of Computational and Graphical Statistics
Volume 18, Number 1, March, 2009

           Dana Draghicescu and   
              Serge Guillas and   
                    Wei Biao Wu   Quantile Curve Estimation and
                                  Visualization for Nonstationary Time
                                  Series . . . . . . . . . . . . . . . . . 1--20
             Lorraine Denby and   
                  Colin Mallows   Variations on the Histogram  . . . . . . 21--31
            Rida E. A. Moustafa   QGPCP: Quantized Generalized Parallel
                                  Coordinate Plots for Large Multivariate
                                  Data Visualization . . . . . . . . . . . 32--51
              Jiajuan Liang and   
                    Kai Wang Ng   A Multivariate Normal Plot to Detect
                                  Nonnormality . . . . . . . . . . . . . . 52--72
               Gert Willems and   
                  Harry Joe and   
                    Ruben Zamar   Diagnosing Multivariate Outliers
                                  Detected by Robust Estimators  . . . . . 73--91
                Kesar Singh and   
             David E. Tyler and   
             Jingshan Zhang and   
              Somnath Mukherjee   Quantile Scale Curves  . . . . . . . . . 92--105
       Göran Kauermann and   
                  Pavel Khomski   Full Time or Part Time Reemployment: a
                                  Competing Risk Model With Frailties and
                                  Smooth Effects Using a Penalty Based
                                  Approach . . . . . . . . . . . . . . . . 106--125
       Göran Kauermann and   
  Gerda Claeskens J. D. Opsomer   Bootstrapping for Penalized Spline
                                  Regression . . . . . . . . . . . . . . . 126--146
                 Peihua Qiu and   
                    Jingran Sun   Using Conventional Edge Detectors and
                                  Postsmoothing for Segmentation of
                                  Spotted Microarray Images  . . . . . . . 147--164
               Yuedong Wang and   
                     Chunlei Ke   Smoothing Spline Semiparametric
                                  Nonlinear Regression Models  . . . . . . 165--183
         Paul H. Garthwaite and   
                    M. C. Jones   A Stochastic Approximation Method and
                                  Its Application to Confidence Intervals  184--200
               Chenlei Leng and   
                  Hansheng Wang   On General Adaptive Sparse Principal
                                  Component Analysis . . . . . . . . . . . 201--215
         Anestis Antoniadis and   
Jérémie Bigot and   
               Rainer von Sachs   A Multiscale Approach for Statistical
                                  Characterization of Functional Images    216--237
                      Anonymous   Recent Publications in \booktitleJSS . . 238--242

Journal of Computational and Graphical Statistics
Volume 18, Number 2, June, 2009

                   N. Friel and   
              A. N. Pettitt and   
                  R. Reeves and   
                         E. Wit   Bayesian Inference in Hidden Markov
                                  Random Fields for Binary Data Defined on
                                  Large Lattices . . . . . . . . . . . . . 243--261
        Mary Kathryn Cowles and   
                    Jun Yan and   
                    Brian Smith   Reparameterized and Marginalized
                                  Posterior and Predictive Sampling for
                                  Complex Bayesian Geostatistical Models   262--282
              Taeyoung Park and   
               David A. van Dyk   Partially Collapsed Gibbs Samplers:
                                  Illustrations and Applications . . . . . 283--305
                Joyee Ghosh and   
                David B. Dunson   Default Prior Distributions and
                                  Efficient Posterior Computation in
                                  Bayesian Factor Analysis . . . . . . . . 306--320
            Siddhartha Chib and   
           Edward Greenberg and   
                 Ivan Jeliazkov   Estimation of Semiparametric Models in
                                  the Presence of Endogeneity and Sample
                                  Selection  . . . . . . . . . . . . . . . 321--348
          Gareth O. Roberts and   
           Jeffrey S. Rosenthal   Examples of Adaptive MCMC  . . . . . . . 349--367
         Merrill W. Liechty and   
            John C. Liechty and   
              Peter Müller   The Shadow Prior . . . . . . . . . . . . 368--383
               Andrew Golightly   Bayesian Filtering for Jump-Diffusions
                                  With Application to Stochastic
                                  Volatility . . . . . . . . . . . . . . . 384--400
               Chris Holmes and   
                     Ajay Jasra   Antithetic Methods for Gibbs Samplers    401--414
       Genevi\`eve Lefebvre and   
             Russell Steele and   
            Alain C. Vandal and   
           Sridar Narayanan and   
              Douglas L. Arnold   Path Sampling to Compute Integrated
                                  Likelihoods: An Adaptive Approach  . . . 415--437
                  Peter D. Hoff   Simulation of the Matrix Bingham--von
                                  Mises--Fisher Distribution, With
                                  Applications to Multivariate and
                                  Relational Data  . . . . . . . . . . . . 438--456
       Joshua Chi-Chun Chan and   
                 Ivan Jeliazkov   MCMC Estimation of Restricted Covariance
                                  Matrices . . . . . . . . . . . . . . . . 457--480
                    Lei Liu and   
             Michael Levine and   
                         Yu Zhu   A Functional EM Algorithm for Mixing
                                  Density Estimation via Nonparametric
                                  Penalized Likelihood Maximization  . . . 481--504
           Tatiana Benaglia and   
            Didier Chauveau and   
                David R. Hunter   An EM-Like Algorithm for Semi- and
                                  Nonparametric Estimation in Multivariate
                                  Mixtures . . . . . . . . . . . . . . . . 505--526
                      Anonymous   Recent Publications in \booktitleJSS . . 527--532

Journal of Computational and Graphical Statistics
Volume 18, Number 3, September, 2009

                 Peter Hall and   
                    Hugh Miller   Using Generalized Correlation to Effect
                                  Variable Selection in Very High
                                  Dimensional Problems . . . . . . . . . . 533--550
              A. S. Wagaman and   
                      E. Levina   Discovering Sparse Covariance Structures
                                  With the Isomap  . . . . . . . . . . . . 551--572
                 Airong Cai and   
               Ruey S. Tsay and   
                      Rong Chen   Variable Selection in Linear Regression
                                  With Many Predictors . . . . . . . . . . 573--591
          Demetris Lamnisos and   
             Jim E. Griffin and   
               Mark F. J. Steel   Transdimensional Sampling Algorithms for
                                  Bayesian Variable Selection in
                                  Classification Problems With Many More
                                  Variables Than Observations  . . . . . . 592--612
          Rebecka Jörnsten   Simultaneous Model Selection via
                                  Rate-Distortion Theory, With
                                  Applications to Cluster and Significance
                                  Analysis of Gene Expression Data . . . . 613--639
                Xinwei Deng and   
                      Ming Yuan   Large Gaussian Covariance Matrix
                                  Estimation With Markov Structures  . . . 640--657
              Juan C. Vivar and   
           Marco A. R. Ferreira   Spatiotemporal Models for Gaussian Areal
                                  Data . . . . . . . . . . . . . . . . . . 658--674
                     Li Qin and   
               Wensheng Guo and   
                     Brian Litt   A Time-Frequency Functional Model for
                                  Locally Stationary Time Series Data  . . 675--693
                   Jie Chen and   
                   Xiaoming Huo   A Hessian Regularized Nonlinear Time
                                  Series Model . . . . . . . . . . . . . . 694--716
              Jin-Hong Park and   
               T. N. Sriram and   
                  Xiangrong Yin   Central Mean Subspace in Time Series . . 717--730
             Kamal Hamidieh and   
              Stilian Stoev and   
             George Michailidis   On the Estimation of the Extremal Index
                                  Based on Scaling and Resampling  . . . . 731--755
              Yann Ruffieux and   
                 Peter J. Green   Alignment of Multiple Configurations
                                  Using Hierarchical Models  . . . . . . . 756--773
             R. Dennis Cook and   
                       Lexin Li   Dimension Reduction in Regressions With
                                  Exponential Family Predictors  . . . . . 774--791
                      Anonymous   Recent Publications in \booktitleJSS . . 792--796

Journal of Computational and Graphical Statistics
Volume 18, Number 4, December, 2009

               Florin Vaida and   
                        Lin Liu   Fast Implementation for Normal Mixed
                                  Effects Models With Censored Response    797--817
              Subharup Guha and   
                Louise Ryan and   
                 Michele Morara   Gauss--Seidel Estimation of Generalized
                                  Linear Mixed Models With Application to
                                  Poisson Modeling of Spatially Varying
                                  Disease Rates  . . . . . . . . . . . . . 818--837
             Alejandro Jara and   
          Timothy E. Hanson and   
              Emmanuel Lesaffre   Robustifying Generalized Linear Mixed
                                  Models Using a New Class of Mixtures of
                                  Multivariate Polya Trees . . . . . . . . 838--860
                  Aixin Tan and   
                James P. Hobert   Block Gibbs Sampling for Bayesian Random
                                  Effects Models With Improper Priors:
                                  Convergence and Regeneration . . . . . . 861--878
         Patrick S. Carmack and   
        William R. Schucany and   
          Jeffrey S. Spence and   
           Richard F. Gunst and   
                  Qihua Lin and   
                Robert W. Haley   Far Casting Cross-Validation . . . . . . 879--893
             Petko I. Yanev and   
      Erricos J. Kontoghiorghes   Graph-Based Strategies for Performing
                                  the Exhaustive and Random $k$-Fold
                                  Cross-Validations  . . . . . . . . . . . 894--914
           Vadim Zipunnikov and   
             James G. Booth and   
                 Ruriko Yoshida   Counting Tables Using the
                                  Double-Saddlepoint Approximation . . . . 915--929
                Alun Thomas and   
                 Peter J. Green   Enumerating the Junction Trees of a
                                  Decomposable Graph . . . . . . . . . . . 930--940
                     Peter Lenk   Simulation Pseudo-Bias Correction to the
                                  Harmonic Mean Estimator of Integrated
                                  Likelihoods  . . . . . . . . . . . . . . 941--960
                   L. Evers and   
                   T. J. Heaton   Locally Adaptive Tree-Based Thresholding 961--977
                  Johan Lim and   
             Seung Jean Kim and   
                    Xinlei Wang   Estimating Stochastically Ordered
                                  Survival Functions via Geometric
                                  Programming  . . . . . . . . . . . . . . 978--994
                   Jie Peng and   
                  Debashis Paul   A Geometric Approach to Maximum
                                  Likelihood Estimation of the Functional
                                  Principal Components From Sparse
                                  Longitudinal Data  . . . . . . . . . . . 995--1015
          Dimitris Mavridis and   
                 Irini Moustaki   The Forward Search Algorithm for
                                  Detecting Aberrant Response Patterns in
                                  Factor Analysis for Binary Data  . . . . 1016--1034
                      Anonymous   Recent Publications in \booktitleJSS . . 1035--1036
                      Anonymous   Editorial Collaborators  . . . . . . . . 1037--1040
                      Anonymous   Index to Volume 18 (2009)  . . . . . . . 1041--1044


Journal of Computational and Graphical Statistics
Volume 19, Number 1, March, 2010

          Richard A. Levine and   
               Luke Tierney and   
             Hadley Wickham and   
               Eric Sampson and   
                Dianne Cook and   
               David A. van Dyk   Editorial: Publishing Animations, $3$D
                                  Visualizations, and Movies in JCGS . . . 1--2
                 Hadley Wickham   A Layered Grammar of Graphics  . . . . . 3--28
             Rob J. Hyndman and   
                  Han Lin Shang   Rainbow Plots, Bagplots, and Boxplots
                                  for Functional Data  . . . . . . . . . . 29--45
                J. C. Gower and   
           P. J. F. Groenen and   
               M. van de Velden   Area Biplots . . . . . . . . . . . . . . 46--61
         John H. J. Einmahl and   
              Maria Gantner and   
          Günther Sawitzki   The Shorth Plot  . . . . . . . . . . . . 62--73
              Zhengyuan Zhu and   
                      Yichao Wu   Estimation and Prediction of a Class of
                                  Convolution-Based Spatial Nonstationary
                                  Models for Large Spatial Data  . . . . . 74--95
                     Yu Yue and   
               Paul L. Speckman   Nonstationary Spatial Gaussian Markov
                                  Random Fields  . . . . . . . . . . . . . 96--116
               Ya-Mei Chang and   
               Nan-Jung Hsu and   
               Hsin-Cheng Huang   Semiparametric Estimation and Selection
                                  for Nonstationary Spatial Covariance
                                  Functions  . . . . . . . . . . . . . . . 117--139
         Adeniyi J. Adewale and   
                 Irina Dinu and   
                   Yutaka Yasui   Boosting for Correlated Binary
                                  Classification . . . . . . . . . . . . . 140--153
               Gerhard Tutz and   
                  Jan Gertheiss   Feature Extraction in Signal Regression:
                                  a Boosting Technique for Functional Data
                                  Regression . . . . . . . . . . . . . . . 154--174
            Kaspar Rufibach and   
               Guenther Walther   The Block Criterion for Multiscale
                                  Inference About a Density, With
                                  Applications to Other Multiscale
                                  Problems . . . . . . . . . . . . . . . . 175--190
               Marc Hofmann and   
              Cristian Gatu and   
    Erricos John Kontoghiorghes   An Exact Least Trimmed Squares Algorithm
                                  for a Range of Coverage Values . . . . . 191--204
            Vikas C. Raykar and   
          Ramani Duraiswami and   
                  Linda H. Zhao   Fast Computation of Kernel Estimators    205--220
              Hsieh Fushing and   
               Shuchun Chen and   
                   How-Jing Lee   Statistical Computations on Biological
                                  Rhythms I: Dissecting Variable Cycles
                                  and Computing Signature Phases in
                                  Activity-Event Time Series . . . . . . . 221--239
                      Anonymous   Recent Publications in \booktitleJSS . . 240--241

Journal of Computational and Graphical Statistics
Volume 19, Number 2, June, 2010

             Paolo Giordani and   
                    Robert Kohn   Adaptive Independent
                                  Metropolis--Hastings by Fast Estimation
                                  of Mixtures of Normals . . . . . . . . . 243--259
                Jarad Niemi and   
                      Mike West   Adaptive Mixture Modeling Metropolis
                                  Methods for Bayesian Analysis of
                                  Nonlinear State-Space Models . . . . . . 260--280
         Merrill W. Liechty and   
                    Jingjing Lu   Multivariate Normal Slice Sampling . . . 281--294
                  Hani Doss and   
                James P. Hobert   Estimation of Bayes Factors in a Class
                                  of Hierarchical Random Effects Models
                                  Using a Geometrically Ergodic MCMC
                                  Algorithm  . . . . . . . . . . . . . . . 295--312
   Panagiotis Papastamoulis and   
              George Iliopoulos   An Artificial Allocations Based Solution
                                  to the Label Switching Problem in
                                  Bayesian Analysis of Mixtures of
                                  Distributions  . . . . . . . . . . . . . 313--331
        Jean-Patrick Baudry and   
          Adrian E. Raftery and   
              Gilles Celeux and   
                 Kenneth Lo and   
          Raphaël Gottardo   Combining Mixture Components for
                                  Clustering . . . . . . . . . . . . . . . 332--353
              Ranjan Maitra and   
             Volodymyr Melnykov   Simulating Data to Study Performance of
                                  Finite Mixture Modeling and Clustering
                                  Algorithms . . . . . . . . . . . . . . . 354--376
              Ranjan Maitra and   
                 Ivan P. Ramler   A $k$-mean-directions Algorithm for Fast
                                  Clustering of Data on the Sphere . . . . 377--396
            Werner Stuetzle and   
                 Rebecca Nugent   A Generalized Single Linkage Method for
                                  Estimating the Cluster Tree of a Density 397--418
            Marc A. Suchard and   
                Quanli Wang and   
               Cliburn Chan and   
            Jacob Frelinger and   
                Andrew Cron and   
                      Mike West   Understanding GPU Programming for
                                  Statistical Computation: Studies in
                                  Massively Parallel Massive Mixtures  . . 419--438
              Clayton Scott and   
                  Eric Kolaczyk   Nonparametric Assessment of
                                  Contamination in Multivariate Data Using
                                  Generalized Quantile Sets and FDR  . . . 439--456
                Kyupil Yeon and   
              Moon Sup Song and   
                Yongdai Kim and   
                 Hosik Choi and   
                  Cheolwoo Park   Model Averaging via Penalized Regression
                                  for Tracking Concept Drift . . . . . . . 457--473
               Iulian Ilies and   
               Adalbert Wilhelm   Projection-Based Partitioning for Large,
                                  High-Dimensional Datasets  . . . . . . . 474--492
                      Anonymous   Recent Publications in \booktitleJSS . . 493--495

Journal of Computational and Graphical Statistics
Volume 19, Number 3, September, 2010

              Cheolwoo Park and   
           Thomas C. M. Lee and   
                     Jan Hannig   Multiscale Exploratory Analysis of
                                  Regression Quantiles Using Quantile
                                  Sizer  . . . . . . . . . . . . . . . . . 497--513
           Elise Dusseldorp and   
         Claudio Conversano and   
                Bart Jan Van Os   Combining an Additive and Tree-Based
                                  Regression Model Simultaneously: STIMA   514--530
                    Hong Gu and   
                Toby Kenney and   
                         Mu Zhu   Partial Generalized Additive Models: An
                                  Information-Theoretic Approach for
                                  Dealing With Concurvity and Selecting
                                  Variables  . . . . . . . . . . . . . . . 531--551
                Y. Ann Chen and   
           Jonas S. Almeida and   
           Adam J. Richards and   
          Peter Müller and   
         Raymond J. Carroll and   
                 Baerbel Rohrer   A Nonparametric Approach to Detect
                                  Nonlinear Correlation in Gene Expression 552--568
          Curtis B. Storlie and   
          Howard D. Bondell and   
                 Brian J. Reich   A Locally Adaptive Penalty for
                                  Estimation of Functions With Varying
                                  Roughness  . . . . . . . . . . . . . . . 569--589
              Xin-Yuan Song and   
                    Zhao-Hua Lu   Semiparametric Latent Variable Models
                                  With Bayesian P-Splines  . . . . . . . . 590--608
  Kukatharmini Tharmaratnam and   
            Gerda Claeskens and   
           Christophe Croux and   
 Matias Salibián-Barrera   S-Estimation for Penalized Regression
                                  Splines  . . . . . . . . . . . . . . . . 609--625
                     Y. Fan and   
      J.-L. Dortet-Bernadet and   
                   S. A. Sisson   On Bayesian Curve Fitting via Auxiliary
                                  Variables  . . . . . . . . . . . . . . . 626--644
                   Hua Zhou and   
                  Kenneth Lange   MM Algorithms for Some Discrete
                                  Multivariate Distributions . . . . . . . 645--665
               Ian C. Marschner   Stable Computation of Maximum Likelihood
                                  Estimates in Identity Link Poisson
                                  Regression . . . . . . . . . . . . . . . 666--683
  Javier Fernández-Macho   Missing Observations in Spatial Models:
                                  a Spectral EM Algorithm  . . . . . . . . 684--701
                Alfred Kume and   
                    Max Welling   Maximum Likelihood Estimation for the
                                  Offset-Normal Shape Distributions Using
                                  EM . . . . . . . . . . . . . . . . . . . 702--723
               Noel Cressie and   
                    Tao Shi and   
                  Emily L. Kang   Fixed Rank Filtering for Spatio-Temporal
                                  Data . . . . . . . . . . . . . . . . . . 724--745
                Qiang Zhang and   
          Alison Snow Jones and   
               Frank Rijmen and   
                   Edward H. Ip   Multivariate Discrete Hidden Markov
                                  Models for Domain-Based Measurements and
                                  Assessment of Risk Factors in Child
                                  Development  . . . . . . . . . . . . . . 746--765
                      Anonymous   Recent Publications in \booktitleJSS . . 766--767

Journal of Computational and Graphical Statistics
Volume 19, Number 4, December, 2010

                Anthony Lee and   
            Christopher Yau and   
           Michael B. Giles and   
              Arnaud Doucet and   
          Christopher C. Holmes   On the Utility of Graphics Cards to
                                  Perform Massively Parallel Simulation of
                                  Advanced Monte Carlo Methods . . . . . . 769--789
          Alan M. Zaslavsky and   
                Eric T. Bradlow   Posterior Predictive Outlier Detection
                                  Using Sample Reweighting . . . . . . . . 790--807
             Marc G. Genton and   
                Anne Ruiz-Gazen   Visualizing Influential Observations in
                                  Dependent Data . . . . . . . . . . . . . 808--825
                   Fei Chen and   
                Hong-Tu Zhu and   
              Xin-Yuan Song and   
                    Sik-Yum Lee   Perturbation Selection and Local
                                  Influence Analysis for Generalized
                                  Linear Mixed Models  . . . . . . . . . . 826--842
                   Qiang Wu and   
                 Feng Liang and   
                Sayan Mukherjee   Localized Sliced Inverse Regression  . . 843--860
               C. B. Hurley and   
                  R. W. Oldford   Pairwise Display of High-Dimensional
                                  Information via Eulerian Tours and
                                  Hamiltonian Decompositions . . . . . . . 861--886
                Li-Ping Zhu and   
              Xiangrong Yin and   
                    Li-Xing Zhu   Dimension Reduction via an Alternating
                                  Inverse Regression . . . . . . . . . . . 887--899
          Jean-Eudes Dazard and   
                   J. Sunil Rao   Local Sparse Bump Hunting  . . . . . . . 900--929
                   Jian Guo and   
               Gareth James and   
           Elizaveta Levina and   
         George Michailidis and   
                         Ji Zhu   Principal Component Analysis With Sparse
                                  Fused Loadings . . . . . . . . . . . . . 930--946
            Adam J. Rothman and   
           Elizaveta Levina and   
                         Ji Zhu   Sparse Multivariate Regression With
                                  Covariance Estimation  . . . . . . . . . 947--962
           Hsin-Cheng Huang and   
               Nan-Jung Hsu and   
          David M. Theobald and   
                  F. Jay Breidt   Spatial Lasso With Applications to GIS
                                  Model Selection  . . . . . . . . . . . . 963--983
                Holger Hoefling   A Path Algorithm for the Fused Lasso
                                  Signal Approximator  . . . . . . . . . . 984--1006
           Yoshihiro Hirose and   
                Fumiyasu Komaki   An Extension of Least Angle Regression
                                  Based on the Information Geometry of
                                  Dually Flat Spaces . . . . . . . . . . . 1007--1023
                     Kengo Kato   Solving $\ell_1$ Regularization Problems
                                  With Piecewise Linear Losses . . . . . . 1024--1040
                      Anonymous   Recent Publications in \booktitleJSS . . 1041--1043
                      Anonymous   Editorial Collaborators  . . . . . . . . 1044--1046
                      Anonymous   Index to Volume 19 (2010)  . . . . . . . 1047--1051


Journal of Computational and Graphical Statistics
Volume 20, Number 1, March, 2011

              Richard A. Levine   Editorial: On Volume 20 and On Review
                                  Times  . . . . . . . . . . . . . . . . . 1--2
                  Andrew Gelman   Why Tables Are Really Much Better Than
                                  Graphs . . . . . . . . . . . . . . . . . 3--7
                  Howard Wainer   Comment: Why Tables Are Really Much
                                  Better Than Graphs . . . . . . . . . . . 8--15
              William M. Briggs   Comment: Why Tables Are Really Much
                                  Better Than Graphs . . . . . . . . . . . 16--17
           Michael Friendly and   
                    Ernest Kwan   Comment: Why Tables Are Really Much
                                  Better Than Graphs . . . . . . . . . . . 18--27
                   Graham Wills   Comment: Why Tables Are Really Much
                                  Better Than Graphs . . . . . . . . . . . 28--35
                  Andrew Gelman   Rejoinder: Why Tables Are Really Much
                                  Better Than Graphs . . . . . . . . . . . 36--40
          Timothy E. Hanson and   
 João V. D. Monteiro and   
                 Alejandro Jara   The Polya Tree Sampler: Toward Efficient
                                  and Automatic Independent
                                  Metropolis--Hastings Proposals . . . . . 41--62
                    Yan Bai and   
              Radu V. Craiu and   
            Antonio F. Di Narzo   Divide and Conquer: a Mixture-Based
                                  Approach to Regional Adaptation for MCMC 63--79
           Merlise A. Clyde and   
                Joyee Ghosh and   
             Michael L. Littman   Bayesian Adaptive Sampling for Variable
                                  Selection and Model Averaging  . . . . . 80--101
          Robert B. Gramacy and   
             Nicholas G. Polson   Particle Learning of Gaussian Process
                                  Models for Sequential Design and
                                  Optimization . . . . . . . . . . . . . . 102--118
              Nick Whiteley and   
           Adam M. Johansen and   
                  Simon Godsill   Monte Carlo Filtering of Piecewise
                                  Deterministic Processes  . . . . . . . . 119--139
              Alex Lenkoski and   
                   Adrian Dobra   Computational Aspects Related to
                                  Inference in Gaussian Graphical Models
                                  With the $G$-Wishart Prior . . . . . . . 140--157
                  Taeyoung Park   Bayesian Analysis of Individual Choice
                                  Behavior With Aggregate Data . . . . . . 158--173
                 Sally Wood and   
                  Ori Rosen and   
                    Robert Kohn   Bayesian Mixtures of Autoregressive
                                  Models . . . . . . . . . . . . . . . . . 174--195
              Lianming Wang and   
                David B. Dunson   Fast Bayesian Inference in Dirichlet
                                  Process Mixture Models . . . . . . . . . 196--216
               Jennifer L. Hill   Bayesian Nonparametric Modeling for
                                  Causal Inference . . . . . . . . . . . . 217--240
             Jim E. Griffin and   
              Stephen G. Walker   Posterior Simulation of Normalized
                                  Random Measure Mixtures  . . . . . . . . 241--259
          Peter Müller and   
          Fernando Quintana and   
                 Gary L. Rosner   A Product Partition Model With
                                  Regression on Covariates . . . . . . . . 260--278
                      Anonymous   Recent Publications in \booktitleJSS . . 279--280

Journal of Computational and Graphical Statistics
Volume 20, Number 2, June, 2011

                 Hadley Wickham   ASA 2009 Data Expo . . . . . . . . . . . 281--283
                   Rick Wicklin   Visualizing Airline Delays and
                                  Cancelations . . . . . . . . . . . . . . 284--286
              Heike Hofmann and   
                Dianne Cook and   
              Chris Kielion and   
           Barret Schloerke and   
                  Jon Hobbs and   
                   Adam Loy and   
            Lawrence Mosley and   
              David Rockoff and   
             Yuanyuan Huang and   
          Danielle Wrolstad and   
                    Tengfei Yin   Delayed, Canceled, on Time,
                                  Boarding\ldots Flying in the USA . . . . 287--290
              Charlotte Wickham   A Tale of Two Airports: Exploring Flight
                                  Traffic at SFO and OAK . . . . . . . . . 291--293
                Tanujit Dey and   
          David J. Phillips and   
                 Patrick Steele   A Graphical Tool to Visualize Predicted
                                  Minimum Delay Flights  . . . . . . . . . 294--297
           Rida E. Moustafa and   
                Ali S. Hadi and   
           Jürgen Symanzik   Multi-Class Data Exploration Using Space
                                  Transformed Visualization Plots  . . . . 298--315
                   Ying Sun and   
                 Marc G. Genton   Functional Boxplots  . . . . . . . . . . 316--334
            Michael Hahsler and   
                    Kurt Hornik   Dissimilarity Plots: a Visual
                                  Exploration Tool for Partitional
                                  Clustering . . . . . . . . . . . . . . . 335--354
            Scott D. Foster and   
             Mark V. Bravington   Graphical Diagnostics for Markov Models
                                  for Categorical Data . . . . . . . . . . 355--374
          Shyamsundar Sahoo and   
               Debasis Sengupta   Some Diagnostic Plots and Corrective
                                  Adjustments for the Proportional Hazards
                                  Regression Model . . . . . . . . . . . . 375--394
                  Henry Pao and   
        Glen A. Coppersmith and   
                Carey E. Priebe   Statistical Inference on Random Graphs:
                                  Comparative Power Analyses via Monte
                                  Carlo  . . . . . . . . . . . . . . . . . 395--416
               Ping-Feng Xu and   
                Jianhua Guo and   
                      Xuming He   An Improved Iterative Proportional
                                  Scaling Procedure for Gaussian Graphical
                                  Models . . . . . . . . . . . . . . . . . 417--431
                 Arne Kovac and   
          Andrew D. A. C. Smith   Nonparametric Regression on a Graph  . . 432--447
                  W. S. Lok and   
              Stephen M. S. Lee   Robustness Diagnosis for Bootstrap
                                  Inference  . . . . . . . . . . . . . . . 448--460
            Jeffrey D. Hart and   
          Isabel Cañette   Nonparametric Estimation of
                                  Distributions in Random Effects Models   461--478
           George O. Mohler and   
         Andrea L. Bertozzi and   
        Thomas A. Goldstein and   
               Stanley J. Osher   Fast TV Regularization for $2$D Maximum
                                  Penalized Likelihood Estimation  . . . . 479--491
                Angelo Elmi and   
         Sarah J. Ratcliffe and   
               Samuel Parry and   
                   Wensheng Guo   A B-Spline Based Semiparametric
                                  Nonlinear Mixed Effects Model  . . . . . 492--509
                Hee-Seok Oh and   
           Thomas C. M. Lee and   
              Douglas W. Nychka   Fast Nonparametric Quantile Regression
                                  With Arbitrary Smoothing Methods . . . . 510--526
                      Anonymous   Recent Publications in \booktitleJSS . . 527--529

Journal of Computational and Graphical Statistics
Volume 20, Number 3, September, 2011

                  Yaming Yu and   
                   Xiao-Li Meng   To Center or Not to Center: That Is Not
                                  the Question---An
                                  Ancillarity--Sufficiency Interweaving
                                  Strategy (ASIS) for Boosting MCMC
                                  Efficiency . . . . . . . . . . . . . . . 531--570
            James P. Hobert and   
      Jorge Carlos Román   Comment: To Center or Not to Center:
                                  That Is Not the Question---An
                                  Ancillarity--Sufficiency Interweaving
                                  Strategy (ASIS) for Boosting MCMC
                                  Efficiency . . . . . . . . . . . . . . . 571--580
                   Ying Nian Wu   Data Augmentation, Internal
                                  Representation, and Unsupervised
                                  Learning . . . . . . . . . . . . . . . . 581--583
               Brandon C. Kelly   Comment: Data Augmentation, Internal
                                  Representation, and Unsupervised
                                  Learning . . . . . . . . . . . . . . . . 584--591
        O. Papaspiliopoulos and   
              G. O. Roberts and   
                   G. Sermaidis   Whether 'tis Nobler in the Mind to
                                  Suffer the Slings and Arrows of
                                  Outrageous Mixing Problems, or to Take
                                  Arms Against a Sea of Troubles, and by
                                  Opposing End Them? . . . . . . . . . . . 592--602
                  Yaming Yu and   
                   Xiao-Li Meng   Rejoinder: Be All Our Insomnia
                                  Remembered\ldots . . . . . . . . . . . . 603--615
                   P. Jacob and   
               C. P. Robert and   
                    M. H. Smith   Using Parallel Computation to Improve
                                  Independent Metropolis--Hastings Based
                                  Estimation . . . . . . . . . . . . . . . 616--635
           Nikolay Bliznyuk and   
              David Ruppert and   
         Christine A. Shoemaker   Efficient Interpolation of
                                  Computationally Expensive Posterior
                                  Densities With Variable Parameter Costs  636--655
            Björn Bornkamp   Approximating Probability Densities by
                                  Iterated Laplace Approximations  . . . . 656--669
      Dilan Görür and   
                   Yee Whye Teh   Concave-Convex Adaptive Rejection
                                  Sampling . . . . . . . . . . . . . . . . 670--691
          Stephen G. Walker and   
        Purushottam W. Laud and   
         Daniel Zantedeschi and   
                    Paul Damien   Direct Sampling  . . . . . . . . . . . . 692--713
               Guosheng Yin and   
                 Yanyuan Ma and   
               Faming Liang and   
                      Ying Yuan   Stochastic Generalized Method of Moments 714--727
           Olivier Cappé   Online EM Algorithm for Hidden Markov
                                  Models . . . . . . . . . . . . . . . . . 728--749
          Chun-Po Steve Fan and   
             Jamie Stafford and   
               Patrick E. Brown   Local-EM and the EMS Algorithm . . . . . 750--766
              Radu V. Craiu and   
           Thierry Duchesne and   
              Daniel Fortin and   
             Sophie Baillargeon   Conditional Logistic Regression With
                                  Longitudinal Follow-up and
                                  Individual-Level Random Coefficients: a
                                  Stable and Efficient Two-Step Estimation
                                  Method . . . . . . . . . . . . . . . . . 767--784
             Joseph J. Locascio   Letter to the Editor . . . . . . . . . . 785--786
                Hee-Seok Oh and   
           Thomas C. M. Lee and   
              Douglas W. Nychka   Correction to ``Fast Nonparametric
                                  Quantile Regression With Arbitrary
                                  Smoothing Methods'' published in the
                                  Journal of Computational and Graphical
                                  Statistics, 20, 510--526 . . . . . . . . 787--788
                      Anonymous   Recent Publications in \booktitleJSS . . 789--792

Journal of Computational and Graphical Statistics
Volume 20, Number 4, December, 2011

        Richard A. Feinberg and   
                  Howard Wainer   Extracting Sunbeams From Cucumbers . . . 793--810
                Mitchell Watnik   Early Computational Statistics . . . . . 811--817
                 Arnold Goodman   JCGS@20, Visuals@40, Interface@45 &
                                  !!Challenges!! . . . . . . . . . . . . . 818--829
             Jeff Goldsmith and   
              Jennifer Bobb and   
     Ciprian M. Crainiceanu and   
                Brian Caffo and   
                   Daniel Reich   Penalized Functional Regression  . . . . 830--851
           Vadim Zipunnikov and   
                Brian Caffo and   
            David M. Yousem and   
        Christos Davatzikos and   
          Brian S. Schwartz and   
            Ciprian Crainiceanu   Multilevel Functional Principal
                                  Component Analysis for High-Dimensional
                                  Data . . . . . . . . . . . . . . . . . . 852--873
    Nickolay T. Trendafilov and   
                  Steffen Unkel   Exploratory Factor Analysis of Data
                                  Matrices With More Variables Than
                                  Observations . . . . . . . . . . . . . . 874--891
          Daniela M. Witten and   
         Jerome H. Friedman and   
                     Noah Simon   New Insights and Faster Computations for
                                  the Graphical Lasso  . . . . . . . . . . 892--900
                 Yufeng Liu and   
                      Ming Yuan   Reinforced Multicategory Support Vector
                                  Machines . . . . . . . . . . . . . . . . 901--919
              Nicholas A. Heard   Iterative Reclassification in
                                  Agglomerative Clustering . . . . . . . . 920--936
                  Mark Culp and   
         George Michailidis and   
                  Kjell Johnson   On Adaptive Regularization Methods in
                                  Boosting . . . . . . . . . . . . . . . . 937--955
            Benjamin Hofner and   
            Torsten Hothorn and   
               Thomas Kneib and   
                Matthias Schmid   A Framework for Unbiased Model Selection
                                  Based on Boosting  . . . . . . . . . . . 956--971
              M. R. Osborne and   
                  B. A. Turlach   A Homotopy Algorithm for the Quantile
                                  Regression Lasso and Related Piecewise
                                  Linear Problems  . . . . . . . . . . . . 972--987
                 Peter Hall and   
                    Hugh Miller   Determining and Depicting Relationships
                                  Among Components in High-Dimensional
                                  Variable Selection . . . . . . . . . . . 988--1006
            Nicolai Meinshausen   Partition Maps . . . . . . . . . . . . . 1007--1028
                      Anonymous   Recent Publications in \booktitleJSS . . 1029--1030
                      Anonymous   Editorial Collaborators  . . . . . . . . 1031--1033
                      Anonymous   Index to Volume 20 . . . . . . . . . . . 1034--1038


Journal of Computational and Graphical Statistics
Volume 21, Number 1, 2012

              J. T. Ormerod and   
                     M. P. Wand   Gaussian Variational Approximate
                                  Inference for Generalized Linear Mixed
                                  Models . . . . . . . . . . . . . . . . . 2--17
                  Jien Chen and   
                Nicole A. Lazar   Selection of Working Correlation
                                  Structure in Generalized Estimating
                                  Equations via Empirical Likelihood . . . 18--41
                  Jiguo Cao and   
           Jianhua Z. Huang and   
                       Hulin Wu   Penalized Nonlinear Least Squares
                                  Estimation of Time-Varying Parameters in
                                  Ordinary Differential Equations  . . . . 42--56
              Paul R. Rosenbaum   Optimal Matching of an Optimally Chosen
                                  Subset in Observational Studies  . . . . 57--71
                  Zhou Fang and   
            Nicolai Meinshausen   LASSO Isotone for High-Dimensional
                                  Additive Isotonic Regression . . . . . . 72--91
                  Peng Zeng and   
                Tianhong He and   
                         Yu Zhu   A Lasso-Type Approach for Estimation and
                                  Variable Selection in Single Index
                                  Models . . . . . . . . . . . . . . . . . 92--109
               Z. John Daye and   
                 Jichun Xie and   
                     Hongzhe Li   A Sparse Structured Shrinkage Estimator
                                  for Nonparametric Varying-Coefficient
                                  Model With an Application in Genomics    110--133
               Danilo Lopes and   
  Renato Assunção   Visualizing Marked Spatial and
                                  Origin-Destination Point Patterns With
                                  Dynamically Linked Windows . . . . . . . 134--154
               Michael L. Stein   Simulation of Gaussian Random Fields
                                  With One Derivative  . . . . . . . . . . 155--173
      François Caron and   
                  Arnaud Doucet   Efficient Bayesian Inference for
                                  Generalized Bradley--Terry Models  . . . 174--196
                 Youyi Fong and   
              Jon Wakefield and   
                   Kenneth Rice   An Efficient Markov Chain Monte Carlo
                                  Method for Mixture Models by
                                  Neighborhood Pruning . . . . . . . . . . 197--216
                 David Neto and   
              Sylvain Sardy and   
                     Paul Tseng   l$_1$-Penalized Likelihood Smoothing and
                                  Segmentation of Volatility Processes
                                  Allowing for Abrupt Changes  . . . . . . 217--233
              Antti Solonen and   
              Heikki Haario and   
                    Marko Laine   Simulation-Based Optimal Design Using a
                                  Response Variance Criterion  . . . . . . 234--252
                 Hongtu Zhu and   
          Joseph G. Ibrahim and   
               Hyunsoon Cho and   
                 Niansheng Tang   Bayesian Case Influence Measures for
                                  Statistical Models With Missing Data . . 253--271
                      Anonymous   Recent Publications in \booktitleJSS . . 272--273
              Richard A. Levine   Editorial: Volume 21 Preview and
                                  Manuscript Processing Statistics, in
                                  Brief  . . . . . . . . . . . . . . . . . 1

Journal of Computational and Graphical Statistics
Volume 21, Number 2, 2012

                     Lu Xin and   
                         Mu Zhu   Stochastic Stepwise Ensembles for
                                  Variable Selection . . . . . . . . . . . 275--294
                Funda Gunes and   
              Howard D. Bondell   A Confidence Region Approach to Tuning
                                  for Variable Selection . . . . . . . . . 295--314
               Hyangmin Lee and   
                         Jia Li   Variable Selection for Clustering by
                                  Separability Based on Ridgelines . . . . 315--337
            Jared Schuetter and   
                        Tao Shi   Multiple Sample Data Spectroscopic
                                  Clustering of Large Datasets Using
                                  Nyström Extension . . . . . . . . . . . . 338--360
    Stefano Antonio Gattone and   
                  Roberto Rocci   Clustering Curves on a Reduced Subspace  361--379
              Yair Goldberg and   
                  Ya'acov Ritov   Theoretical Analysis of LLE Based on Its
                                  Weighting Step . . . . . . . . . . . . . 380--393
              Julian J. Faraway   Backscoring in Principal Coordinates
                                  Analysis . . . . . . . . . . . . . . . . 394--412
     Jennifer Le-Rademacher and   
                  Lynne Billard   Symbolic Covariance Principal Component
                                  Analysis and Visualization for
                                  Interval-Valued Data . . . . . . . . . . 413--432
             Benjamin Shaby and   
                  David Ruppert   Tapered Covariance: Bayesian Estimation
                                  and Asymptotics  . . . . . . . . . . . . 433--452
              Jincheol Park and   
                   Faming Liang   Bayesian Analysis of Geostatistical
                                  Models With an Auxiliary Lattice . . . . 453--475
           Nikolay Bliznyuk and   
              David Ruppert and   
         Christine A. Shoemaker   Local Derivative-Free Approximation of
                                  Computationally Expensive Posterior
                                  Densities  . . . . . . . . . . . . . . . 476--495
                   Adrian Dobra   Dynamic Markov Bases . . . . . . . . . . 496--517
                      Yaming Yu   Monotonically Overrelaxed EM Algorithms  518--537
                 Chris Hans and   
            Greg M. Allenby and   
         Peter F. Craigmile and   
                  Juhee Lee and   
       Steven N. MacEachern and   
                       Xinyi Xu   Covariance Decompositions for Accurate
                                  Computation in Bayesian Scale-Usage
                                  Models . . . . . . . . . . . . . . . . . 538--557
                      Anonymous   Recent Publications in \booktitleJSS . . 558--560

Journal of Computational and Graphical Statistics
Volume 21, Number 3, 2012

             Sarah Michalak and   
              Andrew DuBois and   
               David DuBois and   
          Scott Vander Wiel and   
                    John Hogden   Developing Systems for Real-Time
                                  Streaming Analysis . . . . . . . . . . . 561--580
             John Chakerian and   
                   Susan Holmes   Computational Tools for Evaluating
                                  Phylogenetic and Hierarchical Clustering
                                  Trees  . . . . . . . . . . . . . . . . . 581--599
                Yihong Zhao and   
              R. Todd Ogden and   
                Philip T. Reiss   Wavelet-Based LASSO in Functional Linear
                                  Regression . . . . . . . . . . . . . . . 600--617
                 Mia Hubert and   
         Peter J. Rousseeuw and   
                   Tim Verdonck   A Deterministic Algorithm for Robust
                                  Location and Scatter . . . . . . . . . . 618--637
         Anestis Antoniadis and   
            Ir\`ene Gijbels and   
            Anneleen Verhasselt   Variable Selection in
                                  Varying-Coefficient Models Using
                                  P-Splines  . . . . . . . . . . . . . . . 638--661
       Liansheng Larry Tang and   
                  Xiao-Hua Zhou   A Semiparametric Separation Curve
                                  Approach for Comparing Correlated ROC
                                  Data From Multiple Markers . . . . . . . 662--676
            Jörn Dannemann   Semiparametric Hidden Markov Models  . . 677--692
                 Rajib Paul and   
       Steven N. MacEachern and   
               L. Mark Berliner   Assessing Convergence and Mixing of MCMC
                                  Implementations via Stratification . . . 693--712
              George S. Fishman   Counting Contingency Tables via
                                  Multistage Markov Chain Monte Carlo  . . 713--738
              Aline Talhouk and   
              Arnaud Doucet and   
                   Kevin Murphy   Efficient Bayesian Inference for
                                  Multivariate Probit Models With Sparse
                                  Inverse Correlation Matrices . . . . . . 739--757
     Håkon Tjelmeland and   
          Haakon Michael Austad   Exact and Approximate Recursive
                                  Calculations for Binary Markov Random
                                  Fields Defined on Graphs . . . . . . . . 758--780
           Clare A. McGrory and   
         Anthony N. Pettitt and   
              Robert Reeves and   
               Mark Griffin and   
                     Mark Dwyer   Variational Bayes and the Reduced
                                  Dependence Approximation for the
                                  Autologistic Model on an Irregular Grid
                                  With Applications  . . . . . . . . . . . 781--796
              David J. Nott and   
                Siew Li Tan and   
            Mattias Villani and   
                    Robert Kohn   Regression Density Estimation With
                                  Variational Methods and Stochastic
                                  Approximation  . . . . . . . . . . . . . 797--820
                      Anonymous   Recent Publications in \booktitleJSS . . 821--822
                      Anonymous   Erratum and Addendum to: ``Covariance
                                  Tapering for Interpolation of Large
                                  Spatial Datasets'' published in the \em
                                  Journal of Computational and Graphical
                                  Statistics, \bf 15, 502--523 . . . . . . 823--824

Journal of Computational and Graphical Statistics
Volume 21, Number 4, 2012

            Stephen E. Fienberg   A Brief History of Statistical Models
                                  for Network Analysis and Open Challenges 825--839
             George Michailidis   Statistical Challenges in Biological
                                  Networks . . . . . . . . . . . . . . . . 840--855
            David R. Hunter and   
         Pavel N. Krivitsky and   
          Michael Schweinberger   Computational Statistical Methods for
                                  Social Network Models  . . . . . . . . . 856--882
                  Thomas Suesse   Marginalized Exponential Random Graph
                                  Models . . . . . . . . . . . . . . . . . 883--900
          Adrian E. Raftery and   
                Xiaoyue Niu and   
              Peter D. Hoff and   
                   Ka Yee Yeung   Fast Inference for the Latent Space
                                  Network Model Using a Case-Control
                                  Approximate Likelihood . . . . . . . . . 901--919
             Ruth M. Hummel and   
            David R. Hunter and   
               Mark S. Handcock   Improving Simulation-Based Algorithms
                                  for Fitting ERGMs  . . . . . . . . . . . 920--939
             Richard G. Everitt   Bayesian Parameter Estimation for Latent
                                  Markov Random Fields and Social Networks 940--960
              Stephen Walsh and   
                   Paul Whitney   A Graphical Approach to Diagnosing the
                                  Validity of the Conditional Independence
                                  Assumptions of a Bayesian Network Given
                                  Data . . . . . . . . . . . . . . . . . . 961--978
                      Anonymous   Recent Publications in \booktitleJSS . . 979--980
                      Anonymous   Editorial Board EOV  . . . . . . . . . . ebi--ebi


Journal of Computational and Graphical Statistics
Volume 22, Number 1, 2013

              Richard A. Levine   Editorial: Volume 22 Preview and
                                  Manuscript Processing Statistics, in
                                  Brief  . . . . . . . . . . . . . . . . . 1--1
              Andrew Gelman and   
                   Antony Unwin   Infovis and Statistical Graphics:
                                  Different Goals, Different Looks . . . . 2--28
                  Robert Kosara   InfoVis Is So Much More: a Comment on
                                  Gelman and Unwin and an Invitation to
                                  Consider the Opportunities . . . . . . . 29--32
                   Paul Murrell   InfoVis and Statistical Graphics:
                                  Comment  . . . . . . . . . . . . . . . . 33--37
                 Hadley Wickham   Graphical Criticism: Some Historical
                                  Notes  . . . . . . . . . . . . . . . . . 38--44
              Andrew Gelman and   
                   Antony Unwin   Tradeoffs in Information Graphics  . . . 45--49
               Michael Friendly   The Generalized Ridge Trace Plot:
                                  Visualizing Bias and Precision . . . . . 50--68
           Marko A. A. Boon and   
         John H. J. Einmahl and   
                Ian W. McKeague   Visualizing Multiple Quantile Plots  . . 69--78
            John W. Emerson and   
            Walton A. Green and   
           Barret Schloerke and   
              Jason Crowley and   
                Dianne Cook and   
              Heike Hofmann and   
                 Hadley Wickham   The Generalized Pairs Plot . . . . . . . 79--91
                 Jan Graffelman   Linear-Angle Correlation Plots: New
                                  Graphs for Revealing Correlation
                                  Structure  . . . . . . . . . . . . . . . 92--106
              Michael Greenacre   Contribution Biplots . . . . . . . . . . 107--122
              Silvia Cecere and   
      Patrick J. F. Groenen and   
              Emmanuel Lesaffre   The Interval-Censored Biplot . . . . . . 123--134
       Dankmar Böhning and   
             M. Fazil Baksh and   
       Rattana Lerdsuwansri and   
                James Gallagher   Use of the Ratio Plot in
                                  Capture-Recapture Estimation . . . . . . 135--155
               Gerhard Tutz and   
            Gunther Schauberger   Visualization of Categorical Response
                                  Models: From Data Glyphs to Parameter
                                  Glyphs . . . . . . . . . . . . . . . . . 156--177
                    Junhui Wang   Boosting the Generalized Margin in
                                  Cost-Sensitive Multiclass Classification 178--192
              Samuel Gerber and   
          Oliver Rübel and   
           Peer-Timo Bremer and   
           Valerio Pascucci and   
               Ross T. Whitaker   Morse--Smale Regression  . . . . . . . . 193--214
              Ross McVinish and   
           Kerrie Mengersen and   
               Darfiana Nur and   
            Judith Rousseau and   
     Chantal Guihenneuc-Jouyaux   Recentered Importance Sampling With
                                  Applications to Bayesian Model
                                  Validation . . . . . . . . . . . . . . . 215--228
                      Anonymous   Recent Publications in \booktitleJSS . . 229--230

Journal of Computational and Graphical Statistics
Volume 22, Number 2, 2013

                 Noah Simon and   
            Jerome Friedman and   
              Trevor Hastie and   
              Robert Tibshirani   A Sparse-Group Lasso . . . . . . . . . . 231--245
            Nicholas A. Johnson   A Dynamic Programming Algorithm for the
                                  Fused Lasso and $ L_0 $-Segmentation . . 246--260
                   Hua Zhou and   
                  Kenneth Lange   A Path Algorithm for Constrained
                                  Estimation . . . . . . . . . . . . . . . 261--283
              Genevera I. Allen   Automatic Feature Selection via Weighted
                                  Kernels and Regularization . . . . . . . 284--299
                      Mark Culp   On the Semisupervised Joint Trained
                                  Elastic Net  . . . . . . . . . . . . . . 300--318
            Dhruv B. Sharma and   
          Howard D. Bondell and   
                Hao Helen Zhang   Consistent Group Identification and
                                  Variable Selection in Regression With
                                  Correlated Predictors  . . . . . . . . . 319--340
               Bingqing Lin and   
                  Zhen Pang and   
                   Jiming Jiang   Fixed and Random Effects Selection by
                                  REML and Pathwise Coordinate
                                  Optimization . . . . . . . . . . . . . . 341--355
               Gerhard Tutz and   
                  Andreas Groll   Likelihood-Based Boosting in Binary and
                                  Ordinal Random Effects Models  . . . . . 356--378
                  Yichao Wu and   
                     Yufeng Liu   Functional Robust Support Vector
                                  Machines for Sparse and Irregular
                                  Longitudinal Data  . . . . . . . . . . . 379--395
                    Yi Yang and   
                        Hui Zou   An Efficient Algorithm for Computing the
                                  HHSVM and Its Generalizations  . . . . . 396--415
                  Yichao Wu and   
                     Yufeng Liu   Adaptively Weighted Large Margin
                                  Classifiers  . . . . . . . . . . . . . . 416--432
              Myung Hee Lee and   
              Jeongyoun Ahn and   
                    Yongho Jeon   HDLSS Discrimination With Adaptive Data
                                  Piling . . . . . . . . . . . . . . . . . 433--451
           Raymond Chambers and   
                  Hukum Chandra   A Random Effect Block Bootstrap for
                                  Clustered Data . . . . . . . . . . . . . 452--470
          Frederik Michiels and   
                Ann De Schepper   A New Graphical Tool for Copula
                                  Selection  . . . . . . . . . . . . . . . 471--493
                Xinwei Deng and   
                   Kam-Wah Tsui   Penalized Covariance Matrix Estimation
                                  Using a Matrix-Logarithm Transformation  494--512
                      Anonymous   Recent Publications in \booktitleJSS . . 513--514

Journal of Computational and Graphical Statistics
Volume 22, Number 3, 2013

                    Rich Levine   Editorial  . . . . . . . . . . . . . . . 515--517
                     Nial Friel   Evidence and Bayes Factor Estimation for
                                  Gibbs Random Fields  . . . . . . . . . . 518--532
                  N. Chopin and   
                J. Rousseau and   
                       B. Liseo   Computational Aspects of Bayesian
                                  Spectral Density Estimation  . . . . . . 533--557
                 Reza Solgi and   
                Antonietta Mira   A Bayesian Semiparametric Multiplicative
                                  Error Model With an Application to
                                  Realized Volatility  . . . . . . . . . . 558--583
              Lionel Cucala and   
              Jean-Michel Marin   Bayesian Inference on a Mixture Model
                                  With Spatial Dependence  . . . . . . . . 584--597
                 Xiaojin Xu and   
               Xiao-Li Meng and   
                      Yaming Yu   Thank God That Regressing $Y$ on $X$ is
                                  Not the Same as Regressing $X$ on $Y$:
                                  Direct and Indirect Residual
                                  Augmentations  . . . . . . . . . . . . . 598--622
       Georgios Karagiannis and   
             Christophe Andrieu   Annealed Importance Sampling Reversible
                                  Jump MCMC Algorithms . . . . . . . . . . 623--648
          Blazej Miasojedow and   
              Eric Moulines and   
                   Matti Vihola   An Adaptive Parallel Tempering Algorithm 649--664
    Omiros Papaspiliopoulos and   
          Gareth O. Roberts and   
                  Osnat Stramer   Data Augmentation for Diffusions . . . . 665--688
                   Hao Wang and   
               Natesh S. Pillai   On a Class of Shrinkage Priors for
                                  Covariance Matrix Estimation . . . . . . 689--707
                 Chunlin Ji and   
             Scott C. Schmidler   Adaptive Markov Chain Monte Carlo for
                                  Bayesian Variable Selection  . . . . . . 708--728
          Demetris Lamnisos and   
             Jim E. Griffin and   
               Mark F. J. Steel   Adaptive Monte Carlo for Bayesian
                                  Variable Selection in Regression Models  729--748
                 Luke Bornn and   
            Pierre E. Jacob and   
           Pierre Del Moral and   
                  Arnaud Doucet   An Adaptive Interacting Wang--Landau
                                  Algorithm for Automatic Density
                                  Exploration  . . . . . . . . . . . . . . 749--773
                      Anonymous   Recent Publications in \booktitleJSS . . 774--775

Journal of Computational and Graphical Statistics
Volume 22, Number 4, 2013

            Dawn B. Woodard and   
        Ciprian Crainiceanu and   
                  David Ruppert   Hierarchical Adaptive Regression Kernels
                                  for Regression With Functional
                                  Predictors . . . . . . . . . . . . . . . 777--800
Isadora Antoniano-Villalobos and   
              Stephen G. Walker   Bayesian Nonparametric Inference for the
                                  Power Likelihood . . . . . . . . . . . . 801--813
             Paolo Giordani and   
                 Xiuyan Mun and   
             Minh-Ngoc Tran and   
                    Robert Kohn   Flexible Multivariate Density Estimation
                                  With Marginal Adaptation . . . . . . . . 814--829
             Stefano Favaro and   
              Stephen G. Walker   Slice Sampling $ \sigma $-Stable
                                  Poisson--Kingman Mixture Models  . . . . 830--847
              Ethan Anderes and   
         Raphaël Huser and   
             Douglas Nychka and   
                     Marc Coram   Nonstationary Positive Definite Tapering
                                  On The Plane . . . . . . . . . . . . . . 848--865
               Michael L. Stein   Statistical Properties of Covariance
                                  Tapers . . . . . . . . . . . . . . . . . 866--885
            Adrian Baddeley and   
               Ya-Mei Chang and   
                  Yong Song and   
                    Rolf Turner   Residual Diagnostics for Covariate
                                  Effects in Spatial Point Process Models  886--905
             Sinan Yildirim and   
         Sumeetpal S. Singh and   
                  Arnaud Doucet   An Online Expectation-Maximization
                                  Algorithm for Changepoint Models . . . . 906--926
               Ick Hoon Jin and   
                   Faming Liang   Fitting Social Network Models Using
                                  Varying Truncation Stochastic
                                  Approximation MCMC Algorithm . . . . . . 927--952
               Hanwen Huang and   
                 Yufeng Liu and   
                    Ying Du and   
           Charles M. Perou and   
              D. Neil Hayes and   
            Michael J. Todd and   
                   J. S. Marron   Multiclass Distance-Weighted
                                  Discrimination . . . . . . . . . . . . . 953--969
               Liewen Jiang and   
           Huixia Judy Wang and   
              Howard D. Bondell   Interquantile Shrinkage in Regression
                                  Models . . . . . . . . . . . . . . . . . 970--986
                      Anonymous   Recent Publications in \booktitleJSS . . 987--988
                      Anonymous   Editorial Collaborators  . . . . . . . . 989--992
                      Anonymous   Statement of Removal . . . . . . . . . . 994--994
                      Anonymous   EOV Editorial Board  . . . . . . . . . . ebi--ebi


Journal of Computational and Graphical Statistics
Volume 23, Number 1, 2014

               Thomas C. M. Lee   Editorial  . . . . . . . . . . . . . . . 1--2
    Christopher C. Drovandi and   
            James M. McGree and   
             Anthony N. Pettitt   A Sequential Monte Carlo Algorithm to
                                  Incorporate Model Uncertainty in
                                  Bayesian Sequential Design . . . . . . . 3--24
 Carlos E. Rodríguez and   
              Stephen G. Walker   Label Switching in Bayesian Mixture
                                  Models: Deterministic Relabeling
                                  Strategies . . . . . . . . . . . . . . . 25--45
             Jeff Goldsmith and   
                  Lei Huang and   
         Ciprian M. Crainiceanu   Smooth Scalar-on-Image Regression via
                                  Spatial Bayesian Variable Selection  . . 46--64
                 D. J. Nott and   
                     Y. Fan and   
                L. Marshall and   
                   S. A. Sisson   Approximate Bayesian Computation and
                                  Bayes' Linear Analysis: Toward
                                  High-Dimensional ABC . . . . . . . . . . 65--86
              Eric Ruggieri and   
            Charles E. Lawrence   The Bayesian Change Point and Variable
                                  Selection Algorithm: Application to the
                                  $ \delta^{18} O $ Proxy Record of the
                                  Plio-Pleistocene . . . . . . . . . . . . 87--110
                Eric C. Chi and   
                 David W. Scott   Robust Parametric Classification and
                                  Variable Selection by a Minimum Distance
                                  Criterion  . . . . . . . . . . . . . . . 111--128
          Waley W. J. Liang and   
            Jacob B. Colvin and   
         Bruno Sansó and   
              Herbert K. H. Lee   Modeling and Anomalous Cluster Detection
                                  for Point Processes Using Process
                                  Convolutions . . . . . . . . . . . . . . 129--150
              Chien-Yu Peng and   
                  C. F. Jeff Wu   On the Choice of Nugget in Kriging
                                  Modeling for Deterministic Computer
                                  Experiments  . . . . . . . . . . . . . . 151--168
                    Kai Cui and   
                David B. Dunson   Generalized Dynamic Factor Models for
                                  Mixed-Measurement Time Series  . . . . . 169--191
                 Ronny Luss and   
                 Saharon Rosset   Generalized Isotonic Regression  . . . . 192--210
          Dávid Papp and   
                 Farid Alizadeh   Shape-Constrained Estimation Using
                                  Nonnegative Splines  . . . . . . . . . . 211--231
            Philip T. Reiss and   
                  Lei Huang and   
              Yin-Hsiu Chen and   
                    Lan Huo and   
            Thaddeus Tarpey and   
                 Maarten Mennes   Massively Parallel Nonparametric
                                  Regression, With an Application to
                                  Developmental Brain Mapping  . . . . . . 232--248
           Mathew W. Mclean and   
               Giles Hooker and   
           Ana-Maria Staicu and   
             Fabian Scheipl and   
                  David Ruppert   Functional Generalized Additive Models   249--269
         Raymond K. W. Wong and   
                   Fang Yao and   
               Thomas C. M. Lee   Robust Estimation for Generalized
                                  Additive Models  . . . . . . . . . . . . 270--289
               Michael Friendly   Comment on \booktitleThe Generalized
                                  Pairs Plot . . . . . . . . . . . . . . . 290--291
                      Anonymous   Recent Publications in \booktitleJSS . . 292--293

Journal of Computational and Graphical Statistics
Volume 23, Number 2, 2014

                 Jo Eidsvik and   
          Benjamin A. Shaby and   
             Brian J. Reich and   
            Matthew Wheeler and   
                    Jarad Niemi   Estimation and Prediction in Spatial
                                  Models With Block Composite Likelihoods  295--315
 Eftychios A. Pnevmatikakis and   
         Kamiar Rahnama Rad and   
           Jonathan Huggins and   
                  Liam Paninski   Fast Kalman Filtering and
                                  Forward-Backward Smoothing via a
                                  Low-Rank Perturbative Approach . . . . . 316--339
     L. A. S. Scott-Hayward and   
            M. L. Mackenzie and   
              C. R. Donovan and   
               C. G. Walker and   
                        E. Ashe   Complex Region Spatial Smoother (CReSS)  340--360
          Jianqiang C. Wang and   
                  Trevor Hastie   Boosted Varying-Coefficient Regression
                                  Models for Product Demand Prediction . . 361--382
             Seung Jun Shin and   
                  Yichao Wu and   
                Hao Helen Zhang   Two-Dimensional Solution Surface for
                                  Weighted Support Vector Machines . . . . 383--402
                      Jiyao Kou   Estimating the Number of Clusters via
                                  the GUD Statistic  . . . . . . . . . . . 403--417
                   Dan Shen and   
               Haipeng Shen and   
            Shankar Bhamidi and   
Yolanda Muñoz Maldonado and   
                Yongdai Kim and   
                   J. S. Marron   Functional Data Analysis of Tree Data
                                  Objects  . . . . . . . . . . . . . . . . 418--438
                    Han Liu and   
                   Lie Wang and   
                       Tuo Zhao   Sparse Covariance Matrix Estimation With
                                  Eigenvalue Constraints . . . . . . . . . 439--459
     Jürg Schelldorfer and   
                Lukas Meier and   
            Peter Bühlmann   GLMMLasso: An Algorithm for
                                  High-Dimensional Generalized Linear
                                  Mixed Models Using $ l_1 $-Penalization  460--477
               Bingqing Lin and   
                      Zhen Pang   Tilted Correlation Screening Learning in
                                  High-Dimensional Data Analysis . . . . . 478--496
               Ngoc Anh Dao and   
                 Marc G. Genton   A Monte Carlo-Adjusted Goodness-of-Fit
                                  Test for Parametric Models Describing
                                  Spatial Point Patterns . . . . . . . . . 497--517
                 Ari Pakman and   
                  Liam Paninski   Exact Hamiltonian Monte Carlo for
                                  Truncated Multivariate Gaussians . . . . 518--542
         Matthew M. Tibbits and   
            Chris Groendyke and   
               Murali Haran and   
                John C. Liechty   Automated Factor Slice Sampling  . . . . 543--563
                Siew Li Tan and   
                  David J. Nott   Variational Approximation for Mixtures
                                  of Linear Mixed Models . . . . . . . . . 564--585
                      Anonymous   Recent Publications in \em JSS . . . . . 586--588

Journal of Computational and Graphical Statistics
Volume 23, Number 3, 2014

                    J. Luts and   
               T. Broderick and   
                     M. P. Wand   Real-Time Semiparametric Regression  . . 589--615
            Hannes Helgason and   
             Vladas Pipiras and   
                   Patrice Abry   Smoothing Windows for the Synthesis of
                                  Gaussian Stationary Random Fields Using
                                  Circulant Matrix Embedding . . . . . . . 616--635
                   Ying Nan and   
                    Yuhong Yang   Variable Selection Diagnostics Measures
                                  for High-Dimensional Regression  . . . . 636--656
              Cheolwoo Park and   
                 Jan Hannig and   
                  Kee-Hoon Kang   Nonparametric Comparison of Multiple
                                  Regression Curves in Scale-Space . . . . 657--677
              John Tyssedal and   
                  Ranveig Niemi   Graphical Aids for the Analysis of
                                  Two-Level Nonregular Designs . . . . . . 678--699
              Marius Hofert and   
            Martin Mächler   A Graphical Goodness-of-Fit Test for
                                  Dependence Models in Higher Dimensions   700--716
            Alejandro Murua and   
                 Nicolas Wicker   The Conditional-Potts Clustering Model   717--739
               Soo-Heang Eo and   
                   HyungJun Cho   Tree-Structured Mixed-Effects Regression
                                  Modeling for Longitudinal Data . . . . . 740--760
Eduardo García-Portugués and   
Wenceslao González-Manteiga and   
           Manuel Febrero-Bande   A Goodness-of-Fit Test for the
                                  Functional Linear Model with Scalar
                                  Response . . . . . . . . . . . . . . . . 761--778
                   Lan Zhou and   
                     Huijun Pan   Principal Component Analysis of
                                  Two-Dimensional Functional Data  . . . . 779--801
           Bledar A. Konomi and   
                Huiyan Sang and   
                Bani K. Mallick   Adaptive Bayesian Nonstationary Modeling
                                  for Large Spatial Datasets Using
                                  Covariance Approximations  . . . . . . . 802--829
         Matthew T. Pratola and   
            Hugh A. Chipman and   
          James R. Gattiker and   
            David M. Higdon and   
           Robert McCulloch and   
                William N. Rust   Parallel Bayesian Additive Regression
                                  Trees  . . . . . . . . . . . . . . . . . 830--852
              Benjamin A. Shaby   The Open-Faced Sandwich Adjustment for
                                  MCMC Using Estimating Functions  . . . . 853--876
                     Fan Li and   
            Michela Baccini and   
            Fabrizia Mealli and   
          Elizabeth R. Zell and   
   Constantine E. Frangakis and   
                Donald B. Rubin   Multiple Imputation by Ordered Monotone
                                  Blocks With Application to the Anthrax
                                  Vaccine Research Program . . . . . . . . 877--892
                      Anonymous   Recent Publications in JSS . . . . . . . 893--894

Journal of Computational and Graphical Statistics
Volume 23, Number 4, 2014

                   Tuo Zhao and   
             Kathryn Roeder and   
                        Han Liu   Positive Semidefinite Rank-Based
                                  Correlation Matrix Estimation With
                                  Application to Semiparametric Graph
                                  Estimation . . . . . . . . . . . . . . . 895--922
                   Dan Yang and   
                Zongming Ma and   
                   Andreas Buja   A Sparse Singular Value Decomposition
                                  Method for High-Dimensional Data . . . . 923--942
               Shawn Mankad and   
             George Michailidis   Biclustering Three-Dimensional Data
                                  Arrays With Plaid Models . . . . . . . . 943--965
              J. T. Gaskins and   
              M. J. Daniels and   
                   B. H. Marcus   Sparsity Inducing Prior Distributions
                                  for Correlation Matrices of Longitudinal
                                  Data . . . . . . . . . . . . . . . . . . 966--984
              Kean Ming Tan and   
              Daniela M. Witten   Sparse Biclustering of Transposable Data 985--1008
                      Yi Yu and   
                      Yang Feng   Modified Cross-Validation for Penalized
                                  High-Dimensional Linear Regression
                                  Models . . . . . . . . . . . . . . . . . 1009--1027
                   Yuan Xue and   
                  Xiangrong Yin   Sufficient Dimension Folding for
                                  Regression Mean Function . . . . . . . . 1028--1043
                   Il Do Ha and   
                Jianxin Pan and   
              Seungyoung Oh and   
                    Youngjo Lee   Variable Selection in General Frailty
                                  Models Using Penalized $H$-Likelihood    1044--1060
    Daniel Manrique-Vallier and   
               Jerome P. Reiter   Bayesian Estimation of Discrete
                                  Multivariate Latent Structure Models
                                  With Structural Zeros  . . . . . . . . . 1061--1079
               Umberto Picchini   Inference for SDE Models via Approximate
                                  Bayesian Computation . . . . . . . . . . 1080--1100
               Abhra Sarkar and   
            Bani K. Mallick and   
          John Staudenmayer and   
               Debdeep Pati and   
             Raymond J. Carroll   Bayesian Semiparametric Density
                                  Deconvolution in the Presence of
                                  Conditionally Heteroscedastic
                                  Measurement Errors . . . . . . . . . . . 1101--1125
          Raffaele Argiento and   
           Andrea Cremaschi and   
           Alessandra Guglielmi   A ``Density-Based'' Algorithm for
                                  Cluster Analysis Using Species Sampling
                                  Gaussian Mixture Models  . . . . . . . . 1126--1142
               Xiaole Zhang and   
              David J. Nott and   
            Christopher Yau and   
                     Ajay Jasra   A Sequential Algorithm for Fast Fitting
                                  of Dirichlet Process Mixture Models  . . 1143--1162
             Minh-Ngoc Tran and   
             Paolo Giordani and   
                 Xiuyan Mun and   
                Robert Kohn and   
                Michael K. Pitt   Copula-Type Estimators for Flexible
                                  Multivariate Density Modeling Using
                                  Mixtures . . . . . . . . . . . . . . . . 1163--1178
                      Anonymous   Recent Publications in JSS . . . . . . . 1179--1181
                      Anonymous   Editorial Collaborators  . . . . . . . . 1182--1185
                      Anonymous   EOV Editorial Board  . . . . . . . . . . ebi--ebi


Journal of Computational and Graphical Statistics
Volume 24, Number 1, 2015

               Denise Earle and   
            Catherine B. Hurley   Advances in Dendrogram Seriation for
                                  Application to Visualization . . . . . . 1--25
          Garrett Grolemund and   
                 Hadley Wickham   Visualizing Complex Data With Embedded
                                  Plots  . . . . . . . . . . . . . . . . . 26--43
             Alex Goldstein and   
              Adam Kapelner and   
              Justin Bleich and   
                    Emil Pitkin   Peeking Inside the Black Box:
                                  Visualizing Statistical Learning With
                                  Plots of Individual Conditional
                                  Expectation  . . . . . . . . . . . . . . 44--65
                   Chao Han and   
             Scotland Leman and   
                   Leanna House   Covariance-Guided Mixture Probabilistic
                                  Principal Component Analysis (C-MPPCA)   66--83
           Mehdi Maadooliat and   
           Jianhua Z. Huang and   
                     Jianhua Hu   Integrating Data Transformation in
                                  Principal Components Analysis  . . . . . 84--103
                   Wenbo Wu and   
                  Xiangrong Yin   Stable Estimation in Dimension Reduction 104--120
               Donghyeon Yu and   
               Joong-Ho Won and   
                Taehoon Lee and   
                  Johan Lim and   
                   Sungroh Yoon   High-Dimensional Fused Lasso Regression
                                  Using Majorization-Minimization and
                                  Parallel Processing  . . . . . . . . . . 121--153
                Ankur Sinha and   
                 Pekka Malo and   
                 Timo Kuosmanen   A Multiobjective Exploratory Procedure
                                  for Regression Model Selection . . . . . 154--182
                   Jian Guo and   
           Elizaveta Levina and   
         George Michailidis and   
                         Ji Zhu   Graphical Models for Ordinal Data  . . . 183--204
               Ping-Feng Xu and   
                Jianhua Guo and   
                   Man-Lai Tang   A Localized Implementation of the
                                  Iterative Proportional Scaling Procedure
                                  for Gaussian Graphical Models  . . . . . 205--229
               Jason D. Lee and   
               Trevor J. Hastie   Learning the Structure of Mixed
                                  Graphical Models . . . . . . . . . . . . 230--253
   Partha Sarathi Mukherjee and   
                     Peihua Qiu   Image Denoising by a Local Clustering
                                  Framework  . . . . . . . . . . . . . . . 254--273
                 Ruixin Guo and   
                  Mihye Ahn and   
                     Hongtu Zhu   Spatially Weighted Principal Component
                                  Analysis for Imaging Classification  . . 274--296
                      Anonymous   Recent Publications in \booktitleJSS . . 297--300

Journal of Computational and Graphical Statistics
Volume 24, Number 2, 2015

           David A. Van Dyk and   
                     Xiyun Jiao   Metropolis--Hastings Within Partially
                                  Collapsed Gibbs Samplers . . . . . . . . 301--327
                   Zhiqiang Tan   Resampling Markov Chain Monte Carlo
                                  Algorithms: Basic Analysis and Empirical
                                  Comparisons  . . . . . . . . . . . . . . 328--356
                 Shiwei Lan and   
     Vasileios Stathopoulos and   
             Babak Shahbaba and   
                  Mark Girolami   Markov Chain Monte Carlo from Lagrangian
                                  Dynamics . . . . . . . . . . . . . . . . 357--378
          David V. Lindberg and   
              Herbert K. H. Lee   Optimization Under Constraints by
                                  Applying an Asymmetric Entropy Measure   379--393
Daniel Sabanés Bové and   
              Leonhard Held and   
           Göran Kauermann   Objective Bayesian Model Selection in
                                  Generalized Additive Models With
                                  Penalized Splines  . . . . . . . . . . . 394--415
                     Xin Qi and   
                 Ruiyan Luo and   
         Raymond J. Carroll and   
                    Hongyu Zhao   Sparse Regression by Projection and
                                  Sparse Discriminant Analysis . . . . . . 416--438
           Bradley S. Price and   
           Charles J. Geyer and   
                Adam J. Rothman   Ridge Fusion in Statistical Learning . . 439--454
                 Jianhua Hu and   
                  Peng Wang and   
                       Annie Qu   Estimating and Identifying Unspecified
                                  Correlation Structure for Longitudinal
                                  Data . . . . . . . . . . . . . . . . . . 455--476
             Fabian Scheipl and   
           Ana-Maria Staicu and   
                   Sonja Greven   Functional Additive Mixed Models . . . . 477--501
      Nicole Bohme Carnegie and   
         Pavel N. Krivitsky and   
            David R. Hunter and   
             Steven M. Goodreau   An Approximation Method for Improving
                                  Dynamic Network Model Fitting  . . . . . 502--519
   Michael Salter-Townshend and   
          Thomas Brendan Murphy   Role Analysis in Networks Using Mixtures
                                  of Exponential Random Graph Models . . . 520--538
           Jörn Schulz and   
               Sungkyu Jung and   
          Stephan Huckemann and   
       Michael Pierrynowski and   
               J. S. Marron and   
               Stephen M. Pizer   Analysis of Rotational Deformations From
                                  Directional Data . . . . . . . . . . . . 539--560
          Robert B. Gramacy and   
                Daniel W. Apley   Local Gaussian Process Approximation for
                                  Large Computer Experiments . . . . . . . 561--578
             Douglas Nychka and   
       Soutir Bandyopadhyay and   
           Dorit Hammerling and   
              Finn Lindgren and   
                   Stephan Sain   A Multiresolution Gaussian Process Model
                                  for the Analysis of Large Spatial
                                  Datasets . . . . . . . . . . . . . . . . 579--599
                      Anonymous   Recent Publications in \booktitleJSS . . 600--601

Journal of Computational and Graphical Statistics
Volume 24, Number 3, 2015

                   Wei Xiao and   
                  Yichao Wu and   
                       Hua Zhou   ConvexLAR: An Extension of Least Angle
                                  Regression . . . . . . . . . . . . . . . 603--626
                Michael Lim and   
                  Trevor Hastie   Learning Interactions via Hierarchical
                                  Group-Lasso Regularization . . . . . . . 627--654
                Yihong Zhao and   
               Huaihou Chen and   
                  R. Todd Ogden   Wavelet-Based Weighted LASSO and
                                  Screening Approaches in Functional
                                  Linear Regression  . . . . . . . . . . . 655--675
                    Bo Peng and   
                       Lan Wang   An Iterative Coordinate Descent
                                  Algorithm for High-Dimensional Nonconvex
                                  Penalized Quantile Regression  . . . . . 676--694
Frédéric Ferraty and   
                     Peter Hall   An Algorithm for Nonlinear,
                                  Nonparametric Model Choice and
                                  Prediction . . . . . . . . . . . . . . . 695--714
        Nathaniel E. Helwig and   
                        Ping Ma   Fast and Stable Multiple Smoothing
                                  Parameter Selection in Smoothing Spline
                                  Analysis of Variance Models With Large
                                  Samples  . . . . . . . . . . . . . . . . 715--732
                    John Hughes   copCAR: A Flexible Regression Model for
                                  Areal Data . . . . . . . . . . . . . . . 733--755
                  Edwin Lei and   
                   Fang Yao and   
              Nancy Heckman and   
                    Karin Meyer   Functional Data Model for Genetically
                                  Related Individuals With Application to
                                  Cow Growth . . . . . . . . . . . . . . . 756--770
                    Cong Xu and   
                Paul Baines and   
                 Jane-Ling Wang   Improved Estimation and Uncertainty
                                  Quantification Using Monte Carlo-Based
                                  Optimization Algorithms  . . . . . . . . 771--791
                  Aixin Tan and   
                  Hani Doss and   
                James P. Hobert   Honest Importance Sampling With Multiple
                                  Markov Chains  . . . . . . . . . . . . . 792--826
              Jingfei Zhang and   
                     Yuguo Chen   Monte Carlo Algorithms for Identifying
                                  Densely Connected Subgraphs  . . . . . . 827--845
             Sinan Yildirim and   
         Sumeetpal S. Singh and   
                Thomas Dean and   
                     Ajay Jasra   Parameter Estimation in Hidden Markov
                                  Models With Intractable Likelihoods
                                  Using Sequential Monte Carlo . . . . . . 846--865
                 Chi Tim Ng and   
               Chun Yip Yau and   
                 Ngai Hang Chan   Likelihood Inferences for
                                  High-Dimensional Factor Analysis of Time
                                  Series With Applications in Finance  . . 866--884
      Hermine Biermé and   
              Lionel Moisan and   
 Frédéric Richard   A Turning-Band Method for the Simulation
                                  of Anisotropic Fractional Brownian
                                  Fields . . . . . . . . . . . . . . . . . 885--904
                      Anonymous   Recent Publications in \booktitleJSS . . 905--908

Journal of Computational and Graphical Statistics
Volume 24, Number 4, 2015

                    Xin Gao and   
         Hél\`ene Massam   Estimation of Symmetry-Constrained
                                  Gaussian Graphical Models: Application
                                  to Clustered Dense Networks  . . . . . . 909--929
            Carey E. Priebe and   
          Daniel L. Sussman and   
                  Minh Tang and   
           Joshua T. Vogelstein   Statistical Inference on Errorfully
                                  Observed Graphs  . . . . . . . . . . . . 930--953
                Hyonho Chun and   
             Xianghua Zhang and   
                    Hongyu Zhao   Gene Regulation Network Inference With
                                  Joint Sparse Gaussian Graphical Models   954--974
               Hanwen Huang and   
                 Yufeng Liu and   
                  Ming Yuan and   
                   J. S. Marron   Statistical Significance of Clustering
                                  Using Soft Thresholding  . . . . . . . . 975--993
                Eric C. Chi and   
                  Kenneth Lange   Splitting Methods for Convex Clustering  994--1013
            Skyler Speakman and   
       Edward Mcfowland Iii and   
                Daniel B. Neill   Scalable Detection of Anomalous Patterns
                                  With Connectivity Constraints  . . . . . 1014--1033
              Daniel V. Samarov   The Fast RODEO for Local Polynomial
                                  Regression . . . . . . . . . . . . . . . 1034--1052
                       Chong Gu   Hazard Estimation With Bivariate
                                  Survival Data and Copula Density
                                  Estimation . . . . . . . . . . . . . . . 1053--1073
                 Sangin Lee and   
                Patrick Breheny   Strong Rules for Nonconvex Penalties and
                                  Their Implications for Efficient
                                  Algorithms in High-Dimensional
                                  Regression . . . . . . . . . . . . . . . 1074--1091
                    Xiaogang Su   Variable Selection Via Subtle Uprooting  1092--1113
               Subhadip Pal and   
              Kshitij Khare and   
                James P. Hobert   Improving the Data Augmentation
                                  Algorithm in the Two-Block Setup . . . . 1114--1133
                Hang J. Kim and   
           Steven N. MacEachern   The Generalized Multiset Sampler . . . . 1134--1154
      Ramsés H. Mena and   
              Stephen G. Walker   On the Bayesian Mixture Model and
                                  Identifiability  . . . . . . . . . . . . 1155--1169
           Susan VanderPlas and   
                  Heike Hofmann   Signs of the Sine Illusion --- Why We
                                  Need to Care . . . . . . . . . . . . . . 1170--1190
                   Adam Loy and   
                  Heike Hofmann   Are You Normal? The Problem of
                                  Confounded Residual Structures in
                                  Hierarchical Linear Models . . . . . . . 1191--1209
                 Ian Gordon and   
                      Sue Finch   Statistician Heal Thyself: Have We Lost
                                  the Plot?  . . . . . . . . . . . . . . . 1210--1229
                 Ronny Luss and   
                 Saharon Rosset   Correction . . . . . . . . . . . . . . . 1230--1230
                      Anonymous   Recent Publications in \booktitleJSS . . 1231--1233
                      Anonymous   Editorial Collaborators  . . . . . . . . 1234--1234
                      Anonymous   Editorial Board EOV  . . . . . . . . . . ebi--ebi


Journal of Computational and Graphical Statistics
Volume 25, Number 1, 2016

           Taylor B. Arnold and   
             Ryan J. Tibshirani   Efficient Implementations of the
                                  Generalized Lasso Dual Path Algorithm    1--27
                Julie Josse and   
               Stefan Wager and   
         François Husson   Confidence Areas for Fixed-Effects PCA   28--48
                     Ruo Xu and   
              Dan Nettleton and   
              Daniel J. Nordman   Case-Specific Random Forests . . . . . . 49--65
             Volodymyr Melnykov   Merging Mixture Components for
                                  Clustering Through Pairwise Overlap  . . 66--90
               Wenhui Sheng and   
                  Xiangrong Yin   Sufficient Dimension Reduction via
                                  Distance Covariance  . . . . . . . . . . 91--104
 Thordis L. Thorarinsdottir and   
          Michael Scheuerer and   
              Christopher Heinz   Assessing the Calibration of
                                  High-Dimensional Ensemble Forecasts
                                  Using Rank Histograms  . . . . . . . . . 105--122
             Chunming Zhang and   
                     Yu Han and   
                    Shengji Jia   Accounting for Time Series Errors in
                                  Partially Linear Model With Single- or
                                  Multiple-Runs  . . . . . . . . . . . . . 123--143
       Christopher C. Chang and   
            Dimitris N. Politis   Robust Autocorrelation Estimation  . . . 144--166
              J. T. Gaskins and   
                  M. J. Daniels   Covariance Partition Priors: A Bayesian
                                  Approach to Simultaneous Covariance
                                  Estimation for Longitudinal Data . . . . 167--186
                   Ying Sun and   
               Michael L. Stein   Statistically and Computationally
                                  Efficient Estimating Equations for Large
                                  Spatial Datasets . . . . . . . . . . . . 187--208
                  Feng Chen and   
                     Peter Hall   Nonparametric Estimation for
                                  Self-Exciting Point Processes-A
                                  Parsimonious Approach  . . . . . . . . . 209--224
            Bruce D. Bugbee and   
              F. Jay Breidt and   
          Mark J. van der Woerd   Laplace Variational Approximation for
                                  Semiparametric Regression in the
                                  Presence of Heteroscedastic Errors . . . 225--245
           Isabella Gollini and   
          Thomas Brendan Murphy   Joint Modeling of Multiple Network Views 246--265
                     Han Li and   
                    Xiaodan Fan   A Pivotal Allocation-Based Algorithm for
                                  Solving the Label-Switching Problem in
                                  Bayesian Mixture Models  . . . . . . . . 266--283
             R. Dennis Cook and   
                      Xin Zhang   Algorithms for Envelope Estimation . . . 284--300
                  Hui Jiang and   
              John Chong Mu and   
                   Kun Yang and   
                    Chao Du and   
                     Luo Lu and   
                 Wing Hung Wong   Computational Aspects of Optional Pólya
                                  Tree . . . . . . . . . . . . . . . . . . 301--320
                      Anonymous   Recent Publications in \em JSS . . . . . 321--323

Journal of Computational and Graphical Statistics
Volume 25, Number 2, 2016

                      Na Li and   
                   Xingzhong Xu   Spline Multiscale Smoothing to Control
                                  FDR for Exploring Features of Regression
                                  Curves . . . . . . . . . . . . . . . . . 325--343
        Darren Homrighausen and   
             Daniel J. McDonald   On the Nyström and Column-Sampling
                                  Methods for the Approximate Principal
                                  Components Analysis of Large Datasets    344--362
           Kimihiro Noguchi and   
              Alexander Aue and   
                  Prabir Burman   Exploratory Analysis and Modeling of
                                  Stock Returns  . . . . . . . . . . . . . 363--381
            Skyler Speakman and   
            Sriram Somanchi and   
       Edward Mcfowland Iii and   
                Daniel B. Neill   Penalized Fast Subset Scanning . . . . . 382--404
                  Lizhen Xu and   
              Radu V. Craiu and   
                    Lei Sun and   
             Andrew D. Paterson   Parameter Expanded Algorithms for
                                  Bayesian Latent Variable Modeling of
                                  Genetic Pleiotropy Data  . . . . . . . . 405--425
Sylvie (Tchumtchoua) Kabisa and   
            David B. Dunson and   
              Jeffrey S. Morris   Online Variational Bayes Inference for
                                  High-Dimensional Correlated Data . . . . 426--444
               Sean McKenna and   
               Miriah Meyer and   
          Christopher Gregg and   
                  Samuel Gerber   s-CorrPlot: An Interactive Scatterplot
                                  for Exploring Correlation  . . . . . . . 445--463
              Chinghway Lim and   
                         Bin Yu   Estimation Stability With
                                  Cross-Validation (ESCV)  . . . . . . . . 464--492
           Subhashis Ghosal and   
           Bradley Turnbull and   
            Hao Helen Zhang and   
                Wook Yeon Hwang   Sparse Penalized Forward Selection for
                                  Support Vector Classification  . . . . . 493--514
    Daniel Taylor-Rodriguez and   
              Andrew Womack and   
               Nikolay Bliznyuk   Bayesian Variable Selection on Model
                                  Spaces Constrained by Heredity
                                  Conditions . . . . . . . . . . . . . . . 515--535
             Andrew L. Beam and   
             Sujit K. Ghosh and   
                      Jon Doyle   Fast Hamiltonian Monte Carlo Using GPU
                                  Computing  . . . . . . . . . . . . . . . 536--548
                  Susan Wei and   
                Chihoon Lee and   
            Lindsay Wichers and   
                   J. S. Marron   Direction-Projection-Permutation for
                                  High-Dimensional Hypothesis Tests  . . . 549--569
              Haochang Shou and   
       Russell T. Shinohara and   
                    Han Liu and   
            Daniel S. Reich and   
         Ciprian M. Crainiceanu   Soft Null Hypotheses: A Case Study of
                                  Image Enhancement Detection in Brain
                                  Lesions  . . . . . . . . . . . . . . . . 570--588
                 Zaili Fang and   
                    Inyoung Kim   Bayesian Ising Graphical Model for
                                  Variable Selection . . . . . . . . . . . 589--605
                   Wei Qian and   
                    Yi Yang and   
                        Hui Zou   Tweedie's Compound Poisson Model With
                                  Grouped Elastic Net  . . . . . . . . . . 606--625
             Minh-Ngoc Tran and   
              David J. Nott and   
          Anthony Y. C. Kuk and   
                    Robert Kohn   Parallel Variational Bayes for Large
                                  Datasets With an Application to
                                  Generalized Linear Mixed Models  . . . . 626--646

Journal of Computational and Graphical Statistics
Volume 25, Number 3, 2016

         Dimitris Fouskakis and   
              Ioannis Ntzoufras   Power-Conditional-Expected Priors: Using
                                  $g$-Priors With Random Imaginary Data
                                  for Variable Selection . . . . . . . . . 647
              Ray-Bing Chen and   
             Chi-Hsiang Chu and   
             Shinsheng Yuan and   
                   Ying Nian Wu   Bayesian Sparse Group Selection  . . . . 665
                   Lei Gong and   
                James M. Flegal   A Practical Sequential Stopping Rule for
                                  High-Dimensional Markov Chain Monte
                                  Carlo  . . . . . . . . . . . . . . . . . 684
                   Yan Zhou and   
           Adam M. Johansen and   
               John A. D. Aston   Toward Automatic Model Comparison: An
                                  Adaptive Sequential Monte Carlo Approach 701
       Anandamayee Majumdar and   
                  Debashis Paul   Zero Expectile Processes and Bayesian
                                  Spatial Regression . . . . . . . . . . . 727
                Leo L. Duan and   
             John P. Clancy and   
           Rhonda D. Szczesniak   Bayesian Ensemble Trees (BET) for
                                  Clustering and Prediction in
                                  Heterogeneous Data . . . . . . . . . . . 748
        Chiranjit Mukherjee and   
                 Abel Rodriguez   GPU-Powered Shotgun Stochastic Search
                                  for Dirichlet Process Mixtures of
                                  Gaussian Graphical Models  . . . . . . . 762
         Lawrence M. Murray and   
                Anthony Lee and   
                Pierre E. Jacob   Parallel Resampling in the Particle
                                  Filter . . . . . . . . . . . . . . . . . 789
                Chong Zhang and   
                 Yufeng Liu and   
                Junhui Wang and   
                     Hongtu Zhu   Reinforced Angle-Based Multicategory
                                  Support Vector Machines  . . . . . . . . 806
               Boxiang Wang and   
                        Hui Zou   Sparse Distance Weighted Discrimination  826
             Aaditya Ramdas and   
             Ryan J. Tibshirani   Fast and Flexible ADMM Algorithms for
                                  Trend Filtering  . . . . . . . . . . . . 839
                     Gen Li and   
               Haipeng Shen and   
               Jianhua Z. Huang   Supervised Sparse and Functional
                                  Principal Component Analysis . . . . . . 859
           Piotr Fryzlewicz and   
           Catherine Timmermans   SHAH: SHape-Adaptive Haar Wavelets for
                                  Image Processing . . . . . . . . . . . . 879
            Ollivier Hyrien and   
                   Andrea Baran   Fast Nonparametric Density-Based
                                  Clustering of Large Datasets Using a
                                  Stochastic Approximation Mean-Shift
                                  Algorithm  . . . . . . . . . . . . . . . 899
                  Jan Beran and   
           Sven Möhrle and   
                Sucharita Ghosh   Testing for Hermite Rank in Gaussian
                                  Subordination Processes  . . . . . . . . 917
             Davide Ferrari and   
                 Guoqi Qian and   
                    Tane Hunter   Parsimonious and Efficient Likelihood
                                  Composition by Gibbs Sampling  . . . . . 935
    Radhendushka Srivastava and   
                    Ping Li and   
                  David Ruppert   RAPTT: An Exact Two-Sample Test in High
                                  Dimensions Using Random Projections  . . 954
           Gregory B. Gloor and   
           Jean M. Macklaim and   
            Andrew D. Fernandes   Displaying Variation in Large Datasets:
                                  Plotting a Visual Summary of Effect
                                  Sizes  . . . . . . . . . . . . . . . . . 971
                      Anonymous   Correction . . . . . . . . . . . . . . . 980

Journal of Computational and Graphical Statistics
Volume 25, Number 4, 2016

                 Asad Haris and   
             Daniela Witten and   
                     Noah Simon   Convex Modeling of Interactions With
                                  Strong Heredity  . . . . . . . . . . . . 981--1004
            Ashley Petersen and   
             Daniela Witten and   
                     Noah Simon   Fused Lasso Additive Model . . . . . . . 1005--1025
                  Lina Liao and   
              Cheolwoo Park and   
                 Jan Hannig and   
                  Kee-Hoon Kang   Autocovariance Function Estimation via
                                  Penalized Regression . . . . . . . . . . 1041--1056
              Xiaoyue Cheng and   
                Dianne Cook and   
                  Heike Hofmann   Enabling Interactivity on Displays of
                                  Multivariate Time Series and
                                  Longitudinal Data  . . . . . . . . . . . 1057--1076
           Richard A. Davis and   
               Pengfei Zang and   
                     Tian Zheng   Sparse Vector Autoregressive Modeling    1077--1096
              Antonio Punzo and   
             Antonello Maruotti   Clustering Multivariate Longitudinal
                                  Observations: The Contaminated Gaussian
                                  Hidden Markov Model  . . . . . . . . . . 1097--1098
                 Xiwei Tang and   
                       Annie Qu   Mixture Modeling for Longitudinal Data   1117--1137
                    Yin Lou and   
                 Jacob Bien and   
               Rich Caruana and   
                Johannes Gehrke   Sparse Partially Linear Additive Models  1126--1140
         Christopher Nemeth and   
             Paul Fearnhead and   
             Lyudmila Mihaylova   Particle Approximations of the Score and
                                  Observed Information Matrix for
                                  Parameter Estimation in State-Space
                                  Models With Linear Computational Cost    1138--1157
            Hannes Helgason and   
         Stefanos Kechagias and   
                 Vladas Pipiras   Convex Optimization and Feasible
                                  Circulant Matrix Embeddings in Synthesis
                                  of Stationary Gaussian Fields  . . . . . 1158--1175
                 Xiaoyu Liu and   
              Serge Guillas and   
                   Ming-Jun Lai   Efficient Spatial Modeling Using the
                                  SPDE Approach With Bivariate Splines . . 1176--1194
              Shangbang Rao and   
          Joseph G. Ibrahim and   
                 Jian Cheng and   
              Pew-Thian Yap and   
                     Hongtu Zhu   SR-HARDI: Spatially Regularizing High
                                  Angular Resolution Diffusion Imaging . . 1195--1211
         Stefano Castruccio and   
         Raphaël Huser and   
                 Marc G. Genton   High-Order Composite Likelihood
                                  Inference for Max-Stable Distributions
                                  and Processes  . . . . . . . . . . . . . 1212--1229
                  Yaeji Lim and   
                    Hee-Seok Oh   A Data-Adaptive Principal Component
                                  Analysis: Use of Composite Asymmetric
                                  Huber Function . . . . . . . . . . . . . 1230--1247
            Alexander Bauer and   
                  Claudia Czado   Pair-Copula Bayesian Networks  . . . . . 1248--1271
                   Tuo Zhao and   
                        Han Liu   Accelerated Path-Following Iterative
                                  Shrinkage Thresholding Algorithm With
                                  Application to Semiparametric Graph
                                  Estimation . . . . . . . . . . . . . . . 1272--1296
             Rafael Izbicki and   
                     Ann B. Lee   Nonparametric Conditional Density
                                  Estimation in a High-Dimensional
                                  Regression Setting . . . . . . . . . . . 1297--1316
                      Anonymous   Editorial Collaborators  . . . . . . . . 1317--1320
                      Anonymous   Editorial Board EOV  . . . . . . . . . . ebi--ebi


Journal of Computational and Graphical Statistics
Volume 26, Number 1, 2017

                Yiwen Zhang and   
                   Hua Zhou and   
                   Jin Zhou and   
                        Wei Sun   Regression Models for Multivariate Count
                                  Data . . . . . . . . . . . . . . . . . . 1--13
              Wen-Ting Wang and   
               Hsin-Cheng Huang   Regularized Principal Component Analysis
                                  for Spatial Data . . . . . . . . . . . . 14--25
             Haileab Hilafu and   
                  Xiangrong Yin   Sufficient Dimension Reduction and
                                  Variable Selection for
                                  Large-$p$--Small-$n$ Data With Highly
                                  Correlated Predictors  . . . . . . . . . 26--34
          Francis K. C. Hui and   
            David I. Warton and   
            John T. Ormerod and   
           Viivi Haapaniemi and   
                  Sara Taskinen   Variational Approximations for
                                  Generalized Linear Latent Variable
                                  Models . . . . . . . . . . . . . . . . . 35--43
 María Lomelí and   
             Stefano Favaro and   
                   Yee Whye Teh   A Marginal Sampler for $ \sigma $-Stable
                                  Poisson--Kingman Mixture Models  . . . . 44--53
                   Zhiqiang Tan   Optimally Adjusted Mixture Sampling and
                                  Locally Weighted Histogram Analysis  . . 54--65
              Paul R. Rosenbaum   Imposing Minimax and Quantile
                                  Constraints on Optimal Matching in
                                  Observational Studies  . . . . . . . . . 66--78
         Robert D. Eisinger and   
                     Yuguo Chen   Sampling for Conditional Inference on
                                  Contingency Tables . . . . . . . . . . . 79--87
            Joseph Guinness and   
             Montserrat Fuentes   Circulant Embedding of Approximate
                                  Covariances for Inference From Gaussian
                                  Data on Large Lattices . . . . . . . . . 88--97
             Mihai Anitescu and   
                   Jie Chen and   
               Michael L. Stein   An Inversion-Free Estimating Equations
                                  Approach for Gaussian Process Models . . 98--107
         Jonathan R. Stroud and   
           Michael L. Stein and   
                    Shaun Lysen   Bayesian and Maximum Likelihood
                                  Estimation for Gaussian Processes on an
                                  Incomplete Lattice . . . . . . . . . . . 108--120
               Danjie Zhang and   
              Ming-Hui Chen and   
          Joseph G. Ibrahim and   
               Mark E. Boye and   
                       Wei Shen   Bayesian Model Assessment in Joint
                                  Modeling of Longitudinal and Survival
                                  Data With Applications to Cancer
                                  Clinical Trials  . . . . . . . . . . . . 121--133
              Kaylea Haynes and   
            Idris A. Eckley and   
                 Paul Fearnhead   Computationally Efficient Changepoint
                                  Detection for a Range of Penalties . . . 134--143
                  Qunqun Yu and   
                 Xiaosun Lu and   
                   J. S. Marron   Principal Nested Spheres for Time-Warped
                                  Functional Data Analysis . . . . . . . . 144--151
            Matthew Simpson and   
                Jarad Niemi and   
                Vivekananda Roy   Interweaving Markov Chain Monte Carlo
                                  Strategies for Efficient Estimation of
                                  Dynamic Linear Models  . . . . . . . . . 152--159
                   J. O. Ramsay   A Functional Estimate of Covariation . . 160--170
   D. Franco Saldaña and   
                      Yi Yu and   
                      Yang Feng   How Many Communities Are There?  . . . . 171--181
               John A. Kamm and   
          Jonathan Terhorst and   
                    Yun S. Song   Efficient Computation of the Joint
                                  Sample Frequency Spectra for Multiple
                                  Populations  . . . . . . . . . . . . . . 182--194
                   Yunzhang Zhu   An Augmented ADMM Algorithm With
                                  Application to the Generalized Lasso
                                  Problem  . . . . . . . . . . . . . . . . 195--204
             Julien Chiquet and   
           Pierre Gutierrez and   
                Guillem Rigaill   Fast Tree Inference With Weighted Fusion
                                  Penalties  . . . . . . . . . . . . . . . 205--216
       Christian Röver and   
                     Tim Friede   Discrete Approximation of a Mixture
                                  Distribution via Restricted Divergence   217--222
                Huon Wilson and   
                      Uri Keich   Accurate Small Tail Probabilities of
                                  Sums of iid Lattice-Valued Random
                                  Variables via FFT  . . . . . . . . . . . 223--229

Journal of Computational and Graphical Statistics
Volume 26, Number 2, 2017

           Susan VanderPlas and   
                  Heike Hofmann   Clusters Beat Trend!? Testing Feature
                                  Hierarchy in Statistical Graphics  . . . 231--242
                 Mukund Raj and   
            Mahsa Mirzargar and   
               Robert Ricci and   
            Robert M. Kirby and   
               Ross T. Whitaker   Path Boxplots: A Method for
                                  Characterizing Uncertainty in Path
                                  Ensembles on a Graph . . . . . . . . . . 243--252
          Dale L. Zimmerman and   
                Jay M. Ver Hoef   The Torgegram for Fluvial Variography:
                                  Characterizing Spatial Dependence on
                                  Stream Networks  . . . . . . . . . . . . 253--264
            Alejandro Murua and   
           Fernando A. Quintana   Semiparametric Bayesian Regression via
                                  Potts Model  . . . . . . . . . . . . . . 265--274
               T. Rodrigues and   
                         Y. Fan   Regression Adjustment for Noncrossing
                                  Bayesian Quantile Regression . . . . . . 275--284
    Gertraud Malsiner-Walli and   
Sylvia Frühwirth-Schnatter and   
              Bettina Grün   Identifying Mixtures of Mixtures Using
                                  Bayesian Estimation  . . . . . . . . . . 285--295
              Cecilia Earls and   
                   Giles Hooker   Combining Functional Data Registration
                                  and Factor Analysis  . . . . . . . . . . 296--305
                Zhenhua Lin and   
                  Jiguo Cao and   
            Liangliang Wang and   
                    Haonan Wang   Locally Sparse Estimator for Functional
                                  Linear Regression Models . . . . . . . . 306--318
            Ela Sienkiewicz and   
                  Dong Song and   
              F. Jay Breidt and   
                    Haonan Wang   Sparse Functional Dynamical Models --- a
                                  Big Data Approach  . . . . . . . . . . . 319--329
              Han Lin Shang and   
                 Rob J. Hyndman   Grouped Functional Time Series
                                  Forecasting: An Application to
                                  Age-Specific Mortality Rates . . . . . . 330--343
                  Minh Tang and   
             Avanti Athreya and   
          Daniel L. Sussman and   
             Vince Lyzinski and   
              Youngser Park and   
                Carey E. Priebe   A Semiparametric Two-Sample Hypothesis
                                  Testing Problem for Random Graphs  . . . 344--354
                 Brett Naul and   
                Jonathan Taylor   Sparse Steinian Covariance Estimation    355--366
                  Jie Cheng and   
                  Tianxi Li and   
           Elizaveta Levina and   
                         Ji Zhu   High-Dimensional Mixed Graphical Models  367--378
            Irina Gaynanova and   
             James G. Booth and   
                Martin T. Wells   Penalized Versus Constrained Generalized
                                  Eigenvalue Problems  . . . . . . . . . . 379--387
       Francesco Bartolucci and   
      Francesca Chiaromonte and   
Prabhani Kuruppumullage Don and   
               Bruce G. Lindsay   Composite Likelihood Inference in a
                                  Discrete Latent Variable Model for
                                  Two-Way ``Clustering-by-Segmentation''
                                  Problems . . . . . . . . . . . . . . . . 388--402
           Perry de Valpine and   
               Daniel Turek and   
    Christopher J. Paciorek and   
  Clifford Anderson-Bergman and   
         Duncan Temple Lang and   
                Rastislav Bodik   Programming With Models: Writing
                                  Statistical Algorithms for General Model
                                  Structures With NIMBLE . . . . . . . . . 403--413
          Nicholas A. Heard and   
         Melissa J. M. Turcotte   Adaptive Sequential Monte Carlo for
                                  Multiple Changepoint Analysis  . . . . . 414--423
               Holger Dette and   
             Roman Guchenko and   
           Viatcheslav B. Melas   Efficient Computation of Bayesian
                                  Optimal Discriminating Designs . . . . . 424--433
             Chris Sherlock and   
           Andrew Golightly and   
            Daniel A. Henderson   Adaptive, Delayed-Acceptance MCMC for
                                  Targets With Expensive Likelihoods . . . 434--444
                F. Lindsten and   
             A. M. Johansen and   
             C. A. Naesseth and   
             B. Kirkpatrick and   
           T. B. Schön and   
             J. A. D. Aston and   
  A. Bouchard-Côté   Divide-and-Conquer With Sequential Monte
                                  Carlo  . . . . . . . . . . . . . . . . . 445--458
             Artur Gramacki and   
              Jaroslaw Gramacki   FFT-Based Fast Computation of
                                  Multivariate Kernel Density Estimators
                                  With Unconstrained Bandwidth Matrices    459--462
      Clifford Anderson-Bergman   An Efficient Implementation of the EMICM
                                  Algorithm for the Interval Censored
                                  NPMLE  . . . . . . . . . . . . . . . . . 463--467

Journal of Computational and Graphical Statistics
Volume 26, Number 3, 2017

              Heike Hofmann and   
             Hadley Wickham and   
                  Karen Kafadar   Letter-Value Plots: Boxplots for Large
                                  Data . . . . . . . . . . . . . . . . . . 469--477
                   Adam Loy and   
              Heike Hofmann and   
                    Dianne Cook   Model Choice and Diagnostics for Linear
                                  Mixed-Effects Models Using Statistics on
                                  Street Corners . . . . . . . . . . . . . 478--492
                  Eric Hare and   
                   Andee Kaplan   Designing Modular Software: A Case Study
                                  in Introductory Statistics . . . . . . . 493--500
        José Camacho and   
Rafael A. Rodríguez-Gómez and   
               Edoardo Saccenti   Group-Wise Principal Component Analysis
                                  for Exploratory Data Analysis  . . . . . 501--512
                David Bolin and   
                  Finn Lindgren   Quantifying the Uncertainty of Contour
                                  Maps . . . . . . . . . . . . . . . . . . 513--524
                     Matt Taddy   One-Step Estimator Paths for Concave
                                  Regularization . . . . . . . . . . . . . 525--536
Oscar Hernan Madrid-Padilla and   
                    James Scott   Tensor Decomposition With Generalized
                                  Lasso Penalties  . . . . . . . . . . . . 537--546
                 Congrui Yi and   
                     Jian Huang   Semismooth Newton Coordinate Descent
                                  Algorithm for Elastic-Net Penalized
                                  Huber Loss Regression and Quantile
                                  Regression . . . . . . . . . . . . . . . 547--557
       Douglas VanDerwerken and   
             Scott C. Schmidler   Monitoring Joint Convergence of MCMC
                                  Samplers . . . . . . . . . . . . . . . . 558--568
            Philip T. Reiss and   
            David L. Miller and   
               Pei-Shien Wu and   
                     Wen-Yu Hua   Penalized Nonparametric
                                  Scalar-on-Function Regression via
                                  Principal Coordinates  . . . . . . . . . 569--578
                  Ben Brown and   
      Christopher J. Miller and   
                 Julian Wolfson   ThrEEBoost: Thresholded Boosting for
                                  Variable Selection and Prediction via
                                  Estimating Equations . . . . . . . . . . 579--588
               Lucas Mentch and   
                   Giles Hooker   Formal Hypothesis Tests for Additive
                                  Structure in Random Forests  . . . . . . 589--597
       Christopher Genovese and   
      Marco Perone-Pacifico and   
        Isabella Verdinelli and   
                Larry Wasserman   Finding Singular Features  . . . . . . . 598--609
      Michael Schweinberger and   
              Sergii Babkin and   
             Katherine B. Ensor   High-Dimensional Multivariate Time
                                  Series With Additional Structure . . . . 610--622
       Alexander J. Gibberd and   
             James D. B. Nelson   Regularized Estimation of Piecewise
                                  Constant Gaussian Graphical Models: The
                                  Group-Fused Graphical Lasso  . . . . . . 623--634
                   Kevin He and   
                  Yuan Yang and   
                 Yanming Li and   
                     Ji Zhu and   
                          Yi Li   Modeling Time-Varying Effects With
                                  Large-Scale Survival Data: An Efficient
                                  Quasi-Newton Approach  . . . . . . . . . 635--645
         Shinichiro Shirota and   
                Alan E. Gelfand   Approximate Bayesian Computation and
                                  Model Assessment for Repulsive Spatial
                                  Point Processes  . . . . . . . . . . . . 646--657
              Behzad Mahmoudian   A Skewed and Heavy-Tailed Latent Random
                                  Field Model for Spatial Extremes . . . . 658--670
             Michelle Carey and   
             Eugene G. Gath and   
                    Kevin Hayes   A Generalized Smoother for Linear
                                  Ordinary Differential Equations  . . . . 671--681
              M. O. Kuismin and   
           J. T. Kemppainen and   
      M. J. Sillanpää   Precision Matrix Estimation With ROPE    682--694
                  Marco Bee and   
              Giuseppe Espa and   
             Diego Giuliani and   
                   Flavio Santi   A Cross-Entropy Approach to the
                                  Estimation of Generalized Linear
                                  Multilevel Models  . . . . . . . . . . . 695--708
                  Adam Lund and   
             Martin Vincent and   
           Niels Richard Hansen   Penalized Estimation in Large-Scale
                                  Generalized Linear Array Models  . . . . 709--724
               Yunpeng Zhao and   
               Yun-Jhong Wu and   
           Elizaveta Levina and   
                         Ji Zhu   Link Prediction for Partially Observed
                                  Networks . . . . . . . . . . . . . . . . 725--733
             Stuart Lipsitz and   
        Garrett Fitzmaurice and   
            Debajyoti Sinha and   
         Nathanael Hevelone and   
                     Jim Hu and   
                Louis L. Nguyen   One-Step Generalized Estimating
                                  Equations With Large Cluster Sizes . . . 734--737
                    Art B. Owen   Statistically Efficient Thinning of a
                                  Markov Chain Sampler . . . . . . . . . . 738--744

Journal of Computational and Graphical Statistics
Volume 26, Number 4, 2017

                   David Donoho   50 Years of Data Science . . . . . . . . 745--766
                  Roger D. Peng   Comment on ``50 Years of Data Science''  767--767
               Susan Holmes and   
                    Julie Josse   Discussion of `50 Years of Data Science  768--769
                Stephanie Hicks   Greater Data Science Ahead!  . . . . . . 770--771
                     Tian Zheng   Teaching Data Science in a Statistical
                                  Curriculum: Can We Teach More by
                                  Teaching Less? . . . . . . . . . . . . . 772--774
              Heike Hofmann and   
               Susan VanderPlas   All of This Has Happened Before. All of
                                  This Will Happen Again: Data Science . . 775--778
          Mahbubul Majumder and   
                  Xiaoyue Cheng   Focusing on the Needs: Experiences of
                                  Developing a Data Science Program  . . . 779--780
            Amelia McNamara and   
         Nicholas J. Horton and   
             Benjamin S. Baumer   Greater Data Science at Baccalaureate
                                  Institutions . . . . . . . . . . . . . . 781--783
             Jennifer Bryan and   
                 Hadley Wickham   Data Science: A Three Ring Circus or a
                                  Big Tent?  . . . . . . . . . . . . . . . 784--785
             Vince Lyzinski and   
              Youngser Park and   
            Carey E. Priebe and   
                Michael Trosset   Fast Embedding for JOFC Using the Raw
                                  Stress Criterion . . . . . . . . . . . . 786--802
                Jingnan Xue and   
                   Faming Liang   A Robust Model-Free Feature Screening
                                  Method for Ultrahigh-Dimensional Data    803--813
              Aditya Mishra and   
               Dipak K. Dey and   
                       Kun Chen   Sequential Co-Sparse Factor Regression   814--825
              Piotr Sobczyk and   
         Ma\lgorzata Bogdan and   
                    Julie Josse   Bayesian Dimensionality Reduction With
                                  PCA Using Penalized Semi-Integrated
                                  Likelihood . . . . . . . . . . . . . . . 826--839
          Brenda Betancourt and   
      Abel Rodríguez and   
                     Naomi Boyd   Bayesian Fused Lasso Regression for
                                  Dynamic Binary Networks  . . . . . . . . 840--850
                Taehoon Lee and   
               Joong-Ho Won and   
                  Johan Lim and   
                   Sungroh Yoon   Large-Scale Structured Sparsity via
                                  Parallel Fused Lasso on Multiple GPUs    851--864
               Vahe Avagyan and   
    Andrés M. Alonso and   
           Francisco J. Nogales   Improving the Graphical Lasso Estimation
                                  for the Precision Matrix Through Roots
                                  of the Sample Covariance Matrix  . . . . 865--872
             Minh-Ngoc Tran and   
              David J. Nott and   
                    Robert Kohn   Variational Bayes With Intractable
                                  Likelihood . . . . . . . . . . . . . . . 873--882
             Stanislav Nagy and   
            Ir\`ene Gijbels and   
                Daniel Hlubinka   Depth-Based Recognition of Shape
                                  Outlying Functions . . . . . . . . . . . 883--893
                      Yi Lu and   
                Radu Herbei and   
               Sebastian Kurtek   Bayesian Registration of Functions With
                                  a Gaussian Process Prior . . . . . . . . 894--904
             Gregor Kastner and   
Sylvia Frühwirth-Schnatter and   
         Hedibert Freitas Lopes   Efficient Bayesian Inference for
                                  Multivariate Factor Stochastic
                                  Volatility Models  . . . . . . . . . . . 905--917
            Jonathan Fintzi and   
                  Xiang Cui and   
              Jon Wakefield and   
              Vladimir N. Minin   Efficient Data Augmentation for Fitting
                                  Stochastic Epidemic Models to Prevalence
                                  Data . . . . . . . . . . . . . . . . . . 918--929
                Raymond Kan and   
                 Cesare Robotti   On Moments of Folded and Truncated
                                  Multivariate Normal Distributions  . . . 930--934
                   Liqun Yu and   
                    Nan Lin and   
                       Lan Wang   A Parallel Algorithm for Large-Scale
                                  Nonconvex Penalized Quantile Regression  935--939
                  Andrew Gelman   Correction to Cook, Gelman, and Rubin
                                  (2006) . . . . . . . . . . . . . . . . . 940--940
                      Anonymous   Editorial Collaborators  . . . . . . . . 941--943
                      Anonymous   Editorial Board EOV  . . . . . . . . . . ebi--ebi