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William F. Eddy Editorial . . . . . . . . . . . . . . . 1--2
Robert Tibshirani and
Michael LeBlanc A Strategy for Binary Description and
Classification . . . . . . . . . . . . . 3--20
Cyrus R. Mehta and
Nitin Patel and
Pralay Senchaudhuri Exact Stratified Linear Rank Tests for
Ordered Categorical and Binary Data . . 21--40
Peter F. Thall and
Richard Simon and
David A. Grier Test-Based Variable Selection via
Cross-Validation . . . . . . . . . . . . 41--61
Stuart G. Baker A Simple Method for Computing the
Observed Information Matrix When Using
the EM Algorithm with Categorical Data 63--76
D. Y. Lin and
C. J. Geyer Computational Methods for Semiparametric
Linear Regression with Censored Data . . 77--90
Michael L. Stein Prediction and Inference for Truncated
Spatial Data . . . . . . . . . . . . . . 91--110
Anonymous Editorial Board Page . . . . . . . . . . ??
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
Alan Genz Numerical Computation of Multivariate
Normal Probabilities . . . . . . . . . . 141--149
Jason C. Hsu The Factor Analytic Approach to
Simultaneous Inference in the General
Linear Model . . . . . . . . . . . . . . 151--168
Chong Gu Cross-Validating Non-Gaussian Data . . . 169--179
Anonymous Correction . . . . . . . . . . . . . . . 180--180
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
Anonymous Editorial Board Page . . . . . . . . . . ??
Richard M. Heiberger and
Richard A. Becker Design of an S Function for Robust
Regression Using Iteratively Reweighted
Least Squares . . . . . . . . . . . . . 181--196
Peter Hall and
Wei Qian and
D. M. Titterington Ridge Finding from Noisy Data . . . . . 197--211
Julian J. Faraway On the Cost of Data Analysis . . . . . . 213--229
Thomas J. Jiang and
Joseph B. Kadane and
James M. Dickey Computation of Carlson's Multiple
Hypergeometric Function $R$ for Bayesian
Applications . . . . . . . . . . . . . . 231--251
David Ruppert Computing $S$ Estimators for Regression
and Multivariate Location/Dispersion . . 253--270
Anonymous Editorial Board Page . . . . . . . . . . ??
Bruce E. Barrett and
J. Brian Gray Efficient Computation of Subset
Influence in Regression . . . . . . . . 271--286
Michael M. Meyer and
Joseph B. Kadane Reconstructing the Adjusted Census for
Florida: a Case Study in Data
Examination . . . . . . . . . . . . . . 287--300
Charles Kooperberg and
Charles J. Stone Logspline Density Estimation for
Censored Data . . . . . . . . . . . . . 301--328
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
I. O. Bohachevsky Consultant and
M. E. Johnson and
M. L. Stein Stochastic Optimization and the
Gambler's Ruin Problem . . . . . . . . . 367--384
Anonymous Editorial Collaborators . . . . . . . . 385--386
Anonymous Index to Volume 1 (1992) . . . . . . . . 387--388
Anonymous Editorial Board Page . . . . . . . . . . ??
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--33
Howard Wainer Graphing Multiple Comparisons: Some
Comments on Tukey . . . . . . . . . . . 35--40
Richard A. Becker and
William S. Cleveland Discussion of ``Graphic Comparisons of
Several Linked Aspects'' by John W.
Tukey . . . . . . . . . . . . . . . . . 41--48
John W. Tukey Rejoinder . . . . . . . . . . . . . . . 49--49
Michael C. Minnotte and
David W. Scott The Mode Tree: a Tool for Visualization
of Nonparametric Density Features . . . 51--68
David L. Woodruff and
David M. Rocke Heuristic Search Algorithms for the
Minimum Volume Ellipsoid . . . . . . . . 69--95
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
Anonymous Editorial Board Page . . . . . . . . . . ??
Ulf Grenander and
Kevin M. Manbeck A Stochastic Shape and Color Model for
Defect Detection in Potatoes . . . . . . 131--151
Kenneth Ward Church and
Jonathan Isaac Helfman Dotplot: a Program for Exploring
Self-Similarity in Millions of Lines of
Text and Code . . . . . . . . . . . . . 153--174
Kenneth Lange and
Janet S. Sinsheimer Normal/Independent Distributions and
Their Applications in Robust Regression 175--198
Paul Kabaila A Method for the Computer Calculation of
Edgeworth Expansions for Smooth Function
Models . . . . . . . . . . . . . . . . . 199--207
Magdy H. Metry and
Allan R. Sampson Characterizing and Generating Bivariate
Empirical Rank Distributions Satisfying
Certain Positive Dependence Concepts . . 209--223
Anonymous Editorial Board Page . . . . . . . . . . ??
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
Anonymous Editorial Board Page . . . . . . . . . . ??
William S. Cleveland A Model for Studying Display Methods of
Statistical Graphics . . . . . . . . . . 323--343
Lothar Tremmel Comment on ``A Model for Studying
Display Methods of Statistical
Graphics'' . . . . . . . . . . . . . . . 345--347
Susan Holmes Comment on ``A Model for Studying
Display Methods of Statistical
Graphics'' . . . . . . . . . . . . . . . 349--353
Leland Wilkinson Comment on ``A Model for Studying
Display Methods of Statistical
Graphics'' . . . . . . . . . . . . . . . 355--360
William S. Cleveland Rejoinder: ``A Model for Studying
Display Methods of Statistical
Graphics'' . . . . . . . . . . . . . . . 361--364
Catherine Hurley The Plot-Data Interface in Statistical
Graphics . . . . . . . . . . . . . . . . 365--379
Paul R. Rosenbaum Confident Search . . . . . . . . . . . . 381--403
Xing Sam Gu and
Paul R. Rosenbaum Comparison of Multivariate Matching
Methods: Structures, Distances, and
Algorithms . . . . . . . . . . . . . . . 405--420
Anonymous Editorial Collaborators . . . . . . . . 421--422
Anonymous Index to Volume 2 (1993) . . . . . . . . 423--424
Anonymous Editorial Board Page . . . . . . . . . . ??
David R. Brillinger Examples of Scientific Problems and Data
Analyses in Demography, Neurophysiology,
and Seismology . . . . . . . . . . . . . 1--22
Mary McFarlane and
Forrest W. Young Graphical Sensitivity Analysis for
Multidimensional Scaling . . . . . . . . 23--33
Jianqing Fan and
James S. Marron Fast Implementations of Nonparametric
Curve Estimators . . . . . . . . . . . . 35--56
Jianping Dong and
Jeffrey S. Simonoff The Construction and Properties of
Boundary Kernels for Smoothing Sparse
Multinomials . . . . . . . . . . . . . . 57--66
Bert W. Rust and
Dianne P. O'Leary Confidence Intervals for Discrete
Approximations to Ill-Posed Problems . . 67--96
Xin M. Tu Analysis of Data with Censored
Initiating and Terminating Times: a
Missing-Data Approach . . . . . . . . . 97--112
Anonymous Editorial Board Page . . . . . . . . . . ??
Richard Esposito and
James K. Fox and
Dongyow Lin and
Kevin Tidemann ARIES: a Visual Path in the
Investigation of Statistical Data . . . 113--125
Stephen G. Eick Graphically Displaying Text . . . . . . 127--142
Jason C. Hsu and
Mario Peruggia Graphical Representations of Tukey's
Multiple Comparison Method . . . . . . . 143--161
G. P. Nason and
B. W. Silverman The Discrete Wavelet Transform in S . . 163--191
Burkhardt Seifert and
Michael Brockmann and
Joachim Engel and
Theo Gasser Fast Algorithms for Nonparametric Curve
Estimation . . . . . . . . . . . . . . . 192--213
Mark R. Segal Representative Curves for Longitudinal
Data via Regression Trees . . . . . . . 214--233
Anonymous Correction . . . . . . . . . . . . . . . 234--234
Anonymous Editorial Board Page . . . . . . . . . . ??
Charles B. Roosen and
Trevor J. Hastie Automatic Smoothing Spline Projection
Pursuit . . . . . . . . . . . . . . . . 235--248
James E. Stafford Automating the Partition of Indexes . . 249--259
Alan E. Gelfand and
Sujit K. Sahu On Markov chain Monte Carlo acceleration 261--276
Richard A. Becker and
Linda A. Clark and
Diane Lambert Cave Plots: a Graphical Technique for
Comparing Time Series . . . . . . . . . 277--283
H. Block and
S. Qian and
A. Sampson Structure Algorithms for Partially
Ordered Isotonic Regression . . . . . . 285--300
J. Jack Lee and
Z. Nora Tu A Better Confidence Interval for Kappa
($ \kappa $) on Measuring Agreement
between Two Raters with Binary Outcomes 301--321
Anonymous Editorial Board Page . . . . . . . . . . ??
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--353
John F. Elder IV Discussion . . . . . . . . . . . . . . . 355--362
Shingo Oue Discussion . . . . . . . . . . . . . . . 363--367
Daniel B. Carr Discussion . . . . . . . . . . . . . . . 369--376
Andreas Buja and
George W. Furnas Rejoinder . . . . . . . . . . . . . . . 377--385
Michael Friendly and
John Fox Using APL2 to Create an Object-Oriented
Environment for Statistical Computation 387--407
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
J. S. Marron Visual Understanding of Higher-Order
Kernels . . . . . . . . . . . . . . . . 447--458
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
Anonymous Editorial Collaborators . . . . . . . . 473--474
Anonymous Index to Volume 3 (1994) . . . . . . . . 475--476
Anonymous Editorial Board Page . . . . . . . . . . ??
G. W. Stewart Gauss, Statistics, and Gaussian
Elimination . . . . . . . . . . . . . . 1--11
José C. Pinheiro and
Douglas M. Bates Approximations to the Log-Likelihood
Function in the Nonlinear Mixed-Effects
Model . . . . . . . . . . . . . . . . . 12--35
Andrew Gelman Method of Moments Using Monte Carlo
Simulation . . . . . . . . . . . . . . . 36--54
Hongshik Ahn and
James J. Chen Generation of Over-Dispersed and
Under-Dispersed Binomial Variates . . . 55--64
Lynn Kuo and
Tae Yang Bayesian Computation of Software
Reliability . . . . . . . . . . . . . . 65--82
Anonymous Editorial Board Page . . . . . . . . . . ??
Christian Posse Tools for Two-Dimensional Exploratory
Projection Pursuit . . . . . . . . . . . 83--100
Lothar Tremmel The Visual Separability of Plotting
Symbols in Scatterplots . . . . . . . . 101--112
Tim Hesterberg Tail-Specific Linear Approximations for
Efficient Bootstrap Simulations . . . . 113--133
S. P. Smith Differentiation of the Cholesky
Algorithm . . . . . . . . . . . . . . . 134--147
Charles J. Geyer Conditioning in Markov chain Monte Carlo 148--154
Anonymous Editorial Board Page . . . . . . . . . . ??
Dianne Cook and
Andreas Buja and
Javier Cabrera and
Catherine Hurley Grand Tour and Projection Pursuit . . . 155--172
J. G. Liao and
Charles B. Hall Fast and Accurate Computation of the
Exact Confidence Limits for the Common
Odds Ratio in Several $ 2 \times 2 $
Tables . . . . . . . . . . . . . . . . . 173--179
Jeffrey L. Solka and
Wendy L. Poston and
Edward J. Wegman A Visualization Technique for Studying
the Iterative Estimation of Mixture
Densities . . . . . . . . . . . . . . . 180--198
James E. Stafford Exact Cumulant Calculations for Pearson
$ \chi^2 $ and Zelterman Statistics for
$r$-Way Contingency Tables . . . . . . . 199--212
Jianqing Fan and
Ir\`ene Gijbels Adaptive Order Polynomial Fitting:
Bandwidth Robustification and Bias
Reduction . . . . . . . . . . . . . . . 213--227
Anonymous Editorial Board Page . . . . . . . . . . ??
Forrest W. Young and
David J. Lubinsky Guiding Data Analysts with Visual
Statistical Strategies . . . . . . . . . 229--250
William Dumouchel and
Thomas Lane Discussion . . . . . . . . . . . . . . . 251--256
Daryl Pregibon Discussion . . . . . . . . . . . . . . . 257--258
Forrest W. Young Rejoinder . . . . . . . . . . . . . . . 259--260
William F. Eddy and
Shingo Oue Dynamic Three-Dimensional Display of
U.S. Air Traffic . . . . . . . . . . . . 261--280
Edward J. Wegman Huge Data Sets and the Frontiers of
Computational Feasibility . . . . . . . 281--295
Christopher Jennison and
Nuala Sheehan Theoretical and Empirical Properties of
the Genetic Algorithm as a Numerical
Optimizer . . . . . . . . . . . . . . . 296--318
Jesus Juan and
Francisco J. Prieto A Subsampling Method for the Computation
of Multivariate Estimators with High
Breakdown Point . . . . . . . . . . . . 319--334
Moon Yul Huh Exploring Multidimensional Data with the
Flipped Empirical Distribution Function 335--343
Anonymous Editorial Collaborators . . . . . . . . 344--345
Anonymous Index for Volume 4(1995) . . . . . . . . 346--347
Anonymous Editorial Board Page . . . . . . . . . . ??
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
William F. Eddy and
Günther Sawitzki Introduction to the Special Section on
Design and Implementation of Data
Analysis Systems . . . . . . . . . . . . 57--57
Daniel A. Keim Pixel-Oriented Visualization Techniques
for Exploring Very Large Data Bases . . 58--77
Andreas Buja and
Dianne Cook and
Deborah F. Swayne Research Scientist Interactive High-Dimensional Data
Visualization . . . . . . . . . . . . . 78--99
William F. Eddy and
Audris Mockus An Interactive Icon Index: Images of the
Outer Planets . . . . . . . . . . . . . 100--111
Anonymous Correction . . . . . . . . . . . . . . . 112--112
Anonymous Editorial Board Page . . . . . . . . . . ??
Antony Unwin and
George Hawkins and
Heike Hofmann and
Bernd Siegl Interactive Graphics for Data Sets with
Missing Values --- MANET . . . . . . . . 113--122
Richard A. Becker and
William S. Cleveland and
Ming-Jen Shyu The Visual Design and Control of Trellis
Display . . . . . . . . . . . . . . . . 123--155
William P. Alexander and
Scott D. Grimshaw Treed Regression . . . . . . . . . . . . 156--175
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
Anonymous Editorial Board Page . . . . . . . . . . ??
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
Peter K. Dunn and
Gordon K. Smyth Randomized Quantile Residuals . . . . . 236--244
Judy L. Palmer and
Lawrence I. Pettit Risks of Using Improper Priors with
Gibbs Sampling and Autocorrelated Errors 245--249
Luke Tierney Recent Developments and Future
Directions in LispStat . . . . . . . . . 250--262
Günther Sawitzki Extensible Statistical Software: On a
Voyage to Oberon . . . . . . . . . . . . 263--283
Johannes L. Marais Extensible Software Systems in Oberon 284--298
Ross Ihaka and
Robert Gentleman R: a Language for Data Analysis and
Graphics . . . . . . . . . . . . . . . . 299--314
Anonymous Editorial Board Page . . . . . . . . . . ??
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--350
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--399
Allan R. Wilks Constraint-Based Representations of
Statistical Graphs . . . . . . . . . . . 400--414
Anonymous Correction . . . . . . . . . . . . . . . 415--415
Anonymous Editorial Collaborators . . . . . . . . 416--417
Anonymous Index to Volume 5 (1996) . . . . . . . . 418--419
Anonymous Editorial Board Page . . . . . . . . . . ??
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
Anonymous Editorial Board Page . . . . . . . . . . ??
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
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
Anonymous Editorial Board Page . . . . . . . . . . ??
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
Anonymous Editorial Board Page . . . . . . . . . . ??
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
Kai-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--482
Anonymous Index to Volume 6 (1997) . . . . . . . . 483--484
Anonymous Editorial Board Page . . . . . . . . . . ??
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
Posteriors . . . . . . . . . . . . . . . 42--60
Claudia Werthenbach and
Eva Herrmann A Fast and Stable Updating Algorithm for
Bivariate Nonparametric 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 and
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
Anonymous Editorial Board Page . . . . . . . . . . ??
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
Anonymous Editorial Board Page . . . . . . . . . . ??
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
Anonymous Editorial Board Page . . . . . . . . . . ??
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 Müller 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--558
Anonymous Editorial Collaborators . . . . . . . . 559--560
Anonymous Index to Volume 7 (1998) . . . . . . . . 561--563
Anonymous Editorial Board Page . . . . . . . . . . ??
Ming-Yen Cheng and
Theo Gasser and
Peter Hall Nonparametric Density Estimation Under
Unimodality and Monotonicity Constraints 1--21
Jeffrey S. Simonoff and
Chih-Ling Tsai Semiparametric and Additive Model
Selection Using an Improved Akaike
Information Criterion . . . . . . . . . 22--40
A. Gregory DiRienzo and
Igor G. Zurbenko Semi-Adaptive Nonparametric Spectral
Estimation . . . . . . . . . . . . . . . 41--59
Julian J. Faraway A Graphical Method of Exploring the Mean
Structure in Longitudinal Data Analysis 60--68
Ming-Hui Chen and
Qi-Man Shao Monte Carlo Estimation of Bayesian
Credible and HPD Intervals . . . . . . . 69--92
Angelo J. Canty Hypothesis Tests of Convergence in
Markov Chain Monte Carlo . . . . . . . . 93--108
Wei Pan Extending the Iterative Convex Minorant
Algorithm to the Cox Model for
Interval-Censored Data . . . . . . . . . 109--120
Paul R. Murrell Layouts: a Mechanism for Arranging Plots
on a Page . . . . . . . . . . . . . . . 121--134
A. Ian McLeod Improved Spread-Location Visualization 135--141
Anonymous Editorial Board Page . . . . . . . . . . ??
Colin R. Goodall and
Kanti V. Mardia Projective Shape Analysis . . . . . . . 143--168
Charles Kooperberg and
Charles J. Stone Stochastic Optimization Methods for
Fitting Polyclass and Feed-Forward
Neural Network Models . . . . . . . . . 169--189
Graham J. Wills NicheWorks --- Interactive Visualization
of Very Large Graphs . . . . . . . . . . 190--212
Jan Beran and
Guerino Mazzola Visualizing the Relationship Between Two
Time Series by Hierarchical Smoothing
Models . . . . . . . . . . . . . . . . . 213--238
Andrea Cerioli and
Marco Riani The Ordering of Spatial Data and the
Detection of Multiple Outliers . . . . . 239--258
Peter Hall and
Brett Presnell Density Estimation Under Constraints . . 259--277
Woocheol Kim and
Oliver B. Linton and
Niklaus W. Hengartner A Computationally Efficient Oracle
Estimator for Additive Nonparametric
Regression with Bootstrap Confidence
Intervals . . . . . . . . . . . . . . . 278--297
Marie-Anne Gruet and
Anne Philippe and
Christian P. Robert MCMC Control Spreadsheets for
Exponential Mixture Estimation . . . . . 298--317
Ping-Hung Hsieh Robustness of Tail Index Estimation . . 318--332
Mary J. Lindstrom Penalized Estimation of Free-Knot
Splines . . . . . . . . . . . . . . . . 333--352
Haiyan Cai Cluster Algorithms for Spatial Point
Processes with Symmetric and Shift
Invariant Interactions . . . . . . . . . 353--372
Anonymous Editorial Board Page . . . . . . . . . . ??
Michael Friendly Extending Mosaic Displays: Marginal,
Conditional, and Partial Views of
Categorical Data . . . . . . . . . . . . 373--395
Martin Theus and
Stephan R. W. Lauer Visualizing Loglinear Models . . . . . . 396--412
Daniel R. Eno and
George R. Terrell Scatterplots for Logistic Regression . . 413--425
Daniel F. McCaffrey Comment: Scatterplots for Logistic
Regression . . . . . . . . . . . . . . . 426--427
Daniel R. Eno and
George R. Terrell Rejoinder: Scatterplots for Logistic
Regression . . . . . . . . . . . . . . . 428--430
S. G. Giakoumatos and
I. D. Vrontos and
P. Dellaportas and
D. N. Politis A Markov Chain Monte Carlo Convergence
Diagnostic Using Subsampling . . . . . . 431--451
Geof H. Givens and
Paul J. Roback Logarithmic Pooling of Priors Linked by
a Deterministic Simulation Model . . . . 452--478
D. W. Müller An Algorithm for Computing the Best
Convex Contrast Curve of Two Bivariate
Samples . . . . . . . . . . . . . . . . 479--492
Francisco J. Diaz Identifying Tail Behavior by Means of
Residual Quantile Functions . . . . . . 493--509
Fuchun Huang and
Yosihiko Ogata Improvements of the Maximum
Pseudo-Likelihood Estimators in Various
Spatial Statistical Models . . . . . . . 510--530
Trevor Hastie and
Debra Ikeda and
Robert Tibshirani Statistical Measures for the
Computer-Aided Diagnosis of Mammographic
Masses . . . . . . . . . . . . . . . . . 531--543
Andreas Buja and
Sallie Keller-McNulty Introduction to the Special Section on
Massive Datasets . . . . . . . . . . . . 544--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--558
Gad Levy and
Calton Pu and
Paul D. Sampson Statistical, Physical, and Computational
Aspects of Massive Data Analysis and
Assimilation in Atmospheric Applications 559--574
Ralph Kahn and
Amy Braverman What Shall We Do With the Data We Are
Expecting From Upcoming Earth
Observation Satellites? . . . . . . . . 575--588
Usama M. Fayyad and
Padhraic Smyth Cataloging and Mining Massive Datasets
for Science Data Analysis . . . . . . . 589--610
Allen A. Mcintosh Analyzing Telephone Network Data . . . . 611--619
Colin R. Goodall Data Mining of Massive Datasets in
Healthcare . . . . . . . . . . . . . . . 620--634
Peter J. Huber Massive Datasets Workshop: Four Years
After . . . . . . . . . . . . . . . . . 635--652
Alessandra R. Brazzale Approximate Conditional Inference in
Logistic and Loglinear Models . . . . . 653--661
Steven L. Scott Bayesian Analysis of a Two-State Markov
Modulated Poisson Process . . . . . . . 662--670
Anonymous Editorial Board Page . . . . . . . . . . ??
Robert Tibshirani and
Keith Knight Model Search by Bootstrap ``Bumping'' 671--686
Wei Pan Bootstrapping Likelihood for Model
Selection With Small Samples . . . . . . 687--698
Andreas F. Ruckstuhl and
Alan H. Welsh Reference Bands for Nonparametrically
Estimated Link Functions . . . . . . . . 699--714
Jean D. Opsomer and
David Ruppert A Root-$n$ Consistent Backfitting
Estimator for Semiparametric Additive
Modeling . . . . . . . . . . . . . . . . 715--732
Edwin Choi and
Peter Hall Nonparametric Approach to Analysis of
Space-Time Data on Earthquake
Occurrences . . . . . . . . . . . . . . 733--748
Yan Yu and
Diane Lambert Fitting Trees to Functional Data, With
an Application to Time-of-Day Patterns 749--762
Carlo Grillenzoni Adaptive Tests for Changing Unit Roots
in Nonstationary Time Series . . . . . . 763--778
Hemant Ishwaran Applications of Hybrid Monte Carlo to
Bayesian Generalized Linear Models:
Quasicomplete Separation and Neural
Networks . . . . . . . . . . . . . . . . 779--799
Wei Shen and
Thomas A. Louis Empirical Bayes Estimation via the
Smoothing by Roughening Approach . . . . 800--823
Fabio Gagliardi Cozman Calculation of Posterior Bounds Given
Convex Sets of Prior Probability
Measures and Likelihood Functions . . . 824--838
Joan Z. Yu and
Martin A. Tanner An Analytical Study of Several Markov
Chain Monte Carlo Estimators of the
Marginal Likelihood . . . . . . . . . . 839--853
Pentti Paatero The Multilinear Engine --- a
Table-Driven, Least Squares Program for
Solving Multilinear Problems, Including
the $n$-Way Parallel Factor Analysis
Model . . . . . . . . . . . . . . . . . 854--888
Thaddeus Tarpey Self-Consistency Algorithms . . . . . . 889--905
Bruno Falissard Focused Principal Component Analysis:
Looking at a Correlation Matrix With a
Particular Interest in a Given Variable 906--912
Anonymous Editorial Collaborators . . . . . . . . 913--914
Anonymous Editorial Board Page . . . . . . . . . . ??
Kenneth Lange and
David R. Hunter and
Ilsoon Yang Optimization Transfer Using Surrogate
Objective Functions . . . . . . . . . . 1--20
Henk A. L. Kiers Discussion: Optimization Transfer Using
Surrogate Objective Functions . . . . . 21--25
Jan de Leeuw and
George Michailidis Discussion: Optimization Transfer Using
Surrogate Objective Functions . . . . . 26--31
Ying Nian Wu Discussion: Optimization Transfer Using
Surrogate Objective Functions . . . . . 32--34
Xiao-Li Meng Discussion: Optimization Transfer Using
Surrogate Objective Functions . . . . . 35--43
Patrick J. F. Groenen and
Willem J. Heiser Discussion: Optimization Transfer Using
Surrogate Objective Functions . . . . . 44--48
Andrew Gelman Discussion: Optimization Transfer Using
Surrogate Objective Functions . . . . . 49--51
David R. Hunter and
Kenneth Lange Rejoinder: Optimization Transfer Using
Surrogate Objective Functions . . . . . 52--59
David R. Hunter and
Kenneth Lange Quantile Regression via an MM Algorithm 60--77
David A. van Dyk Fitting Mixed-Effects Models Using
Efficient EM-Type Algorithms . . . . . . 78--98
Steven N. Maceachern and
Mario Peruggia Importance Link Function Estimation for
Markov Chain Monte Carlo Methods . . . . 99--121
Clemens Biller Adaptive Bayesian Regression Splines in
Semiparametric Generalized Linear Models 122--140
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--157
Michael Friendly Note on ``Obtaining the Maximum
Likelihood Estimates in Incomplete $ R
\times C $ Contingency Tables Using a
Poisson Generalized Linear Model'' . . . 158--166
Sucharita Ghosh and
Jan Beran Two-Sample $ T_3 $ Plot: a Graphical
Comparison of Two Distributions . . . . 167--179
Stephan Morgenthaler and
John W. Tukey Fitting Quantiles: Doubling, \em HR, \em
HQ, and \em HHH Distributions . . . . . 180--195
Gordon K. Smyth and
Douglas M. Hawkins Robust Frequency Estimation Using
Elemental Sets . . . . . . . . . . . . . 196--214
Anonymous Correction . . . . . . . . . . . . . . . 215--215
Anonymous Editorial Board Page . . . . . . . . . . ??
Daniel J. Sargent and
James S. Hodges and
Bradley P. Carlin Structured Markov Chain Monte Carlo . . 217--234
Kert Viele Posterior Simulation with Priors
Specified on Functionals . . . . . . . . 235--248
Radford M. Neal Markov Chain Sampling Methods for
Dirichlet Process Mixture Models . . . . 249--265
S. P. Brooks and
P. Giudici Markov Chain Monte Carlo Convergence
Assessment via Two-Way Analysis of
Variance . . . . . . . . . . . . . . . . 266--285
Boris Kozintsev and
Benjamin Kedem Generation of ``Similar'' Images from a
Given Discrete Image . . . . . . . . . . 286--302
Kevin Wright and
William J. Kennedy An Interval Analysis Approach to the EM
Algorithm . . . . . . . . . . . . . . . 303--318
Michael R. Osborne and
Brett Presnell and
Berwin A. Turlach On the LASSO and its Dual . . . . . . . 319--337
Burkhardt Seifert and
Theo Gasser Data Adaptive Ridging in Local
Polynomial Regression . . . . . . . . . 338--360
Sylvain Sardy and
Andrew G. Bruce and
Paul Tseng Block Coordinate Relaxation Methods for
Nonparametric Wavelet Denoising . . . . 361--379
Philip J. Everson and
Carl N. Morris Simulation from Wishart Distributions
with Eigenvalue Constraints . . . . . . 380--389
J. Chadoeuf and
R. Senoussi and
J. F. Yao Parametric Estimation of a Boolean
Segment Process with Stochastic
Restoration Estimation . . . . . . . . . 390--402
Anonymous Editorial Board Page . . . . . . . . . . ??
Andreas Buja Editor Introduction: Special Issue on Systems
and Languages . . . . . . . . . . . . . 403--403
Scandreas Buja Introduction: Special Issue on Systems
and Languages . . . . . . . . . . . . . 403--403
John M. Chambers Users, Programmers, and Statistical
Software . . . . . . . . . . . . . . . . 404--422
Duncan Temple Lang The Omegahat Environment: New
Possibilities for Statistical Computing 423--451
Robert Gentleman and
Ross Ihaka Java and Dylan . . . . . . . . . . . . . 452--458
Luke Tierney Connecting Lisp-Stat to COM . . . . . . 459--469
Jürgen Symanzik and
Dianne Cook and
Nicholas Lewin-Koh and
James J. Majure and
Inna Megretskaia Linking ArcView\TM and XGobi: Insight
behind the Front End . . . . . . . . . . 470--490
Robert Gentleman and
Ross Ihaka Lexical Scope and Statistical Computing 491--508
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--529
Leland Wilkinson and
Daniel J. Rope and
Daniel B. Carr and
Matthew A. Rubin The Language of Graphics . . . . . . . . 530--543
Graham J. Wills Natural Selection: Interactive Subset
Creation . . . . . . . . . . . . . . . . 544--557
Catherine B. Hurley Graphical Selection of Data Views . . . 558--581
Paul Murrell and
Ross Ihaka An Approach to Providing Mathematical
Annotation in Plots . . . . . . . . . . 582--599
Peter J. Huber Languages for Statistics and Data
Analysis . . . . . . . . . . . . . . . . 600--620
Anonymous Editorial Board Page . . . . . . . . . . ??
Alexandre Bureau and
James P. Hughes and
Stephen C. Shiboski An S-Plus Implementation of Hidden
Markov Models in Continuous Time . . . . 621--632
Peter D. Hoff Constrained Nonparametric Maximum
Likelihood via Mixtures . . . . . . . . 633--641
Muhammad Jalaluddin and
Michael R. Kosorok An Algorithm for Robust Inference for
the Cox Model With Frailties . . . . . . 642--652
Ilya Gluhovsky Image Restoration Using Modifications of
Simulated Annealing . . . . . . . . . . 653--671
Daniel A. Coleman and
David L. Woodruff Cluster Analysis for Large Datasets: an
Effective Algorithm for Maximizing the
Mixture Likelihood . . . . . . . . . . . 672--688
Ian T. Jolliffe and
Mudassir Uddin The Simplified Component Technique: An
Alternative to Rotated Principal
Components . . . . . . . . . . . . . . . 689--710
Fernando A. Quintana and
Michael A. Newton Computational Aspects of Nonparametric
Bayesian Analysis With Applications to
the Modeling of Multiple Binary
Sequences . . . . . . . . . . . . . . . 711--737
Thomas Lumley and
Patrick Heagerty Graphical Exploratory Analysis of
Survival Data . . . . . . . . . . . . . 738--749
A. C. Davison and
S. Sardy The Partial Scatterplot Matrix . . . . . 750--758
Ofra Barnett and
Ayala Cohen The Histogram and Boxplot for the
Display of Lifetime Data . . . . . . . . 759--778
Paola Sebastiani and
Marco Ramoni Bayesian Inference With Missing Data
Using Bound and Collapse . . . . . . . . 779--800
Anonymous Editorial Collaborators . . . . . . . . 801--802
Anonymous Index to Volume 9 (2000) . . . . . . . . 803--806
Anonymous Editorial Board Page . . . . . . . . . . ??
David A. van Dyk and
Xiao-Li Meng The Art of Data Augmentation . . . . . . 1--50
Richard A. Levine Discussion: The Art of Data
Argumentation . . . . . . . . . . . . . 51--58
James P. Hobert Discussion: The Art of Data
Argumentation . . . . . . . . . . . . . 59--68
Dave Higdon Discussion: The Art of Data
Argumentation . . . . . . . . . . . . . 69--74
Chuanhai Liu Discussion: The Art of Data
Argumentation . . . . . . . . . . . . . 75--81
Gabriel Huerta and
Wenxin Jiang and
Martin A. Tanner Discussion: The Art of Data
Argumentation . . . . . . . . . . . . . 82--89
Ying Nian Wu and
Song Chun Zhu Discussion: The Art of Data
Argumentation . . . . . . . . . . . . . 90--93
Antonietta Mira and
Peter J. Green Discussion: The Art of Data
Argumentation . . . . . . . . . . . . . 94--97
David A. van Dyk and
Xiao-Li Meng Rejoinder: The Art of Data Argumentation 98--111
Brandon Whitcher Simulating Gaussian Stationary Processes
With Unbounded Spectra . . . . . . . . . 112--134
Karen V. Shane and
Jeffrey S. Simonoff A Robust Approach to Categorical Data
Analysis . . . . . . . . . . . . . . . . 135--157
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--184
James P. Hobert Stability Relationships Among the Gibbs
Sampler and its Subchains . . . . . . . 185--205
Paul Damien and
Stephen G. Walker Sampling Truncated Normal, Beta, and
Gamma Densities . . . . . . . . . . . . 206--215
Gareth O. Roberts and
Sujit K. Sahu Approximate Predetermined Convergence
Properties of the Gibbs Sampler . . . . 216--229
Simon J. Godsill On the Relationship Between Markov Chain
Monte Carlo Methods for Model
Uncertainty . . . . . . . . . . . . . . 230--248
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--276
Wen-Hua Ju and
Yehuda Vardi A Hybrid High-Order Markov Chain Model
for Computer Intrusion Detection . . . . 277--295
Daniel Q. Naiman and
Carey E. Priebe Computing Scan Statistic $p$ Values
Using Importance Sampling, With
Applications to Genetics and Medical
Image Analysis . . . . . . . . . . . . . 296--328
Eirik Fossgaard Alternative Local Discriminant Bases
Using Empirical Expectation and Variance
Estimation . . . . . . . . . . . . . . . 329--349
S. P. Smith Likelihood-Based Analysis of Linear
State-Space Models Using the Cholesky
Decomposition . . . . . . . . . . . . . 350--369
Xavier de Luna and
Marc G. Genton Robust Simulation-Based Estimation of
ARMA Models . . . . . . . . . . . . . . 370--387
Piet Groeneboom and
Jon A. Wellner Computing Chernoff's Distribution . . . 388--400
Anonymous Recent Publications in \booktitleJSS . . 401--401
R. Gentleman and
A. C. Vandal Computational Algorithms for
Censored-Data Problems Using
Intersection Graphs . . . . . . . . . . 403--421
Richard A. Levine and
George Casella Implementations of the Monte Carlo EM
Algorithm . . . . . . . . . . . . . . . 422--439
Michael Wiper and
David Rios Insua and
Fabrizio Ruggeri Mixtures of Gamma Distributions With
Applications . . . . . . . . . . . . . . 440--454
Kewei Ming and
Paul R. Rosenbaum A Note on Optimal Matching With Variable
Controls Using the Assignment Algorithm 455--463
Christian Posse Hierarchical Model-Based Clustering for
Large Datasets . . . . . . . . . . . . . 464--486
Christopher Raphael A Probabilistic Expert System for
Automatic Musical Accompaniment . . . . 487--512
Marco Riani and
Anthony C. Atkinson A Unified Approach to Outliers, Inuence,
and Transformations in Discriminant
Analysis . . . . . . . . . . . . . . . . 513--544
Andrew J. Smith and
John Nelder and
Andreas Buja and
Zahid Malik and
Lisa Tweedie and
Robert Spence Sampling Schemes for Model Visualization 545--554
A. W. Marshall and
J. C. Meza and
I. Olkin Can Data Recognize Its Parent
Distribution? . . . . . . . . . . . . . 555--580
Chong Gu and
Dong Xiang Cross-Validating Non-Gaussian Data:
Generalized Approximate Cross-Validation
Revisited . . . . . . . . . . . . . . . 581--591
Peter Hall and
Li-Shan Huang and
James A. Gifford and
Irene Gijbels Nonparametric Estimation of Hazard Rate
Under the Constraint of Monotonicity . . 592--614
Anonymous Primary Article . . . . . . . . . . . . 615--615
Anonymous Correction . . . . . . . . . . . . . . . 615--615
Anonymous Recent Publications in \booktitleJSS . . 616--616
Iain Pardoe A Bayesian Sampling Approach to
Regression Model Checking . . . . . . . 617--627
Heike Hofmann Generalized Odds Ratios for Visual
Modeling . . . . . . . . . . . . . . . . 628--640
Peter Karcher and
Yuedong Wang Generalized Nonparametric Mixed Effects
Models . . . . . . . . . . . . . . . . . 641--655
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--806
F. Godtliebsen and
J. S. Marron and
Probal Chaudhuri Significance in Scale Space for
Bivariate Density Estimation . . . . . . 1--21
Stephen G. Eick and
Alan F. Karr Visual Scalability . . . . . . . . . . . 22--43
Amy Braverman Compressing Massive Geophysical Datasets
Using Vector Quantization . . . . . . . 44--62
Hsin-Cheng Huang and
Noel Cressie and
John Gabrosek Fast, Resolution-Consistent Spatial
Prediction of Global Processes From
Satellite Data . . . . . . . . . . . . . 63--88
Michael Friendly A Brief History of the Mosaic Display 89--107
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--136
Edward J. Wegman and
Qiang Luo On Methods of Computer Graphics for
Visualizing Densities . . . . . . . . . 137--162
Edward J. Wegman and
Jürgen Symanzik Immersive Projection Technology for
Visual Data Mining . . . . . . . . . . . 163--188
Eric T. Bradlow and
Bruce G. S. Hardie and
Peter S. Fader Bayesian Inference for the Negative
Binomial Distribution via Polynomial
Expansions . . . . . . . . . . . . . . . 189--201
Philip J. Everson and
Eric T. Bradlow Bayesian Inference for the Beta-Binomial
Distribution via Polynomial Expansions 202--207
Efthymios G. Tsionas Bayesian Inference in the Noncentral
Student-$t$ Model . . . . . . . . . . . 208--221
Herbert K. H. Lee Difficulties in Estimating the
Normalizing Constant of the Posterior
for a Neural Network . . . . . . . . . . 222--235
Marcelo C. Medeiros and
Alvaro Veiga and
Mauricio G. C. Resende A Combinatorial Approach to Piecewise
Linear Time Series Analysis . . . . . . 236--258
Anonymous Recent Publications in \booktitleJSS . . 259--260
Daniel A. Bloch and
Richard A. Olshen and
Michael G. Walker Risk Estimation for Classification Trees 263--288
Alan E. Gelfand and
Athanasios Kottas A Computational Approach for Full
Nonparametric Bayesian Inference Under
Dirichlet Process Mixture Models . . . . 289--305
Alessandra Guglielmi and
Chris C. Holmes and
Stephen G. Walker Perfect Simulation Involving Functionals
of a Dirichlet Process . . . . . . . . . 306--310
Canan Bilen and
S. Huzurbazar Wavelet-Based Detection of Outliers in
Time Series . . . . . . . . . . . . . . 311--327
Hong Ooi Density Visualization and Mode Hunting
Using Trees . . . . . . . . . . . . . . 328--347
Stephen P. Ellner and
Yodit Seifu Using Spatial Statistics to Select Model
Complexity . . . . . . . . . . . . . . . 348--369
Ian Dryden and
Luigi Ippoliti and
Luca Romagnoli Adjusted Maximum Likelihood and
Pseudo-Likelihood Estimation for Noisy
Gaussian Markov Random Fields . . . . . 370--388
Jake D. Brutlag and
Thomas S. Richardson A Block Sampling Approach to Distinct
Value Estimation . . . . . . . . . . . . 389--404
R. Rocci and
G. Bove Rotation Techniques in Asymmetric
Multidimensional Scaling . . . . . . . . 405--419
Michael Parzen and
Stuart Lipsitz and
Joseph Ibrahim and
Neil Klar An Estimate of the Odds Ratio That
Always Exists . . . . . . . . . . . . . 420--436
Joseph L. Schafer and
Recai M. Yucel Computational Strategies for
Multivariate Linear Mixed-Effects Models
With Missing Values . . . . . . . . . . 437--457
Hans J. Skaug Automatic Differentiation to Facilitate
Maximum Likelihood Estimation in
Nonlinear Random Effects Models . . . . 458--470
Alan D. Hutson ``Exact'' Bootstrap Confidence Bands for
the Quantile Function via Steck's
Determinant . . . . . . . . . . . . . . 471--482
Anonymous Recent Publications in \booktitleJSS . . 483--484
Jennifer A. Hoeting and
Adrian E. Raftery and
David Madigan Bayesian Variable and Transformation
Selection in Linear Regression . . . . . 485--507
Hemant Ishwaran and
Lancelot F. James Approximate Dirichlet Process Computing
in Finite Normal Mixtures: Smoothing and
Prior Information . . . . . . . . . . . 508--532
C. C. Holmes and
D. G. T. Denison and
B. K. Mallick Accounting for Model Uncertainty in
Seemingly Unrelated Regressions . . . . 533--551
Xiao-Li Meng and
Stephen Schilling Warp Bridge Sampling . . . . . . . . . . 552--586
Michael L. Stein Fast and Exact Simulation of Fractional
Brownian Surfaces . . . . . . . . . . . 587--599
Denis White and
Jean C. Sifneos Regression Tree Cartography . . . . . . 600--614
Jennifer Pittman Adaptive Splines and Genetic Algorithms 615--638
Douglas B. Clarkson and
Yihui Zhan Using Spherical-Radial Quadrature to Fit
Generalized Linear Mixed Effects Models 639--659
L. K. Jones and
P. J. O'Neil On Markov Chain Monte Carlo Algorithms
for Computing Conditional Expectations
Based on Sufficient Statistics . . . . . 660--677
Theodore C. Lystig and
James P. Hughes Exact Computation of the Observed
Information Matrix for Hidden Markov
Models . . . . . . . . . . . . . . . . . 678--689
Jan Beran and
Yuanhua Feng Iterative Plug-In Algorithms for SEMIFAR
Models --- Definition, Convergence, and
Asymptotic Properties . . . . . . . . . 690--713
Jian-Shen Chen and
Robert I. Jennrich Simple Accurate Approximation of
Likelihood Profiles . . . . . . . . . . 714--732
Anonymous Recent Publications in \booktitleJSS . . 733--734
David Ruppert Selecting the Number of Knots for
Penalized Splines . . . . . . . . . . . 735--757
Paul H. C. Eilers and
Brian D. Marx Generalized Linear Additive Smooth
Structures . . . . . . . . . . . . . . . 758--783
T. Cai and
R. J. Hyndman and
M. P. Wand Mixed Model-Based Hazard Estimation . . 784--798
Peihua Qiu A Nonparametric Procedure to Detect
Jumps in Regression Surfaces . . . . . . 799--822
Tae Yoon Kim and
Jeong Soo Park and
Dennis D. Cox Fast Algorithm for Cross-Validation of
the Best Linear Unbiased Predictor . . . 823--835
Gordon K. Smyth An Efficient Algorithm for REML in
Heteroscedastic Regression . . . . . . . 836--847
Paul Fearnhead Markov Chain Monte Carlo, Sufficient
Statistics, and Particle Filters . . . . 848--862
Nicole A. Lazar and
Joseph B. Kadane Movies for the Visualization of MCMC
Output . . . . . . . . . . . . . . . . . 863--874
John Fox and
Robert Stine and
Georges Monette and
Neeru Vohra Detecting Clusters and Nonlinearity in
Three-Dimensional Dynamic Graphs . . . . 875--895
Omer F. Demirel and
Thomas R. Willemain A Turing Test of Bootstrap Scenarios . . 896--909
Xiaomi Hu and
Hari Mukerjee Constructing All Extremes of Contingency
Tables With Given Marginals . . . . . . 910--919
H. I. Gassmann and
I. Deák and
T. Szántai Computing Multivariate Normal
Probabilities: a New Look . . . . . . . 920--949
Alan Genz and
Frank Bretz Comparison of Methods for the
Computation of Multivariate $t$
Probabilities . . . . . . . . . . . . . 950--971
Hermann Singer Parameter Estimation of Nonlinear
Stochastic Differential Equations:
Simulated Maximum Likelihood versus
Extended Kalman Filter and Itô-Taylor
Expansion . . . . . . . . . . . . . . . 972--995
Anonymous Recent Publications in \booktitleJSS . . 996--997
S. P. Brooks and
P. Giudici and
A. Philippe Nonparametric Convergence Assessment for
MCMC Model Selection . . . . . . . . . . 1--22
Paul Yau and
Robert Kohn and
Sally Wood Bayesian Variable Selection and Model
Averaging in High-Dimensional
Multinomial Nonparametric Regression . . 23--54
Merrilee Hurn and
Ana Justel and
Christian P. Robert Estimating Mixtures of Regressions . . . 55--79
Forrest W. Young and
Pedro Valero-Mora and
Richard A. Faldowski and
Carla M. Bann Gossip: The Architecture of SpreadPlots 80--100
Mu Zhu and
Trevor J. Hastie Feature Extraction for Nonparametric
Discriminant Analysis . . . . . . . . . 101--120
R. J. Bolton and
W. J. Krzanowski Projection Pursuit Clustering for
Exploratory Data Analysis . . . . . . . 121--142
Rituparna Sen and
Mark H. Hansen Predicting Web Users' Next Access Based
on Log Data . . . . . . . . . . . . . . 143--155
Terry M. Therneau and
Patricia M. Grambsch and
V. Shane Pankratz Penalized Survival Models and Frailty 156--175
Göran Kauermann and
Gerhard Tutz Semi- and Nonparametric Modeling of
Ordinal Data . . . . . . . . . . . . . . 176--196
Satoshi Miyata and
Xiaotong Shen Adaptive Free-Knot Splines . . . . . . . 197--213
Wolfgang Jank and
James Booth Efficiency of Monte Carlo EM and
Simulated Maximum Likelihood in
Two-Stage Hierarchical Models . . . . . 214--229
Roberto Leon-Gonzalez A Panel Data Simultaneous Equation Model
With a Dependent Categorical Variable
and Selectivity . . . . . . . . . . . . 230--242
Anonymous Recent Publications in \booktitleJSS . . 243--248
Murali Haran and
James S. Hodges and
Bradley P. Carlin Accelerating Computation in Markov
Random Field Models for Spatial Data via
Structured MCMC . . . . . . . . . . . . 249--264
Mary C. Meyer An Evolutionary Algorithm With
Applications to Statistics . . . . . . . 265--281
Hani Doss and
Fred W. Huffer Monte Carlo Methods for Bayesian
Analysis of Survival Data Using Mixtures
of Dirichlet Process Priors . . . . . . 282--307
Luisa Scaccia and
Peter J. Green Bayesian Growth Curves Using Normal
Mixtures With Nonparametric Weights . . 308--331
Ramani S. Pilla and
Peng Tao and
Carey E. Priebe Adaptive Methods for Spatial Scan
Analysis via Semiparametric Mixture
Models . . . . . . . . . . . . . . . . . 332--353
Tom Duchamp and
Werner Stuetzle Spline Smoothing on Surfaces . . . . . . 354--381
R. L. Eubank and
Chunfeng Huang and
Suojin Wang Adaptive Order Selection for Spline
Smoothing . . . . . . . . . . . . . . . 382--397
Petra M. Kuhnert and
Kerrie Mengersen Reliability Measures for Local Nodes
Assessment in Classification Trees . . . 398--416
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--433
Luis Angel García-Escudero and
Alfonso Gordaliza and
Carlos Matrán Trimming Tools in Exploratory Data
Analysis . . . . . . . . . . . . . . . . 434--449
Allan D. McQuarrie and
Chih-Ling Tsai Outlier Detections in Autoregressive
Models . . . . . . . . . . . . . . . . . 450--471
Anonymous Recent Publications in \booktitleJSS . . 472--474
Ingo Ruczinski and
Charles Kooperberg and
Michael Leblanc Logic Regression . . . . . . . . . . . . 475--511
Hyunjoong Kim and
Wei-Yin Loh Classification Trees With Bivariate
Linear Discriminant Node Models . . . . 512--530
Ian T. Jolliffe and
Nickolay T. Trendafilov and
Mudassir Uddin A Modified Principal Component Technique
Based on the LASSO . . . . . . . . . . . 531--547
Peter J. Lenk Bayesian Semiparametric Density
Estimation and Model Verification Using
a Logistic-Gaussian Process . . . . . . 548--565
Anthony E. Brockwell and
Joseph B. Kadane A Gridding Method for Bayesian
Sequential Decision Problems . . . . . . 566--584
Kenneth J. Ryan Estimating Expected Information Gains
for Experimental Designs With
Application to the Random Fatigue-Limit
Model . . . . . . . . . . . . . . . . . 585--603
Yann Guédon Estimating Hidden Semi-Markov Chains
From Discrete Sequences . . . . . . . . 604--639
Yi Li and
Louise Ryan and
Scarlett Bellamy and
Glen A. Satten Inference on Clustered Survival Data
Using Imputed Frailties . . . . . . . . 640--662
Il Do Ha and
Youngjo Lee Estimating Frailty Models via Poisson
Hierarchical Generalized Linear Models 663--681
Ruggero Bellio and
Alessandra R. Brazzale Higher Order Asymptotics Unleashed:
Software Design for Nonlinear
Heteroscedastic Regression . . . . . . . 682--697
Hao Zhang Optimal Interpolation and the
Appropriateness of Cross-Validating
Variogram in Spatial Generalized Linear
Mixed Models . . . . . . . . . . . . . . 698--713
Henry Horng-Shing Lu and
Su-Yun Huang and
Fang-Jiun Lin Generalized Cross-Validation for Wavelet
Shrinkage in Nonparametric Mixed Effects
Models . . . . . . . . . . . . . . . . . 714--730
H. I. Gassmann Multivariate Normal Probabilities:
Implementing an Old Idea of Plackett's 731--752
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: Computation for Atmosphere-Ocean
Research . . . . . . . . . . . . . . . . 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
Brendt 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: Strategies for Stream Analysis
and System Architecture . . . . . . . . 865--892
Edward J. Wegman and
David J. Marchette On Some Techniques for Streaming Data: A
Case Study of Internet Packet Headers 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
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 and
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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 and
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
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
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
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
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
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
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
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
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
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
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
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
Richard A. Levine Editorial: Volume 21 Preview and
Manuscript Processing Statistics, in
Brief . . . . . . . . . . . . . . . . . 1--1
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
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
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
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
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
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
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
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
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 The Generalized Pairs Plot 290--291
Anonymous Recent Publications in \booktitleJSS . . 292--293
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 \booktitleJSS . . 586--588
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 \booktitleJSS . . 893--894
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 \booktitleJSS . . 1179--1181
Anonymous Editorial Collaborators . . . . . . . . 1182--1185
Anonymous EOV Editorial Board . . . . . . . . . . ebi--ebi
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
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
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
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
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 \booktitleJSS . . 321--323
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
Dimitris Fouskakis and
Ioannis Ntzoufras Power-Conditional-Expected Priors: Using
$g$-Priors With Random Imaginary Data
for Variable Selection . . . . . . . . . 647--664
Ray-Bing Chen and
Chi-Hsiang Chu and
Shinsheng Yuan and
Ying Nian Wu Bayesian Sparse Group Selection . . . . 665--683
Lei Gong and
James M. Flegal A Practical Sequential Stopping Rule for
High-Dimensional Markov Chain Monte
Carlo . . . . . . . . . . . . . . . . . 684--700
Yan Zhou and
Adam M. Johansen and
John A. D. Aston Toward Automatic Model Comparison: An
Adaptive Sequential Monte Carlo Approach 701--726
Anandamayee Majumdar and
Debashis Paul Zero Expectile Processes and Bayesian
Spatial Regression . . . . . . . . . . . 727--747
Leo L. Duan and
John P. Clancy and
Rhonda D. Szczesniak Bayesian Ensemble Trees (BET) for
Clustering and Prediction in
Heterogeneous Data . . . . . . . . . . . 748--761
Chiranjit Mukherjee and
Abel Rodriguez GPU-Powered Shotgun Stochastic Search
for Dirichlet Process Mixtures of
Gaussian Graphical Models . . . . . . . 762--788
Lawrence M. Murray and
Anthony Lee and
Pierre E. Jacob Parallel Resampling in the Particle
Filter . . . . . . . . . . . . . . . . . 789--805
Chong Zhang and
Yufeng Liu and
Junhui Wang and
Hongtu Zhu Reinforced Angle-Based Multicategory
Support Vector Machines . . . . . . . . 806--825
Boxiang Wang and
Hui Zou Sparse Distance Weighted Discrimination 826--838
Aaditya Ramdas and
Ryan J. Tibshirani Fast and Flexible ADMM Algorithms for
Trend Filtering . . . . . . . . . . . . 839--858
Gen Li and
Haipeng Shen and
Jianhua Z. Huang Supervised Sparse and Functional
Principal Component Analysis . . . . . . 859--878
Piotr Fryzlewicz and
Catherine Timmermans SHAH: SHape-Adaptive Haar Wavelets for
Image Processing . . . . . . . . . . . . 879--898
Ollivier Hyrien and
Andrea Baran Fast Nonparametric Density-Based
Clustering of Large Datasets Using a
Stochastic Approximation Mean-Shift
Algorithm . . . . . . . . . . . . . . . 899--916
Jan Beran and
Sven Möhrle and
Sucharita Ghosh Testing for Hermite Rank in Gaussian
Subordination Processes . . . . . . . . 917--934
Davide Ferrari and
Guoqi Qian and
Tane Hunter Parsimonious and Efficient Likelihood
Composition by Gibbs Sampling . . . . . 935--953
Radhendushka Srivastava and
Ping Li and
David Ruppert RAPTT: An Exact Two-Sample Test in High
Dimensions Using Random Projections . . 954--970
Gregory B. Gloor and
Jean M. Macklaim and
Andrew D. Fernandes Displaying Variation in Large Datasets:
Plotting a Visual Summary of Effect
Sizes . . . . . . . . . . . . . . . . . 971--979
Anonymous Correction . . . . . . . . . . . . . . . 980--980
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
Yin Lou and
Jacob Bien and
Rich Caruana and
Johannes Gehrke Sparse Partially Linear Additive Models 1026--1040
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
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
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
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
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
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
L. F. Price and
C. C. Drovandi and
A. Lee and
D. J. Nott Bayesian Synthetic Likelihood . . . . . 1--11
Matias Quiroz and
Minh-Ngoc Tran and
Mattias Villani and
Robert Kohn Speeding up MCMC by Delayed Acceptance
and Data Subsampling . . . . . . . . . . 12--22
Jacob Bien and
Irina Gaynanova and
Johannes Lederer and
Christian L. Müller Non-Convex Global Minimization and False
Discovery Rate Control for the TREX . . 23--33
Weihong Huang and
Juan Shen and
Yuguo Chen The Self-Multiset Sampler . . . . . . . 34--47
Jie Zhou and
Jiajia Zhang and
Wenbin Lu Computationally Efficient Estimation for
the Generalized Odds Rate Mixture Cure
Model With Interval-Censored Data . . . 48--58
Wanchuang Zhu and
Yanan Fan A Novel Approach for Markov Random Field
With Intractable Normalizing Constant on
Large Lattices . . . . . . . . . . . . . 59--70
Maria DeYoreo and
Athanasios Kottas Bayesian Nonparametric Modeling for
Multivariate Ordinal Regression . . . . 71--84
Zhengwu Zhang and
Eric Klassen and
Anuj Srivastava Phase-Amplitude Separation and Modeling
of Spherical Trajectories . . . . . . . 85--97
Pierre Latouche and
Stéphane Robin and
Sarah Ouadah Goodness of Fit of Logistic Regression
Models for Random Graphs . . . . . . . . 98--109
Huang Huang and
Ying Sun Hierarchical Low Rank Approximation of
Likelihoods for Large Spatial Datasets 110--118
Feng Chen and
Tom Stindl Direct Likelihood Evaluation for the
Renewal Hawkes Process . . . . . . . . . 119--131
Niladri Roy Chowdhury and
Dianne Cook and
Heike Hofmann and
Mahbubul Majumder Measuring Lineup Difficulty By Matching
Distance Metrics With Subject Choices in
Crowd-Sourced Data . . . . . . . . . . . 132--145
Adam B. Olshen and
Robert L. Strawderman and
Gregory Ryslik and
Karen Lostritto and
Alice M. Arnold and
Annette M. Molinaro Novel Aggregate
Deletion/Substitution/Addition Learning
Algorithms for Recursive Partitioning 146--156
Antony Unwin and
Pedro Valero-Mora Ensemble Graphics . . . . . . . . . . . 157--165
Simon Mak and
V. Roshan Joseph Minimax and Minimax Projection Designs
Using Clustering . . . . . . . . . . . . 166--178
Peter Goos and
Kalliopi Mylona Quadrature Methods for Bayesian Optimal
Design of Experiments With Nonnormal
Prior Distributions . . . . . . . . . . 179--194
Saeid Amiri and
Bertrand S. Clarke and
Jennifer L. Clarke Clustering Categorical Data via
Ensembling Dissimilarity Matrices . . . 195--208
Min Lu and
Saad Sadiq and
Daniel J. Feaster and
Hemant Ishwaran Estimating Individual Treatment Effect
in Observational Data Using Random
Forest Methods . . . . . . . . . . . . . 209--219
Thomas Rusch and
Kurt Hornik and
Patrick Mair Assessing and Quantifying Clusteredness:
The OPTICS Cordillera . . . . . . . . . 220--233
Janet S. Kim and
Ana-Maria Staicu and
Arnab Maity and
Raymond J. Carroll and
David Ruppert Additive Function-on-Function Regression 234--244
Jakub Stoklosa and
David I. Warton A Generalized Estimating Equation
Approach to Multivariate Adaptive
Regression Splines . . . . . . . . . . . 245--253
Dario Azzimonti and
David Ginsbourger Estimating Orthant Probabilities of
High-Dimensional Gaussian Vectors with
An Application to Set Estimation . . . . 255--267
Marc G. Genton and
David E. Keyes and
George Turkiyyah Hierarchical Decompositions for the
Computation of High-Dimensional
Multivariate Normal Probabilities . . . 268--277
Jean-Francois Coeurjolly and
Emilio Porcu Fast and Exact Simulation of
Complex-Valued Stationary Gaussian
Processes Through Embedding Circulant
Matrix . . . . . . . . . . . . . . . . . 278--290
John T. Kent and
Asaad M. Ganeiber and
Kanti V. Mardia A New Unified Approach for the
Simulation of a Wide Class of
Directional Distributions . . . . . . . 291--301
M. Mehdi Moradi and
Francisco J. Rodríguez-Cortés and
Jorge Mateu On Kernel-Based Intensity Estimation of
Spatial Point Patterns on Linear
Networks . . . . . . . . . . . . . . . . 302--311
Matthias Eckardt and
Jorge Mateu Point Patterns Occurring on Complex
Structures in Space and Space--Time: An
Alternative Network Approach . . . . . . 312--322
Adria Caballe Mestres and
Natalia Bochkina and
Claus Mayer Selection of the Regularization
Parameter in Graphical Models Using
Network Characteristics . . . . . . . . 323--333
Dominik Müller and
Claudia Czado Representing Sparse Gaussian DAGs as
Sparse $R$-Vines Allowing for
Non-Gaussian Dependence . . . . . . . . 334--344
Peter J. Rousseeuw and
Jakob Raymaekers and
Mia Hubert A Measure of Directional Outlyingness
With Applications to Image Data and
Video . . . . . . . . . . . . . . . . . 345--359
Julie McIntyre and
Ronald P. Barry A Lattice-Based Smoother for Regions
With Irregular Boundaries and Holes . . 360--367
Xin Yee Lam and
J. S. Marron and
Defeng Sun and
Kim-Chuan Toh Fast Algorithms for Large-Scale
Generalized Distance Weighted
Discrimination . . . . . . . . . . . . . 368--379
Moritz Berger and
Gerhard Tutz Tree-Structured Clustering in Fixed
Effects Models . . . . . . . . . . . . . 380--392
Binhuan Wang and
Yilong Zhang and
Will Wei Sun and
Yixin Fang Sparse Convex Clustering . . . . . . . . 393--403
Andrea Cerioli and
Luis Angel García-Escudero and
Agustín Mayo-Iscar and
Marco Riani Finding the Number of Normal Groups in
Model-Based Clustering via Constrained
Likelihoods . . . . . . . . . . . . . . 404--416
Xiaorong Yang and
Naveen Naidu Narisetty and
Xuming He A New Approach to Censored Quantile
Regression Estimation . . . . . . . . . 417--425
Jean Feng and
Noah Simon Gradient-based Regularization Parameter
Selection for Problems With Nonsmooth
Penalty Functions . . . . . . . . . . . 426--435
Andrew Hoegh and
Dipayan Maiti and
Scotland Leman Multiset Model Selection . . . . . . . . 436--448
Måns Magnusson and
Leif Jonsson and
Mattias Villani and
David Broman Sparse Partially Collapsed MCMC for
Parallel Inference in Topic Models . . . 449--463
Victor M.-H. Ong and
David J. Nott and
Michael S. Smith Gaussian Variational Approximation With
a Factor Covariance Structure . . . . . 465--478
Hyungsuk Tak and
Xiao-Li Meng and
David A. van Dyk A Repelling-Attracting Metropolis
Algorithm for Multimodality . . . . . . 479--490
Zhu Wang Quadratic Majorization for Nonconvex
Loss with Applications to the Boosting
Algorithm . . . . . . . . . . . . . . . 491--502
Yinghan Chen and
Yuguo Chen An Efficient Sampling Algorithm for
Network Motif Detection . . . . . . . . 503--515
Lampros Bouranis and
Nial Friel and
Florian Maire Bayesian Model Selection for Exponential
Random Graph Models via Adjusted
Pseudolikelihoods . . . . . . . . . . . 516--528
Li Ma and
Jacopo Soriano Analysis of Distributional Variation
Through Graphical Multi-Scale
Beta-Binomial Models . . . . . . . . . . 529--541
Amy Willis and
Rayna Bell Uncertainty in Phylogenetic Tree
Estimates . . . . . . . . . . . . . . . 542--552
Kris Sankaran and
Susan Holmes Interactive Visualization of
Hierarchically Structured Data . . . . . 553--563
Derek S. Young and
Chenlu Ke and
Xiaoxue Zeng The Mixturegram: A Visualization Tool
for Assessing the Number of Components
in Finite Mixture Models . . . . . . . . 564--575
Chul Moon and
Noah Giansiracusa and
Nicole A. Lazar Persistence Terrace for Topological
Inference of Point Cloud Data . . . . . 576--586
Andrew M. Raim and
Nagaraj K. Neerchal and
Jorge G. Morel An Extension of Generalized Linear
Models to Finite Mixture Outcome
Distributions . . . . . . . . . . . . . 587--601
Patrick Michaelis and
Nadja Klein and
Thomas Kneib Bayesian Multivariate Distributional
Regression With Skewed Responses and
Skewed Random Effects . . . . . . . . . 602--611
Nikolaus Umlauf and
Nadja Klein and
Achim Zeileis BAMLSS: Bayesian Additive Models for
Location, Scale, and Shape (and Beyond) 612--627
Joni Virta and
Bing Li and
Klaus Nordhausen and
Hannu Oja JADE for Tensor-Valued Observations . . 628--637
Eric F. Lock Tensor-on-Tensor Regression . . . . . . 638--647
Jean Morrison and
Noah Simon Rank Conditional Coverage and Confidence
Intervals in High-Dimensional Problems 648--656
Rajarshi Guhaniyogi and
Shaan Qamar and
David B. Dunson Bayesian Conditional Density Filtering 657--672
Nikos Sidiropoulos and
Sina Hadi Sohi and
Thomas Lin Pedersen and
Bo Torben Porse and
Ole Winther and
Nicolas Rapin and
Frederik Otzen Bagger SinaPlot: An Enhanced Chart for Simple
and Truthful Representation of Single
Observations Over Multiple Classes . . . 673--676
Danqing Xu and
Yuedong Wang Divide and Recombine Approaches for
Fitting Smoothing Spline Models with
Large Datasets . . . . . . . . . . . . . 677--683
Michel Philipp and
Thomas Rusch and
Kurt Hornik and
Carolin Strobl Measuring the Stability of Results From
Supervised Statistical Learning . . . . 685--700
Yawen Guan and
Murali Haran A Computationally Efficient
Projection-Based Approach for Spatial
Generalized Linear Mixed Models . . . . 701--714
Thibault Vatter and
Thomas Nagler Generalized Additive Models for
Pair-Copula Constructions . . . . . . . 715--727
Nicole M. Dalzell and
Jerome P. Reiter Regression Modeling and File Matching
Using Possibly Erroneous Matching
Variables . . . . . . . . . . . . . . . 728--738
Òystein Sòrensen and
Kristoffer Herland Hellton and
Arnoldo Frigessi and
Magne Thoresen Covariate Selection in High-Dimensional
Generalized Linear Models With
Measurement Error . . . . . . . . . . . 739--749
Thomas Ortner and
Peter Filzmoser and
Maia Rohm and
Christian Breiteneder and
Sarka Brodinova Guided Projections for Analyzing the
Structure of High-Dimensional Data . . . 750--762
Hui Xu and
Xiangdong Gu and
Mahlet G. Tadesse and
Raji Balasubramanian A Modified Random Survival Forests
Algorithm for High Dimensional
Predictors and Self-Reported Outcomes 763--772
Shannon Gallagher and
Lee F. Richardson and
Samuel L. Ventura and
William F. Eddy SPEW: Synthetic Populations and
Ecosystems of the World . . . . . . . . 773--784
Jia Li and
Fuqing Zhang Geometry-Sensitive Ensemble Mean Based
on Wasserstein Barycenters:
Proof-of-Concept on Cloud Simulations 785--797
Ru Zhang and
C. Devon Lin and
Pritam Ranjan Local Gaussian Process Model for
Large-Scale Dynamic Computer Experiments 798--807
Mickaël Binois and
Robert B. Gramacy and
Mike Ludkovski Practical Heteroscedastic Gaussian
Process Modeling for Large Simulation
Experiments . . . . . . . . . . . . . . 808--821
Gery Geenens and
Craig Wang Local-Likelihood Transformation Kernel
Density Estimation for Positive Random
Variables . . . . . . . . . . . . . . . 822--835
Kaniav Kamary and
Jeong Eun Lee and
Christian P. Robert Weakly Informative Reparameterizations
for Location-Scale Mixtures . . . . . . 836--848
Kevin Doubleday and
Hua Zhou and
Haoda Fu and
Jin Zhou An Algorithm for Generating
Individualized Treatment Decision Trees
and Random Forests . . . . . . . . . . . 849--860
Brian R. Gaines and
Juhyun Kim and
Hua Zhou Algorithms for Fitting the Constrained
Lasso . . . . . . . . . . . . . . . . . 861--871
Bingyi Jing and
Guangren Yang and
Xianshi Yu and
Cunhui Zhang Fused-MCP With Application to Signal
Processing . . . . . . . . . . . . . . . 872--886
Jonas Wallin and
David Bolin Efficient Adaptive MCMC Through
Precision Estimation . . . . . . . . . . 887--897
Per Sidén and
Finn Lindgren and
David Bolin and
Mattias Villani Efficient Covariance Approximations for
Large Sparse Precision Matrices . . . . 898--909
Rebecca L. Barter and
Bin Yu \pkgSuperheat: An R Package for Creating
Beautiful and Extendable Heatmaps for
Visualizing Complex Data . . . . . . . . 910--922
Wenlin Dai and
Marc G. Genton Multivariate Functional Data
Visualization and Outlier Detection . . 923--934
Emmanuel Paradis Multidimensional Scaling With Very Large
Datasets . . . . . . . . . . . . . . . . 935--939
Daniel W. Meyer (Un)Conditional Sample Generation Based
on Distribution Element Trees . . . . . 940--946
Anonymous Correction . . . . . . . . . . . . . . . 947--947
Anonymous Editorial Board EOV . . . . . . . . . . ebi--ebi
Tzu-Ying Liu and
Hui Jiang Minimizing Sum of Truncated Convex
Functions and Its Applications . . . . . 1--10
Aaron J. Molstad and
Adam J. Rothman A Penalized Likelihood Method for
Classification With Matrix-Valued
Predictors . . . . . . . . . . . . . . . 11--22
Sylvain Sardy and
Hatef Monajemi Efficient Threshold Selection for
Multivariate Total Variation Denoising 23--35
Eric C. Chi and
Liuyi Hu and
Arvind K. Saibaba and
Arvind U. K. Rao Going Off the Grid: Iterative Model
Selection for Biclustered Matrix
Completion . . . . . . . . . . . . . . . 36--47
Yiyuan She and
Shao Tang Iterative Proportional Scaling
Revisited: A Modern Optimization
Perspective . . . . . . . . . . . . . . 48--60
Weng Kee Wong and
Yue Yin and
Julie Zhou Optimal Designs for Multi-Response
Nonlinear Regression Models With Several
Factors via Semidefinite Programming . . 61--73
Ray-Bing Chen and
Chi-Hao Li and
Ying Hung and
Weichung Wang Optimal Noncollapsing Space-Filling
Designs for Irregular Experimental
Regions . . . . . . . . . . . . . . . . 74--91
David Harris and
Gael M. Martin and
Indeewara Perera and
D. S. Poskitt Construction and Visualization of
Confidence Sets for Frequentist
Distributional Forecasts . . . . . . . . 92--104
Mark R. Bass and
Sujit K. Sahu Dynamically Updated Spatially Varying
Parameterizations of Hierarchical
Bayesian Models for Spatial Data . . . . 105--116
Brian J. Reich and
Benjamin A. Shaby A Spatial Markov Model for Climate
Extremes . . . . . . . . . . . . . . . . 117--126
Samuel D. Oman and
Jorge Mateu The Latent Scale Covariogram: A Tool for
Exploring the Spatial Dependence
Structure of Nonnormal Responses . . . . 127--141
P. Richard Hahn and
Jingyu He and
Hedibert F. Lopes Efficient Sampling for Gaussian Linear
Regression With Arbitrary Priors . . . . 142--154
Ban Kheng Tan and
Anastasios Panagiotelis and
George Athanasopoulos Bayesian Inference for the One-Factor
Copula Model . . . . . . . . . . . . . . 155--173
Bala Rajaratnam and
Doug Sparks and
Kshitij Khare and
Liyuan Zhang Uncertainty Quantification for Modern
High-Dimensional Regression via Scalable
Bayesian Methods . . . . . . . . . . . . 174--184
Bailey K. Fosdick and
Tyler H. McCormick and
Thomas Brendan Murphy and
Tin Lok James Ng and
Ted Westling Multiresolution Network Models . . . . . 185--196
Carmen Armero and
Stefano Cabras and
María Eugenia Castellanos and
Alicia Quirós Two-Stage Bayesian Approach for GWAS
With Known Genealogy . . . . . . . . . . 197--204
Alexander Buchholz and
Nicolas Chopin Improving Approximate Bayesian
Computation via Quasi-Monte Carlo . . . 205--219
Julien Stoehr and
Alan Benson and
Nial Friel Noisy Hamiltonian Monte Carlo for Doubly
Intractable Distributions . . . . . . . 220--232
Anonymous Correction . . . . . . . . . . . . . . . i--i
Sanvesh Srivastava and
Glen DePalma and
Chuanhai Liu An Asynchronous Distributed Expectation
Maximization Algorithm for Massive Data:
The DEM Algorithm . . . . . . . . . . . 233--243
Anne van Delft and
Michael Eichler Data-Adaptive Estimation of Time-Varying
Spectral Densities . . . . . . . . . . . 244--255
Benjamin S. Baumer A Grammar for Reproducible and Painless
Extract-Transform-Load Operations on
Medium Data . . . . . . . . . . . . . . 256--264
Paul Fearnhead and
Robert Maidstone and
Adam Letchford Detecting Changes in Slope With an $ L_0
$ Penalty . . . . . . . . . . . . . . . 265--275
Jinyoung Yang and
Evgeny Levi and
Radu V. Craiu and
Jeffrey S. Rosenthal Adaptive Component-Wise Multiple-Try
Metropolis Sampling . . . . . . . . . . 276--289
Tobias Siems and
Marc Hellmuth and
Volkmar Liebscher Simultaneous Credible Regions for
Multiple Changepoint Locations . . . . . 290--298
Carson Sievert and
Susan VanderPlas and
Jun Cai and
Kevin Ferris and
Faizan Uddin Fahad Khan and
Toby Dylan Hocking Extending \pkgggplot2 for Linked and
Animated Web Graphics . . . . . . . . . 299--308
Ruiyan Luo and
Xin Qi Interaction Model and Model Selection
for Function-on-Function Regression . . 309--322
Juhee Cho and
Donggyu Kim and
Karl Rohe Intelligent Initialization and Adaptive
Thresholding for Iterative Matrix
Completion: Some Statistical and
Algorithmic Theory for \em
Adaptive--Impute . . . . . . . . . . . . 323--333
Yu-Bo Wang and
Ming-Hui Chen and
Lynn Kuo and
Paul O. Lewis Partition Weighted Approach For
Estimating the Marginal Posterior
Density With Applications . . . . . . . 334--349
Hua Zhou and
Liuyi Hu and
Jin Zhou and
Kenneth Lange MM Algorithms for Variance Components
Models . . . . . . . . . . . . . . . . . 350--361
Yun Zhang and
Kehui Chen and
Allan Sampson and
Kai Hwang and
Beatriz Luna Node Features Adjusted Stochastic Block
Model . . . . . . . . . . . . . . . . . 362--373
Lara Fontanella and
Luigi Ippoliti and
Alfred Kume The Offset Normal Shape Distribution for
Dynamic Shape Analysis . . . . . . . . . 374--385
Li-Shan Huang and
Chung-Hsin Yu Classical Backfitting for
Smooth-Backfitting Additive Models . . . 386--400
Andrew O. Finley and
Abhirup Datta and
Bruce D. Cook and
Douglas C. Morton and
Hans E. Andersen and
Sudipto Banerjee Efficient Algorithms for Bayesian
Nearest Neighbor Gaussian Processes . . 401--414
Hyungsuk Tak and
Justin A. Ellis and
Sujit K. Ghosh Robust and Accurate Inference via a
Mixture of Gaussian and Student's $t$
Errors . . . . . . . . . . . . . . . . . 415--426
Joris Chau and
Hernando Ombao and
Rainer von Sachs Intrinsic Data Depth for Hermitian
Positive Definite Matrices . . . . . . . 427--439
Andrés F. Barrientos and
Jerome P. Reiter and
Ashwin Machanavajjhala and
Yan Chen Differentially Private Significance
Tests for Regression Coefficients . . . 440--453
Jaeoh Kim and
HyungJun Cho and
Sungwan Bang Unified Noncrossing Multiple Quantile
Regressions Tree . . . . . . . . . . . . 454--465
Youyi Fong Fast Bootstrap Confidence Intervals for
Continuous Threshold Linear Regression 466--470
Ziwen An and
Leah F. South and
David J. Nott and
Christopher C. Drovandi Accelerating Bayesian Synthetic
Likelihood With the Graphical Lasso . . 471--475
Jeffrey W. Miller Fast and Accurate Approximation of the
Full Conditional for Gamma Shape
Parameters . . . . . . . . . . . . . . . 476--480
Rafael Izbicki and
Ann B. Lee and
Taylor Pospisil ABC-CDE: Toward Approximate Bayesian
Computation With Complex
High-Dimensional Data and Limited
Simulations . . . . . . . . . . . . . . 481--492
Tore Selland Kleppe Dynamically Rescaled Hamiltonian Monte
Carlo for Bayesian Hierarchical Models 493--507
Gael M. Martin and
Brendan P. M. McCabe and
David T. Frazier and
Worapree Maneesoonthorn and
Christian P. Robert Auxiliary Likelihood-Based Approximate
Bayesian Computation in State Space
Models . . . . . . . . . . . . . . . . . 508--522
Rubén Loaiza-Maya and
Michael Stanley Smith Variational Bayes Estimation of
Discrete-Margined Copula Models With
Application to Time Series . . . . . . . 523--539
Saeid Amiri and
Bertrand S. Clarke and
Jennifer L. Clarke and
Hoyt Koepke A General Hybrid Clustering Technique 540--551
François Husson and
Julie Josse and
Balasubramanian Narasimhan and
Genevi\`eve Robin Imputation of Mixed Data With Multilevel
Singular Value Decomposition . . . . . . 552--566
Zhe Chen and
Hani Doss Inference for the Number of Topics in
the Latent Dirichlet Allocation Model
via Bayesian Mixture Modeling . . . . . 567--585
Xin Wang and
Hao Helen Zhang and
Yichao Wu Multiclass Probability Estimation With
Support Vector Machines . . . . . . . . 586--595
Nicolas Langrené and
Xavier Warin Fast and Stable Multivariate Kernel
Density Estimation by Fast Sum Updating 596--608
Sandipan Roy and
Yves Atchadé and
George Michailidis Likelihood Inference for Large Scale
Stochastic Blockmodels With Covariates
Based on a Divide-and-Conquer
Parallelizable Algorithm With
Communication . . . . . . . . . . . . . 609--619
Susan VanderPlas and
Goluch C. Ryan and
Heike Hofmann Framed! Reproducing and Revisiting
150-Year-Old Charts . . . . . . . . . . 620--634
Antony Unwin Multivariate Outliers and the O3 Plot 635--643
Gabriel Becker and
Sara E. Moore and
Michael Lawrence \pkgtrackr: A Framework for Enhancing
Discoverability and Reproducibility of
Data Visualizations and Other Artifacts
in R . . . . . . . . . . . . . . . . . . 644--658
Carolina Euán and
Ying Sun Directional Spectra-Based Clustering for
Visualizing Patterns of Ocean Waves and
Winds . . . . . . . . . . . . . . . . . 659--670
Christophe A. N. Biscio and
Jesper Mòller The Accumulated Persistence Function, a
New Useful Functional Summary Statistic
for Topological Data Analysis, With a
View to Brain Artery Trees and Spatial
Point Process Applications . . . . . . . 671--681
Xiaohui Liu and
Karl Mosler and
Pavlo Mozharovskyi Fast Computation of Tukey Trimmed
Regions and Median in Dimension $ p > 2 $ 682--697
Bikram Karmakar and
Dylan S. Small and
Paul R. Rosenbaum Using Approximation Algorithms to Build
Evidence Factors and Related Designs for
Observational Studies . . . . . . . . . 698--709
Sungkyu Jung and
Jeongyoun Ahn and
Yongho Jeon Penalized Orthogonal Iteration for
Sparse Estimation of Generalized
Eigenvalue Problem . . . . . . . . . . . 710--721
Juan C. Laria and
M. Carmen Aguilera-Morillo and
Rosa E. Lillo An Iterative Sparse-Group Lasso . . . . 722--731
T. Rodrigues and
J.-L. Dortet-Bernadet and
Y. Fan Pyramid Quantile Regression . . . . . . 732--746
Yunfan Li and
Bruce A. Craig and
Anindya Bhadra The Graphical Horseshoe Estimator for
Inverse Covariance Matrices . . . . . . 747--757
Bradley S. Price and
Charles J. Geyer and
Adam J. Rothman Automatic Response Category Combination
in Multinomial Logistic Regression . . . 758--766
Anonymous Correction . . . . . . . . . . . . . . . i--i
Anonymous Correction . . . . . . . . . . . . . . . ii--ii
Zehang Richard Li and
Tyler H. McCormick An Expectation Conditional Maximization
Approach for Gaussian Graphical Models 767--777
T. Westling and
T. H. McCormick Beyond Prediction: A Framework for
Inference With Variational
Approximations in Mixture Models . . . . 778--789
Florian Maire and
Nial Friel and
Antonietta Mira and
Adrian E. Raftery Adaptive Incremental Mixture Markov
Chain Monte Carlo . . . . . . . . . . . 790--805
Biljana Jonoska Stojkova and
David A. Campbell Incremental Mixture Importance Sampling
With Shotgun Optimization . . . . . . . 806--820
Seyoon Ko and
Donghyeon Yu and
Joong-Ho Won Easily Parallelizable and Distributable
Class of Algorithms for Structured
Sparsity, with Optimal Acceleration . . 821--833
Nicholas C. Henderson and
Ravi Varadhan Damped Anderson Acceleration With
Restarts and Monotonicity Control for
Accelerating EM and EM-like Algorithms 834--846
Luca Scrucca and
Alessio Serafini Projection Pursuit Based on Gaussian
Mixtures and Evolutionary Algorithms . . 847--860
Ehsan Masoudi and
Heinz Holling and
Belmiro P. M. Duarte and
Weng Kee Wong A Metaheuristic Adaptive Cubature Based
Algorithm to Find Bayesian Optimal
Designs for Nonlinear Models . . . . . . 861--876
Bala Rajaratnam and
Steven Roberts and
Doug Sparks and
Honglin Yu Influence Diagnostics for
High-Dimensional Lasso Regression . . . 877--890
Ganggang Xu and
Zuofeng Shang and
Guang Cheng Distributed Generalized Cross-Validation
for Divide-and-Conquer Kernel Ridge
Regression and Its Asymptotic Optimality 891--908
Jocelyn Chauvet and
Catherine Trottier and
Xavier Bry Component-Based Regularization of
Multivariate Generalized Linear Mixed
Models . . . . . . . . . . . . . . . . . 909--920
Sameer K. Deshpande and
Veronika Rocková and
Edward I. George Simultaneous Variable and Covariance
Selection With the Multivariate
Spike-and-Slab LASSO . . . . . . . . . . 921--931
Wessel N. van Wieringen The Generalized Ridge Estimator of the
Inverse Covariance Matrix . . . . . . . 932--942
Pengcheng Zeng and
Jian Qing Shi and
Won-Seok Kim Simultaneous Registration and Clustering
for Multidimensional Functional Data . . 943--953
Jiacheng Wu and
Daniela Witten Flexible and Interpretable Models for
Survival Data . . . . . . . . . . . . . 954--966
Abhirup Mallik and
Zack W. Almquist Stable Multiple Time Step
Simulation/Prediction From Lagged
Dynamic Network Regression Models . . . 967--979
David P. Hofmeyr Improving Spectral Clustering Using the
Asymptotic Value of the Normalized Cut 980--992
Jordan T. Johns and
Ciprian Crainiceanu and
Vadim Zipunnikov and
Jonathan Gellar Variable-Domain Functional Principal
Component Analysis . . . . . . . . . . . 993--1006
Thomas Lumley Fast Generalized Linear Models by
Database Sampling and One-Step Polishing 1007--1010
Heman Robinson Good Plot Symbols by Default . . . . . . 1011--1016
Anonymous Correction . . . . . . . . . . . . . . . 1017--1017
Tianjian Zhou and
Michael J. Daniels and
Peter Müller A Semiparametric Bayesian Approach to
Dropout in Longitudinal Studies With
Auxiliary Covariates . . . . . . . . . . 1--12
Priyanga Dilini Talagala and
Rob J. Hyndman and
Kate Smith-Miles and
Sevvandi Kandanaarachchi and
Mario A. Muñoz Anomaly Detection in Streaming
Nonstationary Temporal Data . . . . . . 13--27
Konstantinos Perrakis and
Sach Mukherjee and
The Alzheimer's Disease Neuroimaging Initiative Scalable Bayesian Regression in High
Dimensions With Multiple Data Sources 28--39
Mingxuan Cai and
Mingwei Dai and
Jingsi Ming and
Heng Peng and
Jin Liu and
Can Yang BIVAS: A Scalable Bayesian Method for
Bi-Level Variable Selection With
Applications . . . . . . . . . . . . . . 40--52
Yang Ni and
Peter Müller and
Maurice Diesendruck and
Sinead Williamson and
Yitan Zhu and
Yuan Ji Scalable Bayesian Nonparametric
Clustering and Classification . . . . . 53--65
Jaewoo Park and
Murali Haran A Function Emulation Approach for Doubly
Intractable Distributions . . . . . . . 66--77
Matteo Fasiolo and
Raphaël Nedellec and
Yannig Goude and
Simon N. Wood Scalable Visualization Methods for
Modern Generalized Additive Models . . . 78--86
Michael Weylandt and
John Nagorski and
Genevera I. Allen Dynamic Visualization and Fast
Computation for Convex Clustering via
Algorithmic Regularization . . . . . . . 87--96
M.-N. Tran and
N. Nguyen and
D. Nott and
R. Kohn Bayesian Deep Net GLM and GLMM . . . . . 97--113
Sarah E. Romanes and
John T. Ormerod and
Jean Y. H. Yang Diagonal Discriminant Analysis With
Feature Selection for High-Dimensional
Data . . . . . . . . . . . . . . . . . . 114--127
Maryclare Griffin and
Peter D. Hoff Testing Sparsity-Inducing Penalties . . 128--139
Eyal Fisher and
Regev Schweiger and
Saharon Rosset Efficient Construction of Test Inversion
Confidence Intervals Using Quantile
Regression . . . . . . . . . . . . . . . 140--148
S. O. Tickle and
I. A. Eckley and
P. Fearnhead and
K. Haynes Parallelization of a Common Changepoint
Detection Method . . . . . . . . . . . . 149--161
Wei Fu and
Patrick O. Perry Estimating the Number of Clusters Using
Cross-Validation . . . . . . . . . . . . 162--173
Sabrina Vettori and
Raphaël Huser and
Johan Segers and
Marc G. Genton Bayesian Model Averaging Over Tree-based
Dependence Structures for Multivariate
Extremes . . . . . . . . . . . . . . . . 174--190
Jilei Yang and
Jie Peng Estimating Time-Varying Graphical Models 191--202
Rafael A. Moral and
John Hinde and
Clarice G. B. Demétrio Bivariate Residual Plots With Simulation
Polygons . . . . . . . . . . . . . . . . 203--214
Robert Tibshirani and
Jerome Friedman A Pliable Lasso . . . . . . . . . . . . 215--225
Christopher J. Geoga and
Mihai Anitescu and
Michael L. Stein Scalable Gaussian Process Computations
Using Hierarchical Matrices . . . . . . 227--237
Panayiota Touloupou and
Bärbel Finkenstädt and
Simon E. F. Spencer Scalable Bayesian Inference for Coupled
Hidden Markov and Semi-Markov Models . . 238--249
Mengyang Gu and
Yanxun Xu Fast Nonseparable Gaussian Stochastic
Process With Application to Methylation
Level Interpolation . . . . . . . . . . 250--260
Youngseok Kim and
Peter Carbonetto and
Matthew Stephens and
Mihai Anitescu A Fast Algorithm for Maximum Likelihood
Estimation of Mixture Proportions Using
Sequential Quadratic Programming . . . . 261--273
David Bolin and
Kristin Kirchner The Rational SPDE Approach for Gaussian
Random Fields With General Smoothness 274--285
Andee Kaplan and
Mark S. Kaiser and
Soumendra N. Lahiri and
Daniel J. Nordman Simulating Markov Random Fields With a
Conclique-Based Gibbs Sampler . . . . . 286--296
Tso-Jung Yen Solving Fused Penalty Estimation
Problems via Block Splitting Algorithms 297--308
Darren Homrighausen and
Daniel J. McDonald Compressed and Penalized Linear
Regression . . . . . . . . . . . . . . . 309--322
Shuxiao Chen and
Jacob Bien Valid Inference Corrected for Outlier
Removal . . . . . . . . . . . . . . . . 323--334
Christopher Kinson and
Xiwei Tang and
Zhen Zuo and
Annie Qu Longitudinal Principal Component
Analysis With an Application to
Marketing Data . . . . . . . . . . . . . 335--350
Danli Xu and
Yong Wang Area-Proportional Visualization for
Circular Data . . . . . . . . . . . . . 351--357
Sara Algeri and
David A. van Dyk Testing One Hypothesis Multiple Times:
The Multidimensional Case . . . . . . . 358--371
Yicheng Kang Consistent Blind Image Deblurring Using
Jump-Preserving Extrapolation . . . . . 372--382
Yi Liu and
Feng Guo A Bayesian Time-Varying Coefficient
Model for Multitype Recurrent Events . . 383--395
Yu Wang and
Xuan Bi and
Annie Qu A Logistic Factorization Model for
Recommender Systems With Multinomial
Responses . . . . . . . . . . . . . . . 396--404
M. T. Pratola and
H. A. Chipman and
E. I. George and
R. E. McCulloch Heteroscedastic BART via Multiplicative
Regression Trees . . . . . . . . . . . . 405--417
Frank W. Marrs and
Benjamin W. Campbell and
Bailey K. Fosdick and
Skyler J. Cranmer and
Tobias Böhmelt Inferring Influence Networks from
Longitudinal Bipartite Relational Data 419--431
M. Mehdi Moradi and
Jorge Mateu First- and Second-Order Characteristics
of Spatio-Temporal Point Processes on
Linear Networks . . . . . . . . . . . . 432--443
Tao Wang Graph-Assisted Inverse Regression for
Count Data and Its Application to
Sequencing Data . . . . . . . . . . . . 444--454
P.-A. G. Maugis and
S. C. Olhede and
C. E. Priebe and
P. J. Wolfe Testing for Equivalence of Network
Distribution Using Subgraph Counts . . . 455--465
Earo Wang and
Dianne Cook and
Rob J. Hyndman A New Tidy Data Structure to Support
Exploration and Modeling of Temporal
Data . . . . . . . . . . . . . . . . . . 466--478
Pulong Ma and
Emily L. Kang A Fused Gaussian Process Model for Very
Large Spatial Data . . . . . . . . . . . 479--489
Earo Wang and
Dianne Cook and
Rob J. Hyndman Calendar-Based Graphics for Visualizing
People's Daily Schedules . . . . . . . . 490--502
Robinson Dettoni and
Giampiero Marra and
Rosalba Radice Generalized Link-Based Additive Survival
Models with Informative Censoring . . . 503--512
Subharup Guha and
Sujit K. Ghosh Probabilistic Detection and Estimation
of Conic Sections From Noisy Data . . . 513--522
Alexander Kreuzer and
Claudia Czado Efficient Bayesian Inference for
Nonlinear State Space Models With
Univariate Autoregressive State Equation 523--534
Haim Y. Bar and
James G. Booth and
Martin T. Wells A Scalable Empirical Bayes Approach to
Variable Selection in Generalized Linear
Models . . . . . . . . . . . . . . . . . 535--546
Tom Chen and
Eric J. Tchetgen Tchetgen and
Rui Wang A Stochastic Second-Order Generalized
Estimating Equations Approach for
Estimating Association Parameters . . . 547--561
Liang Shan and
Zhilei Qiao and
Lulu Cheng and
Inyoung Kim Joint Estimation of the Two-Level
Gaussian Graphical Models Across
Multiple Classes . . . . . . . . . . . . 562--579
Ran Yang and
Daniel W. Apley and
Jeremy Staum and
David Ruppert Density Deconvolution With Additive
Measurement Errors Using Quadratic
Programming . . . . . . . . . . . . . . 580--591
Zheng Tracy Ke and
Lingzhou Xue and
Fan Yang Diagonally Dominant Principal Component
Analysis . . . . . . . . . . . . . . . . 592--607
Bradley Efron and
Balasubramanian Narasimhan The Automatic Construction of Bootstrap
Confidence Intervals . . . . . . . . . . 608--619
Tianyu Guan and
Zhenhua Lin and
Jiguo Cao Estimating Truncated Functional Linear
Models With a Nested Group Bridge
Approach . . . . . . . . . . . . . . . . 620--628
Daniel R. Kowal and
Daniel C. Bourgeois Bayesian Function-on-Scalars Regression
for High-Dimensional Data . . . . . . . 629--638
Leonie Weinhold and
Matthias Schmid and
Richard Mitchell and
Kelly O. Maloney and
Marvin N. Wright and
Moritz Berger A Random Forest Approach for Bounded
Outcome Variables . . . . . . . . . . . 639--658
Hyungsuk Tak and
Kisung You and
Sujit K. Ghosh and
Bingyue Su and
Joseph Kelly Data transforming augmentation for
heteroscedastic models . . . . . . . . . 659--667
Geoffrey Z. Thompson and
Ranjan Maitra and
William Q. Meeker and
Ashraf F. Bastawros Classification With the
Matrix-Variate-$t$ Distribution . . . . 668--674
Fan Dai and
Somak Dutta and
Ranjan Maitra A Matrix-Free Likelihood Method for
Exploratory Factor Analysis of
High-Dimensional Gaussian Data . . . . . 675--680
Ursula Laa and
Dianne Cook and
German Valencia A Slice Tour for Finding Hollowness in
High-Dimensional Data . . . . . . . . . 681--687
Anonymous Correction: Generalized Link-Based
Additive Survival Models with
Informative Censoring . . . . . . . . . ??
Manon Michel and
Alain Durmus and
Stéphane Sénécal Forward Event-Chain Monte Carlo: Fast
Sampling by Randomness Control in
Irreversible Markov Chains . . . . . . . 689--702
Yang Ni and
Yuan Ji and
Peter Müller Consensus Monte Carlo for Random Subsets
Using Shared Anchors . . . . . . . . . . 703--714
Benjamin Fifield and
Michael Higgins and
Kosuke Imai and
Alexander Tarr Automated Redistricting Simulation Using
Markov Chain Monte Carlo . . . . . . . . 715--728
Michael Stanley Smith and
Rubén Loaiza-Maya and
David J. Nott High-Dimensional Copula Variational
Approximation Through Transformation . . 729--743
Magdalena Bennett and
Juan Pablo Vielma and
José R. Zubizarreta Building Representative Matched Samples
With Multi-Valued Treatments in Large
Observational Studies . . . . . . . . . 744--757
Mojgan Golzy and
Marianthi Markatou Poisson Kernel-Based Clustering on the
Sphere: Convergence Properties,
Identifiability, and a Method of
Sampling . . . . . . . . . . . . . . . . 758--770
Marco Corneli and
Charles Bouveyron and
Pierre Latouche Co-Clustering of Ordinal Data via Latent
Continuous Random Variables and Not
Missing at Random Entries . . . . . . . 771--785
Evan Baker and
Peter Challenor and
Matt Eames Predicting the Output From a Stochastic
Computer Model When a Deterministic
Approximation is Available . . . . . . . 786--797
Per Johansson and
Mårten Schultzberg Rerandomization Strategies for Balancing
Covariates Using Pre-Experimental
Longitudinal Data . . . . . . . . . . . 798--813
Dominik Liebl and
Stefan Rameseder and
Christoph Rust Improving Estimation in Functional
Linear Regression With Points of Impact:
Insights Into Google AdWords . . . . . . 814--826
Suneel Babu Chatla and
Galit Shmueli A Tree-Based Semi-Varying Coefficient
Model for the COM-Poisson Distribution 827--846
James A. Scott and
Axel Gandy State-Dependent Kernel Selection for
Conditional Sampling of Graphs . . . . . 847--858
Jodie Buckby and
Ting Wang and
Jiancang Zhuang and
Kazushige Obara Model Checking for Hidden Markov Models 859--874
Wei Xia and
Hani Doss Scalable Hyperparameter Selection for
Latent Dirichlet Allocation . . . . . . 875--895
Georgios Papageorgiou and
Benjamin C. Marshall Bayesian Semiparametric Analysis of
Multivariate Continuous Responses, With
Variable Selection . . . . . . . . . . . 896--909
Linda S. L. Tan and
Nial Friel Bayesian Variational Inference for
Exponential Random Graph Models . . . . 910--928
Gregory J. Hunt and
Mark A. Dane and
James E. Korkola and
Laura M. Heiser and
Johann A. Gagnon-Bartsch Automatic Transformation and Integration
to Improve Visualization and Discovery
of Latent Effects in Imaging Data . . . 929--941
Myungjin Kim and
Li Wang Generalized Spatially Varying
Coefficient Models . . . . . . . . . . . 1--10
Andrew J. Holbrook and
Philippe Lemey and
Guy Baele and
Simon Dellicour and
Dirk Brockmann and
Andrew Rambaut and
Marc A. Suchard Massive Parallelization Boosts Big
Bayesian Multidimensional Scaling . . . 11--24
Boqian Zhang and
Vinayak Rao Efficient Parameter Sampling for Markov
Jump Processes . . . . . . . . . . . . . 25--42
Jingxiang Chen and
Quoc Tran-Dinh and
Michael R. Kosorok and
Yufeng Liu Identifying Heterogeneous Effect Using
Latent Supervised Clustering With
Adaptive Fusion . . . . . . . . . . . . 43--54
Richard G. Everitt and
Paulina A. Rowi\'nska Delayed Acceptance ABC-SMC . . . . . . . 55--66
Chao Cheng and
Rui Wang and
Heping Zhang Surrogate Residuals for Discrete Choice
Models . . . . . . . . . . . . . . . . . 67--77
Stanislav Nagy and
Jirí Dvorák Illumination Depth . . . . . . . . . . . 78--90
Christian Rohrbeck and
Jonathan A. Tawn Bayesian Spatial Clustering of Extremal
Behavior for Hydrological Variables . . 91--105
Tao Zhang and
Yang Ning and
David Ruppert Optimal Sampling for Generalized Linear
Models Under Measurement Constraints . . 106--114
Yuan Feng and
Luo Xiao and
Eric C. Chi Sparse Single Index Models for
Multivariate Responses . . . . . . . . . 115--124
Chen Lin and
Kevin Wang and
Samuel Mueller MCVIS: A New Framework for Collinearity
Discovery, Diagnostic, and Visualization 125--132
Marcio Valk and
Gabriela Bettella Cybis $U$-Statistical Inference for
Hierarchical Clustering . . . . . . . . 133--143
Spencer Woody and
Carlos M. Carvalho and
Jared S. Murray Model Interpretation Through
Lower-Dimensional Posterior
Summarization . . . . . . . . . . . . . 144--161
Minh Pham and
Anh Ninh and
Hoang Le and
Yufeng Liu An Efficient Algorithm for Minimizing
Multi Non-Smooth Component Functions . . 162--170
Zeda Li and
Yuexiao Dong Model-Free Variable Selection With
Matrix-Valued Predictors . . . . . . . . 171--181
Nathaniel E. Helwig Spectrally Sparse Nonparametric
Regression via Elastic Net Regularized
Smoothers . . . . . . . . . . . . . . . 182--191
Jeongyoun Ahn and
Hee Cheol Chung and
Yongho Jeon Trace Ratio Optimization for
High-Dimensional Multi-Class
Discrimination . . . . . . . . . . . . . 192--203
Sevvandi Kandanaarachchi and
Rob J. Hyndman Dimension Reduction for Outlier
Detection Using DOBIN . . . . . . . . . 204--219
Ruiyan Luo and
Xin Qi Functional Regression for Densely
Observed Data With Novel Regularization 220--235
George Karabatsos Fast Search and Estimation of Bayesian
Nonparametric Mixture Models Using a
Classification Annealing EM Algorithm 236--247
Anonymous \em JCGS Editorial Collaborators . . . . ??
Lewis J. Rendell and
Adam M. Johansen and
Anthony Lee and
Nick Whiteley Global Consensus Monte Carlo . . . . . . 249--259
Ingmar Schuster and
Ilja Klebanov Markov Chain Importance Sampling --- a
Highly Efficient Estimator for MCMC . . 260--268
Jaewoo Park and
Murali Haran Reduced-Dimensional Monte Carlo Maximum
Likelihood for Latent Gaussian Random
Field Models . . . . . . . . . . . . . . 269--283
Jianchang Hu and
Yazhen Wang Quantum Annealing via Path-Integral
Monte Carlo With Data Augmentation . . . 284--296
Qi Wang and
Vinayak Rao and
Yee Whye Teh An Exact Auxiliary Variable Gibbs
Sampler for a Class of Diffusions . . . 297--311
Philippe Gagnon and
Arnaud Doucet Nonreversible Jump Algorithms for
Bayesian Nested Model Selection . . . . 312--323
Nathan Robertson and
James M. Flegal and
Dootika Vats and
Galin L. Jones Assessing and Visualizing Simultaneous
Simulation Error . . . . . . . . . . . . 324--334
Maxime Vono and
Nicolas Dobigeon and
Pierre Chainais Asymptotically Exact Data Augmentation:
Models, Properties, and Algorithms . . . 335--348
Amanda Lenzi and
Stefano Castruccio and
Håvard Rue and
Marc G. Genton Improving Bayesian Local Spatial Models
in Large Datasets . . . . . . . . . . . 349--359
Priyanga Dilini Talagala and
Rob J. Hyndman and
Kate Smith-Miles Anomaly Detection in High-Dimensional
Data . . . . . . . . . . . . . . . . . . 360--374
Mitchell Krock and
William Kleiber and
Stephen Becker Nonstationary Modeling With Sparsity for
Spatial Data via the Basis Graphical
Lasso . . . . . . . . . . . . . . . . . 375--389
Daniel K. Sewell Model-Based Edge Clustering . . . . . . 390--405
Neil G. Marchant and
Andee Kaplan and
Daniel N. Elazar and
Benjamin I. P. Rubinstein and
Rebecca C. Steorts \pkgd-blink: Distributed End-to-End
Bayesian Entity Resolution . . . . . . . 406--421
Congyuan Yang and
Carey E. Priebe and
Youngser Park and
David J. Marchette Simultaneous Dimensionality and
Complexity Model Selection for Spectral
Graph Clustering . . . . . . . . . . . . 422--441
Mengxi Yi and
David E. Tyler Shrinking the Covariance Matrix Using
Convex Penalties on the Matrix-Log
Transformation . . . . . . . . . . . . . 442--451
Jean-François Bégin and
Mathieu Boudreault Likelihood Evaluation of Jump-Diffusion
Models Using Deterministic Nonlinear
Filters . . . . . . . . . . . . . . . . 452--466
Nadja Klein and
David J. Nott and
Michael Stanley Smith Marginally Calibrated Deep
Distributional Regression . . . . . . . 467--483
Yao Chen and
Qingyi Gao and
Faming Liang and
Xiao Wang Nonlinear Variable Selection via Deep
Neural Networks . . . . . . . . . . . . 484--492
Indrayudh Ghosal and
Giles Hooker Boosting Random Forests to Reduce Bias;
One-Step Boosted Forest and Its Variance
Estimate . . . . . . . . . . . . . . . . 493--502
Rina Friedberg and
Julie Tibshirani and
Susan Athey and
Stefan Wager Local Linear Forests . . . . . . . . . . 503--517
Youyi Fong and
Jun Xu Forward Stepwise Deep Autoencoder-Based
Monotone Nonlinear Dimensionality
Reduction Methods . . . . . . . . . . . 519--529
Pascaline Descloux and
Sylvain Sardy Model Selection With Lasso-Zero: Adding
Straw to the Haystack to Better Find
Needles . . . . . . . . . . . . . . . . 530--543
Peng Zheng and
Ryan Barber and
Reed J. D. Sorensen and
Christopher J. L. Murray and
Aleksandr Y. Aravkin Trimmed Constrained Mixed Effects
Models: Formulations and Algorithms . . 544--556
Ye Fan and
Nan Lin and
Xianjun Yin Penalized Quantile Regression for
Distributed Big Data Using the Slack
Variable Representation . . . . . . . . 557--565
Ana Kenney and
Francesca Chiaromonte and
Giovanni Felici \pkgMIP-BOOST: Efficient and Effective $
L_0 $ Feature Selection for Linear
Regression . . . . . . . . . . . . . . . 566--577
Angelos Alexopoulos and
Leonardo Bottolo Bayesian Variable Selection for Gaussian
Copula Regression Models . . . . . . . . 578--593
Sanvesh Srivastava and
Yixiang Xu Distributed Bayesian Inference in Linear
Mixed-Effects Models . . . . . . . . . . 594--611
Aaron J. Molstad and
Guangwei Weng and
Charles R. Doss and
Adam J. Rothman An Explicit Mean-Covariance
Parameterization for Multivariate
Response Linear Regression . . . . . . . 612--621
Michael Jauch and
Peter D. Hoff and
David B. Dunson Monte Carlo Simulation on the Stiefel
Manifold via Polar Expansion . . . . . . 622--631
Rui Jin and
Aixin Tan Fast Markov Chain Monte Carlo for
High-Dimensional Bayesian Regression
Models With Shrinkage Priors . . . . . . 632--646
Marius Hofert and
Avinash Prasad and
Mu Zhu Quasi-Random Sampling for Multivariate
Distributions via Generative Neural
Networks . . . . . . . . . . . . . . . . 647--670
Tomasz C\kaka\la and
B\lazej Miasojedow and
Wojciech Niemiro Particle MCMC With Poisson Resampling:
Parallelization and Continuous Time
Models . . . . . . . . . . . . . . . . . 671--684
Eric S. Kawaguchi and
Jenny I. Shen and
Marc A. Suchard and
Gang Li Scalable Algorithms for Large Competing
Risks Data . . . . . . . . . . . . . . . 685--693
Cheng Meng and
Rui Xie and
Abhyuday Mandal and
Xinlian Zhang and
Wenxuan Zhong and
Ping Ma LowCon: a Design-based Subsampling
Approach in a Misspecified Linear Model 694--708
Alessandra Menafoglio and
Davide Pigoli and
Piercesare Secchi Kriging Riemannian Data via Random
Domain Decompositions . . . . . . . . . 709--727
You-Lin Chen and
Mladen Kolar and
Ruey S. Tsay Tensor Canonical Correlation Analysis
With Convergence and Statistical
Guarantees . . . . . . . . . . . . . . . 728--744
Clément Chevalier and
Olivia Martius and
David Ginsbourger Modeling Nonstationary Extreme
Dependence With Stationary Max-Stable
Processes and Multidimensional Scaling 745--755
Dorcas Ofori-Boateng and
Yulia R. Gel and
Ivor Cribben Nonparametric Anomaly Detection on Time
Series of Graphs . . . . . . . . . . . . 756--767
Malte Londschien and
Solt Kovács and
Peter Bühlmann Change-Point Detection for Graphical
Models in the Presence of Missing Values 768--779
Erjia Cui and
Ciprian M. Crainiceanu and
Andrew Leroux Additive Functional Cox Model . . . . . 780--793
Zeda Li and
Ori Rosen and
Fabio Ferrarelli and
Robert T. Krafty Adaptive Bayesian Spectral Analysis of
High-Dimensional Nonstationary Time
Series . . . . . . . . . . . . . . . . . 794--807
Zifeng Zhao and
Chun Yip Yau Alternating Pruned Dynamic Programming
for Multiple Epidemic Change-Point
Estimation . . . . . . . . . . . . . . . 808--821
Bradley S. Price and
Aaron J. Molstad and
Ben Sherwood Estimating Multiple Precision Matrices
With Cluster Fusion Regularization . . . 823--834
Mark A. van de Wiel and
Mirrelijn M. van Nee and
Armin Rauschenberger Fast Cross-validation for Multi-penalty
High-dimensional Ridge Regression . . . 835--847
Ting Yang and
Zhiqiang Tan Hierarchical Total Variations and Doubly
Penalized ANOVA Modeling for
Multivariate Nonparametric Regression 848--862
Nelson Antunes and
Shankar Bhamidi and
Tianjian Guo and
Vladas Pipiras and
Bang Wang Sampling Based Estimation of In-Degree
Distribution for Directed Complex
Networks . . . . . . . . . . . . . . . . 863--876
Matias Quiroz and
Minh-Ngoc Tran and
Mattias Villani and
Robert Kohn and
Khue-Dung Dang The Block-Poisson Estimator for
Optimally Tuned Exact Subsampling MCMC 877--888
Jonathan R. Bradley An Approach to Incorporate Subsampling
Into a Generic Bayesian Hierarchical
Model . . . . . . . . . . . . . . . . . 889--905
Kjartan Kloster Osmundsen and
Tore Selland Kleppe and
Roman Liesenfeld Importance Sampling-Based Transport Map
Hamiltonian Monte Carlo for Bayesian
Hierarchical Models . . . . . . . . . . 906--919
Haiying Wang and
Dixin Zhang and
Hua Liang and
David Ruppert Iterative Likelihood: a Unified
Inference Tool . . . . . . . . . . . . . 920--933
Randy C. S. Lai and
Jan Hannig and
Thomas C. M. Lee Method G: Uncertainty Quantification for
Distributed Data Problems Using
Generalized Fiducial Inference . . . . . 934--945
Bingxin Zhou and
Junbin Gao and
Minh-Ngoc Tran and
Richard Gerlach Manifold Optimization-Assisted Gaussian
Variational Approximation . . . . . . . 946--957
David T. Frazier and
Christopher Drovandi Robust Approximate Bayesian Inference
With Synthetic Likelihood . . . . . . . 958--976
Xuejun Yu and
David J. Nott and
Minh-Ngoc Tran and
Nadja Klein Assessment and Adjustment of Approximate
Inference Algorithms Using the Law of
Total Variance . . . . . . . . . . . . . 977--990
Martin Slawski and
Guoqing Diao and
Emanuel Ben-David A Pseudo-Likelihood Approach to Linear
Regression With Partially Shuffled Data 991--1003
Xuening Zhu and
Feng Li and
Hansheng Wang Least-Square Approximation for a
Distributed System . . . . . . . . . . . 1004--1018
Lu Yang Assessment of Regression Models With
Discrete Outcomes Using Quasi-Empirical
Residual Distribution Functions . . . . 1019--1035
Yanyan Zeng and
Hongyu Zhao and
Tao Wang Model-Based Microbiome Data Ordination:
a Variational Approximation Approach . . 1036--1048
T. Whitaker and
B. Beranger and
S. A. Sisson Logistic Regression Models for
Aggregated Data . . . . . . . . . . . . 1049--1067
Arkaprava Roy and
Brian J. Reich and
Joseph Guinness and
Russell T. Shinohara and
Ana-Maria Staicu Spatial Shrinkage Via the Product
Independent Gaussian Process Prior . . . 1068--1080
Hsin-Cheng Huang and
Noel Cressie and
Andrew Zammit-Mangion and
Guowen Huang False Discovery Rates to Detect Signals
from Incomplete Spatially Aggregated
Data . . . . . . . . . . . . . . . . . . 1081--1094
Marcin Jurek and
Matthias Katzfuss Multi-Resolution Filters for Massive
Spatio-Temporal Data . . . . . . . . . . 1095--1110
Jesús Arroyo and
Daniel L. Sussman and
Carey E. Priebe and
Vince Lyzinski Maximum Likelihood Estimation and Graph
Matching in Errorfully Observed Networks 1111--1123
Danielle Sass and
Bo Li and
Brian J. Reich Flexible and Fast Spatial Return Level
Estimation Via a Spatially Fused Penalty 1124--1142
Nan-Jung Hsu and
Hsin-Cheng Huang and
Ruey S. Tsay Matrix Autoregressive Spatio-Temporal
Models . . . . . . . . . . . . . . . . . 1143--1155
Thomas Rusch and
Patrick Mair and
Kurt Hornik Cluster Optimized Proximity Scaling . . 1156--1167
Natalia da Silva and
Dianne Cook and
Eun-Kyung Lee A Projection Pursuit Forest Algorithm
for Supervised Classification . . . . . 1168--1180
Torsten Hothorn and
Achim Zeileis Predictive Distribution Modeling Using
Transformation Forests . . . . . . . . . 1181--1196
Luis Nieto-Barajas and
Gabriel Núñez-Antonio Projected Pólya Tree . . . . . . . . . . 1197--1208
Jing Wu and
Ming-Hui Chen and
Elizabeth D. Schifano and
Jun Yan Online Updating of Survival Analysis . . 1209--1223
Nathan Wycoff and
Mickaël Binois and
Stefan M. Wild Sequential Learning of Active Subspaces 1224--1237
Sang Jun Moon and
Jong-June Jeon and
Jason Sang Hun Lee and
Yongdai Kim Learning Multiple Quantiles With Neural
Networks . . . . . . . . . . . . . . . . 1238--1248
Grace Yoon and
Christian L. Müller and
Irina Gaynanova Fast Computation of Latent Correlations 1249--1256
Catherine B. Hurley and
Mark O'Connell and
Katarina Domijan Interactive Slice Visualization for
Exploring Machine Learning Models . . . 1--13
Sayani Gupta and
Rob J. Hyndman and
Dianne Cook and
Antony Unwin Visualizing Probability Distributions
Across Bivariate Cyclic Temporal
Granularities . . . . . . . . . . . . . 14--25
Jordan Rodu and
Karen Kafadar The $q$--$q$ Boxplot . . . . . . . . . . 26--39
Ursula Laa and
Dianne Cook and
Stuart Lee Burning Sage: Reversing the Curse of
Dimensionality in the Visualization of
High-Dimensional Data . . . . . . . . . 40--49
Jacob W. Priddle and
Scott A. Sisson and
David T. Frazier and
Ian Turner and
Christopher Drovandi Efficient Bayesian Synthetic Likelihood
With Whitening Transformations . . . . . 50--63
Jiefeng Bi and
Weining Shen and
Weixuan Zhu Random Forest Adjustment for Approximate
Bayesian Computation . . . . . . . . . . 64--73
Tony Pourmohamad and
Herbert K. H. Lee Bayesian Optimization Via Barrier
Functions . . . . . . . . . . . . . . . 74--83
Lars Hertel and
Pierre Baldi and
Daniel L. Gillen Reproducible Hyperparameter Optimization 84--99
Matthew Heiner and
Athanasios Kottas Estimation and Selection for High-Order
Markov Chains with Bayesian Mixture
Transition Distribution Models . . . . . 100--112
Wei Jiang and
Ma\lgorzata Bogdan and
Julie Josse and
Szymon Majewski and
B\lazej Miasojedow and
Veronika Rocková and
TraumaBase\reg Group Adaptive Bayesian SLOPE: Model Selection
With Incomplete Data . . . . . . . . . . 113--137
Beomseok Seo and
Lin Lin and
Jia Li Block-Wise Variable Selection for
Clustering Via Latent States of Mixture
Models . . . . . . . . . . . . . . . . . 138--150
Wesley Tansey and
Victor Veitch and
Haoran Zhang and
Raul Rabadan and
David M. Blei The Holdout Randomization Test for
Feature Selection in Black Box Models 151--162
Nathan Osborne and
Christine B. Peterson and
Marina Vannucci Latent Network Estimation and Variable
Selection for Compositional Data Via
Variational EM . . . . . . . . . . . . . 163--175
Abolfazl Safikhani and
Yue Bai and
George Michailidis Fast and Scalable Algorithm for
Detection of Structural Breaks in Big
VAR Models . . . . . . . . . . . . . . . 176--189
J. C. Poythress and
Jeongyoun Ahn and
Cheolwoo Park Low-rank, Orthogonally Decomposable
Tensor Regression With Application to
Visual Stimulus Decoding of fMRI Data 190--203
Jiaxin Hu and
Chanwoo Lee and
Miaoyan Wang Generalized Tensor Decomposition With
Features on Multiple Modes . . . . . . . 204--218
Erjia Cui and
Andrew Leroux and
Ekaterina Smirnova and
Ciprian M. Crainiceanu Fast Univariate Inference for
Longitudinal Functional Models . . . . . 219--230
Xiaokang Liu and
Shujie Ma and
Kun Chen Multivariate Functional Regression Via
Nested Reduced-Rank Regularization . . . 231--240
Yazhe Li and
Niall Adams and
Tony Bellotti A Relabeling Approach to Handling the
Class Imbalance Problem for Logistic
Regression . . . . . . . . . . . . . . . 241--253
Cencheng Shen and
Sambit Panda and
Joshua T. Vogelstein The Chi-Square Test of Distance
Correlation . . . . . . . . . . . . . . 254--262
Mahsa Ashouri and
Rob J. Hyndman and
Galit Shmueli Fast Forecast Reconciliation Using
Linear Models . . . . . . . . . . . . . 263--282
Xiaotian Zheng and
Athanasios Kottas and
Bruno Sansó On Construction and Estimation of
Stationary Mixture Transition
Distribution Models . . . . . . . . . . 283--293
Keqian Min and
Qing Mai and
Xin Zhang Fast and Separable Estimation in
High-Dimensional Tensor Gaussian
Graphical Models . . . . . . . . . . . . 294--300
Tucker S. McElroy Frequency Domain Calculation of Seasonal
VARMA Autocovariances . . . . . . . . . 301--303
Hong Zhang and
Judong Shen and
Zheyang Wu A Fast and Accurate Approximation to the
Distributions of Quadratic Forms of
Gaussian Variables . . . . . . . . . . . 304--311
Joseph Vargovich and
Toby Dylan Hocking Linear Time Dynamic Programming for
Computing Breakpoints in the
Regularization Path of Models Selected
From a Finite Set . . . . . . . . . . . 313--323
Seonghyun Jeong and
Taeyoung Park and
David A. van Dyk Bayesian Model Selection in Additive
Partial Linear Models Via Locally
Adaptive Splines . . . . . . . . . . . . 324--336
Brian St. Thomas and
Kisung You and
Lizhen Lin and
Lek-Heng Lim and
Sayan Mukherjee Learning Subspaces of Different
Dimensions . . . . . . . . . . . . . . . 337--350
Christine Yuen and
Piotr Fryzlewicz Exploiting Disagreement Between
High-Dimensional Variable Selectors for
Uncertainty Visualization . . . . . . . 351--359
Jaewoo Park and
Yeseul Jeon and
Minsuk Shin and
Minjeong Jeon and
Ick Hoon Jin Bayesian Shrinkage for Functional
Network Models, With Applications to
Longitudinal Item Response Data . . . . 360--377
Sara Algeri and
Xiangyu Zhang Exhaustive Goodness of Fit Via Smoothed
Inference and Graphics . . . . . . . . . 378--389
Hunyong Cho and
Nicholas P. Jewell and
Michael R. Kosorok Interval Censored Recursive Forests . . 390--402
Eric J. Beh and
Rosaria Lombardo Features of the Polynomial Biplot for
Ordered Contingency Tables . . . . . . . 403--412
Salvatore D. Tomarchio and
Michael P. B. Gallaugher and
Antonio Punzo and
Paul D. McNicholas Mixtures of Matrix-Variate Contaminated
Normal Distributions . . . . . . . . . . 413--421
Mario Beraha and
Raffaele Argiento and
Jesper Mòller and
Alessandra Guglielmi MCMC Computations for Bayesian Mixture
Models Using Repulsive Point Processes 422--435
Michael Bertolacci and
Ori Rosen and
Edward Cripps and
Sally Cripps AdaptSPEC-X: Covariate-Dependent
Spectral Modeling of Multiple
Nonstationary Time Series . . . . . . . 436--454
Christian E. Galarza Morales and
Larissa A. Matos and
Dipak K. Dey and
Victor H. Lachos On Moments of Folded and Doubly
Truncated Multivariate Extended
Skew-Normal Distributions . . . . . . . 455--465
Garritt L. Page and
Fernando A. Quintana and
Peter Müller Clustering and Prediction With Variable
Dimension Covariates . . . . . . . . . . 466--476
Matthieu Marbac and
Mohammed Sedki and
Christophe Biernacki and
Vincent Vandewalle Simultaneous Semiparametric Estimation
of Clustering and Regression . . . . . . 477--485
H. Robert Frost Eigenvectors from Eigenvalues Sparse
Principal Component Analysis . . . . . . 486--501
Emanuele Aliverti and
Massimiliano Russo Stratified Stochastic Variational
Inference for High-Dimensional Network
Factor Model . . . . . . . . . . . . . . 502--511
David J. Warne and
Ruth E. Baker and
Matthew J. Simpson Rapid Bayesian Inference for Expensive
Stochastic Models . . . . . . . . . . . 512--528
Shannon K. Gallagher and
Dean Follmann Branching Process Models to Identify
Risk Factors for Infectious Disease
Transmission . . . . . . . . . . . . . . 529--540
Lorenzo Cappello and
Julia A. Palacios Adaptive Preferential Sampling in
Phylodynamics With an Application to
SARS-CoV-2 . . . . . . . . . . . . . . . 541--552
Hyung Park and
Eva Petkova and
Thaddeus Tarpey and
R. Todd Ogden A Single-Index Model With a Surface-Link
for Optimizing Individualized Dose Rules 553--562
N. A. Heard Standardized Partial Sums and Products
of $p$-Values . . . . . . . . . . . . . 563--573
Alexander T. M. Fisch and
Idris A. Eckley and
Paul Fearnhead Subset Multivariate Collective and Point
Anomaly Detection . . . . . . . . . . . 574--585
Sevvandi Kandanaarachchi and
Rob J. Hyndman Leave-One-Out Kernel Density Estimates
for Outlier Detection . . . . . . . . . 586--599
Shijia Wang and
Shufei Ge and
Renny Doig and
Liangliang Wang Adaptive Semiparametric Bayesian
Differential Equations Via Sequential
Monte Carlo . . . . . . . . . . . . . . 600--613
Garritt L. Page and
Fernando A. Quintana and
David B. Dahl Dependent Modeling of Temporal Sequences
of Random Partitions . . . . . . . . . . 614--627
Medha Agarwal and
Dootika Vats Globally Centered Autocovariances in
MCMC . . . . . . . . . . . . . . . . . . 629--638
Jack Kuipers and
Polina Suter and
Giusi Moffa Efficient Sampling and Structure
Learning of Bayesian Networks . . . . . 639--650
Isaac Lavine and
Andrew Cron and
Mike West Bayesian Computation in Dynamic Latent
Factor Models . . . . . . . . . . . . . 651--665
Yohan Jung and
Jinkyoo Park Scalable Inference for Hybrid Bayesian
Hidden Markov Model Using Gaussian
Process Emission . . . . . . . . . . . . 666--683
Jere Koskela Zig-Zag Sampling for Discrete Structures
and Nonreversible Phylogenetic MCMC . . 684--694
Chaofan Huang and
V. Roshan Joseph and
Simon Mak Population Quasi-Monte Carlo . . . . . . 695--708
Jian Cao and
Daniele Durante and
Marc G. Genton Scalable Computation of Predictive
Probabilities in Probit Models with
Gaussian Process Priors . . . . . . . . 709--720
Alexandros Beskos and
Kengo Kamatani MCMC Algorithms for Posteriors on Matrix
Spaces . . . . . . . . . . . . . . . . . 721--738
Ursula Laa and
Dianne Cook and
Andreas Buja and
German Valencia Hole or Grain? A Section Pursuit Index
for Finding Hidden Structure in Multiple
Dimensions . . . . . . . . . . . . . . . 739--752
Ines Wilms and
Rebecca Killick and
David S. Matteson Graphical Influence Diagnostics for
Changepoint Models . . . . . . . . . . . 753--765
Alan Inglis and
Andrew Parnell and
Catherine B. Hurley Visualizing Variable Importance and
Variable Interaction Effects in Machine
Learning Models . . . . . . . . . . . . 766--778
Julia Fukuyama Local biplots for multidimensional
scaling, with application to the
microbiome . . . . . . . . . . . . . . . 779--789
Mariko Takagishi and
Michel van de Velden Visualizing Class Specific Heterogeneous
Tendencies in Categorical Data . . . . . 790--801
Cheng Meng and
Jun Yu and
Yongkai Chen and
Wenxuan Zhong and
Ping Ma Smoothing Splines Approximation Using
Hilbert Curve Basis Selection . . . . . 802--812
Charles R. Doss and
Edward Mcfowland III Nonparametric Subset Scanning for
Detection of Heteroscedasticity . . . . 813--823
Xiang Peng and
Huixia Judy Wang A Generalized Quantile Tree Method for
Subgroup Identification . . . . . . . . 824--834
Zhanfeng Wang and
Hao Dong and
Ping Ma and
Yuedong Wang Estimation and Model Selection for
Nonparametric Function-on-Function
Regression . . . . . . . . . . . . . . . 835--845
Ye Liu and
Rui Song and
Wenbin Lu and
Yanghua Xiao A Probit Tensor Factorization Model For
Relational Learning . . . . . . . . . . 846--855
Tianyu Zhan and
Jian Kang Finite-Sample Two-Group Composite
Hypothesis Testing via Machine Learning 856--865
Shiyuan He and
Kejun He and
Jianhua Z. Huang Improved Estimation of High-dimensional
Additive Models Using Subspace Learning 866--876
Wessel N. van Wieringen and
Harald Binder Sequential Learning of Regression Models
by Penalized Estimation . . . . . . . . 877--886
Hai Zhang and
Xiao Guo and
Xiangyu Chang Randomized Spectral Clustering in
Large-Scale Stochastic Block Models . . 887--906
Alessio Farcomeni and
Marco Geraci and
Cinzia Viroli Directional Quantile Classifiers . . . . 907--916
Sören R. Künzel and
Theo F. Saarinen and
Edward W. Liu and
Jasjeet S. Sekhon Linear Aggregation in Tree-Based
Estimators . . . . . . . . . . . . . . . 917--934
Yifan Zhu and
Fan Dai and
Ranjan Maitra Fully Three-Dimensional Radial
Visualization . . . . . . . . . . . . . 935--944
Leland Wilkinson and
Hengrui Luo A Distance-Preserving Matrix Sketch . . 945--959
Muzi Zhang and
Dennis K. J. Lin Visualization for Interval Data . . . . 960--975
Zhuo Qu and
Marc G. Genton Sparse Functional Boxplots for
Multivariate Curves . . . . . . . . . . 976--989
Leigh Shlomovich and
Edward A. K. Cohen and
Niall Adams and
Lekha Patel Parameter Estimation of Binned Hawkes
Processes . . . . . . . . . . . . . . . 990--1000
Yuqi Zhai and
Peisong Han Data Integration with Oracle Use of
External Information from Heterogeneous
Populations . . . . . . . . . . . . . . 1001--1012
Francis K. C. Hui GEE-Assisted Forward Regression for
Spatial Latent Variable Models . . . . . 1013--1024
Amanda Muyskens and
Joseph Guinness and
Montserrat Fuentes Partition-Based Nonstationary Covariance
Estimation Using the Stochastic Score
Approximation . . . . . . . . . . . . . 1025--1036
Jan Pablo Burgard and
Patricia Dörr Generalized Linear Mixed Models With
Crossed Effects and Unit-specific Survey
Weights . . . . . . . . . . . . . . . . 1037--1050
Jocelyn T. Chi and
Eric C. Chi A User-Friendly Computational Framework
for Robust Structured Regression with
the L$_2$ Criterion . . . . . . . . . . 1051--1062
Jiacong Du and
Jonathan Boss and
Peisong Han and
Lauren J. Beesley and
Michael Kleinsasser and
Stephen A. Goutman and
Stuart Batterman and
Eva L. Feldman and
Bhramar Mukherjee Variable Selection with Multiply-Imputed
Datasets: Choosing Between Stacked and
Grouped Methods . . . . . . . . . . . . 1063--1075
Alain Hecq and
Marie Ternes and
Ines Wilms Hierarchical Regularizers for
Mixed-Frequency Vector Autoregressions 1076--1090
Natalia Zemlianskaia and
W. James Gauderman and
Juan Pablo Lewinger A Scalable Hierarchical Lasso for
Gene-Environment Interactions . . . . . 1091--1103
Joshua Daniel Loyal and
Ruoqing Zhu and
Yifan Cui and
Xin Zhang Dimension Reduction Forests: Local
Variable Importance Using Structured
Random Forests . . . . . . . . . . . . . 1104--1113
Dongbang Yuan and
Irina Gaynanova Double-Matched Matrix Decomposition for
Multi-View Data . . . . . . . . . . . . 1114--1126
Haolun Shi and
Yuping Yang and
Liangliang Wang and
Da Ma and
Mirza Faisal Beg and
Jian Pei and
Jiguo Cao Two-Dimensional Functional Principal
Component Analysis for Image Feature
Extraction . . . . . . . . . . . . . . . 1127--1140
Ci-Ren Jiang and
Eardi Lila and
John A. D. Aston and
Jane-Ling Wang Eigen-Adjusted Functional Principal
Component Analysis . . . . . . . . . . . 1141--1152
Abhra Sarkar Bayesian Semiparametric Covariate
Informed Multivariate Density
Deconvolution . . . . . . . . . . . . . 1153--1163
Qinyi Zhang and
Veit Wild and
Sarah Filippi and
Seth Flaxman and
Dino Sejdinovic Bayesian Kernel Two-Sample Testing . . . 1164--1176
Eric F. Lock Bayesian Distance Weighted
Discrimination . . . . . . . . . . . . . 1177--1188
David B. Dahl and
Devin J. Johnson and
Peter Müller Search Algorithms and Loss Functions for
Bayesian Clustering . . . . . . . . . . 1189--1201
Alberto Caron and
Gianluca Baio and
Ioanna Manolopoulou Shrinkage Bayesian Causal Forests for
Heterogeneous Treatment Effects
Estimation . . . . . . . . . . . . . . . 1202--1214
Willem van den Boom and
Alexandros Beskos and
Maria De Iorio The $G$ -Wishart Weighted Proposal
Algorithm: Efficient Posterior
Computation for Gaussian Graphical
Models . . . . . . . . . . . . . . . . . 1215--1224
Martin Outzen Berild and
Sara Martino and
Virgilio Gómez-Rubio and
Håvard Rue Importance Sampling with the Integrated
Nested Laplace Approximation . . . . . . 1225--1237
Tore Selland Kleppe Connecting the Dots: Numerical
Randomized Hamiltonian Monte Carlo with
State-Dependent Event Rates . . . . . . 1238--1253
Runbing Zheng and
Vince Lyzinski and
Carey E. Priebe and
Minh Tang Vertex Nomination Between Graphs via
Spectral Embedding and Quadratic
Programming . . . . . . . . . . . . . . 1254--1268
Wei Zhou and
Xin He and
Wei Zhong and
Junhui Wang Efficient Learning of Quadratic Variance
Function Directed Acyclic Graphs via
Topological Layers . . . . . . . . . . . 1269--1279
Sonja Isberg and
William J. Welch Adaptive Design and Analysis Via
Partitioning Trees for Emulation of a
Complex Computer Code . . . . . . . . . 1280--1291
Avinash Barnwal and
Hyunsu Cho and
Toby Hocking Survival Regression with Accelerated
Failure Time Model in XGBoost . . . . . 1292--1302
Beomseok Seo and
Lin Lin and
Jia Li Mixture of Linear Models Co-supervised
by Deep Neural Networks . . . . . . . . 1303--1317
Yutong Li and
Ruoqing Zhu and
Mike Yeh and
Annie Qu Dermoscopic Image Classification with
Neural Style Transfer . . . . . . . . . 1318--1331
Jakob Raymaekers and
Peter J. Rousseeuw Silhouettes and Quasi Residual Plots for
Neural Nets and Tree-based Classifiers 1332--1343
Shouto Yonekura and
Alexandros Beskos Online Smoothing for Diffusion Processes
Observed with Noise . . . . . . . . . . 1344--1360
Tomas Masak and
Tomas Rubin and
Victor M. Panaretos Inference and Computation for Sparsely
Sampled Random Surfaces . . . . . . . . 1361--1374
Shanghong Xie and
Thaddeus Tarpey and
Eva Petkova and
R. Todd Ogden Multiple Domain and Multiple Kernel
Outcome-Weighted Learning for Estimating
Individualized Treatment Regimes . . . . 1375--1383
Linxi Liu and
Yang Meng and
Xiaoru Wu and
Zhiliang Ying and
Tian Zheng Log-Rank-Type Tests for Equality of
Distributions in High-Dimensional Spaces 1384--1396
Caroline Svahn and
Oleg Sysoev Selective Imputation of Covariates in
High Dimensional Censored Data . . . . . 1397--1405
Ruoqi Yu and
Paul R. Rosenbaum Graded Matching for Large Observational
Studies . . . . . . . . . . . . . . . . 1406--1415
Aldo Gardini and
Fedele Greco and
Carlo Trivisano The Mellin Transform to Manage Quadratic
Forms in Normal Random Variables . . . . 1416--1425
Guenther Walther and
Alnur Ali and
Xinyue Shen and
Stephen Boyd Confidence Bands for a Log-Concave
Density . . . . . . . . . . . . . . . . 1426--1438
Anonymous Correction . . . . . . . . . . . . . . . 1439--1439
Flávio B. Gonçalves and
Bárbara C. C. Dias Exact Bayesian Inference for Level-Set
Cox Processes with Piecewise Constant
Intensity Function . . . . . . . . . . . 1--18
Agnieszka Borowska and
Ruth King Semi-Complete Data Augmentation for
Efficient State Space Model Fitting . . 19--35
Chris Sherlock and
Andrew Golightly Exact Bayesian Inference for Discretely
Observed Markov Jump Processes Using
Finite Rate Matrices . . . . . . . . . . 36--48
Fan Yin and
Guanyu Hu and
Weining Shen Analysis of Professional Basketball
Field Goal Attempts via a Bayesian
Matrix Clustering Approach . . . . . . . 49--60
Dongjin Li and
Somak Dutta and
Vivekananda Roy Model Based Screening Embedded Bayesian
Variable Selection for Ultra-high
Dimensional Settings . . . . . . . . . . 61--73
Sarah E. Heaps Enforcing Stationarity through the Prior
in Vector Autoregressions . . . . . . . 74--83
Alex Stringer and
Patrick Brown and
Jamie Stafford Fast, Scalable Approximations to
Posterior Distributions in Extended
Latent Gaussian Models . . . . . . . . . 84--98
Marianne Menictas and
Gioia Di Credico and
Matt P. Wand Streamlined Variational Inference for
Linear Mixed Models with Crossed Random
Effects . . . . . . . . . . . . . . . . 99--115
Francesco Sanna Passino and
Nicholas A. Heard Mutually Exciting Point Process Graphs
for Modeling Dynamic Networks . . . . . 116--130
John Koo and
Minh Tang and
Michael W. Trosset Popularity Adjusted Block Models are
Generalized Random Dot Product Graphs 131--144
Avanti Athreya and
Zachary Lubberts and
Carey E. Priebe and
Youngser Park and
Minh Tang and
Vince Lyzinski and
Michael Kane and
Bryan W. Lewis Numerical Tolerance for Spectral
Decompositions of Random Matrices and
Applications to Network Inference . . . 145--156
Aramayis Dallakyan and
Mohsen Pourahmadi Fused-Lasso Regularized Cholesky Factors
of Large Nonstationary Covariance
Matrices of Replicated Time Series . . . 157--170
Barinder Thind and
Kevin Multani and
Jiguo Cao Deep Learning With Functional Inputs . . 171--180
Shih-Ting Huang and
Johannes Lederer DeepMoM: Robust Deep Learning With
Median-of-Means . . . . . . . . . . . . 181--195
David Degras Scalable Feature Matching Across Large
Data Collections . . . . . . . . . . . . 196--212
Florian Hébert and
David Causeur and
Mathieu Emily Adaptive Handling of Dependence in
High-Dimensional Regression Modeling . . 213--225
Zhenyu Wei and
Thomas C. M. Lee High-Dimensional Multi-Task Learning
using Multivariate Regression and
Generalized Fiducial Inference . . . . . 226--240
Xinmin Li and
Feifei Chen and
Hua Liang and
David Ruppert Model Checking for Logistic Models When
the Number of Parameters Tends to
Infinity . . . . . . . . . . . . . . . . 241--251
Jingfei Zhang and
Will Wei Sun and
Lexin Li Generalized Connectivity Matrix Response
Regression with Applications in Brain
Connectivity Studies . . . . . . . . . . 252--262
Jialu Li and
Guan Yu and
Qizhai Li and
Yufeng Liu Sample-Wise Combined Missing Effect
Model with Penalization . . . . . . . . 263--274
Jingwei Liang and
Clarice Poon Variable Screening for Sparse Online
Regression . . . . . . . . . . . . . . . 275--293
Adam B. Kashlak and
Sergii Myroshnychenko and
Susanna Spektor Analytic Permutation Testing for
Functional Data ANOVA . . . . . . . . . 294--303
Jicai Liu and
Jinhong Li and
Riquan Zhang $K$ -CDFs: A Nonparametric Clustering
Algorithm via Cumulative Distribution
Function . . . . . . . . . . . . . . . . 304--318
Matthys Lucas Steyn and
Tertius de Wet and
Bernard De Baets and
Stijn Luca A Nearest Neighbor Open-Set Classifier
based on Excesses of Distance Ratios . . 319--328
Jingyi Zhang and
Cheng Meng and
Jun Yu and
Mengrui Zhang and
Wenxuan Zhong and
Ping Ma An Optimal Transport Approach for
Selecting a Representative Subsample
with Application in Efficient Kernel
Density Estimation . . . . . . . . . . . 329--339
Anonymous Correction . . . . . . . . . . . . . . . ??
Antonio Elías and
Raúl Jiménez and
Anna M. Paganoni and
Laura M. Sangalli Integrated Depths for Partially Observed
Functional Data . . . . . . . . . . . . 341--352
Shuning Huo and
Jeffrey S. Morris and
Hongxiao Zhu Ultra-Fast Approximate Inference Using
Variational Functional Mixed Models . . 353--365
Erjia Cui and
Ruonan Li and
Ciprian M. Crainiceanu and
Luo Xiao Fast Multilevel Functional Principal
Component Analysis . . . . . . . . . . . 366--377
Eugen Pircalabelu and
Gerda Claeskens Linear Manifold Modeling and Graph
Estimation based on Multivariate
Functional Data with Different
Coarseness Scales . . . . . . . . . . . 378--387
Bart Blackburn and
Mark S. Handcock Practical Network Modeling via Tapered
Exponential-Family Random Graph Models 388--401
Kai Kang and
Xin Yuan Song Joint Modeling of Longitudinal Imaging
and Survival Data . . . . . . . . . . . 402--412
Amanda F. Mejia and
David Bolin and
Yu Ryan Yue and
Jiongran Wang and
Brian S. Caffo and
Mary Beth Nebel Template Independent Component Analysis
with Spatial Priors for Accurate
Subject-Level Brain Network Estimation
and Inference . . . . . . . . . . . . . 413--433
Jiaqi Gu and
Guosheng Yin Triangular Concordance Learning of
Networks . . . . . . . . . . . . . . . . 434--447
Tianning Dong and
Peiyi Zhang and
Faming Liang A Stochastic Approximation-Langevinized
Ensemble Kalman Filter Algorithm for
State Space Models with Unknown
Parameters . . . . . . . . . . . . . . . 448--469
Ruoshui Zhai and
Roee Gutman A Bayesian Singular Value Decomposition
Procedure for Missing Data Imputation 470--482
Luiza S. C. Piancastelli and
Nial Friel and
Wagner Barreto-Souza and
Hernando Ombao Multivariate Conway--Maxwell--Poisson
Distribution: Sarmanov Method and Doubly
Intractable Bayesian Inference . . . . . 483--500
Vivekananda Roy and
Lijin Zhang Convergence of Position-Dependent MALA
with Application to Conditional
Simulation in GLMMs . . . . . . . . . . 501--512
Miguel Biron-Lattes and
Alexandre Bouchard-Côté and
Trevor Campbell Pseudo-Marginal Inference for CTMCs on
Infinite Spaces via Monotonic Likelihood
Approximations . . . . . . . . . . . . . 513--527
Kan Chen and
Siyu Heng and
Qi Long and
Bo Zhang Testing Biased Randomization Assumptions
and Quantifying Imperfect Matching and
Residual Confounding in Matched
Observational Studies . . . . . . . . . 528--538
Johannes Resin A Simple Algorithm for Exact Multinomial
Tests . . . . . . . . . . . . . . . . . 539--550
Etor Arza and
Josu Ceberio and
Ekhiñe Irurozki and
Aritz Pérez Comparing Two Samples Through Stochastic
Dominance: a Graphical Approach . . . . 551--566
Michael C. Sachs and
Gustav Jonzon and
Arvid Sjölander and
Erin E. Gabriel A General Method for Deriving Tight
Symbolic Bounds on Causal Effects . . . 567--576
Yiqun Chen and
Sean Jewell and
Daniela Witten More Powerful Selective Inference for
the Graph Fused Lasso . . . . . . . . . 577--587
Weichang Yu and
Sara Wade and
Howard D. Bondell and
Lamiae Azizi Nonstationary Gaussian Process
Discriminant Analysis With Variable
Selection for High-Dimensional
Functional Data . . . . . . . . . . . . 588--600
Philippe Boileau and
Nima S. Hejazi and
Mark J. van der Laan and
Sandrine Dudoit Cross-Validated Loss-based Covariance
Matrix Estimator Selection in High
Dimensions . . . . . . . . . . . . . . . 601--612
Ming-Chung Chang Predictive Subdata Selection for
Computer Models . . . . . . . . . . . . 613--630
Daniel Schalk and
Bernd Bischl and
David Rügamer Accelerated Componentwise Gradient
Boosting Using Efficient Data
Representation and Momentum-Based
Optimization . . . . . . . . . . . . . . 631--641
Honghe Jin and
Lynne Billard Copulas and Histogram-Valued Data . . . 642--657
Mohsen Taheri and
Jörn Schulz Statistical Analysis of Locally
Parameterized Shapes . . . . . . . . . . 658--670
Tullia Padellini and
Pierpaolo Brutti Persistence Flamelets: Topological
Invariants for Scale Spaces . . . . . . 671--683
Anastasia Ushakova and
Simon A. Taylor and
Rebecca Killick Micro-Macro Changepoint Inference for
Periodic Data Sequences . . . . . . . . 684--695
Philipp Otto and
Rick Steinert Estimation of the Spatial Weighting
Matrix for Spatiotemporal Data under the
Presence of Structural Breaks . . . . . 696--711
Charles A. Pehlivanian and
Daniel B. Neill Efficient Optimization of Partition Scan
Statistics via the Consecutive
Partitions Property . . . . . . . . . . 712--729
Bin Guo and
Lynn E. Eberly and
Pierre-Gilles Henry and
Christophe Lenglet and
Eric F. Lock Multiway Sparse Distance Weighted
Discrimination . . . . . . . . . . . . . 730--743
Weng Kee Wong and
Julie Zhou Using CVX to Construct Optimal Designs
for Biomedical Studies with Multiple
Objectives . . . . . . . . . . . . . . . 744--753
Lucy D'Agostino McGowan and
Roger D. Peng and
Stephanie C. Hicks Design Principles for Data Analysis . . 754--761
Bradley S. Price and
John P. Saldanha and
Dariane Drake and
Katherine Kopp Lessons from West Virginia's Pandemic
Response . . . . . . . . . . . . . . . . 763--764
Cornelius Fritz and
Giacomo De Nicola and
Felix Günther and
David Rügamer and
Martje Rave and
Marc Schneble and
Andreas Bender and
Maximilian Weigert and
Ralph Brinks and
Annika Hoyer and
Ursula Berger and
Helmut Küchenhoff and
Göran Kauermann Challenges in Interpreting
Epidemiological Surveillance Data ---
Experiences from Germany . . . . . . . . 765--766
Emanuele Borgonovo and
Xuefei Lu and
Giovanni Rabitti Sensitivity Analysis of Pandemic Models
Can Support Effective Policy Decisions 767--768
Michael Stanley Smith and
Rubén Loaiza-Maya Implicit Copula Variational Inference 769--781
Chong You and
John T. Ormerod and
Xiangyang Li and
Cheng Heng Pang and
Xiao-Hua Zhou An Approximated Collapsed Variational
Bayes Approach to Variable Selection in
Linear Regression . . . . . . . . . . . 782--792
David T. Frazier and
Rubén Loaiza-Maya and
Gael M. Martin Variational Bayes in State Space Models:
Inferential and Predictive Accuracy . . 793--804
Joaquín Martínez-Minaya and
Finn Lindgren and
Antonio López-Quílez and
Daniel Simpson and
David Conesa The Integrated Nested Laplace
Approximation for Fitting Dirichlet
Regression Models . . . . . . . . . . . 805--823
Annie Sauer and
Andrew Cooper and
Robert B. Gramacy Vecchia-Approximated Deep Gaussian
Processes for Computer Experiments . . . 824--837
Chencheng Cai and
Rong Chen and
Han Xiao Hybrid Kronecker Product Decomposition
and Approximation . . . . . . . . . . . 838--852
Xin Xiong and
Ivor Cribben Beyond Linear Dynamic Functional
Connectivity: a Vine Copula Change Point
Model . . . . . . . . . . . . . . . . . 853--872
Xiao Zhang and
Xingjie Shi and
Yiming Liu and
Xu Liu and
Shuangge Ma A General Framework for Identifying
Hierarchical Interactions and Its
Application to Genomics Data . . . . . . 873--883
Canyi Chen and
Liping Zhu Distributed Decoding From Heterogeneous
1-Bit Compressive Measurements . . . . . 884--894
Jiayuan Zhou and
Kshitij Khare and
Sanvesh Srivastava Asynchronous and Distributed Data
Augmentation for Massive Data Settings 895--907
Yasuyuki Hamura and
Kaoru Irie and
Shonosuke Sugasawa On Data Augmentation for Models
Involving Reciprocal Gamma Functions . . 908--916
Laura D'Angelo and
Antonio Canale Efficient Posterior Sampling for
Bayesian Poisson Regression . . . . . . 917--926
Si-Yu Yi and
Ze Liu and
Min-Qian Liu and
Yong-Dao Zhou Global Likelihood Sampler for Multimodal
Distributions . . . . . . . . . . . . . 927--937
Qiang Heng and
Hua Zhou and
Eric C. Chi Bayesian Trend Filtering via Proximal
Markov Chain Monte Carlo . . . . . . . . 938--949
Mirrelijn M. van Nee and
Tim van de Brug and
Mark A. van de Wiel Fast Marginal Likelihood Estimation of
Penalties for Group-Adaptive Elastic Net 950--960
Le Chang and
A. H. Welsh Robust Multivariate Lasso Regression
with Covariance Estimation . . . . . . . 961--973
Canhong Wen and
Qin Wang and
Yuan Jiang Stability Approach to Regularization
Selection for Reduced-Rank Regression 974--984
Mauro Bernardi and
Antonio Canale and
Marco Stefanucci Locally Sparse Function-on-Function
Regression . . . . . . . . . . . . . . . 985--999
Peijun Sang and
Adam B. Kashlak and
Linglong Kong A Reproducing Kernel Hilbert Space
Framework for Functional Classification 1000--1008
Cunjie Lin and
Jingfu Peng and
Yichen Qin and
Yang Li and
Yuhong Yang Optimal Integrating Learning for Split
Questionnaire Design Type Data . . . . . 1009--1023
Pavlos Zoubouloglou and
Eduardo García-Portugués and
J. S. Marron Scaled Torus Principal Component
Analysis . . . . . . . . . . . . . . . . 1024--1035
Lili Wu and
Shu Yang Transfer Learning of Individualized
Treatment Rules from Experimental to
Real-World Data . . . . . . . . . . . . 1036--1045
Antonio R. Linero and
Junliang Du Gibbs Priors for Bayesian Nonparametric
Variable Selection with Weak Learners 1046--1059
Gunwoong Park Computationally Efficient Learning of
Gaussian Linear Structural Equation
Models with Equal Error Variances . . . 1060--1073
Changcheng Li and
Runze Li and
Jiawei Wen and
Songshan Yang and
Xiang Zhan Regularized Linear Programming
Discriminant Rule with Folded Concave
Penalty for Ultrahigh-Dimensional Data 1074--1082
Yuan Gao and
Xuening Zhu and
Haobo Qi and
Guodong Li and
Riquan Zhang and
Hansheng Wang An Asymptotic Analysis of Random
Partition Based Minibatch Momentum
Methods for Linear Regression Models . . 1083--1096
Alfonso Landeros and
Kenneth Lange Algorithms for Sparse Support Vector
Machines . . . . . . . . . . . . . . . . 1097--1108
Louis Raynal and
Till Hoffmann and
Jukka-Pekka Onnela Cost-based Feature Selection for Network
Model Choice . . . . . . . . . . . . . . 1109--1118
Marzia A. Cremona and
Francesca Chiaromonte Probabilistic $K$-means with Local
Alignment for Clustering and Motif
Discovery in Functional Data . . . . . . 1119--1130
Junyi Zhou and
Ying Zhang and
Wanzhu Tu clusterMLD: an Efficient Hierarchical
Clustering Method for Multivariate
Longitudinal Data . . . . . . . . . . . 1131--1144
Xiran Liu and
Naama M. Kopelman and
Noah A. Rosenberg A Dirichlet Model of Alignment Cost in
Mixed-Membership Unsupervised Clustering 1145--1159
Chenglong Ye and
Reza Ghanadan and
Jie Ding Meta Clustering for Collaborative
Learning . . . . . . . . . . . . . . . . 1160--1169
Sihan Huang and
Haolei Weng and
Yang Feng Spectral Clustering via Adaptive Layer
Aggregation for Multi-Layer Networks . . 1170--1184
Yinqiao Yan and
Xiangyu Luo Bayesian Tree-Structured Two-Level
Clustering for Nested Data Analysis . . 1185--1194
Andrea Cappozzo and
Luis Angel García-Escudero and
Francesca Greselin and
Agustín Mayo-Iscar Graphical and Computational Tools to
Guide Parameter Choice for the Cluster
Weighted Robust Model . . . . . . . . . 1195--1214
Luca Greco and
Pier Luigi Novi Inverardi and
Claudio Agostinelli Finite Mixtures of Multivariate Wrapped
Normal Distributions for Model Based
Clustering of $p$-Torus Data . . . . . . 1215--1228
Ursula Laa and
Alex Aumann and
Dianne Cook and
German Valencia New and Simplified Manual Controls for
Projection and Slice Tours, With
Application to Exploring Classification
Boundaries in High Dimensions . . . . . 1229--1236
Corinne Jones and
Vincent Roulet and
Zaid Harchaoui Revisiting Convolutional Neural Networks
from the Viewpoint of Kernel-Based
Methods . . . . . . . . . . . . . . . . 1237--1247
Aniruddha Rajendra Rao and
Matthew Reimherr Nonlinear Functional Modeling Using
Neural Networks . . . . . . . . . . . . 1248--1257
Shengtong Zhang and
Daniel W. Apley Interpretable Architecture Neural
Networks for Function Visualization . . 1258--1271
Marius Hofert and
Avinash Prasad and
Mu Zhu Dependence Model Assessment and
Selection with DecoupleNets . . . . . . 1272--1286
Akifumi Okuno and
Keisuke Yano A Generalization Gap Estimation for
Overparameterized Models via the
Langevin Functional Variance . . . . . . 1287--1295
Tianxi Li and
Yun-Jhong Wu and
Elizaveta Levina and
Ji Zhu Link Prediction for Egocentrically
Sampled Networks . . . . . . . . . . . . 1296--1319
Zhongyuan Lyu and
Dong Xia and
Yuan Zhang Latent Space Model for Higher-Order
Networks and Generalized Tensor
Decomposition . . . . . . . . . . . . . 1320--1336
Kris Sankaran Bootstrap Confidence Regions for Learned
Feature Embeddings . . . . . . . . . . . 1337--1347
Haobo Qi and
Feifei Wang and
Hansheng Wang Statistical Analysis of Fixed Mini-Batch
Gradient Descent Estimator . . . . . . . 1348--1360
Rosario Barone and
Luciana Dalla Valle Bayesian Nonparametric Modeling of
Conditional Multidimensional Dependence
Structures . . . . . . . . . . . . . . . 1361--1370
David B. Dahl and
Devin J. Johnson and
R. Jacob Andros Comparison and Bayesian Estimation of
Feature Allocations . . . . . . . . . . 1371--1382
Harriet Spearing and
Jonathan Tawn and
David Irons and
Tim Paulden Modeling Intransitivity in Pairwise
Comparisons with Application to Baseball
Data . . . . . . . . . . . . . . . . . . 1383--1392
Benjamin Christoffersen and
Behrang Mahjani and
Mark Clements and
Hedvig Kjellström and
Keith Humphreys Quasi-Monte Carlo Methods for Binary
Event Models with Complex Family Data 1393--1401
Andrew J. Holbrook A Quantum Parallel Markov Chain Monte
Carlo . . . . . . . . . . . . . . . . . 1402--1415
Pierpaolo De Blasi and
María F. Gil-Leyva Gibbs Sampling for Mixtures in Order of
Appearance: The Ordered Allocation
Sampler . . . . . . . . . . . . . . . . 1416--1424
Matthew Sutton and
Paul Fearnhead Concave-Convex PDMP-based Sampling . . . 1425--1435
Chris Sherlock and
Szymon Urbas and
Matthew Ludkin The Apogee to Apogee Path Sampler . . . 1436--1446
Alice Martin and
Marie-Pierre Étienne and
Pierre Gloaguen and
Sylvain Le Corff and
Jimmy Olsson Backward Importance Sampling for Online
Estimation of State Space Models . . . . 1447--1460
Dennis Prangle and
Cecilia Viscardi Distilling Importance Sampling for
Likelihood Free Inference . . . . . . . 1461--1471
Mitchell L. Krock and
William Kleiber and
Dorit Hammerling and
Stephen Becker Modeling Massive Highly Multivariate
Nonstationary Spatial Data with the
Basis Graphical Lasso . . . . . . . . . 1472--1487
Lorenzo Cappello and
Oscar Hernan Madrid Padilla and
Julia A. Palacios Bayesian Change Point Detection with
Spike-and-Slab Priors . . . . . . . . . 1488--1500
Tao Li and
Jun Yu and
Cheng Meng Scalable Model-Free Feature Screening
via Sliced-Wasserstein Dependency . . . 1501--1511
Mengyu Li and
Jun Yu and
Hongteng Xu and
Cheng Meng Efficient Approximation of
Gromov-Wasserstein Distance Using
Importance Sparsification . . . . . . . 1512--1523
Saptarshi Chakraborty and
Jason Xu Biconvex Clustering . . . . . . . . . . 1524--1536
Emily A. Robinson and
Reka Howard and
Susan VanderPlas Eye Fitting Straight Lines in the Modern
Era . . . . . . . . . . . . . . . . . . 1537--1544
Huang Huang and
Ying Sun and
Marc G. Genton Test and Visualization of Covariance
Properties for Multivariate
Spatio-Temporal Random Fields . . . . . 1545--1555
Charlie Sire and
Rodolphe Le Riche and
Didier Rulli\`ere and
Jérémy Rohmer and
Lucie Pheulpin and
Yann Richet Quantizing Rare Random Maps: Application
to Flooding Visualization . . . . . . . 1556--1571
Susan VanderPlas and
Yawei Ge and
Antony Unwin and
Heike Hofmann Penguins Go Parallel: a Grammar of
Graphics Framework for Generalized
Parallel Coordinate Plots . . . . . . . 1572--1587
Jiahao Cao and
Shiyuan He and
Bohai Zhang Spatial Linear Regression with Covariate
Measurement Errors: Inference and
Scalable Computation in a Functional
Modeling Approach . . . . . . . . . . . 1588--1599
Almond Stöcker and
Lisa Steyer and
Sonja Greven Functional Additive Models on Manifolds
of Planar Shapes and Forms . . . . . . . 1600--1612
Bo Kai and
Mian Huang and
Weixin Yao and
Yuexiao Dong Nonparametric and Semiparametric
Quantile Regression via a New MM
Algorithm . . . . . . . . . . . . . . . 1613--1623
Zhihua Su and
Bing Li and
Dennis Cook Envelope Model for Function-on-Function
Linear Regression . . . . . . . . . . . 1624--1635
Tonglin Zhang Maximum Likelihood Algorithm for Spatial
Generalized Linear Mixed Models without
Numerical Evaluations of Intractable
Integrals . . . . . . . . . . . . . . . 1636--1648
Ze Chen and
Jun Liao and
Wangli Xu and
Yuhong Yang Multifold Cross-Validation Model
Averaging for Generalized Additive
Partial Linear Models . . . . . . . . . 1649--1659
Elliot Dovers and
Wesley Brooks and
Gordana C. Popovic and
David I. Warton Fast, Approximate Maximum Likelihood
Estimation of Log-Gaussian Cox Processes 1660--1670
Wan-Lun Wang Multivariate Contaminated Normal
Censored Regression Model: Properties
and Maximum Likelihood Inference . . . . 1671--1684
Tony Sit and
Yue Xing Distributed Censored Quantile Regression 1685--1697
Maryclare Griffin and
Peter D. Hoff Structured Shrinkage Priors . . . . . . 1--14
Yudan Zou and
Yiqi Lin and
Xinyuan Song Bayesian Heterogeneous Hidden Markov
Models with an Unknown Number of States 15--24
Christopher J. Fallaize and
Theodore Kypraios Bayesian Model Choice for Directional
Data . . . . . . . . . . . . . . . . . . 25--34
Guanxun Li and
Quan Zhou Bayesian Multi-Task Variable Selection
with an Application to Differential DAG
Analysis . . . . . . . . . . . . . . . . 35--46
M. T. Pratola and
E. I. George and
R. E. McCulloch Influential Observations in Bayesian
Regression Tree Models . . . . . . . . . 47--63
David Bolin and
Alexandre B. Simas and
Zhen Xiong Covariance-Based Rational Approximations
of Fractional SPDEs for Computationally
Efficient Bayesian Inference . . . . . . 64--74
Minwoo Kim and
Shrijita Bhattacharya and
Tapabrata Maiti Statistically Valid Variational Bayes
Algorithm for Ising Model Parameter
Estimation . . . . . . . . . . . . . . . 75--84
Marco Riani and
Anthony C. Atkinson and
Aldo Corbellini Robust Transformations for Multiple
Regression via Additivity and Variance
Stabilization . . . . . . . . . . . . . 85--100
Christopher Drovandi and
David J. Nott and
David T. Frazier Improving the Accuracy of Marginal
Approximations in Likelihood-Free
Inference via Localization . . . . . . . 101--111
Yongyun Shin and
Stephen W. Raudenbush Maximum Likelihood Estimation of
Hierarchical Linear Models from
Incomplete Data: Random Coefficients,
Statistical Interactions, and
Measurement Error . . . . . . . . . . . 112--125
Yannis G. Yatracos EDI-Graphic: a Tool To Study Parameter
Discrimination and Confirm
Identifiability in Black-Box Models, and
to Select Data-Generating Machines . . . 126--137
Ben Sherwood and
Bradley S. Price On the Use of Minimum Penalties in
Statistical Learning . . . . . . . . . . 138--151
Alessandro Colombi and
Raffaele Argiento and
Lucia Paci and
Alessia Pini Learning Block Structured Graphs in
Gaussian Graphical Models . . . . . . . 152--165
Chad Klumb and
Martina Morris and
Steven M. Goodreau and
Samuel M. Jenness Improving and Extending STERGM
Approximations Based on Cross-Sectional
Data and Tie Durations . . . . . . . . . 166--180
Haixu Wang and
Jiguo Cao Functional Nonlinear Learning . . . . . 181--191
Byron C. Jaeger and
Sawyer Welden and
Kristin Lenoir and
Jaime L. Speiser and
Matthew W. Segar and
Ambarish Pandey and
Nicholas M. Pajewski Accelerated and Interpretable Oblique
Random Survival Forests . . . . . . . . 192--207
Junge Li and
Qing Mai Model-Based Tensor Low-Rank Clustering 208--218
Hui Shen and
Shankar Bhamidi and
Yufeng Liu Statistical Significance of Clustering
with Multidimensional Scaling . . . . . 219--230
Oh-Ran Kwon and
Zhaosong Lu and
Hui Zou Exactly Uncorrelated Sparse Principal
Component Analysis . . . . . . . . . . . 231--241
Xinyi Zhang and
Qiang Sun and
Dehan Kong Supervised Principal Component
Regression for Functional Responses with
High Dimensional Predictors . . . . . . 242--249
Youhan Lu and
Yushen Dong and
Juan Hu and
Yichao Wu A Unified Approach to Variable Selection
for Partially Linear Models . . . . . . 250--260
Aleksei Sholokhov and
James V. Burke and
Damian F. Santomauro and
Peng Zheng and
Aleksandr Aravkin A Relaxation Approach to Feature
Selection for Linear Mixed Effects
Models . . . . . . . . . . . . . . . . . 261--275
Haixiang Zhang and
Lulu Zuo and
HaiYing Wang and
Liuquan Sun Approximating Partial Likelihood
Estimators via Optimal Subsampling . . . 276--288
Jianxiao Yang and
Martijn J. Schuemie and
Xiang Ji and
Marc A. Suchard Massive Parallelization of Massive
Sample-Size Survival Analysis . . . . . 289--302
Volodymyr Melnykov and
Yang Wang and
Yana Melnykov and
Francesca Torti and
Domenico Perrotta and
Marco Riani On Simulating Skewed and
Cluster-Weighted Data for Studying
Performance of Clustering Algorithms . . 303--309
Maryclare Griffin Improved Pathwise Coordinate Descent for
Power Penalties . . . . . . . . . . . . 310--315
Peng Zhang and
Ben Liu and
Jingjing Pan Iteratively Reweighted Least Squares
Method for Estimating Polyserial and
Polychoric Correlation Coefficients . . 316--328
Anonymous Statement of Retraction: Detecting
Anomalous Time Series by
GAMLSS-Akaike-Weights-Scoring . . . . . 329--329
Cole Sodja Detecting Anomalous Time Series by
GAMLSS-Akaike-Weights-Scoring . . . . . ??
Anonymous The Journal of Computational and
Graphical Statistics 2023 Associate
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Yasuyuki Hamura and
Kaoru Irie and
Shonosuke Sugasawa Gibbs Sampler for Matrix Generalized
Inverse Gaussian Distributions . . . . . 331--340
Tom Stindl and
Feng Chen EM Algorithm for the Estimation of the
RETAS Model . . . . . . . . . . . . . . 341--351
Yongshi Deng and
Thomas Lumley Multiple Imputation Through XGBoost . . 352--363
Santeri Karppinen and
Sumeetpal S. Singh and
Matti Vihola Conditional Particle Filters with Bridge
Backward Sampling . . . . . . . . . . . 364--378
Priyam Das and
Deborshee Sen and
Debsurya De and
Jue Hou and
Zahra S. H. Abad and
Nicole Kim and
Zongqi Xia and
Tianxi Cai Clustering Sequence Data with Mixture
Markov Chains with Covariates Using
Multiple Simplex Constrained
Optimization Routine (MSiCOR) . . . . . 379--392
Medha Agarwal and
Jason Xu Quasi-Newton Acceleration of EM and MM
Algorithms via Broyden's Method . . . . 393--406
Li-Pang Chen Variable Selection and Estimation for
Misclassified Binary Responses and
Multivariate Error-Prone Predictors . . 407--420
Fan Chen and
Karl Rohe A New Basis for Sparse Principal
Component Analysis . . . . . . . . . . . 421--434
Lih-Yuan Deng and
Ching-Chi Yang and
Dale Bowman and
Dennis K. J. Lin and
Henry Horng-Shing Lu Big Data Model Building Using Dimension
Reduction and Sample Selection . . . . . 435--447
Sarbojit Roy and
Soham Sarkar and
Subhajit Dutta and
Anil K. Ghosh On Exact Feature Screening in
Ultrahigh-Dimensional Binary
Classification . . . . . . . . . . . . . 448--462
Wenjia Wang and
Yusi Fang and
Chung Chang and
George C. Tseng Accurate and Ultra-Efficient $p$-Value
Calculation for Higher Criticism Tests 463--476
Zhiyong Hu and
Dipak K. Dey Generalized Variable Selection
Algorithms for Gaussian Process Models
by LASSO-Like Penalty . . . . . . . . . 477--486
Maoyu Zhang and
Jingfei Zhang and
Wenlin Dai Fast Community Detection in Dynamic and
Heterogeneous Networks . . . . . . . . . 487--500
Jie Hu and
Xiao Chen and
Yu Chen and
Weiping Zhang Joint Network Reconstruction and
Community Detection from Rich but Noisy
Data . . . . . . . . . . . . . . . . . . 501--514
Yuzhao Zhang and
Jingnan Zhang and
Yifan Sun and
Junhui Wang Change Point Detection in Dynamic
Networks via Regularized Tensor
Decomposition . . . . . . . . . . . . . 515--524
Walter Dempsey Recurrent Event Analysis in the Presence
of Real-Time High Frequency Data via
Random Subsampling . . . . . . . . . . . 525--537
Leying Guan Smooth and Probabilistic PARAFAC Model
with Auxiliary Covariates . . . . . . . 538--550
Lukasz Kidzi\'nski and
Trevor Hastie Modeling Longitudinal Data Using Matrix
Completion . . . . . . . . . . . . . . . 551--566
William Consagra and
Arun Venkataraman and
Xing Qiu Efficient Multidimensional Functional
Data Analysis Using Marginal Product
Basis Systems . . . . . . . . . . . . . 567--577
Ruiyan Luo and
Xin Qi General Nonlinear Function-on-Function
Regression via Functional Universal
Approximation . . . . . . . . . . . . . 578--587
Nicoletta D'Angelo and
Giada Adelfio and
Jorge Mateu and
Ottmar Cronie Local Inhomogeneous Weighted Summary
Statistics for Marked Point Processes 588--602
Christopher J. Geoga and
Michael L. Stein A Scalable Method to Exploit Screening
in Gaussian Process Models with Noise 603--613
Xufei Wang and
Bo Jiang and
Jun S. Liu Varying Coefficient Model via Adaptive
Spline Fitting . . . . . . . . . . . . . 614--624
Rebeka Man and
Xiaoou Pan and
Kean Ming Tan and
Wen-Xin Zhou A Unified Algorithm for Penalized
Convolution Smoothed Quantile Regression 625--637
David K. Lim and
Naim U. Rashid and
Junier B. Oliva and
Joseph G. Ibrahim Deeply Learned Generalized Linear Models
with Missing Data . . . . . . . . . . . 638--650
Martin Storath and
Andreas Weinmann Smoothing Splines for Discontinuous
Signals . . . . . . . . . . . . . . . . 651--664
David Gunawan and
Robert Kohn and
David Nott Flexible Variational Bayes Based on a
Copula of a Mixture . . . . . . . . . . 665--680
Lanjue Chen and
Jin Su and
Alan T. K. Wan and
Yong Zhou A Simple Divide-and-Conquer-based
Distributed Method for the Accelerated
Failure Time Model . . . . . . . . . . . 681--698
Vít Fojtík and
Petra Laketa and
Pavlo Mozharovskyi and
Stanislav Nagy On Exact Computation of Tukey Depth
Central Regions . . . . . . . . . . . . 699--713
Mohammad Ghasempour and
Niloofar Moosavi and
Xavier de Luna Convolutional Neural Networks for Valid
and Efficient Causal Inference . . . . . 714--723
Meijia Wang and
Jingyu He and
P. Richard Hahn Local Gaussian Process Extrapolation for
BART Models with Applications to Causal
Inference . . . . . . . . . . . . . . . 724--735
Xi Yang and
Jan Hannig and
Katherine A. Hoadley and
Iain Carmichael and
J. S. Marron Measure of Strength of Evidence for
Visually Observed Differences between
Subpopulations . . . . . . . . . . . . . 736--748
Jae-Kyung Shin and
Kwan-Young Bak and
Ja-Yong Koo An Adaptive Neural Network Regression
Method for Structure Identification . . 749--762
Peiyao Wang and
Haodong Wang and
Quefeng Li and
Dinggang Shen and
Yufeng Liu Joint and Individual Component
Regression . . . . . . . . . . . . . . . 763--773
Sepideh Mosaferi and
Mark S. Kaiser and
Daniel J. Nordman Properties of Test Statistics for
Nonparametric Cointegrating Regression
Functions Based on Subsamples . . . . . 774--786
Lu Yang Double Probability Integral Transform
Residuals for Regression Models with
Discrete Outcomes . . . . . . . . . . . 787--803
Lam Tran and
Gen Li and
Lan Luo and
Hui Jiang A Fast Solution to the Lasso Problem
with Equality Constraints . . . . . . . 804--813
Pierre-Antoine Thouvenin and
Audrey Repetti and
Pierre Chainais A Distributed Block-Split Gibbs Sampler
with Hypergraph Structure for
High-Dimensional Inverse Problems . . . 814--832
Ian Taylor and
Andee Kaplan and
Brenda Betancourt Fast Bayesian Record Linkage for
Streaming Data Contexts . . . . . . . . 833--844
Mingwei Xu and
Samuel W. K. Wong and
Peijun Sang A Bayesian Collocation Integral Method
for Parameter Estimation in Ordinary
Differential Equations . . . . . . . . . 845--854
Hengrui Luo and
Younghyun Cho and
James W. Demmel and
Xiaoye S. Li and
Yang Liu Hybrid Parameter Search and Dynamic
Model Selection for Mixed-Variable
Bayesian Optimization . . . . . . . . . 855--868
Bolun Liu and
Shane Lubold and
Adrian E. Raftery and
Tyler H. McCormick Bayesian Hyperbolic Multidimensional
Scaling . . . . . . . . . . . . . . . . 869--882
Ziang Zhang and
Alex Stringer and
Patrick Brown and
Jamie Stafford Model-Based Smoothing with Integrated
Wiener Processes and Overlapping Splines 883--895
Kellin Rumsey and
Devin Francom and
Scott Vander Wiel Discovering Active Subspaces for
High-Dimensional Computer Models . . . . 896--908
Rung-Sheng Lu and
Shao-Hsuan Wang and
Su-Yun Huang A Geometric Algorithm for Contrastive
Principal Component Analysis in High
Dimension . . . . . . . . . . . . . . . 909--916
Lorenzo Schiavon and
Bernardo Nipoti and
Antonio Canale Accelerated Structured Matrix
Factorization . . . . . . . . . . . . . 917--927
Patricia Puchhammer and
Peter Filzmoser Spatially Smoothed Robust Covariance
Estimation for Local Outlier Detection 928--940
Marina I. Knight and
Matthew A. Nunes and
Jessica K. Hargreaves Adaptive Wavelet Domain Principal
Component Analysis for Nonstationary
Time Series . . . . . . . . . . . . . . 941--954
Elena Tuzhilina and
Trevor J. Hastie and
Daniel J. McDonald and
J. Kenneth Tay and
Robert Tibshirani Smooth Multi-Period Forecasting With
Application to Prediction of COVID-19
Cases . . . . . . . . . . . . . . . . . 955--967
Jiahe Lin and
Huitian Lei and
George Michailidis Structural Discovery with Partial
Ordering Information for Time-Dependent
Data with Convergence Guarantees . . . . 968--977
Raphaël Huser and
Michael L. Stein and
Peng Zhong Vecchia Likelihood Approximation for
Accurate and Fast Inference with
Intractable Spatial Max-Stable Models 978--990
Sjoerd Hermes and
Joost van Heerwaarden and
Pariya Behrouzi Copula Graphical Models for
Heterogeneous Mixed Data . . . . . . . . 991--1005
Zack Stokes and
Weng Kee Wong and
Hongquan Xu Metaheuristic Solutions to
Order-of-Addition Design Problems . . . 1006--1016
Ming-Chung Chang Supervised Stratified Subsampling for
Predictive Analytics . . . . . . . . . . 1017--1036
Jiaqing Zhu and
Lin Wang and
Fasheng Sun Group-Orthogonal Subsampling for
Hierarchical Data Based on Linear Mixed
Models . . . . . . . . . . . . . . . . . 1037--1046
Matthew R. Williams and
Terrance D. Savitsky Optimization for Calibration of Survey
Weights under a Large Number of
Conflicting Constraints . . . . . . . . 1047--1060
Jin-Hong Du and
Pratik Patil and
Kathryn Roeder and
Arun Kumar Kuchibhotla Extrapolated Cross-Validation for
Randomized Ensembles . . . . . . . . . . 1061--1072
Cristian Predescu and
Michael Snarski and
Avi Robinson-Mosher and
Duluxan Sritharan and
Tamas Szalay and
David E. Shaw Times Square Sampling: an Adaptive
Algorithm for Free Energy Estimation . . 1073--1083
Minsuk Shin and
Shijie Wang and
Jun S. Liu Generative Multi-Purpose Sampler for
Weighted M-estimation . . . . . . . . . 1084--1097
Charles J. Wolock and
Peter B. Gilbert and
Noah Simon and
Marco Carone A Framework for Leveraging Machine
Learning Tools to Estimate Personalized
Survival Curves . . . . . . . . . . . . 1098--1108
Subrata Pal and
Somak Dutta and
Ranjan Maitra Fast Matrix-Free Methods for Model-Based
Personalized Synthetic MR Imaging . . . 1109--1117
Przemys\law Biecek and
Hubert Baniecki and
Mateusz Krzyzi\'nski and
Dianne Cook Performance Is Not Enough: The Story
Told by a Rashomon Quartet . . . . . . . 1118--1121
Andrés Ramírez-Hassan and
David T. Frazier Testing Model Specification in
Approximate Bayesian Computation Using
Asymptotic Properties . . . . . . . . . 1122--1128
Anonymous Correction: \booktitleProbabilistic
$K$-means with Local Alignment for
Clustering and Motif Discovery in
Functional Data, Cremona, M. A., and
Chiaromonte, F., Journal of
Computational and Graphical Statistics,
32(3) 1119--1130 . . . . . . . . . . . . 1129--1129