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Content
October 2017, Volume 112, Issue 520
- 1534-1537 Comment: Nonparametric Bayes Modeling of Populations of Networks
by Tamara Broderick - 1537-1539 Comment
by Mark S. Handcock - 1539-1543 Comment: Nonparametric Bayes Modeling of Populations of Networks
by Nicholas J. Foti & Emily B. Fox - 1543-1547 Comment: A Discussion of “Nonparametric Bayes Modeling of Populations of Networks”
by Scott W. Linderman & David M. Blei - 1547-1552 Rejoinder: Nonparametric Bayes Modeling of Populations of Networks
by Daniele Durante & David B. Dunson & Joshua T. Vogelstein - 1553-1561 Linear Model Selection When Covariates Contain Errors
by Xinyu Zhang & Haiying Wang & Yanyuan Ma & Raymond J. Carroll - 1562-1570 Bootstrap Variance Estimation for Rejective Sampling
by Wayne A. Fuller & Jason C. Legg & Yang Li - 1571-1586 Estimation and Inference of Quantile Regression for Survival Data Under Biased Sampling
by Gongjun Xu & Tony Sit & Lan Wang & Chiung-Yu Huang - 1587-1597 Variable Selection in Kernel Regression Using Measurement Error Selection Likelihoods
by Kyle R. White & Leonard A. Stefanski & Yichao Wu - 1598-1611 The Hamming Ball Sampler
by Michalis K. Titsias & Christopher Yau - 1612-1622 Rotated Sphere Packing Designs
by Xu He - 1623-1635 Frequency of Frequencies Distributions and Size-Dependent Exchangeable Random Partitions
by Mingyuan Zhou & Stefano Favaro & Stephen G Walker - 1636-1647 The Iterated Auxiliary Particle Filter
by Pieralberto Guarniero & Adam M. Johansen & Anthony Lee - 1648-1662 A Semiparametric Single-Index Risk Score Across Populations
by Shujie Ma & Yanyuan Ma & Yanqing Wang & Eli S. Kravitz & Raymond J. Carroll - 1663-1674 A Simple Parametric Model Selection Test
by Susanne M. Schennach & Daniel Wilhelm - 1675-1683 Composite Designs Based on Orthogonal Arrays and Definitive Screening Designs
by Yong-Dao Zhou & Hongquan Xu - 1684-1696 Density Level Sets: Asymptotics, Inference, and Visualization
by Yen-Chi Chen & Christopher R. Genovese & Larry Wasserman - 1697-1707 Network Reconstruction From High-Dimensional Ordinary Differential Equations
by Shizhe Chen & Ali Shojaie & Daniela M. Witten - 1708-1719 Bayesian Simultaneous Edit and Imputation for Multivariate Categorical Data
by Daniel Manrique-Vallier & Jerome P. Reiter - 1720-1732 Bootstrap Inference of Matching Estimators for Average Treatment Effects
by Taisuke Otsu & Yoshiyasu Rai - 1733-1743 Statistical Tests for Large Tree-Structured Data
by Karthik Bharath & Prabhanjan Kambadur & Dipak. K. Dey & Arvind Rao & Veerabhadran Baladandayuthapani - 1744-1758 Estimation of the Continuous and Discontinuous Leverage Effects
by Yacine Aït-Sahalia & Jianqing Fan & Roger J. A. Laeven & Christina Dan Wang & Xiye Yang - 1759-1769 General Forms of Finite Population Central Limit Theorems with Applications to Causal Inference
by Xinran Li & Peng Ding - 1770-1770 Correction
by Samuel D. Pimentel & Rachel R. Kelz & Jeffrey H. Silber & Paul R. Rosenbaum - 1771-1783 Book Reviews
by The Editors - 1784-1791 Editorial Collaborators
by The Editors
July 2017, Volume 112, Issue 519
- 885-895 Statistical Significance and the Dichotomization of Evidence
by Blakeley B. McShane & David Gal - 895-897 A -Value to Die For
by Donald Berry - 897-898 The Substitute for -Values
by William M. Briggs - 899-901 Some Natural Solutions to the -Value Communication Problem—and Why They Won’t Work
by Andrew Gelman & John Carlin - 902-904 Statistical Significance and the Dichotomization of Evidence: The Relevance of the ASA Statement on Statistical Significance and p-Values for Statisticians
by Eric B. Laber & Kerby Shedden - 904-908 Rejoinder: Statistical Significance and the Dichotomization of Evidence
by Blakeley B. McShane & David Gal - 909-920 Optimal Seed Deployment Under Climate Change Using Spatial Models: Application to Loblolly Pine in the Southeastern US
by Alfredo Farjat & Brian J. Reich & Joseph Guinness & Ross Whetten & Steven McKeand & Fikret Isik - 921-932 Mining Massive Amounts of Genomic Data: A Semiparametric Topic Modeling Approach
by Ethan X. Fang & Min-Dian Li & Michael I. Jordan & Han Liu - 933-947 Mortality Rate Estimation and Standardization for Public Reporting: Medicare’s Hospital Compare
by E. I. George & V. Ročková & P. R. Rosenbaum & V. A. Satopää & J. H. Silber - 948-965 “When, Where, and How” of Efficiency Estimation: Improved Procedures for Stochastic Frontier Modeling
by Mike G. Tsionas - 966-978 Set-Based Tests for the Gene–Environment Interaction in Longitudinal Studies
by Zihuai He & Min Zhang & Seunggeun Lee & Jennifer A. Smith & Sharon L. R. Kardia & V. Diez Roux & Bhramar Mukherjee - 979-993 A Geometric Approach to Visualization of Variability in Functional Data
by Weiyi Xie & Sebastian Kurtek & Karthik Bharath & Ying Sun - 994-1008 Finding Common Modules in a Time-Varying Network with Application to the Gene Regulation Network
by Jingfei Zhang & Jiguo Cao - 1009-1021 MWPCR: Multiscale Weighted Principal Component Regression for High-Dimensional Prediction
by Hongtu Zhu & Dan Shen & Xuewei Peng & Leo Yufeng Liu - 1022-1031 Constructing Predictive Microbial Signatures at Multiple Taxonomic Levels
by Tao Wang & Hongyu Zhao - 1032-1046 Sparse Simultaneous Signal Detection for Identifying Genetically Controlled Disease Genes
by Sihai Dave Zhao & T. Tony Cai & Thomas P. Cappola & Kenneth B. Margulies & Hongzhe Li - 1047-1063 Multiscale Spatial Density Smoothing: An Application to Large-Scale Radiological Survey and Anomaly Detection
by Wesley Tansey & Alex Athey & Alex Reinhart & James G. Scott - 1064-1075 Empirical Likelihood for Random Sets
by Karun Adusumilli & Taisuke Otsu - 1076-1089 Automatic Optimal Batch Size Selection for Recursive Estimators of Time-Average Covariance Matrix
by Kin Wai Chan & Chun Yip Yau - 1090-1106 Continuous Time Analysis of Fleeting Discrete Price Moves
by Neil Shephard & Justin J. Yang - 1107-1120 Joint Estimation of Quantile Planes Over Arbitrary Predictor Spaces
by Yun Yang & Surya T. Tokdar - 1121-1130 On Modeling and Estimation for the Relative Risk and Risk Difference
by Thomas S. Richardson & James M. Robins & Linbo Wang - 1131-1146 Parsimonious Tensor Response Regression
by Lexin Li & Xin Zhang - 1147-1155 Estimation of Monotone Treatment Effects in Network Experiments
by David Choi - 1156-1168 Generalized Scalar-on-Image Regression Models via Total Variation
by Xiao Wang & Hongtu Zhu - 1169-1181 A Functional Varying-Coefficient Single-Index Model for Functional Response Data
by Jialiang Li & Chao Huang & Zhub Hongtu - 1182-1198 Clustering Huge Number of Financial Time Series: A Panel Data Approach With High-Dimensional Predictors and Factor Structures
by Tomohiro Ando & Jushan Bai - 1199-1210 Generalized Additive Models for Gigadata: Modeling the U.K. Black Smoke Network Daily Data
by Simon N. Wood & Zheyuan Li & Gavin Shaddick & Nicole H. Augustin - 1211-1220 Robust Permutation Tests For Correlation And Regression Coefficients
by Cyrus J. DiCiccio & Joseph P. Romano - 1221-1235 Estimation in the Semiparametric Accelerated Failure Time Model With Missing Covariates: Improving Efficiency Through Augmentation
by Jon Arni Steingrimsson & Robert L. Strawderman - 1236-1249 Tukey -and- Random Fields
by Ganggang Xu & Marc G. Genton - 1250-1260 Semiparametric Inference in a Genetic Mixture Model
by Pengfei Li & Yukun Liu & Jing Qin - 1261-1273 Extrinsic Local Regression on Manifold-Valued Data
by Lizhen Lin & Brian St. Thomas & Hongtu Zhu & David B. Dunson - 1274-1285 Bayesian Calibration of Inexact Computer Models
by Matthew Plumlee - 1286-1295 Estimating Population Size With Link-Tracing Sampling
by Kyle Vincent & Steve Thompson - 1296-1310 An Effective Semiparametric Estimation Approach for the Sufficient Dimension Reduction Model
by Ming-Yueh Huang & Chin-Tsang Chiang - 1311-1322 On Theoretically Optimal Ranking Functions in Bipartite Ranking
by Kazuki Uematsu & Yoonkyung Lee - 1323-1333 Joint Selection in Mixed Models using Regularized PQL
by Francis K. C. Hui & Samuel Müller & A. H. Welsh - 1334-1343 Fixed- Asymptotic Inference About Tail Properties
by Ulrich K. Müller & Yulong Wang - 1344-1353 A Group-Specific Recommender System
by Xuan Bi & Annie Qu & Junhui Wang & Xiaotong Shen - 1354-1369 Two-Level Orthogonal Screening Designs With 24, 28, 32, and 36 Runs
by Eric D. Schoen & Nha Vo-Thanh & Peter Goos - 1370-1379 Book Reviews
by The Editors
April 2017, Volume 112, Issue 518
- 471-483 Bayesian Hierarchical Multi-Population Multistate Jolly–Seber Models With Covariates: Application to the Pallid Sturgeon Population Assessment Program
by Guohui Wu & Scott H. Holan - 484-496 A Simultaneous Equation Approach to Estimating HIV Prevalence With Nonignorable Missing Responses
by Giampiero Marra & Rosalba Radice & Till Bärnighausen & Simon N. Wood & Mark E. McGovern - 497-507 Modeling Spatial Covariance Using the Limiting Distribution of Spatio-Temporal Random Walks
by Ephraim M. Hanks - 508-520 Bayesian Phase I/II Biomarker-Based Dose Finding for Precision Medicine With Molecularly Targeted Agents
by Beibei Guo & Ying Yuan - 521-533 Landmark-Constrained Elastic Shape Analysis of Planar Curves
by Justin Strait & Sebastian Kurtek & Emily Bartha & Steven N. MacEachern - 534-546 Latent Class Survival Models Linked by Principal Stratification to Investigate Heterogenous Survival Subgroups Among Individuals With Early-Stage Kidney Cancer
by Brian L. Egleston & Robert G. Uzzo & Yu-Ning Wong - 547-560 Optimal Multilevel Matching in Clustered Observational Studies: A Case Study of the Effectiveness of Private Schools Under a Large-Scale Voucher System
by José R. Zubizarreta & Luke Keele - 561-577 A New Bayesian Test to Test for the Intractability-Countering Hypothesis
by Dalia Chakrabarty - 578-589 Basis Function Models for Animal Movement
by Mevin B. Hooten & Devin S. Johnson - 590-599 Instrumental Variable Methods for Conditional Effects and Causal Interaction in Voter Mobilization Experiments
by Matthew Blackwell - 600-612 Bayesian Estimation of Bipartite Matchings for Record Linkage
by Mauricio Sadinle - 613-622 Restoration of Monotonicity Respecting in Dynamic Regression
by Yijian Huang - 623-637 Independent Component Analysis via Distance Covariance
by David S. Matteson & Ruey S. Tsay - 638-649 Interactive -Learning for Quantiles
by Kristin A. Linn & Eric B. Laber & Leonard A. Stefanski - 650-663 Variable Screening via Quantile Partial Correlation
by Shujie Ma & Runze Li & Chih-Ling Tsai - 664-672 A Sieve Semiparametric Maximum Likelihood Approach for Regression Analysis of Bivariate Interval-Censored Failure Time Data
by Qingning Zhou & Tao Hu & Jianguo Sun - 673-682 Hierarchical Latin Hypercube Sampling
by Vikram V. Garg & Roy H. Stogner - 683-689 A Method of Constructing Space-Filling Orthogonal Designs
by Fasheng Sun & Boxin Tang - 690-705 Function-on-Function Linear Regression by Signal Compression
by Ruiyan Luo & Xin Qi - 706-720 Testing for Structural Breaks via Ordinal Pattern Dependence
by Alexander Schnurr & Herold Dehling - 721-732 Random Partition Distribution Indexed by Pairwise Information
by David B. Dahl & Ryan Day & Jerry W. Tsai - 733-744 A Bayesian Multivariate Functional Dynamic Linear Model
by Daniel R. Kowal & David S. Matteson & David Ruppert - 745-756 Evaluating Utility Measurement From Recurrent Marker Processes in the Presence of Competing Terminal Events
by Yifei Sun & Mei-Cheng Wang - 757-768 Simultaneous Inference for High-Dimensional Linear Models
by Xianyang Zhang & Guang Cheng - 769-778 Change-Plane Analysis for Subgroup Detection and Sample Size Calculation
by Ailin Fan & Rui Song & Wenbin Lu - 779-793 Sparse Multi-Dimensional Graphical Models: A Unified Bayesian Framework
by Yang Ni & Francesco C. Stingo & Veerabhadran Baladandayuthapani - 794-805 Joint Scale-Change Models for Recurrent Events and Failure Time
by Gongjun Xu & Sy Han Chiou & Chiung-Yu Huang & Mei-Cheng Wang & Jun Yan - 806-825 Fully Nonparametric Regression for Bounded Data Using Dependent Bernstein Polynomials
by Andrés F. Barrientos & Alejandro Jara & Fernando A. Quintana - 826-836 Nonparametric Benefit–Risk Assessment Using Marker Process in the Presence of a Terminal Event
by Yifei Sun & Chiung-Yu Huang & Mei-Cheng Wang - 837-849 Accumulation Tests for FDR Control in Ordered Hypothesis Testing
by Ang Li & Rina Foygel Barber - 850-858 Estimation Under Cross-Classified Sampling With Application to a Childhood Survey
by Hélène Juillard & Guillaume Chauvet & Anne Ruiz-Gazen - 859-877 Variational Inference: A Review for Statisticians
by David M. Blei & Alp Kucukelbir & Jon D. McAuliffe - 878-882 Book Reviews
by The Editors - 883-883 Correction
by Sokbae Lee & Myung Hwan Seo & Youngki Shin
January 2017, Volume 112, Issue 517
- 1-10 On the Reproducibility of Psychological Science
by Valen E. Johnson & Richard D. Payne & Tianying Wang & Alex Asher & Soutrik Mandal - 11-23 Robust Treatment Comparison Based on Utilities of Semi-Competing Risks in Non-Small-Cell Lung Cancer
by Thomas A. Murray & Peter F. Thall & Ying Yuan & Sarah McAvoy & Daniel R. Gomez - 24-36 A Directional Mixed Effects Model for Compositional Expenditure Data
by J. L. Scealy & A. H. Welsh - 37-53 Bayesian Treed Calibration: An Application to Carbon Capture With AX Sorbent
by Bledar A. Konomi & Georgios Karagiannis & Kevin Lai & Guang Lin - 54-63 Defining Cancer Subtypes With Distinctive Etiologic Profiles: An Application to the Epidemiology of Melanoma
by Audrey Mauguen & Emily C. Zabor & Nancy E. Thomas & Marianne Berwick & Venkatraman E. Seshan & Colin B. Begg - 64-76 The Generalized Higher Criticism for Testing SNP-Set Effects in Genetic Association Studies
by Ian Barnett & Rajarshi Mukherjee & Xihong Lin - 77-91 A Bayesian Race Model for Recognition Memory
by Sungmin Kim & Kevin Potter & Peter F. Craigmile & Mario Peruggia & Trisha Van Zandt - 92-108 Spatiotemporal Modeling of Node Temperatures in Supercomputers
by Curtis B. Storlie & Brian J. Reich & William N. Rust & Lawrence O. Ticknor & Amanda M. Bonnie & Andrew J. Montoya & Sarah E. Michalak - 109-126 A Framework for Synthetic Control Methods With High-Dimensional, Micro-Level Data: Evaluating a Neighborhood-Specific Crime Intervention
by Michael W. Robbins & Jessica Saunders & Beau Kilmer - 127-136 Forecasting Generalized Quantiles of Electricity Demand: A Functional Data Approach
by Brenda López Cabrera & Franziska Schulz - 137-168 Fast Approximate Inference for Arbitrarily Large Semiparametric Regression Models via Message Passing
by M. P. Wand - 156-158 Comment
by Dustin Tran & David M. Blei - 158-161 Comment
by Wanzhu Tu - 161-164 Comment
by Philip T. Reiss & Jeff Goldsmith - 164-166 Comment
by Simon N. Wood - 166-168 Rejoinder
by M. P. Wand - 169-187 Residual Weighted Learning for Estimating Individualized Treatment Rules
by Xin Zhou & Nicole Mayer-Hamblett & Umer Khan & Michael R. Kosorok - 188-200 Weighted Statistic in Detecting Faint and Sparse Alternatives for High-Dimensional Covariance Matrices
by Qing Yang & Guangming Pan - 201-214 A Multi-Resolution Approximation for Massive Spatial Datasets
by Matthias Katzfuss - 215-234 Dynamic Multiscale Spatiotemporal Models for Poisson Data
by Thaís C. O. Fonseca & Marco A. R. Ferreira - 235-253 A Dynamic Structure for High-Dimensional Covariance Matrices and Its Application in Portfolio Allocation
by Shaojun Guo & John Leigh Box & Wenyang Zhang - 254-265 Nonlocal Priors for High-Dimensional Estimation
by David Rossell & Donatello Telesca - 266-281 Covariance Regression Analysis
by Tao Zou & Wei Lan & Hansheng Wang & Chih-Ling Tsai - 282-299 Partition MCMC for Inference on Acyclic Digraphs
by Jack Kuipers & Giusi Moffa - 300-313 Augmented Particle Filters
by Jonghyun Yun & Fan Yang & Yuguo Chen - 314-320 Conditions for Ignoring the Missing-Data Mechanism in Likelihood Inferences for Parameter Subsets
by Roderick J. Little & Donald B. Rubin & Sahar Z. Zangeneh - 321-331 Randomization Inference and Sensitivity Analysis for Composite Null Hypotheses With Binary Outcomes in Matched Observational Studies
by Colin B. Fogarty & Pixu Shi & Mark E. Mikkelsen & Dylan S. Small - 332-341 Robust Jump Regressions
by Jia Li & Viktor Todorov & George Tauchen - 342-350 Promoting Similarity of Sparsity Structures in Integrative Analysis With Penalization
by Yuan Huang & Qingzhao Zhang & Sanguo Zhang & Jian Huang & Shuangge Ma - 351-362 Semiparametric Modeling and Estimation of the Terminal Behavior of Recurrent Marker Processes Before Failure Events
by Kwun Chuen Gary Chan & Mei-Cheng Wang - 363-383 Geometric Representations of Random Hypergraphs
by Simón Lunagómez & Sayan Mukherjee & Robert L. Wolpert & Edoardo M. Airoldi - 384-396 Nonparametric Estimation of the Leverage Effect: A Trade-Off Between Robustness and Efficiency
by Ilze Kalnina & Dacheng Xiu - 397-409 A New Graph-Based Two-Sample Test for Multivariate and Object Data
by Hao Chen & Jerome H. Friedman - 410-423 A Concave Pairwise Fusion Approach to Subgroup Analysis
by Shujie Ma & Jian Huang - 424-435 Shrinkage Estimation for Multivariate Hidden Markov Models
by Mark Fiecas & Jürgen Franke & Rainer von Sachs & Joseph Tadjuidje Kamgaing - 436-445 Robust Maximum Association Estimators
by Andreas Alfons & Christophe Croux & Peter Filzmoser - 446-456 Cluster-Robust Bootstrap Inference in Quantile Regression Models
by Andreas Hagemann - 457-464 Book Reviews
by The Editors - 465-465 Correction
by The Editors - 466-469 Correction
by The Editors
October 2016, Volume 111, Issue 516
- 1-1 Editorial Board EOV
by The Editors - 1373-1380 Appreciating Statistics
by Jessica Utts - 1381-1403 Improving and Evaluating Topic Models and Other Models of Text
by Edoardo M. Airoldi & Jonathan M. Bischof - 1403-1405 Comment
by Matt Taddy - 1405-1408 Comment
by Aleksandrina Goeva & Eric D. Kolaczyk - 1408-1410 Comment
by David M. Blei - 1410-1412 Rejoinder
by Edoardo M. Airoldi - 1413-1426 Model Comparison and Assessment for Single Particle Tracking in Biological Fluids
by Martin Lysy & Natesh S. Pillai & David B. Hill & M. Gregory Forest & John W. R. Mellnik & Paula A. Vasquez & Scott A. McKinley - 1427-1439 Hierarchical Feature Selection Incorporating Known and Novel Biological Information: Identifying Genomic Features Related to Prostate Cancer Recurrence
by Yize Zhao & Matthias Chung & Brent A. Johnson & Carlos S. Moreno & Qi Long - 1440-1453 Modeling the Evolution of Dynamic Brain Processes During an Associative Learning Experiment
by Mark Fiecas & Hernando Ombao - 1454-1465 Bayesian Methods for Nonignorable Dropout in Joint Models in Smoking Cessation Studies
by J. T. Gaskins & M. J. Daniels & B. H. Marcus - 1466-1479 Multiple Imputation of Missing Categorical and Continuous Values via Bayesian Mixture Models With Local Dependence
by Jared S. Murray & Jerome P. Reiter - 1480-1490 Low SNR in Diffusion MRI Models
by Jörg Polzehl & Karsten Tabelow - 1491-1508 Localizing Temperature Risk
by Wolfgang Karl Härdle & Brenda López Cabrera & Ostap Okhrin & Weining Wang - 1509-1521 Personalized Dose Finding Using Outcome Weighted Learning
by Guanhua Chen & Donglin Zeng & Michael R. Kosorok - 1521-1524 Comment
by Tianxi Cai & Lu Tian - 1524-1525 Comment
by Jun Fan & Ming Yuan - 1526-1530 Comment
by Alexander R. Luedtke & Mark J. van der Laan - 1530-1534 Comment
by Michael P. Wallace & Erica E. M. Moodie & David A. Stephens - 1534-1537 Comment
by Elizabeth L. Ogburn - 1538-1541 Comment
by Min Qian - 1541-1542 Comment
by Michael Rosenblum - 1543-1547 Rejoinder
by Guanhua Chen & Donglin Zeng & Michael R. Kosorok - 1548-1563 Smoothing Parameter and Model Selection for General Smooth Models
by Simon N. Wood & Natalya Pya & Benjamin Säfken - 1563-1565 Comment
by Thomas Kneib - 1565-1568 Comment
by Thomas W. Yee - 1568-1573 Comment
by Sonja Greven & Fabian Scheipl - 1573-1575 Rejoinder
by Simon N. Wood & Natalya Pya & Benjamin Säfken - 1576-1590 Using Ranked Set Sampling With Cluster Randomized Designs for Improved Inference on Treatment Effects
by Xinlei Wang & Johan Lim & Lynne Stokes - 1591-1607 Accelerating Asymptotically Exact MCMC for Computationally Intensive Models via Local Approximations
by Patrick R. Conrad & Youssef M. Marzouk & Natesh S. Pillai & Aaron Smith - 1608-1622 Fast Bayesian Factor Analysis via Automatic Rotations to Sparsity
by Veronika Ročková & Edward I. George - 1623-1633 Modeling Probability Forecasts via Information Diversity
by Ville A. Satopää & Robin Pemantle & Lyle H. Ungar - 1634-1647 Inference for Monotone Functions Under Short- and Long-Range Dependence: Confidence Intervals and New Universal Limits
by Pramita Bagchi & Moulinath Banerjee & Stilian A. Stoev - 1648-1659 Robust Improper Maximum Likelihood: Tuning, Computation, and a Comparison With Other Methods for Robust Gaussian Clustering
by Pietro Coretto & Christian Hennig - 1660-1672 A Bayesian Approach to Graphical Record Linkage and Deduplication
by Rebecca C. Steorts & Rob Hall & Stephen E. Fienberg - 1673-1683 Identifiability of Normal and Normal Mixture Models with Nonignorable Missing Data
by Wang Miao & Peng Ding & Zhi Geng - 1684-1695 Testing the Predictor Effect on a Functional Response
by Valentin Patilea & César Sánchez-Sellero & Matthieu Saumard - 1696-1704 On SURE-Type Double Shrinkage Estimation
by Bing-Yi Jing & Zhouping Li & Guangming Pan & Wang Zhou - 1705-1714 Extremal Depth for Functional Data and Applications
by Naveen N. Narisetty & Vijayan N. Nair - 1715-1725 Statistical Matching Analysis for Complex Survey Data With Applications
by Pier Luigi Conti & Daniela Marella & Mauro Scanu - 1726-1735 Multitask Quantile Regression Under the Transnormal Model
by Jianqing Fan & Lingzhou Xue & Hui Zou - 1736-1745 A Link Between the -Value and the Robustness of Block Designs
by J. D. Godolphin - 1746-1763 Sparse Approximate Inference for Spatio-Temporal Point Process Models
by Botond Cseke & Andrew Zammit-Mangion & Tom Heskes & Guido Sanguinetti - 1764-1774 Composite Robust Estimators for Linear Mixed Models
by Claudio Agostinelli & Víctor J. Yohai - 1775-1790 Optimal Model Averaging Estimation for Generalized Linear Models and Generalized Linear Mixed-Effects Models
by Xinyu Zhang & Dalei Yu & Guohua Zou & Hua Liang - 1791-1803 Bayesian Nonparametric Modeling of Higher Order Markov Chains
by Abhra Sarkar & David B. Dunson - 1804-1819 Panel Data Models With Interactive Fixed Effects and Multiple Structural Breaks
by Degui Li & Junhui Qian & Liangjun Su - 1820-1830 Sensitivity Analysis for Multiple Comparisons in Matched Observational Studies Through Quadratically Constrained Linear Programming
by Colin B. Fogarty & Dylan S. Small - 1831-1839 Matching and Weighting With Functions of Error-Prone Covariates for Causal Inference
by J. R. Lockwood & Daniel F. McCaffrey - 1840-1851 Book Reviews
by The Editors - 1852-1852 Correction
by The Editors - 1853-1861 Editorial Collaborators
by The Editors
July 2016, Volume 111, Issue 515
- 921-950 Bayesian Nonparametric Estimation for Dynamic Treatment Regimes With Sequential Transition Times
by Yanxun Xu & Peter Müller & Abdus S. Wahed & Peter F. Thall - 936-942 Comment
by Qian Guan & Eric B. Laber & Brian J. Reich - 942-947 Comment
by Jingxiang Chen & Yufeng Liu & Donglin Zeng & Rui Song & Yingqi Zhao & Michael R. Kosorok - 947-948 Comment
by Lorenzo Trippa & Giovanni Parmigiani