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Content
January 2017, Volume 112, Issue 517
- 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 - 948-950 Rejoinder
by Yanxun Xu & Peter Müller & Abdus S. Wahed & Peter Thall - 951-966 Analyzing Single-Molecule Protein Transportation Experiments via Hierarchical Hidden Markov Models
by Yang Chen & Kuang Shen & Shu-Ou Shan & S. C. Kou - 967-987 Template-Based Models for Genome-Wide Analysis of Next-Generation Sequencing Data at Base-Pair Resolution
by Alexander W. Blocker & Edoardo M. Airoldi - 988-1003 A Model of Text for Experimentation in the Social Sciences
by Margaret E. Roberts & Brandon M. Stewart & Edoardo M. Airoldi - 1004-1019 Estimation of Directed Acyclic Graphs Through Two-Stage Adaptive Lasso for Gene Network Inference
by Sung Won Han & Gong Chen & Myun-Seok Cheon & Hua Zhong - 1020-1035 Detecting and Localizing Differences in Functional Time Series Dynamics: A Case Study in Molecular Biophysics
by Shahin Tavakoli & Victor M. Panaretos - 1036-1049 Probabilistic Cause-of-Death Assignment Using Verbal Autopsies
by Tyler H. McCormick & Zehang Richard Li & Clara Calvert & Amelia C. Crampin & Kathleen Kahn & Samuel J. Clark - 1050-1060 Parameterization of White Matter Manifold-Like Structures Using Principal Surfaces
by Chen Yue & Vadim Zipunnikov & Pierre-Louis Bazin & Dzung Pham & Daniel Reich & Ciprian Crainiceanu & Brian Caffo - 1061-1074 A Longitudinal Mixed Logit Model for Estimation of Push and Pull Effects in Residential Location Choice
by Fiona Steele & Elizabeth Washbrook & Christopher Charlton & William J. Browne - 1075-1095 Hierarchical Models for Semicompeting Risks Data With Application to Quality of End-of-Life Care for Pancreatic Cancer
by Kyu Ha Lee & Francesca Dominici & Deborah Schrag & Sebastien Haneuse - 1096-1120 Model-Based Geostatistics for Prevalence Mapping in Low-Resource Settings
by Peter J. Diggle & Emanuele Giorgi - 1108-1110 Comment
by Leonhard Held & Stefanie Muff - 1110-1111 Comment
by Paula Moraga - 1111-1118 Comment: Getting into Space with a Weight Problem
by Jon Wakefield & Daniel Simpson & Jessica Godwin - 1119-1120 Rejoinder
by Peter J. Diggle & Emanuele Giorgi - 1121-1131 Generalized Dynamic Principal Components
by Daniel Peña & Victor J. Yohai - 1132-1143 Fast Estimation of Regression Parameters in a Broken-Stick Model for Longitudinal Data
by Ritabrata Das & Moulinath Banerjee & Bin Nan & Huiyong Zheng - 1144-1156 Priors for Random Count Matrices Derived from a Family of Negative Binomial Processes
by Mingyuan Zhou & Oscar Hernan Madrid Padilla & James G. Scott - 1157-1167 Constructed Second Control Groups and Attenuation of Unmeasured Biases
by Samuel D. Pimentel & Dylan S. Small & Paul R. Rosenbaum - 1168-1181 Bayesian Nonparametric Longitudinal Data Analysis
by Fernando A. Quintana & Wesley O. Johnson & L. Elaine Waetjen & Ellen B. Gold - 1182-1195 Brownian Integrated Covariance Functions for Gaussian Process Modeling: Sigmoidal Versus Localized Basis Functions
by Ning Zhang & Daniel W. Apley - 1196-1207 Dynamic Covariance Models
by Ziqi Chen & Chenlei Leng - 1209-1221 Forward Variable Selection for Sparse Ultra-High Dimensional Varying Coefficient Models
by Ming-Yen Cheng & Toshio Honda & Jin-Ting Zhang - 1222-1232 A Subsampled Double Bootstrap for Massive Data
by Srijan Sengupta & Stanislav Volgushev & Xiaofeng Shao - 1233-1241 Coverage Inducing Priors in Nonstandard Inference Problems
by Ulrich K. Müller & Andriy Norets - 1242-1253 Classification With Unstructured Predictors and an Application to Sentiment Analysis
by Junhui Wang & Xiaotong Shen & Yiwen Sun & Annie Qu - 1254-1265 Stabilized Nearest Neighbor Classifier and its Statistical Properties
by Will Wei Sun & Xingye Qiao & Guang Cheng - 1266-1277 Conditional Sure Independence Screening
by Emre Barut & Jianqing Fan & Anneleen Verhasselt - 1278-1288 Graphical Procedures for Multiple Comparisons Under General Dependence
by Christopher J. Bennett & Brennan S. Thompson - 1289-1300 Joint Inference for Competing Risks Survival Data
by Gang Li & Qing Yang - 1301-1312 Analysis of Proportional Odds Models With Censoring and Errors-in-Covariates
by Samiran Sinha & Yanyuan Ma - 1313-1329 Sufficient Reductions in Regressions With Exponential Family Inverse Predictors
by Efstathia Bura & Sabrina Duarte & Liliana Forzani - 1330-1345 How Much Information Does Dependence Between Wavelet Coefficients Contain?
by Carsten Jentsch & Claudia Kirch - 1346-1361 Generalized Fiducial Inference: A Review and New Results
by Jan Hannig & Hari Iyer & Randy C. S. Lai & Thomas C. M. Lee - 1362-1369 Book Reviews
by The Editors - 1370-1371 Correction to Jin-Ting Zhang’s “Approximate and Asymptotic Distributions of Chi-Squared-Type Mixtures With Applications’’
by Wouter Duivesteijn
April 2016, Volume 111, Issue 514
- 447-458 Discrete Optimization for Interpretable Study Populations and Randomization Inference in an Observational Study of Severe Sepsis Mortality
by Colin B. Fogarty & Mark E. Mikkelsen & David F. Gaieski & Dylan S. Small - 459-471 A Dynamic Bayesian Model for Characterizing Cross-Neuronal Interactions During Decision-Making
by Bo Zhou & David E. Moorman & Sam Behseta & Hernando Ombao & Babak Shahbaba - 472-487 Bayesian Spatial Change of Support for Count-Valued Survey Data With Application to the American Community Survey
by Jonathan R. Bradley & Christopher K. Wikle & Scott H. Holan - 488-499 Detection of Infectious Disease Outbreaks From Laboratory Data With Reporting Delays
by Angela Noufaily & Paddy Farrington & Paul Garthwaite & Doyo Gragn Enki & Nick Andrews & Andre Charlett - 500-509 Calibrating Functional Parameters in the Ion Channel Models of Cardiac Cells
by Matthew Plumlee & V. Roshan Joseph & Hui Yang - 510-525 Identification and Estimation of Causal Mechanisms in Clustered Encouragement Designs: Disentangling Bed Nets Using Bayesian Principal Stratification
by Laura Forastiere & Fabrizia Mealli & Tyler J. VanderWeele - 526-537 Using Binary Paradata to Correct for Measurement Error in Survey Data Analysis
by Damião Nóbrega Da Silva & Chris Skinner & Jae Kwang Kim - 538-548 Joint Estimation of Treatment and Placebo Effects in Clinical Trials With Longitudinal Blinding Assessments
by Wei Liu & Zhiwei Zhang & R. Jason Schroeder & Martin Ho & Bo Zhang & Cynthia Long & Hui Zhang & Telba Z. Irony - 549-563 Understanding the Impact of Stroke on Brain Motor Function: A Hierarchical Bayesian Approach
by Zhe Yu & Raquel Prado & Erin Burke Quinlan & Steven C. Cramer & Hernando Ombao - 564-584 Modeling E-mail Networks and Inferring Leadership Using Self-Exciting Point Processes
by Eric W. Fox & Martin B. Short & Frederic P. Schoenberg & Kathryn D. Coronges & Andrea L. Bertozzi - 585-599 A Multiresolution Stochastic Process Model for Predicting Basketball Possession Outcomes
by Daniel Cervone & Alex D’Amour & Luke Bornn & Kirk Goldsberry - 600-620 Exact Post-Selection Inference for Sequential Regression Procedures
by Ryan J. Tibshirani & Jonathan Taylor & Richard Lockhart & Robert Tibshirani - 614-617 Comment
by Lawrence D. Brown & Kory D. Johnson - 618-620 Rejoinder
by Ryan J. Tibshirani & Jonathan Taylor & Richard Lockhart & Robert Tibshirani - 621-633 Structured Matrix Completion with Applications to Genomic Data Integration
by Tianxi Cai & T. Tony Cai & Anru Zhang - 634-645 The Controlled Thermodynamic Integral for Bayesian Model Evidence Evaluation
by Chris J. Oates & Theodore Papamarkou & Mark Girolami - 646-655 Empirical Likelihood for Right Censored Lifetime Data
by Shuyuan He & Wei Liang & Junshan Shen & Grace Yang - 656-669 Bayesian Conditional Tensor Factorizations for High-Dimensional Classification
by Yun Yang & David B. Dunson - 670-683 A General Regression Changepoint Test for Time Series Data
by Michael W. Robbins & Colin M. Gallagher & Robert B. Lund - 684-695 A Class of Functional Methods for Error-Contaminated Survival Data Under Additive Hazards Models with Replicate Measurements
by Ying Yan & Grace Y. Yi - 696-706 Simultaneous Sparse Estimation of Canonical Vectors in the ≫ Setting
by Irina Gaynanova & James G. Booth & Martin T. Wells - 707-720 Sparse Regression Incorporating Graphical Structure Among Predictors
by Guan Yu & Yufeng Liu - 721-735 Multivariate-Sign-Based High-Dimensional Tests for the Two-Sample Location Problem
by Long Feng & Changliang Zou & Zhaojun Wang - 736-747 Generalized Quasi-Likelihood Ratio Tests for Semiparametric Analysis of Covariance Models in Longitudinal Data
by Jin Tang & Yehua Li & Yongtao Guan - 748-762 Approximations of the Optimal Importance Density Using Gaussian Particle Flow Importance Sampling
by Pete Bunch & Simon Godsill - 763-771 Robust Orthogonal Complement Principal Component Analysis
by Yiyuan She & Shijie Li & Dapeng Wu - 772-786 Functional CAR Models for Large Spatially Correlated Functional Datasets
by Lin Zhang & Veerabhadran Baladandayuthapani & Hongxiao Zhu & Keith A. Baggerly & Tadeusz Majewski & Bogdan A. Czerniak & Jeffrey S. Morris - 787-799 Efficient Estimation of the Cox Model with Auxiliary Subgroup Survival Information
by Chiung-Yu Huang & Jing Qin & Huei-Ting Tsai - 800-812 Hierarchical Nearest-Neighbor Gaussian Process Models for Large Geostatistical Datasets
by Abhirup Datta & Sudipto Banerjee & Andrew O. Finley & Alan E. Gelfand - 813-821 Trace Pursuit: A General Framework for Model-Free Variable Selection
by Zhou Yu & Yuexiao Dong & Li-Xing Zhu - 822-833 Nonparametric Variance Estimation Under Fine Stratification: An Alternative to Collapsed Strata
by F. Jay Breidt & Jean D. Opsomer & Ismael Sanchez-Borrego - 834-845 Convex Banding of the Covariance Matrix
by Jacob Bien & Florentina Bunea & Luo Xiao - 846-860 Fast, Exact Bootstrap Principal Component Analysis for > 1 Million
by Aaron Fisher & Brian Caffo & Brian Schwartz & Vadim Zipunnikov - 861-874 Using a Monotonic Density Ratio Model to Find the Asymptotically Optimal Combination of Multiple Diagnostic Tests
by Baojiang Chen & Pengfei Li & Jing Qin & Tao Yu - 875-887 Active Clinical Trials for Personalized Medicine
by Stanislav Minsker & Ying-Qi Zhao & Guang Cheng - 888-898 Spatio-Temporal Covariance and Cross-Covariance Functions of the Great Circle Distance on a Sphere
by Emilio Porcu & Moreno Bevilacqua & Marc G. Genton - 899-911 I-Optimal Design of Mixture Experiments
by Peter Goos & Bradley Jones & Utami Syafitri - 912-919 Book Reviews
by The Editors
March 2016, Volume 111, Issue 513
- 1-13 A Functional Approach to Deconvolve Dynamic Neuroimaging Data
by Ci-Ren Jiang & John A. D. Aston & Jane-Ling Wang - 14-26 A Bayesian Partial Identification Approach to Inferring the Prevalence of Accounting Misconduct
by P. Richard Hahn & Jared S. Murray & Ioanna Manolopoulou - 27-42 Meta-Analytic Framework for Sparse K -Means to Identify Disease Subtypes in Multiple Transcriptomic Studies
by Zhiguang Huo & Ying Ding & Silvia Liu & Steffi Oesterreich & George Tseng - 43-56 Collective Estimation of Multiple Bivariate Density Functions With Application to Angular-Sampling-Based Protein Loop Modeling
by Mehdi Maadooliat & Lan Zhou & Seyed Morteza Najibi & Xin Gao & Jianhua Z. Huang - 57-72 Calibrating an Ice Sheet Model Using High-Dimensional Binary Spatial Data
by Won Chang & Murali Haran & Patrick Applegate & David Pollard - 73-92 Perturbation Detection Through Modeling of Gene Expression on a Latent Biological Pathway Network: A Bayesian Hierarchical Approach
by Lisa M. Pham & Luis Carvalho & Scott Schaus & Eric D. Kolaczyk - 93-106 A Model-Based Approach to Climate Reconstruction Using Tree-Ring Data
by Matthew R. Schofield & Richard J. Barker & Andrew Gelman & Edward R. Cook & Keith R. Briffa - 107-117 Constrained Maximum Likelihood Estimation for Model Calibration Using Summary-Level Information From External Big Data Sources
by Nilanjan Chatterjee & Yi-Hau Chen & Paige Maas & Raymond J. Carroll - 118-121 Comment
by Peisong Han & Jerald F. Lawless - 121-122 Comment
by Sebastien Haneuse & Claudia Rivera - 123-124 Comment
by Thomas A. Louis & Niels Keiding - 124-127 Comment: A Human Genetics Perspective
by Joel A. Mefford & Noah A. Zaitlen & John S. Witte - 127-129 Comment: Addressing the Need for Portability in Big Data Model Building and Calibration
by Chirag J. Patel & Francesca Dominici - 130-131 Rejoinder
by Nilanjan Chatterjee & Yi-Hau Chen & Paige Maas & Raymond J. Carroll - 132-144 Instrumental Variables Estimation With Some Invalid Instruments and its Application to Mendelian Randomization
by Hyunseung Kang & Anru Zhang & T. Tony Cai & Dylan S. Small - 145-156 Generalizing Quantile Regression for Counting Processes With Applications to Recurrent Events
by Xiaoyan Sun & Limin Peng & Yijian Huang & HuiChuan J. Lai - 157-168 A Potential Tale of Two-by-Two Tables From Completely Randomized Experiments
by Peng Ding & Tirthankar Dasgupta - 169-179 Ultrahigh-Dimensional Multiclass Linear Discriminant Analysis by Pairwise Sure Independence Screening
by Rui Pan & Hansheng Wang & Runze Li - 180-199 Constrained Estimators and Consistency of a Regression Model on a Lexis Diagram
by Wenjiang Fu - 200-215 Statistical Inference in Hidden Markov Models Using k -Segment Constraints
by Michalis K. Titsias & Christopher C. Holmes & Christopher Yau - 216-228 Pairwise Likelihood Inference for Nested Hidden Markov Chain Models for Multilevel Longitudinal Data
by Francesco Bartolucci & Monia Lupparelli - 229-240 Large-Scale Multiple Testing of Correlations
by T. Tony Cai & Weidong Liu - 241-252 Personalized Prediction and Sparsity Pursuit in Latent Factor Models
by Yunzhang Zhu & Xiaotong Shen & Changqing Ye - 253-265 Minimax and Adaptive Estimation of Covariance Operator for Random Variables Observed on a Lattice Graph
by T. Tony Cai & Ming Yuan - 266-274 Estimation and Testing of Varying Coefficients in Quantile Regression
by Xingdong Feng & Liping Zhu - 275-287 Feature Augmentation via Nonparametrics and Selection (FANS) in High-Dimensional Classification
by Jianqing Fan & Yang Feng & Jiancheng Jiang & Xin Tong - 288-297 Spline-Lasso in High-Dimensional Linear Regression
by Jianhua Guo & Jianchang Hu & Bing-Yi Jing & Zhen Zhang - 298-313 Efficient Sequential Monte Carlo With Multiple Proposals and Control Variates
by Wentao Li & Rong Chen & Zhiqiang Tan - 314-330 Stepwise Signal Extraction via Marginal Likelihood
by Chao Du & Chu-Lan Michael Kao & S. C. Kou - 331-343 Hierarchical Testing in the High-Dimensional Setting With Correlated Variables
by Jacopo Mandozzi & Peter Bühlmann - 344-354 Quantile Regression in the Secondary Analysis of Case--Control Data
by Ying Wei & Xiaoyu Song & Mengling Liu & Iuliana Ionita-Laza & Joan Reibman - 355-376 Variable Selection With Prior Information for Generalized Linear Models via the Prior LASSO Method
by Yuan Jiang & Yunxiao He & Heping Zhang - 377-393 An Adaptive Exchange Algorithm for Sampling From Distributions With Intractable Normalizing Constants
by Faming Liang & Ick Hoon Jin & Qifan Song & Jun S. Liu - 394-406 Asymptotically Normal and Efficient Estimation of Covariate-Adjusted Gaussian Graphical Model
by Mengjie Chen & Zhao Ren & Hongyu Zhao & Harrison Zhou - 407-422 Estimating Variance Components in Functional Linear Models With Applications to Genetic Heritability
by Matthew Reimherr & Dan Nicolae - 423-437 Extended MaxT Tests of One-Sided Hypotheses
by Zeng-Hua Lu
December 2015, Volume 110, Issue 512
- 1325-1330 Statistics: Making Better Decisions
by David Morganstein - 1331-1344 Wanna Get Away? Regression Discontinuity Estimation of Exam School Effects Away From the Cutoff
by Joshua D. Angrist & Miikka Rokkanen - 1345-1347 Comment
by Michael G. Hudgens - 1347-1348 Comment
by Thomas Lemieux - 1348-1349 Rejoinder
by Joshua D. Angrist & Miikka Rokkanen - 1350-1361 Bayesian Partition Models for Identifying Expression Quantitative Trait Loci
by Bo Jiang & Jun S. Liu - 1362-1374 Bayesian Phylogenetic Inference Using a Combinatorial Sequential Monte Carlo Method
by Liangliang Wang & Alexandre Bouchard-Côté & Arnaud Doucet - 1375-1388 Temporal Autocorrelation-Based Beamforming With MEG Neuroimaging Data
by Jian Zhang & Li Su - 1389-1398 Some Counterclaims Undermine Themselves in Observational Studies
by Paul R. Rosenbaum - 1399-1411 Randomized Controlled Field Trials of Predictive Policing
by G. O. Mohler & M. B. Short & Sean Malinowski & Mark Johnson & G. E. Tita & Andrea L. Bertozzi & P. J. Brantingham - 1412-1421 Rerandomization to Balance Tiers of Covariates
by Kari Lock Morgan & Donald B. Rubin - 1422-1433 An Adaptive Resampling Test for Detecting the Presence of Significant Predictors
by Ian W. McKeague & Min Qian - 1434-1438 Comment
by A. Chatterjee & S. N. Lahiri - 1439-1442 Comment
by Rajen D. Shah & Richard J. Samworth - 1442-1445 Comment
by Emre Barut & Huixia Judy Wang - 1446-1449 Comment
by Lawrence D. Brown & Daniel McCarthy - 1449-1451 Comment
by Alexandre Belloni & Victor Chernozhukov