Journal of the American Statistical Association

2008 - 2024

Continuation of Journal of the American Statistical Association.

Current editor(s): Xuming He, Jun Liu, Joseph Ibrahim and Alyson Wilson

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Volume 111, issue 516, 2016

Appreciating Statistics pp. 1373-1380

Jessica Utts

Improving and Evaluating Topic Models and Other Models of Text pp. 1381-1403

Edoardo M. Airoldi and Jonathan M. Bischof

Comment pp. 1403-1405

Matt Taddy

Comment pp. 1405-1408

Aleksandrina Goeva and Eric D. Kolaczyk

Comment pp. 1408-1410

David M. Blei

Rejoinder pp. 1410-1412

Edoardo M. Airoldi

Model Comparison and Assessment for Single Particle Tracking in Biological Fluids pp. 1413-1426

Martin Lysy, Natesh S. Pillai, David B. Hill, M. Gregory Forest, John W. R. Mellnik, Paula A. Vasquez and Scott A. McKinley

Hierarchical Feature Selection Incorporating Known and Novel Biological Information: Identifying Genomic Features Related to Prostate Cancer Recurrence pp. 1427-1439

Yize Zhao, Matthias Chung, Brent A. Johnson, Carlos S. Moreno and Qi Long

Modeling the Evolution of Dynamic Brain Processes During an Associative Learning Experiment pp. 1440-1453

Mark Fiecas and Hernando Ombao

Bayesian Methods for Nonignorable Dropout in Joint Models in Smoking Cessation Studies pp. 1454-1465

J. T. Gaskins, M. J. Daniels and B. H. Marcus

Multiple Imputation of Missing Categorical and Continuous Values via Bayesian Mixture Models With Local Dependence pp. 1466-1479

Jared S. Murray and Jerome P. Reiter

Low SNR in Diffusion MRI Models pp. 1480-1490

Jörg Polzehl and Karsten Tabelow

Localizing Temperature Risk pp. 1491-1508

Wolfgang Härdle, Brenda López Cabrera, Ostap Okhrin and Weining Wang

Personalized Dose Finding Using Outcome Weighted Learning pp. 1509-1521

Guanhua Chen, Donglin Zeng and Michael R. Kosorok

Comment pp. 1521-1524

Tianxi Cai and Lu Tian

Comment pp. 1524-1525

Jun Fan and Ming Yuan

Comment pp. 1526-1530

Alexander R. Luedtke and Mark J. van der Laan

Comment pp. 1530-1534

Michael P. Wallace, Erica E. M. Moodie and David A. Stephens

Comment pp. 1534-1537

Elizabeth L. Ogburn

Comment pp. 1538-1541

Min Qian

Comment pp. 1541-1542

Michael Rosenblum

Rejoinder pp. 1543-1547

Guanhua Chen, Donglin Zeng and Michael R. Kosorok

Smoothing Parameter and Model Selection for General Smooth Models pp. 1548-1563

Simon N. Wood, Natalya Pya and Benjamin Säfken

Comment pp. 1563-1565

Thomas Kneib

Comment pp. 1565-1568

Thomas W. Yee

Comment pp. 1568-1573

Sonja Greven and Fabian Scheipl

Rejoinder pp. 1573-1575

Simon N. Wood, Natalya Pya and Benjamin Säfken

Using Ranked Set Sampling With Cluster Randomized Designs for Improved Inference on Treatment Effects pp. 1576-1590

Xinlei Wang, Johan Lim and Lynne Stokes

Accelerating Asymptotically Exact MCMC for Computationally Intensive Models via Local Approximations pp. 1591-1607

Patrick R. Conrad, Youssef M. Marzouk, Natesh S. Pillai and Aaron Smith

Fast Bayesian Factor Analysis via Automatic Rotations to Sparsity pp. 1608-1622

Veronika Ročková and Edward I. George

Modeling Probability Forecasts via Information Diversity pp. 1623-1633

Ville A. Satopää, Robin Pemantle and Lyle H. Ungar

Inference for Monotone Functions Under Short- and Long-Range Dependence: Confidence Intervals and New Universal Limits pp. 1634-1647

Pramita Bagchi, Moulinath Banerjee and Stilian A. Stoev

Robust Improper Maximum Likelihood: Tuning, Computation, and a Comparison With Other Methods for Robust Gaussian Clustering pp. 1648-1659

Pietro Coretto and Christian Hennig

A Bayesian Approach to Graphical Record Linkage and Deduplication pp. 1660-1672

Rebecca C. Steorts, Rob Hall and Stephen E. Fienberg

Identifiability of Normal and Normal Mixture Models with Nonignorable Missing Data pp. 1673-1683

Wang Miao, Peng Ding and Zhi Geng

Testing the Predictor Effect on a Functional Response pp. 1684-1695

Valentin Patilea, César Sánchez-Sellero and Matthieu Saumard

On SURE-Type Double Shrinkage Estimation pp. 1696-1704

Bing-Yi Jing, Zhouping Li, Guangming Pan and Wang Zhou

Extremal Depth for Functional Data and Applications pp. 1705-1714

Naveen N. Narisetty and Vijayan N. Nair

Statistical Matching Analysis for Complex Survey Data With Applications pp. 1715-1725

Pier Luigi Conti, Daniela Marella and Mauro Scanu

Multitask Quantile Regression Under the Transnormal Model pp. 1726-1735

Jianqing Fan, Lingzhou Xue and Hui Zou

A Link Between the -Value and the Robustness of Block Designs pp. 1736-1745

J. D. Godolphin

Sparse Approximate Inference for Spatio-Temporal Point Process Models pp. 1746-1763

Botond Cseke, Andrew Zammit-Mangion, Tom Heskes and Guido Sanguinetti

Composite Robust Estimators for Linear Mixed Models pp. 1764-1774

Claudio Agostinelli and Víctor J. Yohai

Optimal Model Averaging Estimation for Generalized Linear Models and Generalized Linear Mixed-Effects Models pp. 1775-1790

Xinyu Zhang, Dalei Yu, Guohua Zou and Hua Liang

Bayesian Nonparametric Modeling of Higher Order Markov Chains pp. 1791-1803

Abhra Sarkar and David B. Dunson

Panel Data Models With Interactive Fixed Effects and Multiple Structural Breaks pp. 1804-1819

Degui Li, Junhui Qian and Liangjun Su

Sensitivity Analysis for Multiple Comparisons in Matched Observational Studies Through Quadratically Constrained Linear Programming pp. 1820-1830

Colin B. Fogarty and Dylan S. Small

Matching and Weighting With Functions of Error-Prone Covariates for Causal Inference pp. 1831-1839

J. R. Lockwood and Daniel F. McCaffrey

Book Reviews pp. 1840-1851

The Editors

Correction pp. 1852-1852

The Editors

Editorial Collaborators pp. 1853-1861

The Editors

Editorial Board EOV pp. ebi-ebi

The Editors

Volume 111, issue 515, 2016

Bayesian Nonparametric Estimation for Dynamic Treatment Regimes With Sequential Transition Times pp. 921-950

Yanxun Xu, Peter Müller, Abdus S. Wahed and Peter F. Thall

Comment pp. 936-942

Qian Guan, Eric B. Laber and Brian J. Reich

Comment pp. 942-947

Jingxiang Chen, Yufeng Liu, Donglin Zeng, Rui Song, Yingqi Zhao and Michael R. Kosorok

Comment pp. 947-948

Lorenzo Trippa and Giovanni Parmigiani

Rejoinder pp. 948-950

Yanxun Xu, Peter Müller, Abdus S. Wahed and Peter Thall

Analyzing Single-Molecule Protein Transportation Experiments via Hierarchical Hidden Markov Models pp. 951-966

Yang Chen, Kuang Shen, Shu-Ou Shan and S. C. Kou

Template-Based Models for Genome-Wide Analysis of Next-Generation Sequencing Data at Base-Pair Resolution pp. 967-987

Alexander W. Blocker and Edoardo M. Airoldi

A Model of Text for Experimentation in the Social Sciences pp. 988-1003

Margaret E. Roberts, Brandon M. Stewart and Edoardo M. Airoldi

Estimation of Directed Acyclic Graphs Through Two-Stage Adaptive Lasso for Gene Network Inference pp. 1004-1019

Sung Won Han, Gong Chen, Myun-Seok Cheon and Hua Zhong

Detecting and Localizing Differences in Functional Time Series Dynamics: A Case Study in Molecular Biophysics pp. 1020-1035

Shahin Tavakoli and Victor M. Panaretos

Probabilistic Cause-of-Death Assignment Using Verbal Autopsies pp. 1036-1049

Tyler H. McCormick, Zehang Richard Li, Clara Calvert, Amelia C. Crampin, Kathleen Kahn and Samuel J. Clark

Parameterization of White Matter Manifold-Like Structures Using Principal Surfaces pp. 1050-1060

Chen Yue, Vadim Zipunnikov, Pierre-Louis Bazin, Dzung Pham, Daniel Reich, Ciprian Crainiceanu and Brian Caffo

A Longitudinal Mixed Logit Model for Estimation of Push and Pull Effects in Residential Location Choice pp. 1061-1074

Fiona Steele, Elizabeth Washbrook, Christopher Charlton and William J. Browne

Hierarchical Models for Semicompeting Risks Data With Application to Quality of End-of-Life Care for Pancreatic Cancer pp. 1075-1095

Kyu Ha Lee, Francesca Dominici, Deborah Schrag and Sebastien Haneuse

Model-Based Geostatistics for Prevalence Mapping in Low-Resource Settings pp. 1096-1120

Peter J. Diggle and Emanuele Giorgi

Comment pp. 1108-1110

Leonhard Held and Stefanie Muff

Comment pp. 1110-1111

Paula Moraga

Comment: Getting into Space with a Weight Problem pp. 1111-1118

Jon Wakefield, Daniel Simpson and Jessica Godwin

Rejoinder pp. 1119-1120

Peter J. Diggle and Emanuele Giorgi

Generalized Dynamic Principal Components pp. 1121-1131

Daniel Peña and Victor J. Yohai

Fast Estimation of Regression Parameters in a Broken-Stick Model for Longitudinal Data pp. 1132-1143

Ritabrata Das, Moulinath Banerjee, Bin Nan and Huiyong Zheng

Priors for Random Count Matrices Derived from a Family of Negative Binomial Processes pp. 1144-1156

Mingyuan Zhou, Oscar Hernan Madrid Padilla and James G. Scott

Constructed Second Control Groups and Attenuation of Unmeasured Biases pp. 1157-1167

Samuel D. Pimentel, Dylan S. Small and Paul R. Rosenbaum

Bayesian Nonparametric Longitudinal Data Analysis pp. 1168-1181

Fernando A. Quintana, Wesley O. Johnson, L. Elaine Waetjen and Ellen B. Gold

Brownian Integrated Covariance Functions for Gaussian Process Modeling: Sigmoidal Versus Localized Basis Functions pp. 1182-1195

Ning Zhang and Daniel W. Apley

Dynamic Covariance Models pp. 1196-1207

Ziqi Chen and Chenlei Leng

Forward Variable Selection for Sparse Ultra-High Dimensional Varying Coefficient Models pp. 1209-1221

Ming-Yen Cheng, Toshio Honda and Jin-Ting Zhang

A Subsampled Double Bootstrap for Massive Data pp. 1222-1232

Srijan Sengupta, Stanislav Volgushev and Xiaofeng Shao

Coverage Inducing Priors in Nonstandard Inference Problems pp. 1233-1241

Ulrich K. Müller and Andriy Norets

Classification With Unstructured Predictors and an Application to Sentiment Analysis pp. 1242-1253

Junhui Wang, Xiaotong Shen, Yiwen Sun and Annie Qu

Stabilized Nearest Neighbor Classifier and its Statistical Properties pp. 1254-1265

Will Wei Sun, Xingye Qiao and Guang Cheng

Conditional Sure Independence Screening pp. 1266-1277

Emre Barut, Jianqing Fan and Anneleen Verhasselt

Graphical Procedures for Multiple Comparisons Under General Dependence pp. 1278-1288

Christopher J. Bennett and Brennan Thompson

Joint Inference for Competing Risks Survival Data pp. 1289-1300

Gang Li and Qing Yang

Analysis of Proportional Odds Models With Censoring and Errors-in-Covariates pp. 1301-1312

Samiran Sinha and Yanyuan Ma

Sufficient Reductions in Regressions With Exponential Family Inverse Predictors pp. 1313-1329

Efstathia Bura, Sabrina Duarte and Liliana Forzani

How Much Information Does Dependence Between Wavelet Coefficients Contain? pp. 1330-1345

Carsten Jentsch and Claudia Kirch

Generalized Fiducial Inference: A Review and New Results pp. 1346-1361

Jan Hannig, Hari Iyer, Randy C. S. Lai and Thomas C. M. Lee

Book Reviews pp. 1362-1369

The Editors

Correction to Jin-Ting Zhang’s “Approximate and Asymptotic Distributions of Chi-Squared-Type Mixtures With Applications’’ pp. 1370-1371

Wouter Duivesteijn

Volume 111, issue 514, 2016

Discrete Optimization for Interpretable Study Populations and Randomization Inference in an Observational Study of Severe Sepsis Mortality pp. 447-458

Colin B. Fogarty, Mark E. Mikkelsen, David F. Gaieski and Dylan S. Small

A Dynamic Bayesian Model for Characterizing Cross-Neuronal Interactions During Decision-Making pp. 459-471

Bo Zhou, David E. Moorman, Sam Behseta, Hernando Ombao and Babak Shahbaba

Bayesian Spatial Change of Support for Count-Valued Survey Data With Application to the American Community Survey pp. 472-487

Jonathan R. Bradley, Christopher K. Wikle and Scott H. Holan

Detection of Infectious Disease Outbreaks From Laboratory Data With Reporting Delays pp. 488-499

Angela Noufaily, Paddy Farrington, Paul Garthwaite, Doyo Gragn Enki, Nick Andrews and Andre Charlett

Calibrating Functional Parameters in the Ion Channel Models of Cardiac Cells pp. 500-509

Matthew Plumlee, V. Roshan Joseph and Hui Yang

Identification and Estimation of Causal Mechanisms in Clustered Encouragement Designs: Disentangling Bed Nets Using Bayesian Principal Stratification pp. 510-525

Laura Forastiere, Fabrizia Mealli and Tyler J. VanderWeele

Using Binary Paradata to Correct for Measurement Error in Survey Data Analysis pp. 526-537

Damião Nóbrega Da Silva, Chris Skinner and Jae Kwang Kim

Joint Estimation of Treatment and Placebo Effects in Clinical Trials With Longitudinal Blinding Assessments pp. 538-548

Wei Liu, Zhiwei Zhang, R. Jason Schroeder, Martin Ho, Bo Zhang, Cynthia Long, Hui Zhang and Telba Z. Irony

Understanding the Impact of Stroke on Brain Motor Function: A Hierarchical Bayesian Approach pp. 549-563

Zhe Yu, Raquel Prado, Erin Burke Quinlan, Steven C. Cramer and Hernando Ombao

Modeling E-mail Networks and Inferring Leadership Using Self-Exciting Point Processes pp. 564-584

Eric W. Fox, Martin B. Short, Frederic P. Schoenberg, Kathryn D. Coronges and Andrea L. Bertozzi

A Multiresolution Stochastic Process Model for Predicting Basketball Possession Outcomes pp. 585-599

Daniel Cervone, Alex D’Amour, Luke Bornn and Kirk Goldsberry

Exact Post-Selection Inference for Sequential Regression Procedures pp. 600-620

Ryan J. Tibshirani, Jonathan Taylor, Richard Lockhart and Robert Tibshirani

Comment pp. 614-617

Lawrence D. Brown and Kory D. Johnson

Rejoinder pp. 618-620

Ryan J. Tibshirani, Jonathan Taylor, Richard Lockhart and Robert Tibshirani

Structured Matrix Completion with Applications to Genomic Data Integration pp. 621-633

Tianxi Cai, T. Tony Cai and Anru Zhang

The Controlled Thermodynamic Integral for Bayesian Model Evidence Evaluation pp. 634-645

Chris J. Oates, Theodore Papamarkou and Mark Girolami

Empirical Likelihood for Right Censored Lifetime Data pp. 646-655

Shuyuan He, Wei Liang, Junshan Shen and Grace Yang

Bayesian Conditional Tensor Factorizations for High-Dimensional Classification pp. 656-669

Yun Yang and David B. Dunson

A General Regression Changepoint Test for Time Series Data pp. 670-683

Michael W. Robbins, Colin M. Gallagher and Robert B. Lund

A Class of Functional Methods for Error-Contaminated Survival Data Under Additive Hazards Models with Replicate Measurements pp. 684-695

Ying Yan and Grace Y. Yi

Simultaneous Sparse Estimation of Canonical Vectors in the ≫ Setting pp. 696-706

Irina Gaynanova, James G. Booth and Martin T. Wells

Sparse Regression Incorporating Graphical Structure Among Predictors pp. 707-720

Guan Yu and Yufeng Liu

Multivariate-Sign-Based High-Dimensional Tests for the Two-Sample Location Problem pp. 721-735

Long Feng, Changliang Zou and Zhaojun Wang

Generalized Quasi-Likelihood Ratio Tests for Semiparametric Analysis of Covariance Models in Longitudinal Data pp. 736-747

Jin Tang, Yehua Li and Yongtao Guan

Approximations of the Optimal Importance Density Using Gaussian Particle Flow Importance Sampling pp. 748-762

Pete Bunch and Simon Godsill

Robust Orthogonal Complement Principal Component Analysis pp. 763-771

Yiyuan She, Shijie Li and Dapeng Wu

Functional CAR Models for Large Spatially Correlated Functional Datasets pp. 772-786

Lin Zhang, Veerabhadran Baladandayuthapani, Hongxiao Zhu, Keith A. Baggerly, Tadeusz Majewski, Bogdan A. Czerniak and Jeffrey S. Morris

Efficient Estimation of the Cox Model with Auxiliary Subgroup Survival Information pp. 787-799

Chiung-Yu Huang, Jing Qin and Huei-Ting Tsai

Hierarchical Nearest-Neighbor Gaussian Process Models for Large Geostatistical Datasets pp. 800-812

Abhirup Datta, Sudipto Banerjee, Andrew O. Finley and Alan E. Gelfand

Trace Pursuit: A General Framework for Model-Free Variable Selection pp. 813-821

Zhou Yu, Yuexiao Dong and Li-Xing Zhu

Nonparametric Variance Estimation Under Fine Stratification: An Alternative to Collapsed Strata pp. 822-833

F. Jay Breidt, Jean D. Opsomer and Ismael Sanchez-Borrego

Convex Banding of the Covariance Matrix pp. 834-845

Jacob Bien, Florentina Bunea and Luo Xiao

Fast, Exact Bootstrap Principal Component Analysis for > 1 Million pp. 846-860

Aaron Fisher, Brian Caffo, Brian Schwartz and Vadim Zipunnikov

Using a Monotonic Density Ratio Model to Find the Asymptotically Optimal Combination of Multiple Diagnostic Tests pp. 861-874

Baojiang Chen, Pengfei Li, Jing Qin and Tao Yu

Active Clinical Trials for Personalized Medicine pp. 875-887

Stanislav Minsker, Ying-Qi Zhao and Guang Cheng

Spatio-Temporal Covariance and Cross-Covariance Functions of the Great Circle Distance on a Sphere pp. 888-898

Emilio Porcu, Moreno Bevilacqua and Marc G. Genton

I-Optimal Design of Mixture Experiments pp. 899-911

Peter Goos, Bradley Jones and Utami Syafitri

Book Reviews pp. 912-919

The Editors

Volume 111, issue 513, 2016

A Functional Approach to Deconvolve Dynamic Neuroimaging Data pp. 1-13

Ci-Ren Jiang, John A. D. Aston and Jane-Ling Wang

A Bayesian Partial Identification Approach to Inferring the Prevalence of Accounting Misconduct pp. 14-26

P. Richard Hahn, Jared S. Murray and Ioanna Manolopoulou

Meta-Analytic Framework for Sparse K -Means to Identify Disease Subtypes in Multiple Transcriptomic Studies pp. 27-42

Zhiguang Huo, Ying Ding, Silvia Liu, Steffi Oesterreich and George Tseng

Collective Estimation of Multiple Bivariate Density Functions With Application to Angular-Sampling-Based Protein Loop Modeling pp. 43-56

Mehdi Maadooliat, Lan Zhou, Seyed Morteza Najibi, Xin Gao and Jianhua Z. Huang

Calibrating an Ice Sheet Model Using High-Dimensional Binary Spatial Data pp. 57-72

Won Chang, Murali Haran, Patrick Applegate and David Pollard

Perturbation Detection Through Modeling of Gene Expression on a Latent Biological Pathway Network: A Bayesian Hierarchical Approach pp. 73-92

Lisa M. Pham, Luis Carvalho, Scott Schaus and Eric D. Kolaczyk

A Model-Based Approach to Climate Reconstruction Using Tree-Ring Data pp. 93-106

Matthew R. Schofield, Richard J. Barker, Andrew Gelman, Edward R. Cook and Keith R. Briffa

Constrained Maximum Likelihood Estimation for Model Calibration Using Summary-Level Information From External Big Data Sources pp. 107-117

Nilanjan Chatterjee, Yi-Hau Chen, Paige Maas and Raymond J. Carroll

Comment pp. 118-121

Peisong Han and Jerald F. Lawless

Comment pp. 121-122

Sebastien Haneuse and Claudia Rivera

Comment pp. 123-124

Thomas A. Louis and Niels Keiding

Comment: A Human Genetics Perspective pp. 124-127

Joel A. Mefford, Noah A. Zaitlen and John S. Witte

Comment: Addressing the Need for Portability in Big Data Model Building and Calibration pp. 127-129

Chirag J. Patel and Francesca Dominici

Rejoinder pp. 130-131

Nilanjan Chatterjee, Yi-Hau Chen, Paige Maas and Raymond J. Carroll

Instrumental Variables Estimation With Some Invalid Instruments and its Application to Mendelian Randomization pp. 132-144

Hyunseung Kang, Anru Zhang, T. Tony Cai and Dylan S. Small

Generalizing Quantile Regression for Counting Processes With Applications to Recurrent Events pp. 145-156

Xiaoyan Sun, Limin Peng, Yijian Huang and HuiChuan J. Lai

A Potential Tale of Two-by-Two Tables From Completely Randomized Experiments pp. 157-168

Peng Ding and Tirthankar Dasgupta

Ultrahigh-Dimensional Multiclass Linear Discriminant Analysis by Pairwise Sure Independence Screening pp. 169-179

Rui Pan, Hansheng Wang and Runze Li

Constrained Estimators and Consistency of a Regression Model on a Lexis Diagram pp. 180-199

Wenjiang Fu

Statistical Inference in Hidden Markov Models Using k -Segment Constraints pp. 200-215

Michalis K. Titsias, Christopher C. Holmes and Christopher Yau

Pairwise Likelihood Inference for Nested Hidden Markov Chain Models for Multilevel Longitudinal Data pp. 216-228

Francesco Bartolucci and Monia Lupparelli

Large-Scale Multiple Testing of Correlations pp. 229-240

T. Tony Cai and Weidong Liu

Personalized Prediction and Sparsity Pursuit in Latent Factor Models pp. 241-252

Yunzhang Zhu, Xiaotong Shen and Changqing Ye

Minimax and Adaptive Estimation of Covariance Operator for Random Variables Observed on a Lattice Graph pp. 253-265

T. Tony Cai and Ming Yuan

Estimation and Testing of Varying Coefficients in Quantile Regression pp. 266-274

Xingdong Feng and Liping Zhu

Feature Augmentation via Nonparametrics and Selection (FANS) in High-Dimensional Classification pp. 275-287

Jianqing Fan, Yang Feng, Jiancheng Jiang and Xin Tong

Spline-Lasso in High-Dimensional Linear Regression pp. 288-297

Jianhua Guo, Jianchang Hu, Bing-Yi Jing and Zhen Zhang

Efficient Sequential Monte Carlo With Multiple Proposals and Control Variates pp. 298-313

Wentao Li, Rong Chen and Zhiqiang Tan

Stepwise Signal Extraction via Marginal Likelihood pp. 314-330

Chao Du, Chu-Lan Michael Kao and S. C. Kou

Hierarchical Testing in the High-Dimensional Setting With Correlated Variables pp. 331-343

Jacopo Mandozzi and Peter Bühlmann

Quantile Regression in the Secondary Analysis of Case--Control Data pp. 344-354

Ying Wei, Xiaoyu Song, Mengling Liu, Iuliana Ionita-Laza and Joan Reibman

Variable Selection With Prior Information for Generalized Linear Models via the Prior LASSO Method pp. 355-376

Yuan Jiang, Yunxiao He and Heping Zhang

An Adaptive Exchange Algorithm for Sampling From Distributions With Intractable Normalizing Constants pp. 377-393

Faming Liang, Ick Hoon Jin, Qifan Song and Jun S. Liu

Asymptotically Normal and Efficient Estimation of Covariate-Adjusted Gaussian Graphical Model pp. 394-406

Mengjie Chen, Zhao Ren, Hongyu Zhao and Harrison Zhou

Estimating Variance Components in Functional Linear Models With Applications to Genetic Heritability pp. 407-422

Matthew Reimherr and Dan Nicolae

Extended MaxT Tests of One-Sided Hypotheses pp. 423-437

Zeng-Hua Lu