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 114, issue 528, 2019

Choose to Lead pp. 1427-1435

Lisa Morrissey LaVange

Value of Information: Sensitivity Analysis and Research Design in Bayesian Evidence Synthesis pp. 1436-1449

Christopher Jackson, Anne Presanis, Stefano Conti and Daniela De Angelis

Inferring Atmospheric Release Characteristics in a Large Computer Experiment Using Bayesian Adaptive Splines pp. 1450-1465

Devin Francom, Bruno Sansó, Vera Bulaevskaya, Donald Lucas and Matthew Simpson

Spatial Variable Selection and An Application to Virginia Lyme Disease Emergence pp. 1466-1480

Yimeng Xie, Li Xu, Jie Li, Xinwei Deng, Yili Hong, Korine Kolivras and David N. Gaines

A Hierarchical Framework for Correcting Under-Reporting in Count Data pp. 1481-1492

Oliver Stoner, Theo Economou and Gabriela Drummond Marques da Silva

Downstream Effects of Upstream Causes pp. 1493-1504

Bradley C. Saul, Michael G. Hudgens and Michael A. Mallin

Nonparametric Bayes Models of Fiber Curves Connecting Brain Regions pp. 1505-1517

Zhengwu Zhang, Maxime Descoteaux and David B. Dunson

Bayesian Probabilistic Numerical Methods in Time-Dependent State Estimation for Industrial Hydrocyclone Equipment pp. 1518-1531

Chris J. Oates, Jon Cockayne, Robert G. Aykroyd and Mark Girolami

Design, Identification, and Sensitivity Analysis for Patient Preference Trials pp. 1532-1546

Dean Knox, Teppei Yamamoto, Matthew A. Baum and Adam J. Berinsky

Scaled von Mises–Fisher Distributions and Regression Models for Paleomagnetic Directional Data pp. 1547-1560

J. L. Scealy and Andrew T. A. Wood

A Spatio-Temporal Modeling Framework for Surveillance Data of Multiple Infectious Pathogens With Small Laboratory Validation Sets pp. 1561-1573

Xueying Tang, Yang Yang, Hong-Jie Yu, Qiao-Hong Liao and Nikolay Bliznyuk

The Blessings of Multiple Causes pp. 1574-1596

Yixin Wang and David M. Blei

Comment: Reflections on the Deconfounder pp. 1597-1601

Alexander D’Amour

Comment on: “The Blessings of Multiple Causes” by Yixin Wang and David M. Blei pp. 1602-1604

Susan Athey, Guido Imbens and Michael Pollmann

Comment: The Challenges of Multiple Causes pp. 1605-1610

Kosuke Imai and Zhichao Jiang

Comment on “Blessings of Multiple Causes” pp. 1611-1615

Elizabeth L. Ogburn, Ilya Shpitser and Eric J. Tchetgen Tchetgen

The Blessings of Multiple Causes: Rejoinder pp. 1616-1619

Yixin Wang and David M. Blei

BET on Independence pp. 1620-1637

Kai Zhang

Distance Metrics for Measuring Joint Dependence with Application to Causal Inference pp. 1638-1650

Shubhadeep Chakraborty and Xianyang Zhang

Randomization Inference for Peer Effects pp. 1651-1664

Xinran Li, Peng Ding, Qian Lin, Dawei Yang and Jun S. Liu

Time Series Experiments and Causal Estimands: Exact Randomization Tests and Trading pp. 1665-1682

Iavor Bojinov and Neil Shephard

Forecasting Multiple Time Series With One-Sided Dynamic Principal Components pp. 1683-1694

Daniel Peña, Ezequiel Smucler and Victor J. Yohai

Time-Varying Periodicity in Intraday Volatility pp. 1695-1707

Torben Andersen, Martin Thyrsgaard and Viktor Todorov

Optimal Sparse Singular Value Decomposition for High-Dimensional High-Order Data pp. 1708-1725

Anru Zhang and Rungang Han

Sparse Sliced Inverse Regression via Lasso pp. 1726-1739

Qian Lin, Zhigen Zhao and Jun S. Liu

Composite Coefficient of Determination and Its Application in Ultrahigh Dimensional Variable Screening pp. 1740-1751

Efang Kong, Yingcun Xia and Wei Zhong

Covariate Information Matrix for Sufficient Dimension Reduction pp. 1752-1764

Weixin Yao, Debmalya Nandy, Bruce G. Lindsay and Francesca Chiaromonte

Semiparametric Regression Using Variational Approximations pp. 1765-1777

Francis K. C. Hui, C. You, Han Lin Shang and Samuel Müller

Robust Score Tests With Missing Data in Genomics Studies pp. 1778-1786

Kin Yau Wong, Donglin Zeng and D. Y. Lin

Efficient Signal Inclusion With Genomic Applications pp. 1787-1799

X. Jessie Jeng, Teng Zhang and Jung-Ying Tzeng

Uncertainty Quantification for Computer Models With Spatial Output Using Calibration-Optimal Bases pp. 1800-1814

James M. Salter, Daniel B. Williamson, John Scinocca and Viatcheslav Kharin

Prediction Accuracy Measures for a Nonlinear Model and for Right-Censored Time-to-Event Data pp. 1815-1825

Gang Li and Xiaoyan Wang

Bayesian Model Comparison with the Hyvärinen Score: Computation and Consistency pp. 1826-1837

Stephane Shao, Pierre E. Jacob, Jie Ding and Vahid Tarokh

Bayesian Spectral Modeling for Multiple Time Series pp. 1838-1853

Annalisa Cadonna, Athanasios Kottas and Raquel Prado

Robust Alternatives to ANCOVA for Estimating the Treatment Effect via a Randomized Comparative Study pp. 1854-1864

Fei Jiang, Lu Tian, Haoda Fu, Takahiro Hasegawa and L. J. Wei

Generalized Additive Models for Exceedances of High Thresholds With an Application to Return Level Estimation for U.S. Wind Gusts pp. 1865-1879

Benjamin D. Youngman

FarmTest: Factor-Adjusted Robust Multiple Testing With Approximate False Discovery Control pp. 1880-1893

Jianqing Fan, Yuan Ke, Qiang Sun and Wen-Xin Zhou

Dynamic Tensor Clustering pp. 1894-1907

Will Wei Sun and Lexin Li

Tuning-Free Heterogeneous Inference in Massive Networks pp. 1908-1925

Zhao Ren, Yongjian Kang, Yingying Fan and Jinchi Lv

Handbook of Statistical Methods for Case-Control Studies pp. 1926-1928

Neil Pearce

Linear Models and the Relevant Distributions and Matrix Algebra pp. 1928-1929

A. Alexandre Trindade

Editorial Collaborators pp. W1930-W1938

The Editors

Volume 114, issue 527, 2019

A Bayesian Hierarchical Summary Receiver Operating Characteristic Model for Network Meta-Analysis of Diagnostic Tests pp. 949-961

Qinshu Lian, James S. Hodges and Haitao Chu

Bayesian Uncertainty Directed Trial Designs pp. 962-974

Steffen Ventz, Matteo Cellamare, Sergio Bacallado and Lorenzo Trippa

A Geometric Perspective on the Power of Principal Component Association Tests in Multiple Phenotype Studies pp. 975-990

Zhonghua Liu and Xihong Lin

Inferring Brain Signals Synchronicity From a Sample of EEG Readings pp. 991-1001

Qian Li, Damla Şentürk, Catherine A. Sugar, Shafali Jeste, Charlotte DiStefano, Joel Frohlich and Donatello Telesca

Automatic Detection and Uncertainty Quantification of Landmarks on Elastic Curves pp. 1002-1017

Justin Strait, Oksana Chkrebtii and Sebastian Kurtek

Calibration Concordance for Astronomical Instruments via Multiplicative Shrinkage pp. 1018-1037

Yang Chen, Xiao-Li Meng, Xufei Wang, David A. van Dyk, Herman L. Marshall and Vinay L. Kashyap

Estimating and Testing Vaccine Sieve Effects Using Machine Learning pp. 1038-1049

David Benkeser, Peter B. Gilbert and Marco Carone

Spatial Homogeneity Pursuit of Regression Coefficients for Large Datasets pp. 1050-1062

Furong Li and Huiyan Sang

Diagnosing Glaucoma Progression With Visual Field Data Using a Spatiotemporal Boundary Detection Method pp. 1063-1074

Samuel I. Berchuck, Jean-Claude Mwanza and Joshua L. Warren

Limits to Human Life Span Through Extreme Value Theory pp. 1075-1080

Jesson J. Einmahl, John Einmahl and Laurens de Haan

A Spatial Modeling Approach for Linguistic Object Data: Analyzing Dialect Sound Variations Across Great Britain pp. 1081-1096

Shahin Tavakoli, Davide Pigoli, John A. D. Aston and John S. Coleman

Discussion: Object-Oriented Data Analysis, Power Metrics, and Graph Laplacians pp. 1097-1098

Ian L. Dryden, Simon P. Preston and Katie E. Severn

Discussion: A Spatial Modeling Approach for Linguistic Object Data: Analyzing Dialect Sound Variations Across Great Britain, by Shahin Tavakoli et al pp. 1099-1101

Alexander Petersen and Hans-Georg Müller

Discussion: A Spatial Modeling Approach for Linguistic Object Data: Analysing Dialect Sound Variations Across Great Britain, by Shahin Tavakoli et al pp. 1102-1102

J. S. Marron

Rejoinder for “A Spatial Modeling Approach for Linguistic Object Data: Analyzing Dialect Sound Variations Across Great Britain” pp. 1103-1104

Shahin Tavakoli, Davide Pigoli, John A. D. Aston and John S. Coleman

Meta-Analysis of Mid-p-Values: Some New Results based on the Convex Order pp. 1105-1112

Patrick Rubin-Delanchy, Nicholas A. Heard and Daniel J. Lawson

Robust Bayesian Inference via Coarsening pp. 1113-1125

Jeffrey W. Miller and David B. Dunson

An Adapted Loss Function for Censored Quantile Regression pp. 1126-1137

Mickaël De Backer, Anouar El Ghouch and Ingrid Van Keilegom

Factor and Idiosyncratic Empirical Processes pp. 1138-1146

Xinbing Kong, Jiangyan Wang, Jinbao Xing, Chao Xu and Chao Ying

Frequentist Consistency of Variational Bayes pp. 1147-1161

Yixin Wang and David M. Blei

Minimax Estimation of the Volume of a Set Under the Rolling Ball Condition pp. 1162-1173

Ery Arias-Castro, Beatriz Pateiro-López and Alberto Rodríguez-Casal

Toward Computerized Efficient Estimation in Infinite-Dimensional Models pp. 1174-1190

Marco Carone, Alexander R. Luedtke and Mark J. van der Laan

Estimation and Identification of a Varying-Coefficient Additive Model for Locally Stationary Processes pp. 1191-1204

Lixia Hu, Tao Huang and Jinhong You

Skinny Gibbs: A Consistent and Scalable Gibbs Sampler for Model Selection pp. 1205-1217

Naveen N. Narisetty, Juan Shen and Xuming He

Bayesian Regularization for Graphical Models With Unequal Shrinkage pp. 1218-1231

Lingrui Gan, Naveen N. Narisetty and Feng Liang

Semiparametric Regression Analysis of Multiple Right- and Interval-Censored Events pp. 1232-1240

Fei Gao, Donglin Zeng, David Couper and D. Y. Lin

Covariate-Adjusted Regression for Distorted Longitudinal Data With Informative Observation Times pp. 1241-1250

Shirong Deng and Xingqiu Zhao

New Tests for Equality of Several Covariance Functions for Functional Data pp. 1251-1263

Jia Guo, Bu Zhou and Jin-Ting Zhang

Invariant Causal Prediction for Sequential Data pp. 1264-1276

Niklas Pfister, Peter Bühlmann and Jonas Peters

Sparse Minimum Discrepancy Approach to Sufficient Dimension Reduction with Simultaneous Variable Selection in Ultrahigh Dimension pp. 1277-1290

Wei Qian, Shanshan Ding and R. Dennis Cook

Multiple Testing When Many p-Values are Uniformly Conservative, with Application to Testing Qualitative Interaction in Educational Interventions pp. 1291-1304

Qingyuan Zhao, Dylan S. Small and Weijie Su

Covariate-Adjusted Tensor Classification in High Dimensions pp. 1305-1319

Yuqing Pan, Qing Mai and Xin Zhang

Combined Hypothesis Testing on Graphs With Applications to Gene Set Enrichment Analysis pp. 1320-1338

Shulei Wang and Ming Yuan

On the Use of the Lasso for Instrumental Variables Estimation with Some Invalid Instruments pp. 1339-1350

Frank Windmeijer, Helmut Farbmacher, Neil Davies and George Davey Smith

Selection-Corrected Statistical Inference for Region Detection With High-Throughput Assays pp. 1351-1365

Yuval Benjamini, Jonathan Taylor and Rafael A. Irizarry

Extremiles: A New Perspective on Asymmetric Least Squares pp. 1366-1381

Abdelaati Daouia, Irène Gijbels and Gilles Stupfler

Quantile-Regression Inference With Adaptive Control of Size pp. 1382-1393

Juan Carlos Escanciano and Chuan Goh

MCMC for Imbalanced Categorical Data pp. 1394-1403

James E. Johndrow, Aaron Smith, Natesh Pillai and David B. Dunson

Proper Inference for Value Function in High-Dimensional Q-Learning for Dynamic Treatment Regimes pp. 1404-1417

Wensheng Zhu, Donglin Zeng and Rui Song

Asymptotic Analysis of Mixed Effects Models: Theory, Applications, and Open Problems pp. 1418-1420

Hongying Dai

Data Science Foundations: Geometry and Topology of Complex Hierarchic Systems and Big Data Analytics pp. 1420-1421

Kaixian Yu

Flexible Imputation of Missing Data, 2nd ed pp. 1421-1421

Shu Yang

Missing and Modified Data in Nonparametric Estimation: With R Examples pp. 1421-1423

Ofer Harel

Randomization, Masking, and Allocation Concealment pp. 1423-1424

Anna Snavely

Risk Theory: A Heavy Tail Approach pp. 1424-1425

Chen Zhou

Simulation and the Monte Carlo Method, 3rd ed pp. 1425-1425

Dootika Vats

Statistical Data Fusion pp. 1425-1426

Jae-Kwang Kim

Volume 114, issue 526, 2019

Bayesian Semiparametric Functional Mixed Models for Serially Correlated Functional Data, With Application to Glaucoma Data pp. 495-513

Wonyul Lee, Michelle F. Miranda, Philip Rausch, Veerabhadran Baladandayuthapani, Massimo Fazio, J. Crawford Downs and Jeffrey S. Morris

Sequential Nonparametric Tests for a Change in Distribution: An Application to Detecting Radiological Anomalies pp. 514-528

Oscar Hernan Madrid Padilla, Alex Athey, Alex Reinhart and James G. Scott

Causal Interaction in Factorial Experiments: Application to Conjoint Analysis pp. 529-540

Naoki Egami and Kosuke Imai

Bayesian Semiparametric Estimation of Cancer-Specific Age-at-Onset Penetrance With Application to Li-Fraumeni Syndrome pp. 541-552

Seung Jun Shin, Ying Yuan, Louise C. Strong, Jasmina Bojadzieva and Wenyi Wang

Multilevel Matrix-Variate Analysis and its Application to Accelerometry-Measured Physical Activity in Clinical Populations pp. 553-564

Lei Huang, Jiawei Bai, Andrada Ivanescu, Tamara Harris, Mathew Maurer, Philip Green and Vadim Zipunnikov

Priors for the Long Run pp. 565-580

Domenico Giannone, Michele Lenza and Giorgio Primiceri

Batch Effects Correction with Unknown Subtypes pp. 581-594

Xiangyu Luo and Yingying Wei

Functional Data Analysis of Dynamic PET Data pp. 595-609

Yakuan Chen, Jeff Goldsmith and R. Todd Ogden

Fully Bayesian Analysis of RNA-seq Counts for the Detection of Gene Expression Heterosis pp. 610-621

Will Landau, Jarad Niemi and Dan Nettleton

Joint Indirect Standardization When Only Marginal Distributions are Observed in the Index Population pp. 622-630

Yifei Wang, Daniel J. Tancredi and Diana L. Miglioretti

Stochastic Quasi-Likelihood for Case-Control Point Pattern Data pp. 631-644

Ganggang Xu, Rasmus Waagepetersen and Yongtao Guan

Nonparametric Causal Effects Based on Incremental Propensity Score Interventions pp. 645-656

Edward H. Kennedy

Parameter Estimation and Variable Selection for Big Systems of Linear Ordinary Differential Equations: A Matrix-Based Approach pp. 657-667

Leqin Wu, Xing Qiu, Ya-xiang Yuan and Hulin Wu

Communication-Efficient Distributed Statistical Inference pp. 668-681

Michael I. Jordan, Jason D. Lee and Yun Yang

Joint Mean and Covariance Estimation with Unreplicated Matrix-Variate Data pp. 682-696

Michael Hornstein, Roger Fan, Kerby Shedden and Shuheng Zhou

Excess Optimism: How Biased is the Apparent Error of an Estimator Tuned by SURE? pp. 697-712

Ryan J. Tibshirani and Saharon Rosset

On Sensitivity Value of Pair-Matched Observational Studies pp. 713-722

Qingyuan Zhao

Graphical Model Selection for Gaussian Conditional Random Fields in the Presence of Latent Variables pp. 723-734

Benjamin Frot, Luke Jostins and Gilean McVean

High-Dimensional Posterior Consistency in Bayesian Vector Autoregressive Models pp. 735-748

Satyajit Ghosh, Kshitij Khare and George Michailidis

Valid Post-Selection Inference in High-Dimensional Approximately Sparse Quantile Regression Models pp. 749-758

Alexandre Belloni, Victor Chernozhukov and Kengo Kato

Large Covariance Estimation for Compositional Data Via Composition-Adjusted Thresholding pp. 759-772

Yuanpei Cao, Wei Lin and Hongzhe Li

Variance Change Point Detection Under a Smoothly-Changing Mean Trend with Application to Liver Procurement pp. 773-781

Zhenguo Gao, Zuofeng Shang, Pang Du and John L. Robertson

Graph-Guided Banding of the Covariance Matrix pp. 782-792

Jacob Bien

Bootstrapping High-Frequency Jump Tests pp. 793-803

Prosper Dovonon, Silvia Goncalves, Ulrich Hounyo and Nour Meddahi

Optimal Forecast Reconciliation for Hierarchical and Grouped Time Series Through Trace Minimization pp. 804-819

Shanika L. Wickramasuriya, George Athanasopoulos and Rob Hyndman

Interpretable High-Dimensional Inference Via Score Projection With an Application in Neuroimaging pp. 820-830

Simon N. Vandekar, Philip T. Reiss and Russell T. Shinohara

Speeding Up MCMC by Efficient Data Subsampling pp. 831-843

Matias Quiroz, Robert Kohn, Mattias Villani and Minh-Ngoc Tran

cmenet: A New Method for Bi-Level Variable Selection of Conditional Main Effects pp. 844-856

Simon Mak and C. F. Jeff Wu

Statistical Inference in a Directed Network Model With Covariates pp. 857-868

Ting Yan, Binyan Jiang, Stephen E. Fienberg and Chenlei Leng

Testing for Trends in High-Dimensional Time Series pp. 869-881

Likai Chen and Wei Biao Wu

A Mallows-Type Model Averaging Estimator for the Varying-Coefficient Partially Linear Model pp. 882-892

Rong Zhu, Alan T. K. Wan, Xinyu Zhang and Guohua Zou

Probabilistic Community Detection With Unknown Number of Communities pp. 893-905

Junxian Geng, Anirban Bhattacharya and Debdeep Pati

A Cautionary Tale on Instrumental Calibration for the Treatment of Nonignorable Unit Nonresponse in Surveys pp. 906-915

Éric Lesage, David Haziza and Xavier D’Haultfœuille

Identifying Cointegration by Eigenanalysis pp. 916-927

Rongmao Zhang, Peter Robinson and Qiwei Yao

A Generic Sure Independence Screening Procedure pp. 928-937

Wenliang Pan, Xueqin Wang, Weinan Xiao and Hongtu Zhu

Inverse Probability Weighted Estimation of Risk Under Representative Interventions in Observational Studies pp. 938-947

Jessica G. Young, Roger W. Logan, James M. Robins and Miguel A. Hernán

Book Review pp. 948-948

Jing Su

Volume 114, issue 525, 2019

Penalized Spline of Propensity Methods for Treatment Comparison pp. 1-19

Tingting Zhou, Michael R. Elliott and Roderick J. A. Little

Comment on Penalized Spline of Propensity Methods for Treatment Comparison by Zhou, Elliott, and Little pp. 20-23

Andrew J. Spieker

Discussion of PENCOMP pp. 24-27

Joseph Antonelli and Michael J. Daniels

Comment: Penalized Spline of Propensity Methods for Treatment Comparison pp. 28-30

Qingxia Chen and Frank E. Harrell

Discussion of “Penalized Spline of Propensity Methods for Treatment Comparison” by Zhou, Elliott, and Little pp. 30-32

Shu Yang and Donglin Zeng

Discussion of “Penalized Spline of Propensity Methods for Treatment Comparison” pp. 32-35

Georgia Papadogeorgou and Fan Li

Penalized Spline of Propensity Methods for Treatment Comparison: Rejoinder pp. 35-38

Tingting Zhou, Michael R. Elliott and Roderick J. A. Little

Minimum Mean Squared Error Estimation of the Radius of Gyration in Small-Angle X-Ray Scattering Experiments pp. 39-47

Cody Alsaker, F. Jay Breidt and Mark J. van der Woerd

Bayesian Hierarchical Varying-Sparsity Regression Models with Application to Cancer Proteogenomics pp. 48-60

Yang Ni, Francesco C. Stingo, Min Jin Ha, Rehan Akbani and Veerabhadran Baladandayuthapani

Spatially Dependent Multiple Testing Under Model Misspecification, With Application to Detection of Anthropogenic Influence on Extreme Climate Events pp. 61-78

Mark D. Risser, Christopher J. Paciorek and Dáithí A. Stone

Estimating the Malaria Attributable Fever Fraction Accounting for Parasites Being Killed by Fever and Measurement Error pp. 79-92

Kwonsang Lee and Dylan S. Small

Survivor-Complier Effects in the Presence of Selection on Treatment, With Application to a Study of Prompt ICU Admission pp. 93-104

Edward H. Kennedy, Steve Harris and Luke J. Keele

Capture-Recapture Methods for Data on the Activation of Applications on Mobile Phones pp. 105-114

Mamadou Yauck, Louis-Paul Rivest and Greg Rothman

FreSpeD: Frequency-Specific Change-Point Detection in Epileptic Seizure Multi-Channel EEG Data pp. 115-128

Anna Louise Schröder and Hernando Ombao

Marginal Bayesian Semiparametric Modeling of Mismeasured Multivariate Interval-Censored Data pp. 129-145

Li Li, Alejandro Jara, María José García-Zattera and Timothy E. Hanson

Simulation-Based Bias Correction Methods for Complex Models pp. 146-157

Stéphane Guerrier, Elise Dupuis-Lozeron, Yanyuan Ma and Maria-Pia Victoria-Feser

Admissibility in Partial Conjunction Testing pp. 158-168

Jingshu Wang and Art B. Owen

Changepoint Detection in the Presence of Outliers pp. 169-183

Paul Fearnhead and Guillem Rigaill

Bayesian Graphical Regression pp. 184-197

Yang Ni, Francesco C. Stingo and Veerabhadran Baladandayuthapani

Matrix Completion With Covariate Information pp. 198-210

Xiaojun Mao, Song Chen and Raymond K. W. Wong

Functional Graphical Models pp. 211-222

Xinghao Qiao, Shaojun Guo and Gareth M. James

Least Ambiguous Set-Valued Classifiers With Bounded Error Levels pp. 223-234

Mauricio Sadinle, Jing Lei and Larry Wasserman

Confidence Sets for Phylogenetic Trees pp. 235-244

Amy Willis

Fisher Exact Scanning for Dependency pp. 245-258

Li Ma and Jialiang Mao

Weighted NPMLE for the Subdistribution of a Competing Risk pp. 259-270

Anna Bellach, Michael R. Kosorok, Ludger Rüschendorf and Jason P. Fine

Robust Variable and Interaction Selection for Logistic Regression and General Index Models pp. 271-286

Yang Li and Jun S. Liu

Principal Component Analysis of High-Frequency Data pp. 287-303

Yacine Ait-Sahalia and Dacheng Xiu

Decomposing Treatment Effect Variation pp. 304-317

Peng Ding, Avi Feller and Luke Miratrix

A Computational Framework for Multivariate Convex Regression and Its Variants pp. 318-331

Rahul Mazumder, Arkopal Choudhury, Garud Iyengar and Bodhisattva Sen

Linear Non-Gaussian Component Analysis Via Maximum Likelihood pp. 332-343

Benjamin B. Risk, David S. Matteson and David Ruppert

FSEM: Functional Structural Equation Models for Twin Functional Data pp. 344-357

S. Luo, R. Song, M. Styner, J. H. Gilmore and H. Zhu

Optimal Estimation of Genetic Relatedness in High-Dimensional Linear Models pp. 358-369

Zijian Guo, Wanjie Wang, T. Tony Cai and Hongzhe Li

Censoring Unbiased Regression Trees and Ensembles pp. 370-383

Jon Arni Steingrimsson, Liqun Diao and Robert L. Strawderman

Accurate and Efficient P-value Calculation Via Gaussian Approximation: A Novel Monte-Carlo Method pp. 384-392

Yaowu Liu and Jun Xie

Information-Based Optimal Subdata Selection for Big Data Linear Regression pp. 393-405

HaiYing Wang, Min Yang and John Stufken

Partially Linear Functional Additive Models for Multivariate Functional Data pp. 406-418

Raymond K. W. Wong, Yehua Li and Zhengyuan Zhu

Group SLOPE – Adaptive Selection of Groups of Predictors pp. 419-433

Damian Brzyski, Alexej Gossmann, Weijie Su and Małgorzata Bogdan

Modeling Spatial Processes with Unknown Extremal Dependence Class pp. 434-444

Raphaël Huser and Jennifer L. Wadsworth

Constructing Priors that Penalize the Complexity of Gaussian Random Fields pp. 445-452

Geir-Arne Fuglstad, Daniel Simpson, Finn Lindgren and Håvard Rue

Adaptive Bayesian Time–Frequency Analysis of Multivariate Time Series pp. 453-465

Zeda Li and Robert T. Krafty

Nonparametric Rotations for Sphere-Sphere Regression pp. 466-476

Marco Di Marzio, Agnese Panzera and Charles C. Taylor

Corrigendum pp. 484-484

The Editors

Correction pp. 485-485

The Editors

Correction pp. 486-486

The Editors

Editorial Collaborators pp. 487-494

The Editors