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 109, issue 508, 2014

Sparse Semiparametric Nonlinear Model With Application to Chromatographic Fingerprints pp. 1339-1349

Michael R. Wierzbicki, Li-Bing Guo, Qing-Tao Du and Wensheng Guo

Comment pp. 1349-1350

Pang Du

Comment pp. 1350-1353

Huaihou Chen and Donglin Zeng

Rejoinder pp. 1353-1354

Michael R. Wierzbicki, Li-Bing Guo, Qing-Tao Du and Wensheng Guo

Biomarker Detection in Association Studies: Modeling SNPs Simultaneously via Logistic ANOVA pp. 1355-1367

Yoonsuh Jung, Jianhua Z. Huang and Jianhua Hu

Bayesian Modeling and Forecasting of 24-Hour High-Frequency Volatility pp. 1368-1384

Jonathan R. Stroud and Michael S. Johannes

Combining Dynamic Predictions From Joint Models for Longitudinal and Time-to-Event Data Using Bayesian Model Averaging pp. 1385-1397

Dimitris Rizopoulos, Laura A. Hatfield, Bradley P. Carlin and Johanna J. M. Takkenberg

Bayesian Emulation and Calibration of a Dynamic Epidemic Model for A/H1N1 Influenza pp. 1398-1411

Marian Farah, Paul Birrell, Stefano Conti and Daniela De Angelis

Joint Modeling and Clustering Paired Generalized Longitudinal Trajectories With Application to Cocaine Abuse Treatment Data pp. 1412-1424

Hui Huang, Yehua Li and Yongtao Guan

Variable-Domain Functional Regression for Modeling ICU Data pp. 1425-1439

Jonathan E. Gellar, Elizabeth Colantuoni, Dale M. Needham and Ciprian M. Crainiceanu

Quantifying Causal Effects of Road Network Capacity Expansions on Traffic Volume and Density via a Mixed Model Propensity Score Estimator pp. 1440-1449

Daniel Graham, Emma J. McCoy and David A. Stephens

Exact Meta-Analysis Approach for Discrete Data and its Application to 2 × 2 Tables With Rare Events pp. 1450-1465

Dungang Liu, Regina Y. Liu and Min-ge Xie

Generalized Species Sampling Priors With Latent Beta Reinforcements pp. 1466-1480

Edoardo M. Airoldi, Thiago Costa, Federico Bassetti, Fabrizio Leisen and Michele Guindani

Bayesian Multiscale Modeling of Closed Curves in Point Clouds pp. 1481-1494

Kelvin Gu, Debdeep Pati and David B. Dunson

Monte Carlo Simulation for Lasso-Type Problems by Estimator Augmentation pp. 1495-1516

Qing Zhou

A Simple Method for Estimating Interactions Between a Treatment and a Large Number of Covariates pp. 1517-1532

Lu Tian, Ash A. Alizadeh, Andrew J. Gentles and Robert Tibshirani

A Likelihood-Based Framework for Association Analysis of Allele-Specific Copy Numbers pp. 1533-1545

Y. J. Hu, D. Y. Lin, W. Sun and D. Zeng

Nonparametric Estimation of Probability Density Functions for Irregularly Observed Spatial Data pp. 1546-1564

Zudi Lu and Dag Tjøstheim

Modeling Space and Space-Time Directional Data Using Projected Gaussian Processes pp. 1565-1580

Fangpo Wang and Alan E. Gelfand

Fast Prediction of Deterministic Functions Using Sparse Grid Experimental Designs pp. 1581-1591

Matthew Plumlee

Optimal Supersaturated Designs pp. 1592-1600

Bradley Jones and Dibyen Majumdar

Inference for Misspecified Models With Fixed Regressors pp. 1601-1614

Alberto Abadie, Guido Imbens and Fanyin Zheng

Spherical Regression Models Using Projective Linear Transformations pp. 1615-1624

Michael Rosenthal, Wei Wu, Eric Klassen and Anuj Srivastava

Score Estimating Equations from Embedded Likelihood Functions Under Accelerated Failure Time Model pp. 1625-1635

Jing Ning, Jing Qin and Yu Shen

Proportional Hazards Model With Covariate Measurement Error and Instrumental Variables pp. 1636-1646

Xiao Song and Ching-Yun Wang

Dimension-Reduced Modeling of Spatio-Temporal Processes pp. 1647-1659

Jenný Brynjarsdóttir and L. Mark Berliner

Meta-Analysis With Fixed, Unknown, Study-Specific Parameters pp. 1660-1671

Brian Claggett, Minge Xie and Lu Tian

Generalized Ordinary Differential Equation Models pp. 1672-1682

Hongyu Miao, Hulin Wu and Hongqi Xue

Structural Pursuit Over Multiple Undirected Graphs pp. 1683-1696

Yunzhang Zhu, Xiaotong Shen and Wei Pan

Treatment Evaluation With Multiple Outcome Periods Under Endogeneity and Attrition pp. 1697-1711

Markus Frölich and Martin Huber

Volume 109, issue 507, 2014

A Bayesian Nonparametric Modeling Framework for Developmental Toxicity Studies pp. 873-888

Kassandra Fronczyk and Athanasios Kottas

Comment pp. 889-889

Peter Müller and Fernando Quintana

Comment pp. 890-891

David B. Dunson

Rejoinder pp. 891-893

Kassandra Fronczyk and Athanasios Kottas

Mechanistic Hierarchical Gaussian Processes pp. 894-904

Matthew W. Wheeler, David B. Dunson, Sudha P. Pandalai, Brent A. Baker and Amy H. Herring

Identifying Genetic Variants for Addiction via Propensity Score Adjusted Generalized Kendall's Tau pp. 905-930

Yuan Jiang, Ni Li and Heping Zhang

Optimizing Sedative Dose in Preterm Infants Undergoing Treatment for Respiratory Distress Syndrome pp. 931-943

Peter F. Thall, Hoang Q. Nguyen, Sarah Zohar and Pierre Maton

Estimating Ocean Circulation: An MCMC Approach With Approximated Likelihoods via the Bernoulli Factory pp. 944-954

Radu Herbei and L. Mark Berliner

Multivariate Analysis of Longitudinal Ordinal Data With Mixed Effects Models, With Application to Clinical Outcomes in Osteoarthritis pp. 955-966

Celine Marielle Laffont, Marc Vandemeulebroecke and Didier Concordet

Causal Inference for fMRI Time Series Data With Systematic Errors of Measurement in a Balanced On/Off Study of Social Evaluative Threat pp. 967-976

Michael E. Sobel and Martin A. Lindquist

Bayesian Generalized Low Rank Regression Models for Neuroimaging Phenotypes and Genetic Markers pp. 977-990

Hongtu Zhu, Zakaria Khondker, Zhaohua Lu and Joseph G. Ibrahim

Estimation and Accuracy After Model Selection pp. 991-1007

Bradley Efron

Comment pp. 1007-1010

Lan Wang, Ben Sherwood and Runze Li

Comment pp. 1010-1013

Dimitris N. Politis

Comment pp. 1013-1015

Shuva Gupta and S. N. Lahiri

Comment pp. 1015-1016

Andrew Gelman and Aki Vehtari

Comment pp. 1017-1020

Nils Lid Hjort

Rejoinder pp. 1021-1022

Bradley Efron

Bayesian Aggregation of Order-Based Rank Data pp. 1023-1039

Ke Deng, Simeng Han, Kate J. Li and Jun S. Liu

Inference From Intrinsic Bayes' Procedures Under Model Selection and Uncertainty pp. 1040-1053

Andrew J. Womack, Luis León-Novelo and George Casella

Adaptive Confidence Bands for Nonparametric Regression Functions pp. 1054-1070

T. Tony Cai, Mark Low and Zongming Ma

Efficient R-Estimation of Principal and Common Principal Components pp. 1071-1083

Marc Hallin, Davy Paindaveine and Thomas Verdebout

Spatially Varying Coefficient Model for Neuroimaging Data With Jump Discontinuities pp. 1084-1098

Hongtu Zhu, Jianqing Fan and Linglong Kong

Testing Second-Order Dynamics for Autoregressive Processes in Presence of Time-Varying Variance pp. 1099-1111

Valentin Patilea and Hamdi Raïssi

Filtering With Heavy Tails pp. 1112-1122

Andrew Harvey and Alessandra Luati

Generalized Gaussian Process Regression Model for Non-Gaussian Functional Data pp. 1123-1133

Bo Wang and Jian Qing Shi

Space-Filling Fractional Factorial Designs pp. 1134-1144

Yong-Dao Zhou and Hongquan Xu

Weighted M -statistics With Superior Design Sensitivity in Matched Observational Studies With Multiple Controls pp. 1145-1158

Paul R. Rosenbaum

Multiply Robust Estimation in Regression Analysis With Missing Data pp. 1159-1173

Peisong Han

Targeted Local Support Vector Machine for Age-Dependent Classification pp. 1174-1187

Tianle Chen, Yuanjia Wang, Huaihou Chen, Karen Marder and Donglin Zeng

On an Additive Semigraphoid Model for Statistical Networks With Application to Pathway Analysis pp. 1188-1204

Bing Li, Hyonho Chun and Hongyu Zhao

Functional Principal Component Analysis of Spatiotemporal Point Processes With Applications in Disease Surveillance pp. 1205-1215

Yehua Li and Yongtao Guan

Optimal Tests of Treatment Effects for the Overall Population and Two Subpopulations in Randomized Trials, Using Sparse Linear Programming pp. 1216-1228

Michael Rosenblum, Han Liu and En-Hsu Yen

Sequential Lasso Cum EBIC for Feature Selection With Ultra-High Dimensional Feature Space pp. 1229-1240

Shan Luo and Zehua Chen

Segmented Model Selection in Quantile Regression Using the Minimum Description Length Principle pp. 1241-1256

Alexander Aue, Rex C. Y. Cheung, Thomas C. M. Lee and Ming Zhong

The Sparse MLE for Ultrahigh-Dimensional Feature Screening pp. 1257-1269

Chen Xu and Jiahua Chen

Nonparametric Independence Screening in Sparse Ultra-High-Dimensional Varying Coefficient Models pp. 1270-1284

Jianqing Fan, Yunbei Ma and Wei Dai

Interaction Screening for Ultrahigh-Dimensional Data pp. 1285-1301

Ning Hao and Hao Helen Zhang

Martingale Difference Correlation and Its Use in High-Dimensional Variable Screening pp. 1302-1318

Xiaofeng Shao and Jingsi Zhang

Some Comments on Copula-Based Regression pp. 1319-1324

Holger Dette, Ria Van Hecke and Stanislav Volgushev

Volume 109, issue 506, 2014

Flexible Marginal Structural Models for Estimating the Cumulative Effect of a Time-Dependent Treatment on the Hazard: Reassessing the Cardiovascular Risks of Didanosine Treatment in the Swiss HIV Cohort Study pp. 455-464

Yongling Xiao, Michal Abrahamowicz, Erica E. M. Moodie, Rainer Weber and James Young

To Fuel or Not to Fuel? Is that the Question? pp. 465-476

Eduardo S. Ayra, David Ríos Insua and Javier Cano

A Bayesian Nonparametric Regression Model With Normalized Weights: A Study of Hippocampal Atrophy in Alzheimer's Disease pp. 477-490

Isadora Antoniano-Villalobos, Sara Wade and Stephen G. Walker

Automated Tsunami Source Modeling Using the Sweeping Window Positive Elastic Net pp. 491-499

Daniel M. Percival, Donald B. Percival, Donald W. Denbo, Edison Gica, Paul Y. Huang, Harold O. Mofjeld and Michael C. Spillane

Bayesian Forecasting of Cohort Fertility pp. 500-513

Carl Schmertmann, Emilio Zagheni, Joshua R. Goldstein and Mikko Myrskylä

Estimating Risk With Time-to-Event Data: An Application to the Women's Health Initiative pp. 514-524

Dandan Liu, Yingye Zheng, Ross L. Prentice and Li Hsu

Using Data Augmentation to Facilitate Conduct of Phase I-II Clinical Trials With Delayed Outcomes pp. 525-536

Ick Hoon Jin, Suyu Liu, Peter F. Thall and Ying Yuan

A Bivariate Model for Simultaneous Testing in Bioinformatics Data pp. 537-547

Haim Y. Bar, James G. Booth and Martin T. Wells

Object-Oriented Data Analysis of Cell Images pp. 548-559

Xiaosun Lu, J. S. Marron and Perry Haaland

Source-Sink Reconstruction Through Regularized Multicomponent Regression Analysis-With Application to Assessing Whether North Sea Cod Larvae Contributed to Local Fjord Cod in Skagerrak pp. 560-573

Kun Chen, Kung-Sik Chan and Nils Chr. Stenseth

Variable Selection in Nonparametric Classification Via Measurement Error Model Selection Likelihoods pp. 574-589

L. A. Stefanski, Yichao Wu and Kyle White

Group LASSO for Structural Break Time Series pp. 590-599

Ngai Hang Chan, Chun Yip Yau and Rong-Mao Zhang

Testing Independence Among a Large Number of High-Dimensional Random Vectors pp. 600-612

Guangming Pan, Jiti Gao and Yanrong Yang

Adaptive Multivariate Global Testing pp. 613-623

Giorgos Minas, John A.D. Aston and Nigel Stallard

Adaptive Global Testing for Functional Linear Models pp. 624-634

Jing Lei

Local Empirical Likelihood Inference for Varying-Coefficient Density-Ratio Models Based on Case-Control Data pp. 635-646

Xu Liu, Hongmei Jiang and Yong Zhou

Enriched Stick-Breaking Processes for Functional Data pp. 647-660

Bruno Scarpa and David B. Dunson

A Smooth Simultaneous Confidence Corridor for the Mean of Sparse Functional Data pp. 661-673

Shuzhuan Zheng, Lijian Yang and Wolfgang Härdle

Convex Optimization, Shape Constraints, Compound Decisions, and Empirical Bayes Rules pp. 674-685

Roger Koenker and Ivan Mizera

A Generic Path Algorithm for Regularized Statistical Estimation pp. 686-699

Hua Zhou and Yichao Wu

Sparse Additive Ordinary Differential Equations for Dynamic Gene Regulatory Network Modeling pp. 700-716

Hulin Wu, Tao Lu, Hongqi Xue and Hua Liang

Parametrically Assisted Nonparametric Estimation of a Density in the Deconvolution Problem pp. 717-729

Aurore Delaigle and Peter Hall

Estimation for General Birth-Death Processes pp. 730-747

Forrest W. Crawford, Vladimir N. Minin and Marc A. Suchard

Nonparametric Regression for Spherical Data pp. 748-763

Marco Di Marzio, Agnese Panzera and Charles C. Taylor

Spectral Density Ratio Models for Multivariate Extremes pp. 764-776

Miguel de Carvalho and Anthony C. Davison

Self-Excited Threshold Poisson Autoregression pp. 777-787

Chao Wang, Heng Liu, Jian-Feng Yao, Richard A. Davis and Wai Keung Li

Selection of Mixed Copula Model via Penalized Likelihood pp. 788-801

Zongwu Cai and Xian Wang

A Class of Hazard Rate Mixtures for Combining Survival Data From Different Experiments pp. 802-814

Antonio Lijoi and Bernardo Nipoti

Fused Estimators of the Central Subspace in Sufficient Dimension Reduction pp. 815-827

R. Dennis Cook and Xin Zhang

EMVS: The EM Approach to Bayesian Variable Selection pp. 828-846

Veronika Ročková and Edward I. George

Simulated Stochastic Approximation Annealing for Global Optimization With a Square-Root Cooling Schedule pp. 847-863

Faming Liang, Yichen Cheng and Guang Lin

Ensemble Subsampling for Imbalanced Multivariate Two-Sample Tests pp. 871-871

L. Chen, Winston Dou and Z. Qiao

Volume 109, issue 505, 2014

Bayesian Models for Multiple Outcomes in Domains With Application to the Seychelles Child Development Study pp. 1-10

Luo Xiao, Sally W. Thurston, David Ruppert, Tanzy M. T. Love and Philip W. Davidson

A New Estimation Approach for Combining Epidemiological Data From Multiple Sources pp. 11-23

Hui Huang, Xiaomei Ma, Rasmus Waagepetersen, Theodore R. Holford, Rong Wang, Harvey Risch, Lloyd Mueller and Yongtao Guan

Estimating the Lifetime Risk of Dementia in the Canadian Elderly Population Using Cross-Sectional Cohort Survival Data pp. 24-35

Marco Carone, Masoud Asgharian and Nicholas P. Jewell

Statistical Modeling Methodology for the Voting Rights Act Section 203 Language Assistance Determinations pp. 36-47

Patrick M. Joyce, Donald Malec, Roderick J. A. Little, Aaron Gilary, Alfredo Navarro and Mark E. Asiala

A Locally Convoluted Cluster Model for Nucleosome Positioning Signals in Chemical Maps pp. 48-62

Liqun Xi, Kristin Brogaard, Qingyang Zhang, Bruce Lindsay, Jonathan Widom and Ji-Ping Wang

A Methodology for Robust Multiproxy Paleoclimate Reconstructions and Modeling of Temperature Conditional Quantiles pp. 63-77

Lucas Janson and Bala Rajaratnam

Some Statistical Strategies for DAE-seq Data Analysis: Variable Selection and Modeling Dependencies Among Observations pp. 78-94

Naim Rashid, Wei Sun and Joseph G. Ibrahim

Uncertainty in Propensity Score Estimation: Bayesian Methods for Variable Selection and Model-Averaged Causal Effects pp. 95-107

Corwin Matthew Zigler and Francesca Dominici

Modeling Bivariate Longitudinal Hormone Profiles by Hierarchical State Space Models pp. 108-118

Ziyue Liu, Anne R. Cappola, Leslie J. Crofford and Wensheng Guo

Detection of Unusual Increases in MRI Lesion Counts in Individual Multiple Sclerosis Patients pp. 119-132

Yinshan Zhao, David K. B. Li, A. John Petkau, Andrew Riddehough and Anthony Traboulsee

Clustered Treatment Assignments and Sensitivity to Unmeasured Biases in Observational Studies pp. 133-144

Ben B. Hansen, Paul R. Rosenbaum and Dylan S. Small

A Generalized Least-Square Matrix Decomposition pp. 145-159

Genevera I. Allen, Logan Grosenick and Jonathan Taylor

Bootstrap Testing of the Rank of a Matrix via Least-Squared Constrained Estimation pp. 160-172

François Portier and Bernard Delyon

Parametric Estimation of Ordinary Differential Equations With Orthogonality Conditions pp. 173-185

Nicolas J-B. Brunel, Quentin Clairon and Florence d'Alché-Buc

Joint Estimation of the Mean and Error Distribution in Generalized Linear Models pp. 186-196

Alan Huang

The Estimation of Leverage Effect With High-Frequency Data pp. 197-215

Christina D. Wang and Per A. Mykland

Model Selection via Bayesian Information Criterion for Quantile Regression Models pp. 216-229

Eun Ryung Lee, Hohsuk Noh and Byeong U. Park

Quantile Association Regression Models pp. 230-242

Ruosha Li, Yu Cheng and Jason P. Fine

Predictor Selection for Positive Autoregressive Processes pp. 243-253

Ching-Kang Ing and Chiao-Yi Yang

A Model-Averaging Approach for High-Dimensional Regression pp. 254-265

Tomohiro Ando and Ker-Chau Li

Feature Selection for Varying Coefficient Models With Ultrahigh-Dimensional Covariates pp. 266-274

Jingyuan Liu, Runze Li and Rongling Wu

Scale-Invariant Sparse PCA on High-Dimensional Meta-Elliptical Data pp. 275-287

Fang Han and Han Liu

Large Sample Randomization Inference of Causal Effects in the Presence of Interference pp. 288-301

Lan Liu and Michael G. Hudgens

Accurate Directional Inference for Vector Parameters in Linear Exponential Families pp. 302-314

A. C. Davison, D. A. S. Fraser, N. Reid and N. Sartori

Expectation Propagation for Likelihood-Free Inference pp. 315-333

Simon Barthelmé and Nicolas Chopin

A Nonparametric Approach for Multiple Change Point Analysis of Multivariate Data pp. 334-345

David S. Matteson and Nicholas A. James

Probit Transformation for Kernel Density Estimation on the Unit Interval pp. 346-358

Gery Geenens

Gradient-Based Kernel Dimension Reduction for Regression pp. 359-370

Kenji Fukumizu and Chenlei Leng

Efficient Estimation of Semiparametric Transformation Models for Two-Phase Cohort Studies pp. 371-383

Donglin Zeng and D. Y. Lin

Landmark Estimation of Survival and Treatment Effect in a Randomized Clinical Trial pp. 384-394

Layla Parast, Lu Tian and Tianxi Cai

Kernels, Degrees of Freedom, and Power Properties of Quadratic Distance Goodness-of-Fit Tests pp. 395-410

Bruce G. Lindsay, Marianthi Markatou and Surajit Ray

Multivariate Functional Halfspace Depth pp. 411-423

Gerda Claeskens, Mia Hubert, Leen Slaets and Kaveh Vakili

Principal Flows pp. 424-436

Victor M. Panaretos, Tung Pham and Zhigang Yao

Bayes Variable Selection in Semiparametric Linear Models pp. 437-447

Suprateek Kundu and David B. Dunson