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 108, issue 504, 2013

The International Year of Statistics: A Celebration and A Call to Action pp. 1141-1146

Marie Davidian

Statistical Learning With Time Series Dependence: An Application to Scoring Sleep in Mice pp. 1147-1162

Blakeley B. McShane, Shane T. Jensen, Allan I. Pack and Abraham J. Wyner

Comment pp. 1162-1163

Kerby Shedden

Comment pp. 1164-1164

Donglin Zeng and Yuanjia Wang

Rejoinder pp. 1165-1172

Blakeley B. McShane, Shane T. Jensen, Allan I. Pack and Abraham J. Wyner

Optimal Allocation of Gold Standard Testing Under Constrained Availability: Application to Assessment of HIV Treatment Failure pp. 1173-1188

Tao Liu, Joseph W. Hogan, Lisa Wang, Shangxuan Zhang and Rami Kantor

Semiparametric Bayesian Estimation for Marginal Parametric Potential Outcome Modeling: Application to Causal Inference pp. 1189-1204

Takahiro Hoshino

Frailty Models for Familial Risk With Application to Breast Cancer pp. 1205-1215

Malka Gorfine*, Li Hsu* and Giovanni Parmigiani

A Marginal Approach to Reduced-Rank Penalized Spline Smoothing With Application to Multilevel Functional Data pp. 1216-1229

Huaihou Chen, Yuanjia Wang, Myunghee Cho Paik and H. Alex Choi

Bayesian Hierarchical Modeling of the HIV Evolutionary Response to Therapy pp. 1230-1242

Shane T. Jensen, Jared Park, Alexander F. Braunstein and Jon Mcauliffe

Generalized Jackknife Estimators of Weighted Average Derivatives pp. 1243-1256

Matias Cattaneo, Richard Crump and Michael Jansson

Comment pp. 1257-1258

Donglin Zeng

Comment pp. 1258-1260

Holger Dette

Comment pp. 1260-1262

Enno Mammen

Comment pp. 1262-1264

Xiaohong Chen

Rejoinder pp. 1265-1268

Matias Cattaneo, Richard Crump and Michael Jansson

Classification Using Censored Functional Data pp. 1269-1283

Aurore Delaigle and Peter Hall

Selecting the Number of Principal Components in Functional Data pp. 1284-1294

Yehua Li, Naisyin Wang and Raymond J. Carroll

Sampling for Conditional Inference on Network Data pp. 1295-1307

Jingfei Zhang and Yuguo Chen

Ensemble Subsampling for Imbalanced Multivariate Two-Sample Tests pp. 1308-1323

Lisha Chen, Winston Dou and Zhihua Qiao

Bayesian Modeling of Temporal Dependence in Large Sparse Contingency Tables pp. 1324-1338

Tsuyoshi Kunihama and David B. Dunson

Bayesian Inference for Logistic Models Using Pólya--Gamma Latent Variables pp. 1339-1349

Nicholas G. Polson, James G. Scott and Jesse Windle

Two-Stage Importance Sampling With Mixture Proposals pp. 1350-1365

Wentao Li, Zhiqiang Tan and Rong Chen

Epistatic Clustering: A Model-Based Approach for Identifying Links Between Clusters pp. 1366-1384

Jian Zhang

Multiple Testing in a Two-Stage Adaptive Design With Combination Tests Controlling FDR pp. 1385-1401

Sanat K. Sarkar, Jingjing Chen and Wenge Guo

Multivariate Density Estimation by Bayesian Sequential Partitioning pp. 1402-1410

Luo Lu, Hui Jiang and Wing H. Wong

On Optimal Designs for Nonlinear Models: A General and Efficient Algorithm pp. 1411-1420

Min Yang, Stefanie Biedermann and Elina Tang

Local Linear Regression on Manifolds and Its Geometric Interpretation pp. 1421-1434

Ming-yen Cheng and Hau-tieng Wu

Generalized Residuals for General Models for Contingency Tables With Application to Item Response Theory pp. 1435-1444

Shelby J. Haberman and Sandip Sinharay

Locally Adaptive Bayes Nonparametric Regression via Nested Gaussian Processes pp. 1445-1456

Bin Zhu and David B. Dunson

Case Definition and Design Sensitivity pp. 1457-1468

Dylan S. Small, Jing Cheng, M. Elizabeth Halloran and Paul R. Rosenbaum

Hidden Markov Models With Applications in Cell Adhesion Experiments pp. 1469-1479

Ying Hung, Yijie Wang, Veronika Zarnitsyna, Cheng Zhu and C. F. Jeff Wu

Discovering Findings That Replicate From a Primary Study of High Dimension to a Follow-Up Study pp. 1480-1492

Marina Bogomolov and Ruth Heller

Adaptive Testing of Conditional Association Through Recursive Mixture Modeling pp. 1493-1505

Li Ma

A Progressive Block Empirical Likelihood Method for Time Series pp. 1506-1516

Young Min Kim, Soumendra N. Lahiri and Daniel J. Nordman

Cure Rate Quantile Regression for Censored Data With a Survival Fraction pp. 1517-1531

Yuanshan Wu and Guosheng Yin

Resampling Procedures for Making Inference Under Nested Case--Control Studies pp. 1532-1544

Tianxi Cai and Yingye Zheng

Volume 108, issue 503, 2013

Multinomial Inverse Regression for Text Analysis pp. 755-770

Matt Taddy

Comment pp. 770-771

Justin Grimmer

Comment pp. 771-772

David M. Blei

Rejoinder: Efficiency and Structure in MNIR pp. 772-774

Matt Taddy

A Nonparametric Bayesian Model for Local Clustering With Application to Proteomics pp. 775-788

Juhee Lee, Peter Müller, Yitan Zhu and Yuan Ji

Sensitivity Analysis of Per-Protocol Time-to-Event Treatment Efficacy in Randomized Clinical Trials pp. 789-800

Peter B. Gilbert, Bryan E. Shepherd and Michael G. Hudgens

Integrated Modeling of European Migration pp. 801-819

James Raymer, Arkadiusz Wiśniowski, Jonathan J. Forster, Peter W. F. Smith and Jakub Bijak

A Nonparametric Spatial Model for Periodontal Data With Nonrandom Missingness pp. 820-831

Brian J. Reich, Dipankar Bandyopadhyay and Howard D. Bondell

Estimation and Inference Concerning Ordered Means in Analysis of Covariance Models With Interactions pp. 832-839

Jason L. Morrissette and Michael P. Mcdermott

Markov-Modulated Nonhomogeneous Poisson Processes for Modeling Detections in Surveys of Marine Mammal Abundance pp. 840-851

Roland Langrock, David L. Borchers and Hans J. Skaug

Second-Order Exchangeability Analysis for Multimodel Ensembles pp. 852-863

Jonathan Rougier, Michael Goldstein and Leanna House

Spatial Shrinkage Estimation of Diffusion Tensors on Diffusion-Weighted Imaging Data pp. 864-875

Tao Yu and Pengfei Li

An Integrative Bayesian Modeling Approach to Imaging Genetics pp. 876-891

Francesco C. Stingo, Michele Guindani, Marina Vannucci and Vince D. Calhoun

A Phase I Bayesian Adaptive Design to Simultaneously Optimize Dose and Schedule Assignments Both Between and Within Patients pp. 892-901

Jin Zhang and Thomas M. Braun

A Latent Source Model to Detect Multiple Spatial Clusters With Application in a Mobile Sensor Network for Surveillance of Nuclear Materials pp. 902-913

Jerry Q. Cheng, Minge Xie, Rong Chen and Fred Roberts

Maximum L q -Likelihood Estimation via the Expectation-Maximization Algorithm: A Robust Estimation of Mixture Models pp. 914-928

Yichen Qin and Carey E. Priebe

Nonparametric Mixture of Regression Models pp. 929-941

Mian Huang, Runze Li and Shaoli Wang

Validation of Visual Statistical Inference, Applied to Linear Models pp. 942-956

Mahbubul Majumder, Heike Hofmann and Dianne Cook

Latent Supervised Learning pp. 957-970

Susan Wei and Michael R. Kosorok

Nonparametric Estimation of Conditional Distributions and Rank-Tracking Probabilities With Time-Varying Transformation Models in Longitudinal Studies pp. 971-982

Colin O. Wu and Xin Tian

Time-Varying Additive Models for Longitudinal Data pp. 983-998

Xiaoke Zhang, Byeong U. Park and Jane-ling Wang

Partial Factor Modeling: Predictor-Dependent Shrinkage for Linear Regression pp. 999-1008

P. Richard Hahn, Carlos M. Carvalho and Sayan Mukherjee

Parameter Estimation of Partial Differential Equation Models pp. 1009-1020

Xiaolei Xun, Jiguo Cao, Bani Mallick, Arnab Maity and Raymond J. Carroll

Wavelet-Variance-Based Estimation for Composite Stochastic Processes pp. 1021-1030

Stéphane Guerrier, Jan Skaloud, Yannick Stebler and Maria-Pia Victoria-Feser

Efficiency for Regularization Parameter Selection in Penalized Likelihood Estimation of Misspecified Models pp. 1031-1043

Cheryl J. Flynn, Clifford Hurvich and Jeffrey S. Simonoff

Asymptotic Equivalence of Regularization Methods in Thresholded Parameter Space pp. 1044-1061

Yingying Fan and Jinchi Lv

Estimation of Extreme Conditional Quantiles Through Power Transformation pp. 1062-1074

Huixia Judy Wang and Deyuan Li

Estimation of Censored Quantile Regression for Panel Data With Fixed Effects pp. 1075-1089

Antonio Galvao, Carlos Lamarche and Luiz Lima

Semiparametric Efficient and Robust Estimation of an Unknown Symmetric Population Under Arbitrary Sample Selection Bias pp. 1090-1104

Yanyuan Ma, Mijeong Kim and Marc G. Genton

From Depth to Local Depth: A Focus on Centrality pp. 1105-1119

Davy Paindaveine and Germain Van bever

Using Secondary Outcomes to Sharpen Inference in Randomized Experiments With Noncompliance pp. 1120-1131

Fabrizia Mealli and Barbara Pacini

Correction pp. 1138-1139

Ryan Martin and Chuanhai Liu

Volume 108, issue 502, 2013

In Praise of Simplicity not Mathematistry! Ten Simple Powerful Ideas for the Statistical Scientist pp. 359-369

Roderick J. Little

Partially Ordered Mixed Hidden Markov Model for the Disablement Process of Older Adults pp. 370-384

Edward Ip, Qiang Zhang, Jack Rejeski, Tammy Harris and Stephen Kritchevsky

A Generalized Fellegi--Sunter Framework for Multiple Record Linkage With Application to Homicide Record Systems pp. 385-397

Mauricio Sadinle and Stephen E. Fienberg

Tracking Multiple Targets Using Binary Decisions From Wireless Sensor Networks pp. 398-410

Natallia Katenka, Elizaveta Levina and George Michailidis

Spline-Based Emulators for Radiative Shock Experiments With Measurement Error pp. 411-428

Avishek Chakraborty, Bani K. Mallick, Ryan G. Mcclarren, Carolyn C. Kuranz, Derek Bingham, Michael J. Grosskopf, Erica M. Rutter, Hayes F. Stripling and R. Paul Drake

A Bayesian Reliability Analysis of Neutron-Induced Errors in High Performance Computing Hardware pp. 429-440

Curtis B. Storlie, Sarah E. Michalak, Heather M. Quinn, Andrew J. Dubois, Steven A. Wender and David H. Dubois

Treatment Evaluation With Selective Participation and Ineligibles pp. 441-455

Monica Costa Dias, Hidehiko Ichimura and Gerard van den Berg

Straight to the Source: Detecting Aggregate Objects in Astronomical Images With Proper Error Control pp. 456-468

David A. Friedenberg and Christopher R. Genovese

Mediation and Spillover Effects in Group-Randomized Trials: A Case Study of the 4Rs Educational Intervention pp. 469-482

Tyler J. Vanderweele, Guanglei Hong, Stephanie M. Jones and Joshua L. Brown

A Hierarchical Bayesian Approach for Aerosol Retrieval Using MISR Data pp. 483-493

Yueqing Wang, Xin Jiang, Bin Yu and Ming Jiang

Bayesian Hierarchical Poisson Regression Models: An Application to a Driving Study With Kinematic Events pp. 494-503

Sungduk Kim, Zhen Chen, Zhiwei Zhang, Bruce G. Simons-Morton and Paul S. Albert

Partially Identified Treatment Effects Under Imperfect Compliance: The Case of Domestic Violence pp. 504-513

Zahra Siddique

A Study of Mexican Free-Tailed Bat Chirp Syllables: Bayesian Functional Mixed Models for Nonstationary Acoustic Time Series pp. 514-526

Josue G. Martinez, Kirsten M. Bohn, Raymond J. Carroll and Jeffrey S. Morris

Effectively Selecting a Target Population for a Future Comparative Study pp. 527-539

Lihui Zhao, Lu Tian, Tianxi Cai, Brian Claggett and L. J. Wei

Tensor Regression with Applications in Neuroimaging Data Analysis pp. 540-552

Hua Zhou, Lexin Li and Hongtu Zhu

Auxiliary Marker-Assisted Classification in the Absence of Class Identifiers pp. 553-565

Yuanjia Wang, Huaihou Chen, Donglin Zeng, Christine Mauro, Naihua Duan and M. Katherine Shear

Unified Analysis of Secondary Traits in Case--Control Association Studies pp. 566-576

Arpita Ghosh, Fred A. Wright and Fei Zou

Clustering High-Dimensional Time Series Based on Parallelism pp. 577-588

Ting Zhang

Bayesian Subset Modeling for High-Dimensional Generalized Linear Models pp. 589-606

Faming Liang, Qifan Song and Kai Yu

Empirical Bayes Confidence Intervals for Selected Parameters in High-Dimensional Data pp. 607-618

J. T. Gene Hwang and Zhigen Zhao

Oracally Efficient Two-Step Estimation of Generalized Additive Model pp. 619-631

Rong Liu, Lijian Yang and Wolfgang Härdle

Robust Variable Selection With Exponential Squared Loss pp. 632-643

Xueqin Wang, Yunlu Jiang, Mian Huang and Heping Zhang

Efficient Robust Regression via Two-Stage Generalized Empirical Likelihood pp. 644-655

Howard D. Bondell and Leonard A. Stefanski

Nonparametric Identification of Copula Structures pp. 666-675

Bo Li and Marc G. Genton

Copula-Based Regression Estimation and Inference pp. 676-688

Hohsuk Noh, Anouar El Ghouch and Taoufik Bouezmarni

Simulated Method of Moments Estimation for Copula-Based Multivariate Models pp. 689-700

Dong Hwan Oh and Andrew Patton

Linear Transformation Model With Parametric Covariate Transformations pp. 701-712

Chunpeng Fan and Jason P. Fine

Simultaneous Grouping Pursuit and Feature Selection Over an Undirected Graph pp. 713-725

Yunzhang Zhu, Xiaotong Shen and Wei Pan

Heteroscedasticity and Autocorrelation Robust Structural Change Detection pp. 726-740

Zhou Zhou

The Poisson Compound Decision Problem Revisited pp. 741-749

Lawrence D. Brown, Eitan Greenshtein and Ya'acov Ritov

Volume 108, issue 501, 2013

Building the Big Tent for Statistics pp. 1-6

Robert N. Rodriguez

Modeling and Forecasting Daily Electricity Load Curves: A Hybrid Approach pp. 7-21

Haeran Cho, Yannig Goude, Xavier Brossat and Qiwei Yao

Circuit Theory and Model-Based Inference for Landscape Connectivity pp. 22-33

Ephraim M. Hanks and Mevin B. Hooten

A Bayesian Procedure for File Linking to Analyze End-of-Life Medical Costs pp. 34-47

Roee Gutman, Christopher C. Afendulis and Alan M. Zaslavsky

A Nested Dirichlet Process Analysis of Cluster Randomized Trial Data With Application in Geriatric Care Assessment pp. 48-68

Man-Wai Ho, Wanzhu Tu, Pulak Ghosh and Ram C. Tiwari

A Bayesian Graphical Model for ChIP-Seq Data on Histone Modifications pp. 69-80

Riten Mitra, Peter Müller, Shoudan Liang, Lu Yue and Yuan Ji

Imputation in High-Dimensional Economic Data as Applied to the Agricultural Resource Management Survey pp. 81-95

Michael W. Robbins, Sujit K. Ghosh and Joshua D. Habiger

Reconstructing Past Populations With Uncertainty From Fragmentary Data pp. 96-110

Mark C. Wheldon, Adrian E. Raftery, Samuel J. Clark and Patrick Gerland

Sea Surface Temperature Modeling using Radial Basis Function Networks With a Dynamically Weighted Particle Filter pp. 111-123

Duchwan Ryu, Faming Liang and Bani K. Mallick

Dynamic Bayesian Forecasting of Presidential Elections in the States pp. 124-134

Drew A. Linzer

Effect Modification and Design Sensitivity in Observational Studies pp. 135-148

Jesse Y. Hsu, Dylan S. Small and Paul R. Rosenbaum

Estimating Latent Processes on a Network From Indirect Measurements pp. 149-164

Edoardo M. Airoldi and Alexander W. Blocker

Selection Adjusted Confidence Intervals With More Power to Determine the Sign pp. 165-176

Asaf Weinstein, William Fithian and Yoav Benjamini

Nonparametric Identification and Semiparametric Estimation of Classical Measurement Error Models Without Side Information pp. 177-186

Susanne Schennach and Yingyao Hu

Classification via Bayesian Nonparametric Learning of Affine Subspaces pp. 187-201

Garritt Page, Abhishek Bhattacharya and David Dunson

Extending the State-Space Model to Accommodate Missing Values in Responses and Covariates pp. 202-216

Arlene Naranjo, A. Alexandre Trindade and George Casella

A Unified Approach to Semiparametric Transformation Models Under General Biased Sampling Schemes pp. 217-227

Jane Paik Kim, Wenbin Lu, Tony Sit and Zhiliang Ying

On a Principal Varying Coefficient Model pp. 228-236

Qian Jiang, Hansheng Wang, Yingcun Xia and Guohua Jiang

On Partial Sufficient Dimension Reduction With Applications to Partially Linear Multi-Index Models pp. 237-246

Zhenghui Feng, Xuerong Meggie Wen, Zhou Yu and Lixing Zhu

High-Dimensional Sparse Additive Hazards Regression pp. 247-264

Wei Lin and Jinchi Lv

Two-Sample Covariance Matrix Testing and Support Recovery in High-Dimensional and Sparse Settings pp. 265-277

Tony Cai, Weidong Liu and Yin Xia

Distribution-Free Prediction Sets pp. 278-287

Jing Lei, James Robins and Larry Wasserman

Learning Sparse Causal Gaussian Networks With Experimental Intervention: Regularization and Coordinate Descent pp. 288-300

Fei Fu and Qing Zhou

Inferential Models: A Framework for Prior-Free Posterior Probabilistic Inference pp. 301-313

Ryan Martin and Chuanhai Liu

Misspecification Testing in a Class of Conditional Distributional Models pp. 314-324

Christoph Rothe and Dominik Wied

A Resampling-Based Stochastic Approximation Method for Analysis of Large Geostatistical Data pp. 325-339

Faming Liang, Yichen Cheng, Qifan Song, Jincheol Park and Ping Yang

On Sampling Strategies in Bayesian Variable Selection Problems With Large Model Spaces pp. 340-352

G. García-donato and M. A. Martínez-beneito