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 From Taylor & Francis Journals Bibliographic data for series maintained by Chris Longhurst (). Access Statistics for this journal.
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Volume 113, issue 524, 2018
- A Bayesian Variable Selection Approach Yields Improved Detection of Brain Activation From Complex-Valued fMRI pp. 1395-1410

- Cheng-Han Yu, Raquel Prado, Hernando Ombao and Daniel Rowe
- Placebo Response as a Latent Characteristic: Application to Analysis of Sequential Parallel Comparison Design Studies pp. 1411-1430

- Denis Rybin, Robert Lew, Michael J. Pencina, Maurizio Fava and Gheorghe Doros
- Polynomial Accelerated Solutions to a Large Gaussian Model for Imaging Biofilms: In Theory and Finite Precision pp. 1431-1442

- Albert E. Parker, Betsey Pitts, Lindsey Lorenz and Philip S. Stewart
- An Efficient Surrogate Model for Emulation and Physics Extraction of Large Eddy Simulations pp. 1443-1456

- Simon Mak, Chih-Li Sung, Xingjian Wang, Shiang-Ting Yeh, Yu-Hung Chang, V. Roshan Joseph, Vigor Yang and C. F. Jeff Wu
- Tracking the Impact of Media on Voter Choice in Real Time: A Bayesian Dynamic Joint Model pp. 1457-1475

- Bhuvanesh Pareek, Pulak Ghosh, Hugh N. Wilson, Emma K. Macdonald and Paul Baines
- Modeling Random Effects Using Global–Local Shrinkage Priors in Small Area Estimation pp. 1476-1489

- Xueying Tang, Malay Ghosh, Neung Soo Ha and Joseph Sedransk
- Malware Family Discovery Using Reversible Jump MCMC Sampling of Regimes pp. 1490-1502

- Alexander D. Bolton and Nicholas A. Heard
- To Wait or Not to Wait: Two-Way Functional Hazards Model for Understanding Waiting in Call Centers pp. 1503-1514

- Gen Li, Jianhua Z. Huang and Haipeng Shen
- Bayesian Semiparametric Mixed Effects Markov Models With Application to Vocalization Syntax pp. 1515-1527

- Abhra Sarkar, Jonathan Chabout, Joshua Jones Macopson, Erich D. Jarvis and David B. Dunson
- Fast Moment Estimation for Generalized Latent Dirichlet Models pp. 1528-1540

- Shiwen Zhao, Barbara E. Engelhardt, Sayan Mukherjee and David B. Dunson
- Interpretable Dynamic Treatment Regimes pp. 1541-1549

- Yichi Zhang, Eric B. Laber, Marie Davidian and Anastasios A. Tsiatis
- Efficient Estimation of the Nonparametric Mean and Covariance Functions for Longitudinal and Sparse Functional Data pp. 1550-1564

- Ling Zhou, Huazhen Lin and Hua Liang
- Probabilities of Concurrent Extremes pp. 1565-1582

- Clément Dombry, Mathieu Ribatet and Stilian Stoev
- Linear Hypothesis Testing in Dense High-Dimensional Linear Models pp. 1583-1600

- Yinchu Zhu and Jelena Bradic
- Optimal Penalized Function-on-Function Regression Under a Reproducing Kernel Hilbert Space Framework pp. 1601-1611

- Xiaoxiao Sun, Pang Du, Xiao Wang and Ping Ma
- Dynamic Modeling of Conditional Quantile Trajectories, With Application to Longitudinal Snippet Data pp. 1612-1624

- Matthew Dawson and Hans-Georg Müller
- Modeling Tangential Vector Fields on a Sphere pp. 1625-1636

- Minjie Fan, Debashis Paul, Thomas C. M. Lee and Tomoko Matsuo
- A Nonparametric Graphical Model for Functional Data With Application to Brain Networks Based on fMRI pp. 1637-1655

- Bing Li and Eftychia Solea
- Bayesian Estimation and Comparison of Moment Condition Models pp. 1656-1668

- Siddhartha Chib, Minchul Shin and Anna Simoni
- Reconciling Curvature and Importance Sampling Based Procedures for Summarizing Case Influence in Bayesian Models pp. 1669-1683

- Zachary M. Thomas, Steven N. MacEachern and Mario Peruggia
- Particle EM for Variable Selection pp. 1684-1697

- Veronika Ročková
- A Massive Data Framework for M-Estimators with Cubic-Rate pp. 1698-1709

- Chengchun Shi, Wenbin Lu and Rui Song
- Bayesian Approximate Kernel Regression With Variable Selection pp. 1710-1721

- Lorin Crawford, Kris C. Wood, Xiang Zhou and Sayan Mukherjee
- Over-Dispersed Age-Period-Cohort Models pp. 1722-1732

- Jonas Harnau and Bent Nielsen
- A Powerful Bayesian Test for Equality of Means in High Dimensions pp. 1733-1741

- Roger S. Zoh, Abhra Sarkar, Raymond J. Carroll and Bani K. Mallick
- Tractable Bayesian Variable Selection: Beyond Normality pp. 1742-1758

- David Rossell and Francisco J. Rubio
- Sparse Pairwise Likelihood Estimation for Multivariate Longitudinal Mixed Models pp. 1759-1769

- Francis K. C. Hui, Samuel Müller and A. H. Welsh
- Post-Selection Inference Following Aggregate Level Hypothesis Testing in Large-Scale Genomic Data pp. 1770-1783

- Ruth Heller, Nilanjan Chatterjee, Abba Krieger and Jianxin Shi
- Inference Under Covariate-Adaptive Randomization pp. 1784-1796

- Federico A. Bugni, Ivan Canay and Azeem Shaikh
- Sparsity Oriented Importance Learning for High-Dimensional Linear Regression pp. 1797-1812

- Chenglong Ye, Yi Yang and Yuhong Yang
- Diagnostic Checking in Multivariate ARMA Models With Dependent Errors Using Normalized Residual Autocorrelations pp. 1813-1827

- Yacouba Boubacar Maïnassara and Bruno Saussereau
- Mixtures of g-Priors in Generalized Linear Models pp. 1828-1845

- Yingbo Li and Merlise A. Clyde
Volume 113, issue 523, 2018
- Bayesian Neural Networks for Selection of Drug Sensitive Genes pp. 955-972

- Faming Liang, Qizhai Li and Lei Zhou
- Controlling the FDR in Imperfect Matches to an Incomplete Database pp. 973-982

- Uri Keich and William Stafford Noble
- Optimal Probability Weights for Inference With Constrained Precision pp. 983-991

- Michele Santacatterina and Matteo Bottai
- Latent Variable Poisson Models for Assessing the Regularity of Circadian Patterns over Time pp. 992-1002

- Sungduk Kim and Paul S. Albert
- Modeling Motor Learning Using Heteroscedastic Functional Principal Components Analysis pp. 1003-1015

- Daniel Backenroth, Jeff Goldsmith, Michelle D. Harran, Juan C. Cortes, John W. Krakauer and Tomoko Kitago
- A Bayesian Phase I/II Trial Design for Immunotherapy pp. 1016-1027

- Suyu Liu, Beibei Guo and Ying Yuan
- Maximum Rank Reproducibility: A Nonparametric Approach to Assessing Reproducibility in Replicate Experiments pp. 1028-1039

- Daisy Philtron, Yafei Lyu, Qunhua Li and Debashis Ghosh
- Front-Door Versus Back-Door Adjustment With Unmeasured Confounding: Bias Formulas for Front-Door and Hybrid Adjustments With Application to a Job Training Program pp. 1040-1049

- Adam N. Glynn and Konstantin Kashin
- On the Long-Run Volatility of Stocks pp. 1050-1069

- Carlos M. Carvalho, Hedibert F. Lopes and Robert E. McCulloch
- Cross-Screening in Observational Studies That Test Many Hypotheses pp. 1070-1084

- Qingyuan Zhao, Dylan S. Small and Paul R. Rosenbaum
- On Recursive Bayesian Predictive Distributions pp. 1085-1093

- P. Richard Hahn, Ryan Martin and Stephen G. Walker
- Distribution-Free Predictive Inference for Regression pp. 1094-1111

- Jing Lei, Max G’Sell, Alessandro Rinaldo, Ryan J. Tibshirani and Larry Wasserman
- Assessing Time-Varying Causal Effect Moderation in Mobile Health pp. 1112-1121

- Audrey Boruvka, Daniel Almirall, Katie Witkiewitz and Susan A. Murphy
- Quantitative Evaluation of the Trade-Off of Strengthened Instruments and Sample Size in Observational Studies pp. 1122-1134

- Ashkan Ertefaie, Dylan S. Small and Paul R. Rosenbaum
- Quasi-Likelihood Estimation of a Censored Autoregressive Model With Exogenous Variables pp. 1135-1145

- Chao Wang and Kung-Sik Chan
- A Weighted Edge-Count Two-Sample Test for Multivariate and Object Data pp. 1146-1155

- Hao Chen, Xu Chen and Yi Su
- False Discovery Rate Smoothing pp. 1156-1171

- Wesley Tansey, Oluwasanmi Koyejo, Russell A. Poldrack and James G. Scott
- Weighted False Discovery Rate Control in Large-Scale Multiple Testing pp. 1172-1183

- Pallavi Basu, T. Tony Cai, Kiranmoy Das and Wenguang Sun
- Oracle Estimation of a Change Point in High-Dimensional Quantile Regression pp. 1184-1194

- Sokbae (Simon) Lee, Yuan Liao, Myung Hwan Seo and Youngki Shin
- Optimal Control and Additive Perturbations Help in Estimating Ill-Posed and Uncertain Dynamical Systems pp. 1195-1209

- Quentin Clairon and Nicolas J.-B. Brunel
- On the Use of Reproducing Kernel Hilbert Spaces in Functional Classification pp. 1210-1218

- José R. Berrendero, Antonio Cuevas and José L. Torrecilla
- Functional Feature Construction for Individualized Treatment Regimes pp. 1219-1227

- Eric B. Laber and Ana-Maria Staicu
- Estimation and Inference of Heterogeneous Treatment Effects using Random Forests pp. 1228-1242

- Stefan Wager and Susan Athey
- Quantile-Optimal Treatment Regimes pp. 1243-1254

- Lan Wang, Yu Zhou, Rui Song and Ben Sherwood
- A Bayesian Machine Learning Approach for Optimizing Dynamic Treatment Regimes pp. 1255-1267

- Thomas A. Murray, Ying Yuan and Peter F. Thall
- Robust High-Dimensional Volatility Matrix Estimation for High-Frequency Factor Model pp. 1268-1283

- Jianqing Fan and Donggyu Kim
- Identifying Latent Structures in Restricted Latent Class Models pp. 1284-1295

- Gongjun Xu and Zhuoran Shang
- Modeling Persistent Trends in Distributions pp. 1296-1310

- Jonas Mueller, Tommi Jaakkola and David Gifford
- Edge Exchangeable Models for Interaction Networks pp. 1311-1326

- Harry Crane and Walter Dempsey
- Confidence Regions for Spatial Excursion Sets From Repeated Random Field Observations, With an Application to Climate pp. 1327-1340

- Max Sommerfeld, Stephan Sain and Armin Schwartzman
- A Randomized Sequential Procedure to Determine the Number of Factors pp. 1341-1349

- Lorenzo Trapani
- Inference in Linear Regression Models with Many Covariates and Heteroscedasticity pp. 1350-1361

- Matias Cattaneo, Michael Jansson and Whitney Newey
- On the Null Distribution of Bayes Factors in Linear Regression pp. 1362-1371

- Quan Zhou and Yongtao Guan
- Bayesian Inference in the Presence of Intractable Normalizing Functions pp. 1372-1390

- Jaewoo Park and Murali Haran
- Book Reviews pp. 1391-1394

- The Editors
Volume 113, issue 522, 2018
- Statistics: Essential Now More Than Ever pp. 489-493

- Barry D. Nussbaum
- A Permutation Test for the Regression Kink Design pp. 494-504

- Peter Ganong and Simon Jäger
- Estimating the Number of Sources in Magnetoencephalography Using Spiked Population Eigenvalues pp. 505-518

- Zhigang Yao, Ye Zhang, Zhidong Bai and William F. Eddy
- Scalable Bayesian Modeling, Monitoring, and Analysis of Dynamic Network Flow Data pp. 519-533

- Xi Chen, Kaoru Irie, David Banks, Robert Haslinger, Jewell Thomas and Mike West
- Statistical Methods for Standard Membrane-Feeding Assays to Measure Transmission Blocking or Reducing Activity in Malaria pp. 534-545

- Bruce J. Swihart, Michael P. Fay and Kazutoyo Miura
- A Tailored Multivariate Mixture Model for Detecting Proteins of Concordant Change Among Virulent Strains of Clostridium Perfringens pp. 546-559

- Kun Chen, Neha Mishra, Joan Smyth, Haim Bar, Elizabeth Schifano, Lynn Kuo and Ming-Hui Chen
- On Estimation of the Hazard Function From Population-Based Case–Control Studies pp. 560-570

- Li Hsu, Malka Gorfine and David Zucker
- A Unified Framework for Fitting Bayesian Semiparametric Models to Arbitrarily Censored Survival Data, Including Spatially Referenced Data pp. 571-581

- Haiming Zhou and Timothy Hanson
- Semiparametric Estimation of Longitudinal Medical Cost Trajectory pp. 582-592

- Liang Li, Chih-Hsien Wu, Jing Ning, Xuelin Huang, Ya-Chen Shih and Yu Shen
- Nested Hierarchical Functional Data Modeling and Inference for the Analysis of Functional Plant Phenotypes pp. 593-606

- Yuhang Xu, Yehua Li and Dan Nettleton
- Disentangling Bias and Variance in Election Polls pp. 607-614

- Houshmand Shirani-Mehr, David Rothschild, Sharad Goel and Andrew Gelman
- Model Selection for High-Dimensional Quadratic Regression via Regularization pp. 615-625

- Ning Hao, Yang Feng and Hao Helen Zhang
- Bayesian Regression Trees for High-Dimensional Prediction and Variable Selection pp. 626-636

- Antonio R. Linero
- Unsupervised Self-Normalized Change-Point Testing for Time Series pp. 637-648

- Ting Zhang and Liliya Lavitas
- Multivariate Functional Principal Component Analysis for Data Observed on Different (Dimensional) Domains pp. 649-659

- Clara Happ and Sonja Greven
- Boosting in the Presence of Outliers: Adaptive Classification With Nonconvex Loss Functions pp. 660-674

- Alexander Hanbo Li and Jelena Bradic
- Bayesian Nonparametric Calibration and Combination of Predictive Distributions pp. 675-685

- Federico Bassetti, Roberto Casarin and Francesco Ravazzolo
- Design-Based Maps for Finite Populations of Spatial Units pp. 686-697

- L. Fattorini, M. Marcheselli and L. Pratelli
- Group-Linear Empirical Bayes Estimates for a Heteroscedastic Normal Mean pp. 698-710

- Asaf Weinstein, Zhuang Ma, Lawrence D. Brown and Cun-Hui Zhang
- Equivalence of Regression Curves pp. 711-729

- Holger Dette, Kathrin Möllenhoff, Stanislav Volgushev and Frank Bretz
- On Reject and Refine Options in Multicategory Classification pp. 730-745

- Chong Zhang, Wenbo Wang and Xingye Qiao
- Dimensionality Reduction and Variable Selection in Multivariate Varying-Coefficient Models With a Large Number of Covariates pp. 746-754

- Kejun He, Heng Lian, Shujie Ma and Jianhua Z. Huang
- Hidden Population Size Estimation From Respondent-Driven Sampling: A Network Approach pp. 755-766

- Forrest W. Crawford, Jiacheng Wu and Robert Heimer
- On the Effect of Bias Estimation on Coverage Accuracy in Nonparametric Inference pp. 767-779

- Sebastian Calonico, Matias Cattaneo and Max Farrell
- Parametric-Rate Inference for One-Sided Differentiable Parameters pp. 780-788

- Alexander R. Luedtke and Mark J. van der Laan
- Distribution-Free Detection of Structured Anomalies: Permutation and Rank-Based Scans pp. 789-801

- Ery Arias-Castro, Rui M. Castro, Ervin Tánczos and Meng Wang
- Efficient Functional ANOVA Through Wavelet-Domain Markov Groves pp. 802-818

- Li Ma and Jacopo Soriano
- Invariant Inference and Efficient Computation in the Static Factor Model pp. 819-828

- Joshua Chan, Roberto Leon-Gonzalez and Rodney Strachan
- Optimal Subsampling for Large Sample Logistic Regression pp. 829-844

- HaiYing Wang, Rong Zhu and Ping Ma
- Residuals and Diagnostics for Ordinal Regression Models: A Surrogate Approach pp. 845-854

- Dungang Liu and Heping Zhang
- The Bouncy Particle Sampler: A Nonreversible Rejection-Free Markov Chain Monte Carlo Method pp. 855-867

- Alexandre Bouchard-Côté, Sebastian J. Vollmer and Arnaud Doucet
- Using Standard Tools From Finite Population Sampling to Improve Causal Inference for Complex Experiments pp. 868-881

- Rahul Mukerjee, Tirthankar Dasgupta and Donald B. Rubin
- Nonparametric Maximum Likelihood Estimators of Time-Dependent Accuracy Measures for Survival Outcome Under Two-Stage Sampling Designs pp. 882-892

- Dandan Liu, Tianxi Cai, Anna Lok and Yingye Zheng
- Efficient Estimation for Semiparametric Structural Equation Models With Censored Data pp. 893-905

- Kin Yau Wong, Donglin Zeng and D. Y. Lin
- Testing for Inequality Constraints in Singular Models by Trimming or Winsorizing the Variance Matrix pp. 906-918

- Ori Davidov, Casey M. Jelsema and Shyamal Peddada
- Semiparametric Ultra-High Dimensional Model Averaging of Nonlinear Dynamic Time Series pp. 919-932

- Jia Chen, Degui Li, Oliver Linton and Zudi Lu
- Partial Identification of the Average Treatment Effect Using Instrumental Variables: Review of Methods for Binary Instruments, Treatments, and Outcomes pp. 933-947

- Sonja A. Swanson, Miguel A. Hernán, Matthew Miller, James M. Robins and Thomas S. Richardson
- Book Reviews pp. 948-953

- The Editors
Volume 113, issue 521, 2018
- Learning Optimal Personalized Treatment Rules in Consideration of Benefit and Risk: With an Application to Treating Type 2 Diabetes Patients With Insulin Therapies pp. 1-13

- Yuanjia Wang, Haoda Fu and Donglin Zeng
- Nonparametric Adjustment for Measurement Error in Time-to-Event Data: Application to Risk Prediction Models pp. 14-25

- Danielle Braun, Malka Gorfine, Hormuzd A. Katki, Argyrios Ziogas and Giovanni Parmigiani
- The Effect of Probing “Don’t Know” Responses on Measurement Quality and Nonresponse in Surveys pp. 26-40

- Jouni Kuha, Sarah Butt, Myrsini Katsikatsou and Chris J. Skinner
- Analyzing Two-Stage Experiments in the Presence of Interference pp. 41-55

- Guillaume Basse and Avi Feller
- Compression and Conditional Emulation of Climate Model Output pp. 56-67

- Joseph Guinness and Dorit Hammerling
- Modeling for Dynamic Ordinal Regression Relationships: An Application to Estimating Maturity of Rockfish in California pp. 68-80

- Maria DeYoreo and Athanasios Kottas
- BNP-Seq: Bayesian Nonparametric Differential Expression Analysis of Sequencing Count Data pp. 81-94

- Siamak Zamani Dadaneh, Xiaoning Qian and Mingyuan Zhou
- Variable Selection for Skewed Model-Based Clustering: Application to the Identification of Novel Sleep Phenotypes pp. 95-110

- Meredith L. Wallace, Daniel J. Buysse, Anne Germain, Martica H. Hall and Satish Iyengar
- Modeling Heterogeneity in Healthcare Utilization Using Massive Medical Claims Data pp. 111-121

- Ross P. Hilton, Yuchen Zheng and Nicoleta Serban
- Pair Copula Constructions for Insurance Experience Rating pp. 122-133

- Peng Shi and Lu Yang
- A Bayesian Approach for Estimating Dynamic Functional Network Connectivity in fMRI Data pp. 134-151

- Ryan Warnick, Michele Guindani, Erik Erhardt, Elena Allen, Vince Calhoun and Marina Vannucci
- Mission CO2ntrol: A Statistical Scientist's Role in Remote Sensing of Atmospheric Carbon Dioxide pp. 152-168

- Noel Cressie
- Comment pp. 168-170

- Petra M. Kuhnert
- Comment pp. 171-173

- William F. Christensen and C. Shane Reese
- Comment pp. 173-175

- Frédéric Chevallier and François-Marie Bréon
- Comment pp. 176-178

- Marc G. Genton and Jaehong Jeong
- Rejoinder pp. 178-181

- Noel Cressie
- Minimax Optimal Procedures for Locally Private Estimation pp. 182-201

- John C. Duchi, Michael I. Jordan and Martin J. Wainwright
- Comment pp. 201-203

- Anderson Y. Zhang and Harrison H. Zhou
- Comment pp. 203-204

- Alfred Hero
- Comment pp. 204-207

- Vishesh Karwa
- Comment pp. 207-208

- Moritz Hardt
- Comment pp. 208-211

- Aaron Roth
- Rejoinder pp. 212-215

- John C. Duchi, Michael I. Jordan and Martin J. Wainwright
- Martingale Difference Divergence Matrix and Its Application to Dimension Reduction for Stationary Multivariate Time Series pp. 216-229

- Chung Eun Lee and Xiaofeng Shao
- Exact p-Values for Network Interference pp. 230-240

- Susan Athey, Dean Eckles and Guido Imbens
- Network Cross-Validation for Determining the Number of Communities in Network Data pp. 241-251

- Kehui Chen and Jing Lei
- ECA: High-Dimensional Elliptical Component Analysis in Non-Gaussian Distributions pp. 252-268

- Fang Han and Han Liu
- Classified Mixed Model Prediction pp. 269-279

- Jiming Jiang, J. Sunil Rao, Jie Fan and Thuan Nguyen
- A General Framework for Estimation and Inference From Clusters of Features pp. 280-293

- Stephen Reid, Jonathan Taylor and Robert Tibshirani
- Analysis of Gap Times Based on Panel Count Data With Informative Observation Times and Unknown Start Time pp. 294-305

- Ling Ma and Rajeshwari Sundaram
- Block-Diagonal Covariance Selection for High-Dimensional Gaussian Graphical Models pp. 306-314

- Emilie Devijver and Mélina Gallopin
- Error Variance Estimation in Ultrahigh-Dimensional Additive Models pp. 315-327

- Zhao Chen, Jianqing Fan and Runze Li
- Multiple Testing of Submatrices of a Precision Matrix With Applications to Identification of Between Pathway Interactions pp. 328-339

- Yin Xia, Tianxi Cai and T. Tony Cai
- Mixture Models With a Prior on the Number of Components pp. 340-356

- Jeffrey W. Miller and Matthew T. Harrison
- Conditional Modeling of Longitudinal Data With Terminal Event pp. 357-368

- Shengchun Kong, Bin Nan, John D. Kalbfleisch, Rajiv Saran and Richard Hirth
- On Inverse Probability Weighting for Nonmonotone Missing at Random Data pp. 369-379

- BaoLuo Sun and Eric J. Tchetgen Tchetgen
- Embracing the Blessing of Dimensionality in Factor Models pp. 380-389

- Quefeng Li, Guang Cheng, Jianqing Fan and Yuyan Wang
- Balancing Covariates via Propensity Score Weighting pp. 390-400

- Fan Li, Kari Lock Morgan and Alan M. Zaslavsky
- Bayesian Semiparametric Multivariate Density Deconvolution pp. 401-416

- Abhra Sarkar, Debdeep Pati, Antik Chakraborty, Bani K. Mallick and Raymond J. Carroll
- Correlated Random Measures pp. 417-430

- Rajesh Ranganath and David M. Blei
- The Spike-and-Slab LASSO pp. 431-444

- Veronika Ročková and Edward I. George
- Group Regularized Estimation Under Structural Hierarchy pp. 445-454

- Yiyuan She, Zhifeng Wang and He Jiang
- Multi-Armed Bandit for Species Discovery: A Bayesian Nonparametric Approach pp. 455-466

- Marco Battiston, Stefano Favaro and Yee Whye Teh
- Factor Copula Models for Replicated Spatial Data pp. 467-479

- Pavel Krupskii, Raphaël Huser and Marc G. Genton
- Corrigendum pp. 486-486

- The Editors
- Erratum pp. 487-487

- The Editors
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