Journal of the American Statistical Association

Article	Citations
A Semiparametric Inverse Reinforcement Learning Approach to Characterize Decision Making for Mental Disorders	195
On Robustness of Individualized Decision Rules	187
Classified Mixed Model Projections	124
Coverage Properties of Empirical Bayes Intervals: A Discussion of “Confidence Intervals for Nonparametric Empirical Bayes Analysis” by Ignatiadis and Wager	98
Correction to “Modeling Time-Varying Random Objects and Dynamic Networks”	84
Inference of Breakpoints in High-dimensional Time Series	69
Handbook of Bayesian, Fiducial, and Frequentist Inference	63
In Nonparametric and High-Dimensional Models, Bayesian Ignorability is an Informative Prior	60
Analysis of Variance of Tensor Product Reproducing Kernel Hilbert Spaces on Metric Spaces	58
Variable Selection Via Thompson Sampling	54
Greedy Segmentation for a Functional Data Sequence	53
U-Statistic Reduction: Higher-Order Accurate Risk Control and Statistical-Computational Trade-Off	49
Combining Matching and Synthetic Control to Tradeoff Biases From Extrapolation and Interpolation	45
Off-Policy Confidence Interval Estimation with Confounded Markov Decision Process	42
Subspace Estimation with Automatic Dimension and Variable Selection in Sufficient Dimension Reduction	41
Kernel Estimation of Bivariate Time-Varying Coefficient Model for Longitudinal Data with Terminal Event	39
Censored Interquantile Regression Model with Time-Dependent Covariates	33
Bayesian Conditional Transformation Models	32
Rejoinder: Confidence Intervals for Nonparametric Empirical Bayes Analysis	31
Rejoinder: A Scale-free Approach for False Discovery Rate Control in Generalized Linear Models	29
Modern Applied Regressions: Bayesian and Frequentist Analysis of Categorical and Limited Response variables with R and StanModern Applied Regressions: Bayesian and Frequentist Analysis of Categorical	29
Estimation and Variable Selection for Interval-Censored Failure Time Data with Random Change Point and Application to Breast Cancer Study	28
Rejoinder: LESA: Longitudinal Elastic Shape Analysis of Brain Subcortical Structures	27
Hypothesis Tests for Structured Rank Correlation Matrices	26
Distributional Outcome Regression via Quantile Functions and its Application to Modelling Continuously Monitored Heart Rate and Physical Activity	26

Reversible Jump PDMP Samplers for Variable Selection	24
Sparse Identification and Estimation of Large-Scale Vector AutoRegressive Moving Averages	23
Comments on “Data Fission: Splitting a Single Data Point”	23
Coordinatewise Gaussianization: Theories and Applications	23
Covariance Estimation for Matrix-valued Data	22
Inferring Causal Effect of a Digital Communication Strategy under a Latent Sequential Ignorability Assumption and Treatment Noncompliance	21
Node-Level Community Detection within Edge Exchangeable Models for Interaction Processes	21
Bootstrap Prediction Bands for Functional Time Series	21
Enveloped Huber Regression	21
Optimal Dynamic Treatment Regimes and Partial Welfare Ordering	21
Posterior Predictive Design for Phase I Clinical Trials	20
Sparse Bayesian Multidimensional Item Response Theory	20
Spectral Density Estimation for Nonstationary Data With Nonzero Mean Function	20
Inference in High-Dimensional Multivariate Response Regression with Hidden Variables	20
Soccer Analytics: An Introduction Using R	20
Covariate-Informed Latent Interaction Models: Addressing Geographic & Taxonomic Bias in Predicting Bird–Plant Interactions	20
Modeling the Extremes of Bivariate Mixture Distributions With Application to Oceanographic Data	20
Theory of Statistical Inference	19
Two-Way Truncated Linear Regression Models with Extremely Thresholding Penalization	19
A Random Projection Approach to Hypothesis Tests in High-Dimensional Single-Index Models	18
Matching on Generalized Propensity Scores with Continuous Exposures	18
Kernel Meets Sieve: Transformed Hazards Models with Sparse Longitudinal Covariates	17
Individualized Group Learning	17
Network Varying Coefficient Model	17
A Feasibility Study of Differentially Private Summary Statistics and Regression Analyses with Evaluations on Administrative and Survey Data	17
Robust Leave-One-Out Cross-Validation for High-Dimensional Bayesian Models	17
eDNAPlus: A Unifying Modeling Framework for DNA-based Biodiversity Monitoring	16
Model-Based Machine Learning	16
Statistical Prediction and Machine Learning.	16
CARE: Large Precision Matrix Estimation for Compositional Data	16
Generalized Bayesian Additive Regression Trees Models: Beyond Conditional Conjugacy	15
Matrix Completion, Counterfactuals, and Factor Analysis of Missing Data	15
Efficient Estimation for Censored Quantile Regression	15
Statistical Analytics for Health Data Science with SAS and R	15
Testing Directed Acyclic Graph via Structural, Supervised and Generative Adversarial Learning	15
Efficient Estimation in the Fine and Gray Model	15
On the Comparative Analysis of Average Treatment Effects Estimation via Data Combination	15
Weighted Functional Data Analysis for the Calibration of a Ground Motion Model in Italy	15
Graphical Principal Component Analysis of Multivariate Functional Time Series	14
Comment on: “Confidence Intervals for Nonparametric Empirical Bayes Analysis” by Ignatiadis and Wager	14
On Robustness of Principal Component Regression	14
A Unified Inference for Predictive Quantile Regression	13
Rejoinder	13
Discussion of “LESA: Longitudinal Elastic Shape Analysis of Brain Subcortical Structures”	13
Matching One Sample According to Two Criteria in Observational Studies	13
Variable Selection for Global Fréchet Regression	13
Inference for High-Dimensional Exchangeable Arrays	13
Group Network Hawkes Process	13
Do We Exploit all Information for Counterfactual Analysis? Benefits of Factor Models and Idiosyncratic Correction	13
Assessing the Most Vulnerable Subgroup to Type II Diabetes Associated with Statin Usage: Evidence from Electronic Health Record Data	13

Bayesian Landmark-Based Shape Analysis of Tumor Pathology Images	13
Large-Scale Low-Rank Gaussian Process Prediction with Support Points	13
GEE-Assisted Variable Selection for Latent Variable Models with Multivariate Binary Data	13
Models for Multi-State Survival Data: Rates, Risks, and Pseudo-Values	12
Accelerating Bayesian Structure Learning in Sparse Gaussian Graphical Models	12
Estimating Heterogeneous Exposure Effects in the Case-Crossover Design Using BART	12
Asymptotic Distribution-Free Independence Test for High-Dimension Data	12
Doubly Flexible Estimation under Label Shift	12
Minimum Resource Threshold Policy Under Partial Interference	11
Hypotheses Testing from Complex Survey Data Using Bootstrap Weights: A Unified Approach	11
Stochastic Tree Ensembles for Regularized Nonlinear Regression	11
Comments on “A Gibbs Sampler for a Class of Random Convex Polytopes”	11
Convex and Nonconvex Optimization Are Both Minimax-Optimal for Noisy Blind Deconvolution Under Random Designs	11
Functional Estimation and Change Detection for Nonstationary Time Series	11
Bayesian Nonparametric Common Atoms Regression for Generating Synthetic Controls in Clinical Trials	11
Data Fusion Using Weakly Aligned Sources	11
The Augmented Synthetic Control Method	11
Optimal Simulator Selection	11
Asymmetric Error Control Under Imperfect Supervision: A Label-Noise-Adjusted Neyman–Pearson Umbrella Algorithm	11
Random effects model-based sufficient dimension reduction for independent clustered data	11
Is a Classification Procedure Good Enough?—A Goodness-of-Fit Assessment Tool for Classification Learning	11
Functional Mixed Effects Clustering with Application to Longitudinal Urologic Chronic Pelvic Pain Syndrome Symptom Data	11
On Semiparametrically Dynamic Functional-Coefficient Autoregressive Spatio-Temporal Models with Irregular Location Wide Nonstationarity	11
Individual Data Protected Integrative Regression Analysis of High-Dimensional Heterogeneous Data	11
A Penalized Synthetic Control Estimator for Disaggregated Data	11
Off-Policy Evaluation in Doubly Inhomogeneous Environments	11
Estimation and Inference of Extremal Quantile Treatment Effects for Heavy-Tailed Distributions	11
Crowdsourcing Utilizing Subgroup Structure of Latent Factor Modeling	10
Comments on “Measuring Housing Vitality from Multi-Source Big Data and Machine Learning”	10
A Likelihood-Based Approach for Multivariate Categorical Response Regression in High Dimensions	10
Spatial Statistics for Data Science: Theory and Practice with R.,	10
Estimating the Spectral Density at Frequencies Near Zero	10
Filtering the Rejection Set While Preserving False Discovery Rate Control	10
Discussion of “Data Fission: Splitting a Single Data Point” – Some Asymptotic Results for Data Fission	10
Probability Modeling and Statistical Inference in Cancer Screening	10
Natural Gradient Variational Bayes Without Fisher Matrix Analytic Calculation and Its Inversion	10
An Additive Graphical Model for Discrete Data	10
Bayesian Spatial Blind Source Separation via the Thresholded Gaussian Process	10
Bayesian Edge Regression in Undirected Graphical Models to Characterize Interpatient Heterogeneity in Cancer	10
Causal Inference for Social Network Data	10
A Discussion on: “Data Fission: Splitting a Single Data Point” by Leiner, J., Duan, B., Wasserman, L. and Ramdas, A.	10
Causal Inference for Genomic Data with Multiple Heterogeneous Outcomes	10
Efficient Multimodal Sampling via Tempered Distribution Flow	10
Power and Multicollinearity in Small Networks: A Discussion of “Tale of Two Datasets: Representativeness and Generalisability of Inference for Samples of Networks” by Krivitsky, Coletti, and Hens	10
Comment on “A Gibbs Sampler for a Class of Random Convex Polytopes”	10
Correction	10
Deep Regression for Repeated Measurements	10
Graph-Aligned Random Partition Model (GARP)	10
Divide-and-Conquer: A Distributed Hierarchical Factor Approach to Modeling Large-Scale Time Series Data	10
Estimation and Inference of Quantile Spatially Varying Coefficient Models Over Complicated Domains	9
Scaled Process Priors for Bayesian Nonparametric Estimation of the Unseen Genetic Variation	9
Network Inference Using the Hub Model and Variants	9
Community Detection in General Hypergraph Via Graph Embedding	9
Testing mutually exclusive hypotheses for multi-response regressions	9
Robustifying Likelihoods by Optimistically Re-weighting Data	9
Statistical Inference For Noisy Matrix Completion Incorporating Auxiliary Information	9
A Deep Generative Approach to Conditional Sampling	9
Unified Unconditional Regression for Multivariate Quantiles, M-Quantiles, and Expectiles	9
Rejective Sampling, Rerandomization, and Regression Adjustment in Survey Experiments	9
Counterfactual Analysis With Artificial Controls: Inference, High Dimensions, and Nonstationarity	9
Classification Trees for Imbalanced Data: Surface-to-Volume Regularization	9
A Decorrelating and Debiasing Approach to Simultaneous Inference for High-Dimensional Confounded Models	9
Statistical Modeling with R: A Dual Frequentist and Bayesian Approach for Life Scientists	9
Quantification of Vaccine Waning as a Challenge Effect	8
When Frictions Are Fractional: Rough Noise in High-Frequency Data	8
Matrix Completion Methods for Causal Panel Data Models	8
A Novel Approach of High Dimensional Linear Hypothesis Testing Problem	8
Collaborative Multilabel Classification	8
Statistical Inference with Local Optima	8
ℓ 1 -based Bayesian Ideal Point Model for Multidimensional Politics	8
Estimation of Copulas via Maximum Mean Discrepancy	8
Ranking Inferences Based on the Top Choice of Multiway Comparisons	8
Structural Equation Modeling Using R/SAS: A Step-by-Step Approach with Real Data Analysis	8
Exact Decoding of a Sequentially Markov Coalescent Model in Genetics	8
Dynamic Treatment Regimes: Statistical Methods for Precision Medicine	8
A Multimodal Multilevel Neuroimaging Model for Investigating Brain Connectome Development	8
Testing Independence Under Biased Sampling	8
Confidently Comparing Estimates with the c-value	8
Communication-Efficient Accurate Statistical Estimation	8
Factor Augmented Sparse Throughput Deep ReLU Neural Networks for High Dimensional Regression	8

Discussion of “A Tale of Two Datasets: Representativeness and Generalisability of Inference for Samples of Networks” by Pavel N. Krivitsky, Pietro Coletti, and Niel Hens	8
Factor Augmented Inverse Regression and its Application to Microbiome Data Analysis	8
Capture-Recapture Models with Heterogeneous Temporary Emigration	8
A Reproducing Kernel Hilbert Space Approach to Functional Calibration of Computer Models	8
Permutation Tests at Nonparametric Rates	7
Fast Network Community Detection With Profile-Pseudo Likelihood Methods	7
Test of Weak Separability for Spatially Stationary Functional Field	7
Enhanced Response Envelope via Envelope Regularization	7
Statistical Inference for Hüsler–Reiss Graphical Models Through Matrix Completions	7
Robust Regression with Covariate Filtering: Heavy Tails and Adversarial Contamination	7
Stick-Breaking Processes With Exchangeable Length Variables	7
High-Dimensional Knockoffs Inference for Time Series Data	7
A Wasserstein Index of Dependence for Random Measures	7
Nonparametric Multiple-Output Center-Outward Quantile Regression	7
Inference in Heavy-Tailed Nonstationary Multivariate Time Series	7
Compositional Graphical Lasso Resolves the Impact of Parasitic Infection on Gut Microbial Interaction Networks in a Zebrafish Model	7
High-Order Joint Embedding for Multi-Level Link Prediction	7
Recommender Systems: A Review	7
High-Dimensional Time Series Segmentation via Factor-Adjusted Vector Autoregressive Modeling	7
PCABM: Pairwise Covariates-Adjusted Block Model for Community Detection	7
Inference on Multi-level Partial Correlations Based on Multi-subject Time Series Data	7
Hamiltonian-Assisted Metropolis Sampling	7
False Discovery Rate Control via Data Splitting	6
Conditional Separable Effects	6
Bayesian Bootstrap Spike-and-Slab LASSO	6
Accommodating Time-Varying Heterogeneity in Risk Estimation under the Cox Model: A Transfer Learning Approach	6
Discussion of “Confidence Intervals for Nonparametric Empirical Bayes Analysis”	6
Bayesian Inference Using the Proximal Mapping: Uncertainty Quantification Under Varying Dimensionality	6
Monte Carlo Inference for Semiparametric Bayesian Regression	6
Estimating Higher-Order Mixed Memberships via the l2,∞ Tensor Perturbation Bound	6
Tests for Large-Dimensional Shape Matrices via Tyler’s M Estimators	6
Graphical Model Inference with Erosely Measured Data	6
Ridge Regression Under Dense Factor Augmented Models	6
Neural Networks for Geospatial Data	6
An Efficient Coalescent Model for Heterochronously Sampled Molecular Data	6
Sparse Graphical Modeling for High Dimensional Data: A Paradigm of Conditional Independence Tests	6
Estimation and Inference for Nonparametric Expected Shortfall Regression over RKHS	6
Discovery and Inference of a Causal Network with Hidden Confounding	6
Estimating Causal Peer Influence in Homophilous Social Networks by Inferring Latent Locations	6
Mapping the Genetic-Imaging-Clinical Pathway with Applications to Alzheimer’s Disease	6
Operationalizing Legislative Bodies: A Methodological and Empirical Perspective with a Bayesian Approach	6
Efficient Stochastic Generators with Spherical Harmonic Transformation for High-Resolution Global Climate Simulations from CESM2-LENS2	6
Latent Gaussian Count Time Series	6
Statistical Learning for Individualized Asset Allocation	6
Semi-Supervised Triply Robust Inductive Transfer Learning	6
Optimal Nonparametric Inference with Two-Scale Distributional Nearest Neighbors	6
Handbook of Matching and Weighting Adjustments for Causal Inference	6
Correction to: Semiparametric Inference for Non-monotone Missing-Not-at-Random Data: the No Self-Censoring Model	6
Factor Models for High-Dimensional Tensor Time Series	6
Fast Approximation of the Shapley Values Based on Order-of-Addition Experimental Designs	6
Reinforcement Learning in Latent Heterogeneous Environments	6
Nonparametric Bounds for Causal Effects in Imperfect Randomized Experiments	6
Neyman-Pearson Multi-Class Classification via Cost-Sensitive Learning	5
Ultra-High Dimensional Quantile Regression for Longitudinal Data: An Application to Blood Pressure Analysis	5
Network Structure Learning Under Uncertain Interventions	5
Degree-Heterogeneous Latent Class Analysis for High-Dimensional Discrete Data	5
Prioritizing Autism Risk Genes Using Personalized Graphical Models Estimated From Single-Cell RNA-seq Data	5
Double Negative Control Inference in Test-Negative Design Studies of Vaccine Effectiveness	5
Discussion of “Measuring Housing Vitality from Multi-Source Big Data and Machine Learning”	5
Skeleton Clustering: Dimension-Free Density-Aided Clustering	5
Understanding Implicit Regularization in Over-Parameterized Single Index Model	5
Dynamic Matrix Recovery	5
Copula Modeling of Serially Correlated Multivariate Data with Hidden Structures	5
Model-Robust Inference for Clinical Trials that Improve Precision by Stratified Randomization and Covariate Adjustment	5
Poisson-FOCuS: An Efficient Online Method for Detecting Count Bursts with Application to Gamma Ray Burst Detection. Rejoinder	5
High-Dimensional Expected Shortfall Regression	5
Discussion of “A Tale of Two Datasets: Representativeness and Generalisability of Inference for Samples of Networks”	5
Combining Broad and Narrow Case Definitions in Matched Case-Control Studies: Firearms in the Home and Suicide Risk	5
Multivariate Temporal Point Process Regression	5
Causal Inference in Transcriptome-Wide Association Studies with Invalid Instruments and GWAS Summary Data	5
Distribution of Distances based Object Matching: Asymptotic Inference	5
Automatic Regenerative Simulation via Non-Reversible Simulated Tempering	5
Derandomizing Knockoffs	5
Cohesion and Repulsion in Bayesian Distance Clustering	5
Controlled Epidemiological Studies	5
Hub Detection in Gaussian Graphical Models	5
Mixed-Response State-Space Model for Analyzing Multi-Dimensional Digital Phenotypes	5
Estimation and Inference for High-Dimensional Generalized Linear Models with Knowledge Transfer	5
Discussion of “Data Fission: Splitting a Single Data Point” by Leiner et al.	5
GeoWarp: Warped Spatial Processes for Inferring Subsea Sediment Properties	5
Rejoinder	5
Learning Topic Models: Identifiability and Finite-Sample Analysis	5
New Estimands for Experiments with Strong Interference	5
Evaluating Association Between Two Event Times with Observations Subject to Informative Censoring	5
Robust Bayesian Modeling of Counts with Zero Inflation and Outliers: Theoretical Robustness and Efficient Computation	5
Discussion of “Regression Models for Understanding COVID-19 Epidemic Dynamics With Incomplete Data”	5
Testing Simultaneous Diagonalizability	5
Functional Time Series Prediction Under Partial Observation of the Future Curve	5
Correlation Tensor Decomposition and Its Application in Spatial Imaging Data	5
Toward Better Practice of Covariate Adjustment in Analyzing Randomized Clinical Trials	5
Stable Lévy Processes via Lamperti-Type Representations	5
Semi-Distance Correlation and Its Applications	5
Doubly Robust Augmented Model Accuracy Transfer Inference with High Dimensional Features	5
Assessing COVID-19 Prevalence in Austria with Infection Surveys and Case Count Data as Auxiliary Information	4
Hidden Markov Pólya Trees for High-Dimensional Distributions	4