Journal of the American Statistical Association

Article	Citations
A Kernel Log-Rank Test of Independence for Right-Censored Data	184
Split Knockoffs for Multiple Comparisons: Controlling the Directional False Discovery Rate	184
Optimal Subsampling via Predictive Inference	113
Identifiability and Consistent Estimation for Gaussian Chain Graph Models	94
Structural Equation Modeling Using R/SAS: A Step-by-Step Approach with Real Data Analysis	77
Statistical Foundations Driving 21st Century Innovation	68
A General Framework for Circular Local Likelihood Regression	60
Functional Integrative Bayesian Analysis of High-Dimensional Multiplatform Clinicogenomic Data	60
In Nonparametric and High-Dimensional Models, Bayesian Ignorability is an Informative Prior	57
Correction	51
Factor Augmented Sparse Throughput Deep ReLU Neural Networks for High Dimensional Regression	47
A Composite Likelihood-Based Approach for Change-Point Detection in Spatio-Temporal Processes	45
Clustering High-Dimensional Noisy Categorical Data	41
Handbook of Bayesian, Fiducial, and Frequentist Inference	40
Class-specific Joint Feature Screening in Ultrahigh-dimensional Mixture Regression*	36
Spatio-Temporal Cross-Covariance Functions under the Lagrangian Framework with Multiple Advections	32
A Novel Approach of High Dimensional Linear Hypothesis Testing Problem	31
Ranking Inferences Based on the Top Choice of Multiway Comparisons	29
Multivariate Rank-Based Distribution-Free Nonparametric Testing Using Measure Transportation	29
U-Statistic Reduction: Higher-Order Accurate Risk Control and Statistical-Computational Trade-Off	29
Modeling Preferences: A Bayesian Mixture of Finite Mixtures for Rankings and Ratings	27
Inference of Breakpoints in High-dimensional Time Series	27
Ordinal Data Analysis: Statistical Perspective with Applications	27
Nonparametric Causal Effects Based on Longitudinal Modified Treatment Policies	26
Dynamic Treatment Regimes: Statistical Methods for Precision Medicine	22

Structure–Adaptive Sequential Testing for Online False Discovery Rate Control	22
Nonparametric Empirical Bayes Prediction	22
Introduction to Environmental Data Science	21
Back to Our Future: Text Analytics Insights	21
Ideal Bayesian Spatial Adaptation	21
An Introduction to Acceptance Sampling and SPC with R	21
Unified Unconditional Regression for Multivariate Quantiles, M-Quantiles, and Expectiles	21
A Multimodal Multilevel Neuroimaging Model for Investigating Brain Connectome Development	21
DDAC-SpAM: A Distributed Algorithm for Fitting High-dimensional Sparse Additive Models with Feature Division and Decorrelation	21
On Robustness of Individualized Decision Rules	20
Anomaly Detection for a Large Number of Streams: A Permutation-Based Higher Criticism Approach	20
Proximal Learning for Individualized Treatment Regimes Under Unmeasured Confounding	19
Improved Small Domain Estimation via Compromise Regression Weights	19
Bootstrapping Extreme Value Estimators	19
Bayesian Filtering and Smoothing, 2nd ed.Simo Särkkä and Lennart Svensson, Cambridge, UK, Cambridge University Press, 2023, xxx + 406 pp., $44.99(P), ISBN 978-1-108-92664-5.	19
A History of Data Visualization and Graphic Communication,	19
Coverage Properties of Empirical Bayes Intervals: A Discussion of “Confidence Intervals for Nonparametric Empirical Bayes Analysis” by Ignatiadis and Wager	18
Fast Signal Region Detection with Application to Whole Genome Association Studies	18
Dimension Reduction for Fréchet Regression	18
Sensitivity Analysis for Quantiles of Hidden Biases in Matched Observational Studies	18
Model-Assisted Uniformly Honest Inference for Optimal Treatment Regimes in High Dimension	18
Conditional Functional Graphical Models	17
A Reproducing Kernel Hilbert Space Approach to Functional Calibration of Computer Models	17
On Learning and Testing of Counterfactual Fairness through Data Preprocessing	17
Analysis of Variance of Tensor Product Reproducing Kernel Hilbert Spaces on Metric Spaces	17
Statistical Inference with Local Optima	17
Semiparametric Proximal Causal Inference	16
Self-supervised Metric Learning in Multi-View Data: A Downstream Task Perspective	16
Sparse Convoluted Rank Regression in High Dimensions	16
Optimal Estimation of the Number of Network Communities	16
What is a Randomization Test?	16
Partially Linear Additive Regression with a General Hilbertian Response	15
Simultaneous Decorrelation of Matrix Time Series	15
Kernel Estimation of Bivariate Time-Varying Coefficient Model for Longitudinal Data with Terminal Event	15
Analyzing Big EHR Data—Optimal Cox Regression Subsampling Procedure with Rare Events	15
Classified Mixed Model Projections	15
Heterogeneity Analysis on Multi-State Brain Functional Connectivity and Adolescent Neurocognition	15
A Particle Method for Solving Fredholm Equations of the First Kind	15
Robust Matrix Completion with Heavy-Tailed Noise	14
Statistical Inferences for Complex Dependence of Multimodal Imaging Data	14
Exact Decoding of a Sequentially Markov Coalescent Model in Genetics	13
Exact Bayesian Inference for Diffusion-Driven Cox Processes	13
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	13
Multivariate Sparse Clustering for Extremes	13
Projection Test for Mean Vector in High Dimensions	13
Bayesian Conditional Transformation Models	13
Contextual Dynamic Pricing with Strategic Buyers	12
Hidden Markov Pólya Trees for High-Dimensional Distributions	12
Online Bootstrap Inference For Policy Evaluation In Reinforcement Learning	12
Assessing COVID-19 Prevalence in Austria with Infection Surveys and Case Count Data as Auxiliary Information	12

Off-Policy Confidence Interval Estimation with Confounded Markov Decision Process	12
Testing a Large Number of Composite Null Hypotheses Using Conditionally Symmetric Multidimensional Gaussian Mixtures in Genome-Wide Studies	12
Synthetic Likelihood in Misspecified Models	12
Quantification of Vaccine Waning as a Challenge Effect	12
Multiple Change Point Detection in Reduced Rank High Dimensional Vector Autoregressive Models	12
A Semiparametric Inverse Reinforcement Learning Approach to Characterize Decision Making for Mental Disorders	11
Variable Selection in the Presence of Factors: A Model Selection Perspective	11
High-Dimensional Mediation Analysis for Selecting DNA Methylation Loci Mediating Childhood Trauma and Cortisol Stress Reactivity	11
Confidently Comparing Estimates with the c-value	11
Unveiling the Unobservable: Causal Inference on Multiple Derived Outcomes	11
Factor Augmented Inverse Regression and its Application to Microbiome Data Analysis	11
Rerandomization in Stratified Randomized Experiments	11
A Wavelet-Based Independence Test for Functional Data With an Application to MEG Functional Connectivity	11
Censored Interquantile Regression Model with Time-Dependent Covariates	11
Testing Independence Under Biased Sampling	11
A Zero-Inflated Logistic Normal Multinomial Model for Extracting Microbial Compositions	11
Fast, Optimal, and Targeted Predictions Using Parameterized Decision Analysis	11
Partially Observed Dynamic Tensor Response Regression	10
Transformation-Invariant Learning of Optimal Individualized Decision Rules with Time-to-Event Outcomes	10
Differential Privacy for Government Agencies—Are We There Yet?	10
Correction to “Modeling Time-Varying Random Objects and Dynamic Networks”	10
Estimation of Copulas via Maximum Mean Discrepancy	10
On Characterizations and Tests of Benford’s Law	10
Subspace Estimation with Automatic Dimension and Variable Selection in Sufficient Dimension Reduction	10
Robust Inference and Modeling of Mean and Dispersion for Generalized Linear Models	10
ℓ 1 -based Bayesian Ideal Point Model for Multidimensional Politics	10
Correction	10
Supervised Dynamic PCA: Linear Dynamic Forecasting with Many Predictors	10
Combining Matching and Synthetic Control to Tradeoff Biases From Extrapolation and Interpolation	10
Recommender Systems: A Review	10
Uniform Projection Designs and Strong Orthogonal Arrays	10
Capture-Recapture Models with Heterogeneous Temporary Emigration	10
Collaborative Multilabel Classification	10
Sparse Independent Component Analysis with an Application to Cortical Surface fMRI Data in Autism	10
Geodesic Mixed Effects Models for Repeatedly Observed/Longitudinal Random Objects	10
Design of experiments for generalized linear models	10
Model-Assisted Estimation Through Random Forests in Finite Population Sampling	9
High-Dimensional MANOVA Via Bootstrapping and Its Application to Functional and Sparse Count Data	9
When Frictions Are Fractional: Rough Noise in High-Frequency Data	9
Mediation Analysis with the Mediator and Outcome Missing Not at Random	9
Earthquake Risk Embedded in Property Prices: Evidence From Five Japanese Cities	9
Semi-Supervised Linear Regression	9
Communication-Efficient Accurate Statistical Estimation	9
Network-based Neighborhood Regression	9
Multifile Partitioning for Record Linkage and Duplicate Detection	9
Variable Selection Via Thompson Sampling	9
Scalable Bayesian Transport Maps for High-Dimensional Non-Gaussian Spatial Fields	9
Sparse Reduced Rank Huber Regression in High Dimensions	9
Higher-Order Expansions and Inference for Panel Data Models	9
Matrix Completion Methods for Causal Panel Data Models	9
Random Forests for Spatially Dependent Data	9
Greedy Segmentation for a Functional Data Sequence	9
Federated Offline Reinforcement Learning	9
Sparse Bayesian Multidimensional Item Response Theory	8
Robust Regression with Covariate Filtering: Heavy Tails and Adversarial Contamination	8
Introduction to the Special Section on Synthetic Control Methods	8
Theory of Statistical Inference	8
Editorial: What Makes for a Great Applications and Case Studies Paper?	8
Discussion of “A Gibbs Sampler for a Class of Random Convex Polytopes”	8
PCABM: Pairwise Covariates-Adjusted Block Model for Community Detection	8
High-Dimensional Knockoffs Inference for Time Series Data	8
High-Order Joint Embedding for Multi-Level Link Prediction	8
Federated Adaptive Causal Estimation (FACE) of Target Treatment Effects	8
Inference in Experiments With Matched Pairs	8
Rejoinder: Confidence Intervals for Nonparametric Empirical Bayes Analysis	8
Enhanced Response Envelope via Envelope Regularization	8
Discovery and Inference of a Causal Network with Hidden Confounding	8
Rejoinder: LESA: Longitudinal Elastic Shape Analysis of Brain Subcortical Structures	8
Comment on “A Gibbs Sampler for a Class of Random Convex Polytopes” by P.E. Jacob, R. Gong, P.T. Edlefsen and A.P. Dempster	8
Data Science and Predictive Analytics, 2nd ed.	8
Correction	8
Stick-Breaking Processes With Exchangeable Length Variables	8
Objective Bayesian Inference	8
Modeling Point Referenced Spatial Count Data: A Poisson Process Approach	8
Rejoinder	8
Enveloped Huber Regression	8
Policy Learning with Asymmetric Counterfactual Utilities	8
Robust Estimation of Large Panels with Factor Structures	8
Sharp Nonparametric Bounds for Decomposition Effects with Two Binary Mediators	8
Node-Level Community Detection within Edge Exchangeable Models for Interaction Processes	8

Efficient Multiple Change Point Detection and Localization For High-Dimensional Quantile Regression with Heteroscedasticity	8
Balancing Covariates in Randomized Experiments with the Gram–Schmidt Walk Design	8
Advanced Survival Models	7
Covariate-Informed Latent Interaction Models: Addressing Geographic & Taxonomic Bias in Predicting Bird–Plant Interactions	7
Handbook of Bayesian Variable Selection	7
Reversible Jump PDMP Samplers for Variable Selection	7
A Doubly Enhanced EM Algorithm for Model-Based Tensor Clustering	7
Bootstrap Prediction Bands for Functional Time Series	7
Statistical inference for high-dimensional convoluted rank regression	7
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	7
Inference in Heavy-Tailed Nonstationary Multivariate Time Series	7
Permutation Tests at Nonparametric Rates	7
Optimal Network Pairwise Comparison	7
Martingale Methods in Statistics Martingale Methods in Statistics , Yoichi Nishiyama, Boca Raton, FL: Chapman & Hall/CRC Press, 2022, xiii + 245 pp., $120.00(H), ISB	7
Noncompliance and Instrumental Variables for 2 K Factorial Experiments	7
Introduction to Theory and Methods Special Issue on Precision Medicine and Individualized Policy Discovery Part II	7
Optimal Dynamic Treatment Regimes and Partial Welfare Ordering	7
An Adaptive Adjustment to the R 2 Statistic in High-Dimensional Elliptical Models	7
Rejoinder: A Scale-free Approach for False Discovery Rate Control in Generalized Linear Models	7
Prediction of Cognitive Function via Brain Region Volumes with Applications to Alzheimer’s Disease Based on Space-Factor-Guided Functional Principal Component Analysis	7
A Bayesian Hierarchical CACE Model Accounting for Incomplete Noncompliance With Application to a Meta-analysis of Epidural Analgesia on Cesarean Section	7
A Physics-Informed, Deep Double Reservoir Network for Forecasting Boundary Layer Velocity	7
Modeling and Learning From Variation and Covariation	7
Hamiltonian-Assisted Metropolis Sampling	7
Handbook of Measurement Error Models	7
Deconvolution Density Estimation with Penalized MLE	6
Rejoinder—A Gibbs Sampler for a Class of Random Convex Polytopes	6
Soccer Analytics: An Introduction Using R	6
Inferring Causal Effect of a Digital Communication Strategy under a Latent Sequential Ignorability Assumption and Treatment Noncompliance	6
Factor Models for High-Dimensional Tensor Time Series	6
Dynamic Causal Effects Evaluation in A/B Testing with a Reinforcement Learning Framework	6
Estimation of Linear Functionals in High-Dimensional Linear Models: From Sparsity to Nonsparsity	6
Inferring Covariance Structure from Multiple Data Sources via Subspace Factor Analysis	6
Modeling Pregnancy Outcomes Through Sequentially Nested Regression Models	6
Estimation and Variable Selection for Interval-Censored Failure Time Data with Random Change Point and Application to Breast Cancer Study	6
Sampling Algorithms for Discrete Markov Random Fields and Related Graphical Models	6
The Interplay of Demographic Variables and Social Distancing Scores in Deep Prediction of U.S. COVID-19 Cases	6
Benign Overfitting and Noisy Features	6
Matching on Generalized Propensity Scores with Continuous Exposures	6
Comment on “Factor Models for High-Dimensional Tensor Time Series” by Rong Chen, Dan Yang, and Cun-Hui Zhang	6
On Optimality of Mallows Model Averaging	6
Bayesian Nonparametrics for Causal Inference and Missing Data	6
Distributional outcome regression via quantile functions and its application to modelling continuously monitored heart rate and physical activity	6
Empirical Bayes Mean Estimation With Nonparametric Errors Via Order Statistic Regression on Replicated Data	6
Bayesian Conjugacy in Probit, Tobit, Multinomial Probit and Extensions: A Review and New Results	6
Bias-Correction and Test for Mark-Point Dependence with Replicated Marked Point Processes	6
Assumption-Lean Cox Regression	6
Generalized Good-Turing Improves Missing Mass Estimation	6
Policy Optimization Using Semiparametric Models for Dynamic Pricing	6
Geometric Ergodicity of Trans-Dimensional Markov Chain Monte Carlo Algorithms	6
Hierarchical Neyman-Pearson Classification for Prioritizing Severe Disease Categories in COVID-19 Patient Data	5
Covariance Estimation for Matrix-valued Data	5
Robust Estimation for Number of Factors in High Dimensional Factor Modeling via Spearman Correlation Matrix	5
Anytime-Valid Tests of Conditional Independence Under Model-X	5
Rejoinder: New Objectives for Policy Learning	5
A Randomized Pairwise Likelihood Method for Complex Statistical Inferences	5
Single-index Thresholding in Quantile Regression	5
Model-Based Causal Feature Selection for General Response Types	5
Tyranny-of-the-Minority Regression Adjustment in Randomized Experiments	5
Deep Regression Learning with Optimal Loss Function	5
Hypothesis Tests for Structured Rank Correlation Matrices	5
Learning Coefficient Heterogeneity over Networks: A Distributed Spanning-Tree-Based Fused-Lasso Regression	5
High-Dimensional Time Series Segmentation via Factor-Adjusted Vector Autoregressive Modeling	5
Correction	5
Crop Yield Prediction Using Bayesian Spatially Varying Coefficient Models with Functional Predictors	5
Factor Modeling for Clustering High-Dimensional Time Series	5
Independent Nonlinear Component Analysis	5
Spatial Modeling and Future Projection of Extreme Precipitation Extents	5
Test of Weak Separability for Spatially Stationary Functional Field	5
Additive Covariance Matrix Models: Modeling Regional Electricity Net-Demand in Great Britain	5
Doubly-Valid/Doubly-Sharp Sensitivity Analysis for Causal Inference with Unmeasured Confounding	5
Bayesian Modeling with Spatial Curvature Processes	5
Semiparametrically Efficient Method for Enveloped Central Space	5
Modeling and Learning on High-Dimensional Matrix-Variate Sequences	5
Local Signal Detection on Irregular Domains with Generalized Varying Coefficient Models	5
Distribution-Free Prediction Intervals Under Covariate Shift, With an Application to Causal Inference	5
Partial Quantile Tensor Regression	5
Fairness-Oriented Learning for Optimal Individualized Treatment Rules	5
Generalized Bayesian Inference for Discrete Intractable Likelihood	5
Two-Way Truncated Linear Regression Models with Extremely Thresholding Penalization	5
A Random Projection Approach to Hypothesis Tests in High-Dimensional Single-Index Models	5
Semiparametric Regression with R	5
Spectral Density Estimation for Nonstationary Data With Nonzero Mean Function	5
Fast Network Community Detection With Profile-Pseudo Likelihood Methods	5
A Wasserstein Index of Dependence for Random Measures	5
Bayesian Integrative Region Segmentation in Spatially Resolved Transcriptomic Studies	5
Statistical Inference for Hüsler–Reiss Graphical Models Through Matrix Completions	5
An Automated Approach to Causal Inference in Discrete Settings	5
Statistically Efficient Advantage Learning for Offline Reinforcement Learning in Infinite Horizons	5
Multi-Task Learning with High-Dimensional Noisy Images	5
Modeling the Extremes of Bivariate Mixture Distributions With Application to Oceanographic Data	5
Sparse Topic Modeling: Computational Efficiency, Near-Optimal Algorithms, and Statistical Inference	5