Journal of the American Statistical Association

Article	Citations
A Kernel Log-Rank Test of Independence for Right-Censored Data	176
Nonparametric Causal Effects Based on Longitudinal Modified Treatment Policies	158
Communication-Efficient Accurate Statistical Estimation	92
Mediation Analysis with the Mediator and Outcome Missing Not at Random	89
Ordinal Data Analysis: Statistical Perspective with Applications	72
Modeling Preferences: A Bayesian Mixture of Finite Mixtures for Rankings and Ratings	69
Structure–Adaptive Sequential Testing for Online False Discovery Rate Control	62
Dynamic Treatment Regimes: Statistical Methods for Precision Medicine	56
Introduction to the Special Section on Synthetic Control Methods	55
An Introduction to Acceptance Sampling and SPC with R	48
DDAC-SpAM: A Distributed Algorithm for Fitting High-dimensional Sparse Additive Models with Feature Division and Decorrelation	48
Back to Our Future: Text Analytics Insights	47
A Multimodal Multilevel Neuroimaging Model for Investigating Brain Connectome Development	41
Ideal Bayesian Spatial Adaptation	36
Introduction to Environmental Data Science	36
Unified Unconditional Regression for Multivariate Quantiles, M-Quantiles, and Expectiles	34
On Robustness of Individualized Decision Rules	31
Anomaly Detection for a Large Number of Streams: A Permutation-Based Higher Criticism Approach	31
Bootstrapping Extreme Value Estimators	26
A History of Data Visualization and Graphic Communication,	26
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.	25
Proximal Learning for Individualized Treatment Regimes Under Unmeasured Confounding	25
Improved Small Domain Estimation via Compromise Regression Weights	24
Nonparametric Empirical Bayes Prediction	24
Coverage Properties of Empirical Bayes Intervals: A Discussion of “Confidence Intervals for Nonparametric Empirical Bayes Analysis” by Ignatiadis and Wager	22

Sensitivity Analysis for Quantiles of Hidden Biases in Matched Observational Studies	21
Analysis of Variance of Tensor Product Reproducing Kernel Hilbert Spaces on Metric Spaces	21
U-Statistic Reduction: Higher-Order Accurate Risk Control and Statistical-Computational Trade-Off	21
Inference of Breakpoints in High-dimensional Time Series	21
On Learning and Testing of Counterfactual Fairness through Data Preprocessing	20
Fast Signal Region Detection with Application to Whole Genome Association Studies	20
Collaborative Multilabel Classification	19
Variable Selection Via Thompson Sampling	19
Optimal Estimation of the Number of Network Communities	19
Greedy Segmentation for a Functional Data Sequence	19
Statistical Inference with Local Optima	19
Uniform Projection Designs and Strong Orthogonal Arrays	19
What is a Randomization Test?	18
Partially Linear Additive Regression with a General Hilbertian Response	18
Sparse Convoluted Rank Regression in High Dimensions	18
Self-supervised Metric Learning in Multi-View Data: A Downstream Task Perspective	18
Semiparametric Proximal Causal Inference	18
Classified Mixed Model Projections	17
Heterogeneity Analysis on Multi-State Brain Functional Connectivity and Adolescent Neurocognition	17
Analyzing Big EHR Data—Optimal Cox Regression Subsampling Procedure with Rare Events	17
Kernel Estimation of Bivariate Time-Varying Coefficient Model for Longitudinal Data with Terminal Event	17
A Particle Method for Solving Fredholm Equations of the First Kind	17
Hidden Markov Pólya Trees for High-Dimensional Distributions	16
Statistical Inferences for Complex Dependence of Multimodal Imaging Data	16
Supervised Dynamic PCA: Linear Dynamic Forecasting with Many Predictors	16
Simultaneous Decorrelation of Matrix Time Series	16
Bayesian Conditional Transformation Models	15
High-Dimensional Spatial Quantile Function-on-Scalar Regression	15
Multivariate Sparse Clustering for Extremes	15
Robust Matrix Completion with Heavy-Tailed Noise	15
On Characterizations and Tests of Benford’s Law	15
Combining Matching and Synthetic Control to Tradeoff Biases From Extrapolation and Interpolation	14
Model-Assisted Uniformly Honest Inference for Optimal Treatment Regimes in High Dimension	14
High-Dimensional MANOVA Via Bootstrapping and Its Application to Functional and Sparse Count Data	14
Exact Bayesian Inference for Diffusion-Driven Cox Processes	14
Multivariate Rank-Based Distribution-Free Nonparametric Testing Using Measure Transportation	14
Estimation of Copulas via Maximum Mean Discrepancy	13
Off-Policy Confidence Interval Estimation with Confounded Markov Decision Process	13
Variable Selection in the Presence of Factors: A Model Selection Perspective	13
Quantification of Vaccine Waning as a Challenge Effect	13
Multiple Change Point Detection in Reduced Rank High Dimensional Vector Autoregressive Models	13
Inference in Experiments With Matched Pairs	13
Testing a Large Number of Composite Null Hypotheses Using Conditionally Symmetric Multidimensional Gaussian Mixtures in Genome-Wide Studies	13
Confidently Comparing Estimates with the c-value	13
Online Bootstrap Inference For Policy Evaluation In Reinforcement Learning	13
Transformation-Invariant Learning of Optimal Individualized Decision Rules with Time-to-Event Outcomes	12
Rerandomization in Stratified Randomized Experiments	12
High-Dimensional Mediation Analysis for Selecting DNA Methylation Loci Mediating Childhood Trauma and Cortisol Stress Reactivity	12
Random Forests for Spatially Dependent Data	12
A Zero-Inflated Logistic Normal Multinomial Model for Extracting Microbial Compositions	12

Testing Independence Under Biased Sampling	12
Earthquake Risk Embedded in Property Prices: Evidence From Five Japanese Cities	11
Fast, Optimal, and Targeted Predictions Using Parameterized Decision Analysis	11
Semi-Supervised Linear Regression	11
Factor Augmented Inverse Regression and its Application to Microbiome Data Analysis	11
Subspace Estimation with Automatic Dimension and Variable Selection in Sufficient Dimension Reduction	11
Scalable Bayesian Transport Maps for High-Dimensional Non-Gaussian Spatial Fields	11
A Semiparametric Inverse Reinforcement Learning Approach to Characterize Decision Making for Mental Disorders	11
Unveiling the Unobservable: Causal Inference on Multiple Derived Outcomes	11
Partially Observed Dynamic Tensor Response Regression	11
Censored Interquantile Regression Model with Time-Dependent Covariates	11
Sparse Reduced Rank Huber Regression in High Dimensions	10
Contextual Dynamic Pricing with Strategic Buyers	10
Synthetic Likelihood in Misspecified Models	10
Capture-Recapture Models with Heterogeneous Temporary Emigration	10
Model-Assisted Estimation Through Random Forests in Finite Population Sampling	10
Projection Test for Mean Vector in High Dimensions	10
Exact Decoding of a Sequentially Markov Coalescent Model in Genetics	10
Ranking Inferences Based on the Top Choice of Multiway Comparisons	10
A Wavelet-Based Independence Test for Functional Data With an Application to MEG Functional Connectivity	10
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	10
Assessing COVID-19 Prevalence in Austria with Infection Surveys and Case Count Data as Auxiliary Information	10
Robust Inference and Modeling of Mean and Dispersion for Generalized Linear Models	10
Multifile Partitioning for Record Linkage and Duplicate Detection	10
A Reproducing Kernel Hilbert Space Approach to Functional Calibration of Computer Models	10
A Novel Approach of High Dimensional Linear Hypothesis Testing Problem	9
Matrix Completion Methods for Causal Panel Data Models	9
Design of experiments for generalized linear models	9
In Nonparametric and High-Dimensional Models, Bayesian Ignorability is an Informative Prior	9
Class-specific Joint Feature Screening in Ultrahigh-dimensional Mixture Regression*	9
When Frictions Are Fractional: Rough Noise in High-Frequency Data	9
Recommender Systems: A Review	9
Correction	9
Spatio-Temporal Cross-Covariance Functions under the Lagrangian Framework with Multiple Advections	9
Handbook of Bayesian, Fiducial, and Frequentist Inference	9
Conditional Functional Graphical Models	9
Differential Privacy for Government Agencies—Are We There Yet?	9
ℓ 1 -based Bayesian Ideal Point Model for Multidimensional Politics	9
Correction	9
Correction to “Modeling Time-Varying Random Objects and Dynamic Networks”	9
Enhanced Response Envelope via Envelope Regularization	8
PCABM: Pairwise Covariates-Adjusted Block Model for Community Detection	8
Theory of Statistical Inference	8
An Interpretable and Efficient Infinite-Order Vector Autoregressive Model for High-Dimensional Time Series	8
Data Fission: Splitting a Single Data Point	8
A General Framework for Circular Local Likelihood Regression	8
Rejoinder	8
Higher-Order Expansions and Inference for Panel Data Models	8
A Composite Likelihood-Based Approach for Change-Point Detection in Spatio-Temporal Processes	8
Rejoinder: Confidence Intervals for Nonparametric Empirical Bayes Analysis	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
Efficient Multiple Change Point Detection and Localization For High-Dimensional Quantile Regression with Heteroscedasticity	8
Correction	8
Stick-Breaking Processes With Exchangeable Length Variables	8
Modeling Point Referenced Spatial Count Data: A Poisson Process Approach	8
Sparse Independent Component Analysis with an Application to Cortical Surface fMRI Data in Autism	8
Federated Offline Reinforcement Learning	8
Structural Equation Modeling Using R/SAS: A Step-by-Step Approach with Real Data Analysis	8
Split Knockoffs for Multiple Comparisons: Controlling the Directional False Discovery Rate	8
Factor Augmented Sparse Throughput Deep ReLU Neural Networks for High Dimensional Regression	8
Functional Integrative Bayesian Analysis of High-Dimensional Multiplatform Clinicogenomic Data	8
Robust Regression with Covariate Filtering: Heavy Tails and Adversarial Contamination	8
Data Science and Predictive Analytics, 2nd ed.	8
Node-Level Community Detection within Edge Exchangeable Models for Interaction Processes	8
High-Order Joint Embedding for Multi-Level Link Prediction	8
Dimension Reduction for Fréchet Regression	8
Statistical Foundations Driving 21st Century Innovation	8
Optimal Subsampling via Predictive Inference	8
Clustering High-Dimensional Noisy Categorical Data	8
Identifiability and Consistent Estimation for Gaussian Chain Graph Models	8
Optimal Dynamic Treatment Regimes and Partial Welfare Ordering	7
A Bayesian Hierarchical CACE Model Accounting for Incomplete Noncompliance With Application to a Meta-analysis of Epidural Analgesia on Cesarean Section	7
Bayesian Conjugacy in Probit, Tobit, Multinomial Probit and Extensions: A Review and New Results	7
Hamiltonian-Assisted Metropolis Sampling	7
A Doubly Enhanced EM Algorithm for Model-Based Tensor Clustering	7
Noncompliance and Instrumental Variables for 2 K Factorial Experiments	7
Robust Estimation of Large Panels with Factor Structures	7
Editorial: What Makes for a Great Applications and Case Studies Paper?	7
Rejoinder: A Scale-free Approach for False Discovery Rate Control in Generalized Linear Models	7
Discussion of “A Gibbs Sampler for a Class of Random Convex Polytopes”	7

Optimal Network Pairwise Comparison	7
Inferring Causal Effect of a Digital Communication Strategy under a Latent Sequential Ignorability Assumption and Treatment Noncompliance	7
Handbook of Bayesian Variable Selection	7
Modeling and Learning From Variation and Covariation	7
Sharp Nonparametric Bounds for Decomposition Effects with Two Binary Mediators	7
Handbook of Measurement Error Models	7
Advanced Survival Models	7
Introduction to Theory and Methods Special Issue on Precision Medicine and Individualized Policy Discovery Part II	7
On Optimality of Mallows Model Averaging	7
Bootstrap Prediction Bands for Functional Time Series	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
A Physics-Informed, Deep Double Reservoir Network for Forecasting Boundary Layer Velocity	7
Permutation Tests at Nonparametric Rates	7
Rejoinder: LESA: Longitudinal Elastic Shape Analysis of Brain Subcortical Structures	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
Inferring Covariance Structure from Multiple Data Sources via Subspace Factor Analysis	6
Factor Models for High-Dimensional Tensor Time Series	6
Semiparametric Regression with R	6
Deconvolution Density Estimation with Penalized MLE	6
Estimation of Linear Functionals in High-Dimensional Linear Models: From Sparsity to Nonsparsity	6
Rejoinder—A Gibbs Sampler for a Class of Random Convex Polytopes	6
Soccer Analytics: An Introduction Using R	6
Empirical Bayes Mean Estimation With Nonparametric Errors Via Order Statistic Regression on Replicated Data	6
Matching on Generalized Propensity Scores with Continuous Exposures	6
An Algebraic Estimator for Large Spectral Density Matrices	6
Exponential-Family Embedding With Application to Cell Developmental Trajectories for Single-Cell RNA-Seq Data	6
Comment on “Factor Models for High-Dimensional Tensor Time Series” by Rong Chen, Dan Yang, and Cun-Hui Zhang	6
Estimation and Variable Selection for Interval-Censored Failure Time Data with Random Change Point and Application to Breast Cancer Study	6
Dynamic Causal Effects Evaluation in A/B Testing with a Reinforcement Learning Framework	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
Modeling Pregnancy Outcomes Through Sequentially Nested Regression Models	6
Assumption-Lean Cox Regression	6
Reversible Jump PDMP Samplers for Variable Selection	6
Generalized Good-Turing Improves Missing Mass Estimation	6
Distributional outcome regression via quantile functions and its application to modelling continuously monitored heart rate and physical activity	6
Federated Adaptive Causal Estimation (FACE) of Target Treatment Effects	6
Geometric Ergodicity of Trans-Dimensional Markov Chain Monte Carlo Algorithms	6
Bayesian Nonparametrics for Causal Inference and Missing Data	6
Generalized Bayesian Inference for Discrete Intractable Likelihood	5
Local Signal Detection on Irregular Domains with Generalized Varying Coefficient Models	5
Partial Quantile Tensor Regression	5
Graphical Models for Processing Missing Data	5
Tyranny-of-the-Minority Regression Adjustment in Randomized Experiments	5
Distribution-Free Prediction Intervals Under Covariate Shift, With an Application to Causal Inference	5
Covariate-Informed Latent Interaction Models: Addressing Geographic & Taxonomic Bias in Predicting Bird–Plant Interactions	5
High-Dimensional Time Series Segmentation via Factor-Adjusted Vector Autoregressive Modeling	5
Robust Estimation for Number of Factors in High Dimensional Factor Modeling via Spearman Correlation Matrix	5
Compositional Graphical Lasso Resolves the Impact of Parasitic Infection on Gut Microbial Interaction Networks in a Zebrafish Model	5
Two-Way Truncated Linear Regression Models with Extremely Thresholding Penalization	5
Factor Modeling for Clustering High-Dimensional Time Series	5
Bias-Correction and Test for Mark-Point Dependence with Replicated Marked Point Processes	5
Sparse Topic Modeling: Computational Efficiency, Near-Optimal Algorithms, and Statistical Inference	5
An Automated Approach to Causal Inference in Discrete Settings	5
Multi-Task Learning with High-Dimensional Noisy Images	5
Spectral Density Estimation for Nonstationary Data With Nonzero Mean Function	5
Statistically Efficient Advantage Learning for Offline Reinforcement Learning in Infinite Horizons	5
RaSE: A Variable Screening Framework via Random Subspace Ensembles	5
Nonparametric Multiple-Output Center-Outward Quantile Regression	5
Additive Covariance Matrix Models: Modeling Regional Electricity Net-Demand in Great Britain	5
Anytime-Valid Tests of Conditional Independence Under Model-X	5
Bayesian Modeling with Spatial Curvature Processes	5
Covariance Estimation for Matrix-valued Data	5
Semiparametric Multinomial Logistic Regression for Multivariate Point Pattern Data	5
A Random Projection Approach to Hypothesis Tests in High-Dimensional Single-Index Models	5
Crop Yield Prediction Using Bayesian Spatially Varying Coefficient Models with Functional Predictors	5
Statistical Inference for Hüsler–Reiss Graphical Models Through Matrix Completions	5
Deep Regression Learning with Optimal Loss Function	5
Learning Coefficient Heterogeneity over Networks: A Distributed Spanning-Tree-Based Fused-Lasso Regression	5
Correction	5
Hypothesis Tests for Structured Rank Correlation Matrices	5
Rejoinder: New Objectives for Policy Learning	5
Modeling the Extremes of Bivariate Mixture Distributions With Application to Oceanographic Data	5
Spatial Modeling and Future Projection of Extreme Precipitation Extents	5
Hierarchical Neyman-Pearson Classification for Prioritizing Severe Disease Categories in COVID-19 Patient Data	5
Model-Free Statistical Inference on High-Dimensional Data	5
Independent Nonlinear Component Analysis	5
Inference in Heavy-Tailed Nonstationary Multivariate Time Series	5
Fairness-Oriented Learning for Optimal Individualized Treatment Rules	5
Modeling and Learning on High-Dimensional Matrix-Variate Sequences	5