Journal of the American Statistical Association

Article	Citations
Classified Mixed Model Projections	163
Multivariate Sparse Clustering for Extremes	158
A Kernel Log-Rank Test of Independence for Right-Censored Data	84
Rerandomization in Stratified Randomized Experiments	72
Greedy Segmentation for a Functional Data Sequence	65
Collaborative Multilabel Classification	64
Model-Assisted Estimation Through Random Forests in Finite Population Sampling	55
A Reproducing Kernel Hilbert Space Approach to Functional Calibration of Computer Models	55
A Particle Method for Solving Fredholm Equations of the First Kind	50
Nonparametric Causal Effects Based on Longitudinal Modified Treatment Policies	41
Communication-Efficient Accurate Statistical Estimation	38
Handbook of Bayesian, Fiducial, and Frequentist Inference.	38
Multivariate Rank-Based Distribution-Free Nonparametric Testing Using Measure Transportation	36
Factor Augmented Inverse Regression and its Application to Microbiome Data Analysis	33
Multiple Change Point Detection in Reduced Rank High Dimensional Vector Autoregressive Models	31
Structure–Adaptive Sequential Testing for Online False Discovery Rate Control	31
High-Dimensional Spatial Quantile Function-on-Scalar Regression	28
Dynamic Treatment Regimes: Statistical Methods for Precision Medicine	26
Partially Observed Dynamic Tensor Response Regression	25
Introduction to the Special Section on Synthetic Control Methods	25
An Introduction to Acceptance Sampling and SPC with R	25
A Multimodal Multilevel Neuroimaging Model for Investigating Brain Connectome Development	23
Back to Our Future: Text Analytics Insights	23
Heterogeneity Analysis on Multi-State Brain Functional Connectivity and Adolescent Neurocognition	22
Mediation Analysis with the Mediator and Outcome Missing Not at Random	21

Supervised Dynamic PCA: Linear Dynamic Forecasting with Many Predictors	21
Ranking Inferences Based on the Top Choice of Multiway Comparisons	21
Exact Decoding of a Sequentially Markov Coalescent Model in Genetics	19
Contextual Dynamic Pricing with Strategic Buyers	19
Assessing COVID-19 Prevalence in Austria with Infection Surveys and Case Count Data as Auxiliary Information	19
Kernel Estimation of Bivariate Time-Varying Coefficient Model for Longitudinal Data with Terminal Event	19
Ideal Bayesian Spatial Adaptation	18
Unveiling the Unobservable: Causal Inference on Multiple Derived Outcomes	17
Synthetic Likelihood in Misspecified Models	17
Unified Unconditional Regression for Multivariate Quantiles, M-Quantiles, and Expectiles	17
A Semiparametric Inverse Reinforcement Learning Approach to Characterize Decision Making for Mental Disorders	17
Introduction to Environmental Data Science	17
Hidden Markov Pólya Trees for High-Dimensional Distributions	16
On Robustness of Individualized Decision Rules	16
Projection Test for Mean Vector in High Dimensions	16
A Zero-Inflated Logistic Normal Multinomial Model for Extracting Microbial Compositions	16
Anomaly Detection for a Large Number of Streams: A Permutation-Based Higher Criticism Approach	16
Online Bootstrap Inference For Policy Evaluation In Reinforcement Learning	16
Transformation-Invariant Learning of Optimal Individualized Decision Rules with Time-to-Event Outcomes	15
A History of Data Visualization and Graphic Communication,	15
Bootstrapping Extreme Value Estimators	15
Exact Bayesian Inference for Diffusion-Driven Cox Processes	14
Self-supervised Metric Learning in Multi-View Data: A Downstream Task Perspective	14
Proximal Learning for Individualized Treatment Regimes Under Unmeasured Confounding	14
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.	14
Sparse Reduced Rank Huber Regression in High Dimensions	14
Statistical Inferences for Complex Dependence of Multimodal Imaging Data	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
Nonparametric Empirical Bayes Prediction	13
Bayesian Conditional Transformation Models	13
Coverage Properties of Empirical Bayes Intervals: A Discussion of “Confidence Intervals for Nonparametric Empirical Bayes Analysis” by Ignatiadis and Wager	13
Improved Small Domain Estimation via Compromise Regression Weights	13
Subspace Estimation with Automatic Dimension and Variable Selection in Sufficient Dimension Reduction	13
On Learning and Testing of Counterfactual Fairness through Data Preprocessing	13
Analysis of Variance of Tensor Product Reproducing Kernel Hilbert Spaces on Metric Spaces	12
Modeling Preferences: A Bayesian Mixture of Finite Mixtures for Rankings and Ratings	12
Ordinal Data Analysis: Statistical Perspective with Applications	12
Sensitivity Analysis for Quantiles of Hidden Biases in Matched Observational Studies	12
What is a Randomization Test?	12
Analyzing Big EHR Data—Optimal Cox Regression Subsampling Procedure with Rare Events	11
Partially Linear Additive Regression with a General Hilbertian Response	11
Censored Interquantile Regression Model with Time-Dependent Covariates	11
Robust Matrix Completion with Heavy-Tailed Noise	11
Combining Matching and Synthetic Control to Tradeoff Biases From Extrapolation and Interpolation	11
Variable Selection Via Thompson Sampling	11
Confidently Comparing Estimates with the c-value	11
Simultaneous Decorrelation of Matrix Time Series	11
DDAC-SpAM: A Distributed Algorithm for Fitting High-dimensional Sparse Additive Models with Feature Division and Decorrelation	11
Robust Inference and Modeling of Mean and Dispersion for Generalized Linear Models	11
Estimation of Copulas via Maximum Mean Discrepancy	11

Scalable Bayesian Transport Maps for High-Dimensional Non-Gaussian Spatial Fields	11
Multifile Partitioning for Record Linkage and Duplicate Detection	11
High-Dimensional MANOVA Via Bootstrapping and Its Application to Functional and Sparse Count Data	10
A Wavelet-Based Independence Test for Functional Data With an Application to MEG Functional Connectivity	10
Optimal Estimation of the Number of Network Communities	10
Sparse Convoluted Rank Regression in High Dimensions	10
When Frictions Are Fractional: Rough Noise in High-Frequency Data	10
Conditional Functional Graphical Models	10
High-Dimensional Mediation Analysis for Selecting DNA Methylation Loci Mediating Childhood Trauma and Cortisol Stress Reactivity	10
Capture-Recapture Models with Heterogeneous Temporary Emigration	10
Earthquake Risk Embedded in Property Prices: Evidence From Five Japanese Cities	10
Statistical Inference with Local Optima	10
Random Forests for Spatially Dependent Data	10
Matrix Completion Methods for Causal Panel Data Models	9
Federated Offline Reinforcement Learning	9
Higher-Order Expansions and Inference for Panel Data Models	9
A Novel Approach of High Dimensional Linear Hypothesis Testing Problem	9
Correction	9
Identifiability and Consistent Estimation for Gaussian Chain Graph Models	9
Semiparametric Proximal Causal Inference	9
Recommender Systems: A Review	9
Dimension Reduction for Fréchet Regression	9
Correction	9
Design of experiments for generalized linear models	9
Quantification of Vaccine Waning as a Challenge Effect	9
Model-Assisted Uniformly Honest Inference for Optimal Treatment Regimes in High Dimension	9
Off-Policy Confidence Interval Estimation with Confounded Markov Decision Process	9
Spatio-Temporal Cross-Covariance Functions under the Lagrangian Framework with Multiple Advections	9
Differential Privacy for Government Agencies—Are We There Yet?	9
ℓ 1 -based Bayesian Ideal Point Model for Multidimensional Politics	9
Correction to “Modeling Time-Varying Random Objects and Dynamic Networks”	9
A General Framework for Circular Local Likelihood Regression	9
Uniform Projection Designs and Strong Orthogonal Arrays	9
Clustering High-Dimensional Noisy Categorical Data	8
Split Knockoffs for Multiple Comparisons: Controlling the Directional False Discovery Rate	8
Statistical Foundations Driving 21st Century Innovation	8
U-Statistic Reduction: Higher-Order Accurate Risk Control and Statistical-Computational Trade-Off	8
Structural Equation Modeling Using R/SAS: A Step-by-Step Approach with Real Data Analysis	8
Rejoinder	8
Permutation Tests at Nonparametric Rates	8
Fast, Optimal, and Targeted Predictions Using Parameterized Decision Analysis	8
Sparse Independent Component Analysis with an Application to Cortical Surface fMRI Data in Autism	8
A Composite Likelihood-Based Approach for Change-Point Detection in Spatio-Temporal Processes	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
Variable Selection in the Presence of Factors: A Model Selection Perspective	8
Discussion of “Confidence Intervals for Nonparametric Empirical Bayes Analysis”	8
Semi-Supervised Linear Regression	8
Inference of Breakpoints in High-dimensional Time Series	8
Testing a Large Number of Composite Null Hypotheses Using Conditionally Symmetric Multidimensional Gaussian Mixtures in Genome-Wide Studies	8
Optimal Subsampling via Predictive Inference	8
In Nonparametric and High-Dimensional Models, Bayesian Ignorability is an Informative Prior	8
On Characterizations and Tests of Benford’s Law	8
Rejoinder: Confidence Intervals for Nonparametric Empirical Bayes Analysis	8
Sparse Identification and Estimation of Large-Scale Vector AutoRegressive Moving Averages	8
Inference in Experiments With Matched Pairs	8
Testing Independence Under Biased Sampling	8
Policy Learning with Asymmetric Counterfactual Utilities	7
High-Order Joint Embedding for Multi-Level Link Prediction	7
Covariate-Informed Latent Interaction Models: Addressing Geographic & Taxonomic Bias in Predicting Bird–Plant Interactions	7
Rejoinder: LESA: Longitudinal Elastic Shape Analysis of Brain Subcortical Structures	7
Correction	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
On Optimality of Mallows Model Averaging	7
Estimation of the Number of Spiked Eigenvalues in a Covariance Matrix by Bulk Eigenvalue Matching Analysis	7
Enveloped Huber Regression	7
Benign Overfitting and Noisy Features	7
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	7
Editorial: What Makes for a Great Applications and Case Studies Paper?	7
Dynamic Causal Effects Evaluation in A/B Testing with a Reinforcement Learning Framework	7
Rejoinder: A Scale-free Approach for False Discovery Rate Control in Generalized Linear Models	7
Semiparametric Multinomial Logistic Regression for Multivariate Point Pattern Data	7
Deconvolution density estimation with penalized MLE	7
Stick-Breaking Processes With Exchangeable Length Variables	7
Comment on “Factor Models for High-Dimensional Tensor Time Series” by Rong Chen, Dan Yang, and Cun-Hui Zhang	7
Coordinatewise Gaussianization: Theories and Applications	7
Discussion of “A Gibbs Sampler for a Class of Random Convex Polytopes”	7
Handbook of Measurement Error Models	7
Matching on Generalized Propensity Scores with Continuous Exposures	7
Robust Estimation for Number of Factors in High Dimensional Factor Modeling via Spearman Correlation Matrix	7

Advanced Survival Models	7
An adaptive adjustment to the R2 statistic in high-dimensional elliptical models	6
Modeling Pregnancy Outcomes Through Sequentially Nested Regression Models	6
Network Functional Varying Coefficient Model	6
Modeling and Learning From Variation and Covariation	6
Robust Estimation of Large Panels with Factor Structures	6
Inference in Heavy-Tailed Nonstationary Multivariate Time Series	6
Statistically Efficient Advantage Learning for Offline Reinforcement Learning in Infinite Horizons	6
Factor Modeling for Clustering High-Dimensional Time Series	6
Sharp Nonparametric Bounds for Decomposition Effects with Two Binary Mediators	6
Bayesian Modeling with Spatial Curvature Processes	6
A Doubly Enhanced EM Algorithm for Model-Based Tensor Clustering	6
Covariance Estimation for Matrix-valued Data	6
Single-index Thresholding in Quantile Regression	6
Fairness-Oriented Learning for Optimal Individualized Treatment Rules	6
Objective Bayesian Inference.	6
Robust High-Dimensional Regression with Coefficient Thresholding and Its Application to Imaging Data Analysis	6
A Generalized Integration Approach to Association Analysis with Multi-category Outcome: An Application to a Tumor Sequencing Study of Colorectal Cancer and Smoking	6
A Random Projection Approach to Hypothesis Tests in High-Dimensional Single-Index Models	6
Federated Adaptive Causal Estimation (FACE) of Target Treatment Effects	6
Two-Way Truncated Linear Regression Models with Extremely Thresholding Penalization	6
Semiparametric Regression with R	6
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	6
Soccer Analytics: An Introduction Using R	6
Statistical Modeling for Spatio-Temporal Data From Stochastic Convection-Diffusion Processes	6
An Algebraic Estimator for Large Spectral Density Matrices	6
Balancing Covariates in Randomized Experiments with the Gram–Schmidt Walk Design	6
Inference on Multi-level Partial Correlations Based on Multi-subject Time Series Data	6
Optimal Design of Experiments on Riemannian Manifolds	6
Spectral Density Estimation for Nonstationary Data With Nonzero Mean Function	5
Robust Regression with Covariate Filtering: Heavy Tails and Adversarial Contamination	5
RaSE: A Variable Screening Framework via Random Subspace Ensembles	5
Compositional Graphical Lasso Resolves the Impact of Parasitic Infection on Gut Microbial Interaction Networks in a Zebrafish Model	5
Rejoinder—A Gibbs Sampler for a Class of Random Convex Polytopes	5
Doubly-Valid/Doubly-Sharp Sensitivity Analysis for Causal Inference with Unmeasured Confounding	5
Tyranny-of-the-Minority Regression Adjustment in Randomized Experiments	5
Hierarchical Neyman-Pearson Classification for Prioritizing Severe Disease Categories in COVID-19 Patient Data	5
Covariate Information Number for Feature Screening in Ultrahigh-Dimensional Supervised Problems	5
Policy Optimization Using Semiparametric Models for Dynamic Pricing	5
An Automated Approach to Causal Inference in Discrete Settings	5
Modeling Point Referenced Spatial Count Data: A Poisson Process Approach	5
Bias-Correction and Test for Mark-Point Dependence with Replicated Marked Point Processes	5
Sensitivity Analysis via the Proportion of Unmeasured Confounding	5
Model-Free Statistical Inference on High-Dimensional Data	5
Data Fission: Splitting a Single Data Point	5
Distribution-Free Prediction Intervals Under Covariate Shift, With an Application to Causal Inference	5
Assumption-Lean Cox Regression	5
A Semiparametric Kernel Independence Test With Application to Mutational Signatures	5
Large-Scale Hypothesis Testing for Causal Mediation Effects with Applications in Genome-wide Epigenetic Studies	5
Modeling High-Dimensional Time Series: A Factor Model With Dynamically Dependent Factors and Diverging Eigenvalues	5
Factor Models for High-Dimensional Tensor Time Series	5
Crop Yield Prediction Using Bayesian Spatially Varying Coefficient Models with Functional Predictors	5
A Bayesian Hierarchical CACE Model Accounting for Incomplete Noncompliance With Application to a Meta-analysis of Epidural Analgesia on Cesarean Section	5
Sampling Algorithms for Discrete Markov Random Fields and Related Graphical Models	5
Estimation of Linear Functionals in High-Dimensional Linear Models: From Sparsity to Nonsparsity	5
Modeling Recurrent Failures on Large Directed Networks	5
Modeling and Learning on High-Dimensional Matrix-Variate Sequences	5
Test of Weak Separability for Spatially Stationary Functional Field	5
Node-Level Community Detection within Edge Exchangeable Models for Interaction Processes	5
Hypothesis Tests for Structured Rank Correlation Matrices	5