Journal of the American Statistical Association

Article	Citations
Classified Mixed Model Projections	203
Correction to “Modeling Time-Varying Random Objects and Dynamic Networks”	138
Handbook of Bayesian, Fiducial, and Frequentist Inference	104
Analysis of Variance of Tensor Product Reproducing Kernel Hilbert Spaces on Metric Spaces	72
Variable Selection Via Thompson Sampling	69
Greedy Segmentation for a Functional Data Sequence	60
U-Statistic Reduction: Higher-Order Accurate Risk Control and Statistical-Computational Trade-Off	58
Off-Policy Confidence Interval Estimation with Confounded Markov Decision Process	50
In Nonparametric and High-Dimensional Models, Bayesian Ignorability is an Informative Prior	48
Bayesian Conditional Transformation Models	43
Coverage Properties of Empirical Bayes Intervals: A Discussion of “Confidence Intervals for Nonparametric Empirical Bayes Analysis” by Ignatiadis and Wager	42
Censored Interquantile Regression Model with Time-Dependent Covariates	41
Subspace Estimation with Automatic Dimension and Variable Selection in Sufficient Dimension Reduction	34
A Semiparametric Inverse Reinforcement Learning Approach to Characterize Decision Making for Mental Disorders	33
Kernel Estimation of Bivariate Time-Varying Coefficient Model for Longitudinal Data with Terminal Event	32
Combining Matching and Synthetic Control to Tradeoff Biases From Extrapolation and Interpolation	31
On Robustness of Individualized Decision Rules	31
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
Inference of Breakpoints in High-dimensional Time Series	29
Estimation and Variable Selection for Interval-Censored Failure Time Data with Random Change Point and Application to Breast Cancer Study	29
Covariance Estimation for Matrix-valued Data	27
Reversible Jump PDMP Samplers for Variable Selection	27
Two-Way Truncated Linear Regression Models with Extremely Thresholding Penalization	24
Comments on “Data Fission: Splitting a Single Data Point”	24
A Random Projection Approach to Hypothesis Tests in High-Dimensional Single-Index Models	24

Coordinatewise Gaussianization: Theories and Applications	23
Theory of Statistical Inference	23
Inference in High-Dimensional Multivariate Response Regression with Hidden Variables	22
Enveloped Huber Regression	22
Inferring Causal Effect of a Digital Communication Strategy under a Latent Sequential Ignorability Assumption and Treatment Noncompliance	22
Node-Level Community Detection within Edge Exchangeable Models for Interaction Processes	21
Modeling the Extremes of Bivariate Mixture Distributions With Application to Oceanographic Data	21
Spectral Density Estimation for Nonstationary Data With Nonzero Mean Function	21
Soccer Analytics: An Introduction Using R	20
Bootstrap Prediction Bands for Functional Time Series	20
Covariate-Informed Latent Interaction Models: Addressing Geographic & Taxonomic Bias in Predicting Bird–Plant Interactions	20
Posterior Predictive Design for Phase I Clinical Trials	20
Rejoinder: Confidence Intervals for Nonparametric Empirical Bayes Analysis	19
Rejoinder: LESA: Longitudinal Elastic Shape Analysis of Brain Subcortical Structures	18
Rejoinder: A Scale-free Approach for False Discovery Rate Control in Generalized Linear Models	18
Sparse Bayesian Multidimensional Item Response Theory	17
Hypothesis Tests for Structured Rank Correlation Matrices	17
Distributional Outcome Regression via Quantile Functions and its Application to Modelling Continuously Monitored Heart Rate and Physical Activity	17
Optimal Dynamic Treatment Regimes and Partial Welfare Ordering	17
Sparse Identification and Estimation of Large-Scale Vector AutoRegressive Moving Averages	17
Network Varying Coefficient Model	16
Kernel Meets Sieve: Transformed Hazards Models with Sparse Longitudinal Covariates	16
Statistical Analytics for Health Data Science with SAS and R	16
Individualized Group Learning	16
Robust Leave-One-Out Cross-Validation for High-Dimensional Bayesian Models	16
Efficient Estimation in the Fine and Gray Model	16
Matching on Generalized Propensity Scores with Continuous Exposures	16
Statistical Prediction and Machine Learning.	16
A Feasibility Study of Differentially Private Summary Statistics and Regression Analyses with Evaluations on Administrative and Survey Data	16
Bayesian Landmark-Based Shape Analysis of Tumor Pathology Images	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	15
Testing Directed Acyclic Graph via Structural, Supervised and Generative Adversarial Learning	15
Comment on: “Confidence Intervals for Nonparametric Empirical Bayes Analysis” by Ignatiadis and Wager	15
Efficient Estimation for Censored Quantile Regression	15
Matrix Completion, Counterfactuals, and Factor Analysis of Missing Data	14
Model-Based Machine Learning	14
A Unified Inference for Predictive Quantile Regression	14
Variable Selection for Global Fréchet Regression	14
CARE: Large Precision Matrix Estimation for Compositional Data	14
Generalized Bayesian Additive Regression Trees Models: Beyond Conditional Conjugacy	14
eDNAPlus: A Unifying Modeling Framework for DNA-based Biodiversity Monitoring	14
On the Comparative Analysis of Average Treatment Effects Estimation via Data Combination	14
On Robustness of Principal Component Regression	13
Group Network Hawkes Process	13
Assessing the Most Vulnerable Subgroup to Type II Diabetes Associated with Statin Usage: Evidence from Electronic Health Record Data	13
Large-Scale Low-Rank Gaussian Process Prediction with Support Points	13
Inference for High-Dimensional Exchangeable Arrays	13
Discussion of “LESA: Longitudinal Elastic Shape Analysis of Brain Subcortical Structures”	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
Data Fusion Using Weakly Aligned Sources	12
Stochastic Tree Ensembles for Regularized Nonlinear Regression	12
Hypotheses Testing from Complex Survey Data Using Bootstrap Weights: A Unified Approach	12
Estimating Heterogeneous Exposure Effects in the Case-Crossover Design Using BART	12
Doubly Flexible Estimation under Label Shift	12
Rejoinder	12
Minimum Resource Threshold Policy Under Partial Interference	12
Matching One Sample According to Two Criteria in Observational Studies	12
Accelerating Bayesian Structure Learning in Sparse Gaussian Graphical Models	12
On Semiparametrically Dynamic Functional-Coefficient Autoregressive Spatio-Temporal Models with Irregular Location Wide Nonstationarity	12
Asymptotic Distribution-Free Independence Test for High-Dimension Data	12
Random effects model-based sufficient dimension reduction for independent clustered data	11
Optimal Simulator Selection	11
The Augmented Synthetic Control Method	11
Divide-and-Conquer: A Distributed Hierarchical Factor Approach to Modeling Large-Scale Time Series Data	11
A Likelihood-Based Approach for Multivariate Categorical Response Regression in High Dimensions	11
Causal Inference for Social Network Data	11
Functional Estimation and Change Detection for Nonstationary Time Series	11
Do We Exploit all Information for Counterfactual Analysis? Benefits of Factor Models and Idiosyncratic Correction	11
Causal Inference for Genomic Data with Multiple Heterogeneous Outcomes	11
Functional Mixed Effects Clustering with Application to Longitudinal Urologic Chronic Pelvic Pain Syndrome Symptom Data	11
Deep Regression for Repeated Measurements	11
A Discussion on: “Data Fission: Splitting a Single Data Point” by Leiner, J., Duan, B., Wasserman, L. and Ramdas, A.	11
Asymmetric Error Control Under Imperfect Supervision: A Label-Noise-Adjusted Neyman–Pearson Umbrella Algorithm	11
A Penalized Synthetic Control Estimator for Disaggregated Data	11
Is a Classification Procedure Good Enough?—A Goodness-of-Fit Assessment Tool for Classification Learning	11
Estimating the Spectral Density at Frequencies Near Zero	11
Comments on “A Gibbs Sampler for a Class of Random Convex Polytopes”	11
A Deep Generative Approach to Conditional Sampling	10
Estimation and Inference of Extremal Quantile Treatment Effects for Heavy-Tailed Distributions	10
Probability Modeling and Statistical Inference in Cancer Screening	10
Efficient Multimodal Sampling via Tempered Distribution Flow	10
Rate-Optimal Rank Aggregation with Private Pairwise Rankings	10
Spatial Statistics for Data Science: Theory and Practice with R.,	10
Comments on “Measuring Housing Vitality from Multi-Source Big Data and Machine Learning”	10
Statistical Modeling with R: A Dual Frequentist and Bayesian Approach for Life Scientists	10
Bayesian Nonparametric Common Atoms Regression for Generating Synthetic Controls in Clinical Trials	10
Off-Policy Evaluation in Doubly Inhomogeneous Environments	10
Discussion of “Data Fission: Splitting a Single Data Point” – Some Asymptotic Results for Data Fission	10
Testing mutually exclusive hypotheses for multi-response regressions	10
Correction	10
Rejective Sampling, Rerandomization, and Regression Adjustment in Survey Experiments	10
Convex and Nonconvex Optimization Are Both Minimax-Optimal for Noisy Blind Deconvolution Under Random Designs	10
Graph-Aligned Random Partition Model (GARP)	10
Crowdsourcing Utilizing Subgroup Structure of Latent Factor Modeling	10
Filtering the Rejection Set While Preserving False Discovery Rate Control	10
Natural Gradient Variational Bayes Without Fisher Matrix Analytic Calculation and Its Inversion	10
An Additive Graphical Model for Discrete Data	10
A Decorrelating and Debiasing Approach to Simultaneous Inference for High-Dimensional Confounded Models	9
Robustifying Likelihoods by Optimistically Re-weighting Data	9
Estimation and Inference of Quantile Spatially Varying Coefficient Models Over Complicated Domains	9
Classification Trees for Imbalanced Data: Surface-to-Volume Regularization	9
Bayesian Spatial Blind Source Separation via the Thresholded Gaussian Process	9
Comment on “A Gibbs Sampler for a Class of Random Convex Polytopes”	9
Counterfactual Analysis With Artificial Controls: Inference, High Dimensions, and Nonstationarity	9
Generalized Linear Mixed Models: Modern Concepts, Methods and Applications, 2nd ed.	9
Network Inference Using the Hub Model and Variants	9
Statistical Inference For Noisy Matrix Completion Incorporating Auxiliary Information	9
Scaled Process Priors for Bayesian Nonparametric Estimation of the Unseen Genetic Variation	9
Community Detection in General Hypergraph Via Graph Embedding	9
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	9
Factor Augmented Sparse Throughput Deep ReLU Neural Networks for High Dimensional Regression	8
Dynamic Treatment Regimes: Statistical Methods for Precision Medicine	8
Capture-Recapture Models with Heterogeneous Temporary Emigration	8
Statistical Inference with Local Optima	8
A Reproducing Kernel Hilbert Space Approach to Functional Calibration of Computer Models	8
Confidently Comparing Estimates with the c-value	8
ℓ 1 -based Bayesian Ideal Point Model for Multidimensional Politics	8
Exact Decoding of a Sequentially Markov Coalescent Model in Genetics	8
Testing Independence Under Biased Sampling	8
Collaborative Multilabel Classification	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
Structural Equation Modeling Using R/SAS: A Step-by-Step Approach with Real Data Analysis	8
Estimation of Copulas via Maximum Mean Discrepancy	8
A Multimodal Multilevel Neuroimaging Model for Investigating Brain Connectome Development	8
Factor Augmented Inverse Regression and its Application to Microbiome Data Analysis	8
Bayesian Edge Regression in Undirected Graphical Models to Characterize Interpatient Heterogeneity in Cancer	8
When Frictions Are Fractional: Rough Noise in High-Frequency Data	8
A Novel Approach of High Dimensional Linear Hypothesis Testing Problem	8

Quantification of Vaccine Waning as a Challenge Effect	7
Deep Fréchet Regression	7
Hamiltonian-Assisted Metropolis Sampling	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
Nonparametric Multiple-Output Center-Outward Quantile Regression	7
High-Dimensional Knockoffs Inference for Time Series Data	7
Permutation Tests at Nonparametric Rates	7
Communication-Efficient Accurate Statistical Estimation	7
Ranking Inferences Based on the Top Choice of Multiway Comparisons	7
Test of Weak Separability for Spatially Stationary Functional Field	7
High-Dimensional Time Series Segmentation via Factor-Adjusted Vector Autoregressive Modeling	7
Inference on Multi-level Partial Correlations Based on Multi-subject Time Series Data	7
Robust Regression with Covariate Filtering: Heavy Tails and Adversarial Contamination	7
High-Order Joint Embedding for Multi-Level Link Prediction	7
Recommender Systems: A Review	7
A Wasserstein Index of Dependence for Random Measures	7
Stick-Breaking Processes With Exchangeable Length Variables	7
Statistical Inference for Hüsler–Reiss Graphical Models Through Matrix Completions	7
Discovery and Inference of a Causal Network with Hidden Confounding	7
PCABM: Pairwise Covariates-Adjusted Block Model for Community Detection	7
Enhanced Response Envelope via Envelope Regularization	7
Unified Unconditional Regression for Multivariate Quantiles, M-Quantiles, and Expectiles	7
Ridge Regression Under Dense Factor Augmented Models	6
Handbook of Matching and Weighting Adjustments for Causal Inference	6
Operationalizing Legislative Bodies: A Methodological and Empirical Perspective with a Bayesian Approach	6
Skeleton Clustering: Dimension-Free Density-Aided Clustering	6
Statistical Learning for Individualized Asset Allocation	6
Bayesian Bootstrap Spike-and-Slab LASSO	6
Neural Networks for Geospatial Data	6
False Discovery Rate Control via Data Splitting	6
Semi-Supervised Triply Robust Inductive Transfer Learning	6
Estimation and Inference for Nonparametric Expected Shortfall Regression over RKHS	6
Sparse Graphical Modeling for High Dimensional Data: A Paradigm of Conditional Independence Tests	6
Bayesian Inference Using the Proximal Mapping: Uncertainty Quantification Under Varying Dimensionality	6
Efficient Stochastic Generators with Spherical Harmonic Transformation for High-Resolution Global Climate Simulations from CESM2-LENS2	6
Tests for Large-Dimensional Shape Matrices via Tyler’s M Estimators	6
Reinforcement Learning in Latent Heterogeneous Environments	6
Accommodating Time-Varying Heterogeneity in Risk Estimation under the Cox Model: A Transfer Learning Approach	6
Nonparametric Bounds for Causal Effects in Imperfect Randomized Experiments	6
Estimating Higher-Order Mixed Memberships via the l2,∞ Tensor Perturbation Bound	6
Latent Gaussian Count Time Series	6
Monte Carlo Inference for Semiparametric Bayesian Regression	6
Correction to: Semiparametric Inference for Non-monotone Missing-Not-at-Random Data: the No Self-Censoring Model	6
An Efficient Coalescent Model for Heterochronously Sampled Molecular Data	6
Estimating Causal Peer Influence in Homophilous Social Networks by Inferring Latent Locations	6
Discussion of “Regression Models for Understanding COVID-19 Epidemic Dynamics With Incomplete Data”	6
Mapping the Genetic-Imaging-Clinical Pathway with Applications to Alzheimer’s Disease	6
Graphical Model Inference with Erosely Measured Data	6
Conditional Separable Effects	6
Fast Approximation of the Shapley Values Based on Order-of-Addition Experimental Designs	6
Fast Network Community Detection With Profile-Pseudo Likelihood Methods	6
Optimal Nonparametric Inference with Two-Scale Distributional Nearest Neighbors	6
Discussion of “Confidence Intervals for Nonparametric Empirical Bayes Analysis”	6