Journal of the American Statistical Association

Article	Citations
Classified Mixed Model Projections	174
Correction to “Modeling Time-Varying Random Objects and Dynamic Networks”	117
Analysis of Variance of Tensor Product Reproducing Kernel Hilbert Spaces on Metric Spaces	77
Greedy Segmentation for a Functional Data Sequence	67
Coverage Properties of Empirical Bayes Intervals: A Discussion of “Confidence Intervals for Nonparametric Empirical Bayes Analysis” by Ignatiadis and Wager	60
U-Statistic Reduction: Higher-Order Accurate Risk Control and Statistical-Computational Trade-Off	55
Handbook of Bayesian, Fiducial, and Frequentist Inference	48
Off-Policy Confidence Interval Estimation with Confounded Markov Decision Process	42
A Semiparametric Inverse Reinforcement Learning Approach to Characterize Decision Making for Mental Disorders	41
In Nonparametric and High-Dimensional Models, Bayesian Ignorability is an Informative Prior	39
Censored Interquantile Regression Model with Time-Dependent Covariates	37
Kernel Estimation of Bivariate Time-Varying Coefficient Model for Longitudinal Data with Terminal Event	37
Combining Matching and Synthetic Control to Tradeoff Biases From Extrapolation and Interpolation	34
Bayesian Conditional Transformation Models	34
On Robustness of Individualized Decision Rules	33
The Effect of Alcohol intake on Brain White Matter Microstructural Integrity: A New Causal Inference Framework for Incomplete Phenomic Data	33
A Minimax Two-Sample Test for Functional Data via Grothendieck’s Divergence	33
Subspace Estimation with Automatic Dimension and Variable Selection in Sufficient Dimension Reduction	28
Reversible Jump PDMP Samplers for Variable Selection	26
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	26
Comments on “Data Fission: Splitting a Single Data Point”	25
Hypothesis Tests for Structured Rank Correlation Matrices	24
Posterior Predictive Design for Phase I Clinical Trials	24
Inference in High-Dimensional Multivariate Response Regression with Hidden Variables	24
Covariate-Informed Latent Interaction Models: Addressing Geographic & Taxonomic Bias in Predicting Bird–Plant Interactions	23

Modeling the Extremes of Bivariate Mixture Distributions With Application to Oceanographic Data	23
Spectral Density Estimation for Nonstationary Data With Nonzero Mean Function	23
Soccer Analytics: An Introduction Using R	21
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	20
Optimal Dynamic Treatment Regimes and Partial Welfare Ordering	19
Bootstrap Prediction Bands for Functional Time Series	19
Theory of Statistical Inference	19
Covariance Estimation for Matrix-valued Data	19
The ICML 2023 Ranking Experiment: Examining Author Self-Assessment in ML/AI Peer Review	19
Matching on Generalized Propensity Scores with Continuous Exposures	19
Two-Way Truncated Linear Regression Models with Extremely Thresholding Penalization	18
Rejoinder: LESA: Longitudinal Elastic Shape Analysis of Brain Subcortical Structures	18
A Random Projection Approach to Hypothesis Tests in High-Dimensional Single-Index Models	18
Rejoinder: Confidence Intervals for Nonparametric Empirical Bayes Analysis	18
Rejoinder: A Scale-free Approach for False Discovery Rate Control in Generalized Linear Models	17
Sparse Bayesian Multidimensional Item Response Theory	17
Distributional Outcome Regression via Quantile Functions and its Application to Modelling Continuously Monitored Heart Rate and Physical Activity	17
Enveloped Huber Regression	16
Network Varying Coefficient Model	16
Coordinatewise Gaussianization: Theories and Applications	16
Robust Leave-One-Out Cross-Validation for High-Dimensional Bayesian Models	16
Kernel Meets Sieve: Transformed Hazards Models with Sparse Longitudinal Covariates	16
Estimation and Variable Selection for Interval-Censored Failure Time Data with Random Change Point and Application to Breast Cancer Study	16
A Feasibility Study of Differentially Private Summary Statistics and Regression Analyses with Evaluations on Administrative and Survey Data	16
Efficient Estimation in the Fine and Gray Model	16
Efficient Estimation for Censored Quantile Regression	16
Weighted Functional Data Analysis for the Calibration of a Ground Motion Model in Italy	16
Statistical Analytics for Health Data Science with SAS and R	16
Comment on: “Confidence Intervals for Nonparametric Empirical Bayes Analysis” by Ignatiadis and Wager	16
Model-Based Machine Learning	16
Graphical Principal Component Analysis of Multivariate Functional Time Series	15
CARE: Large Precision Matrix Estimation for Compositional Data	15
Generalized Bayesian Additive Regression Trees Models: Beyond Conditional Conjugacy	15
Statistical Prediction and Machine Learning	15
Testing Directed Acyclic Graph via Structural, Supervised and Generative Adversarial Learning	15
Improved bounds and inference on optimal regimes	14
Conformal Prediction for Network-Assisted Regression	14
Understanding Inequalities in Cancer Survival Using Bayesian Machine Learning	14
Bayesian Landmark-Based Shape Analysis of Tumor Pathology Images	14
On the Comparative Analysis of Average Treatment Effects Estimation via Data Combination	14
A Unified Inference for Predictive Quantile Regression	14
Variable Selection for Global Fréchet Regression	14
Asymptotic Distribution-Free Independence Test for High-Dimension Data	13
eDNAPlus: A Unifying Modeling Framework for DNA-based Biodiversity Monitoring	13
Models for Multi-State Survival Data: Rates, Risks, and Pseudo-Values	13
Doubly Flexible Estimation under Label Shift	13
Matching One Sample According to Two Criteria in Observational Studies	13
Inference on the proportion of variance explained in principal component analysis	13
Estimating Heterogeneous Exposure Effects in the Case-Crossover Design Using BART	13

Minimum Resource Threshold Policy Under Partial Interference	13
Data Fusion Using Weakly Aligned Sources	13
Discussion of “LESA: Longitudinal Elastic Shape Analysis of Brain Subcortical Structures”	13
Matrix Completion, Counterfactuals, and Factor Analysis of Missing Data	13
GEE-Assisted Variable Selection for Latent Variable Models with Multivariate Binary Data	12
Rejoinder	12
Joint Spectral Clustering in Multilayer Degree-Corrected Stochastic Blockmodels	12
Hypotheses Testing from Complex Survey Data Using Bootstrap Weights: A Unified Approach	12
Do We Exploit all Information for Counterfactual Analysis? Benefits of Factor Models and Idiosyncratic Correction	12
Large-Scale Low-Rank Gaussian Process Prediction with Support Points	12
On Semiparametrically Dynamic Functional-Coefficient Autoregressive Spatio-Temporal Models with Irregular Location Wide Nonstationarity	12
Group Network Hawkes Process	12
Inference for High-Dimensional Exchangeable Arrays	12
Assessing the Most Vulnerable Subgroup to Type II Diabetes Associated with Statin Usage: Evidence from Electronic Health Record Data	11
Optimal Simulator Selection	11
Is a Classification Procedure Good Enough?—A Goodness-of-Fit Assessment Tool for Classification Learning	11
Accelerating Bayesian Structure Learning in Sparse Gaussian Graphical Models	11
Functional Mixed Effects Clustering with Application to Longitudinal Urologic Chronic Pelvic Pain Syndrome Symptom Data	11
Estimating the Spectral Density at Frequencies Near Zero	11
Financial Data Analytics with R: Monte-Carlo Validation	11
A Penalized Synthetic Control Estimator for Disaggregated Data	11
Functional Estimation and Change Detection for Nonstationary Time Series	11
Asymmetric Error Control Under Imperfect Supervision: A Label-Noise-Adjusted Neyman–Pearson Umbrella Algorithm	11
Higher-Order Accurate Two-Sample Network Inference and Network Hashing	10
Discussion of “Data Fission: Splitting a Single Data Point” – Some Asymptotic Results for Data Fission	10
Deep Regression for Repeated Measurements	10
Probability Modeling and Statistical Inference in Cancer Screening	10
Random effects model-based sufficient dimension reduction for independent clustered data	10
Estimation and Inference of Extremal Quantile Treatment Effects for Heavy-Tailed Distributions	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
Divide-and-Conquer: A Distributed Hierarchical Factor Approach to Modeling Large-Scale Time Series Data	10
Graph-Aligned Random Partition Model (GARP)	10
Convex and Nonconvex Optimization Are Both Minimax-Optimal for Noisy Blind Deconvolution Under Random Designs	9
Crowdsourcing Utilizing Subgroup Structure of Latent Factor Modeling	9
A Likelihood-Based Approach for Multivariate Categorical Response Regression in High Dimensions	9
Network Inference Using the Hub Model and Variants	9
Rate-Optimal Rank Aggregation with Private Pairwise Rankings	9
Bayesian Nonparametric Common Atoms Regression for Generating Synthetic Controls in Clinical Trials	9
An Additive Graphical Model for Discrete Data	9
Statistical Modeling with R: A Dual Frequentist and Bayesian Approach for Life Scientists	9
Off-Policy Evaluation in Doubly Inhomogeneous Environments	9
Causal Inference for Social Network Data	9
Efficient Multimodal Sampling via Tempered Distribution Flow	9
Comments on “Measuring Housing Vitality from Multi-Source Big Data and Machine Learning”	9
Chain-linked Multiple Matrix Integration via Embedding Alignment	9
Community Detection in General Hypergraph Via Graph Embedding	8
Estimation and Inference of Quantile Spatially Varying Coefficient Models Over Complicated Domains	8
Natural Gradient Variational Bayes Without Fisher Matrix Analytic Calculation and Its Inversion	8
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	8
Dynamic Treatment Regimes: Statistical Methods for Precision Medicine	8
Counterfactual Analysis With Artificial Controls: Inference, High Dimensions, and Nonstationarity	8
Classification Trees for Imbalanced Data: Surface-to-Volume Regularization	8
Online Policy Learning and Inference by Matrix Completion	8
Statistical Inference For Noisy Matrix Completion Incorporating Auxiliary Information	8
Generalized Linear Mixed Models: Modern Concepts, Methods and Applications, 2nd ed.	8
Spatial Statistics for Data Science: Theory and Practice with R.,	8
Robustifying Likelihoods by Optimistically Re-weighting Data	8
Testing Mutually Exclusive Hypotheses for Multi-Response Regressions	8
Rejective Sampling, Rerandomization, and Regression Adjustment in Survey Experiments	8
Bayesian Spatial Blind Source Separation via the Thresholded Gaussian Process	8
A Deep Generative Approach to Conditional Sampling	8
Scaled Process Priors for Bayesian Nonparametric Estimation of the Unseen Genetic Variation	8
A Decorrelating and Debiasing Approach to Simultaneous Inference for High-Dimensional Confounded Models	8
Bayesian Edge Regression in Undirected Graphical Models to Characterize Interpatient Heterogeneity in Cancer	8
Confidently Comparing Estimates with the c-value	7
Collaborative Multilabel Classification	7
Factor Augmented Sparse Throughput Deep ReLU Neural Networks for High Dimensional Regression	7
Capture-Recapture Models with Heterogeneous Temporary Emigration	7
Permutation Tests at Nonparametric Rates	7
Manipulating an Instrumental Variable in an Observational Study of Premature Babies: Design, Bounds, and Inference	7
Compositional Graphical Lasso Resolves the Impact of Parasitic Infection on Gut Microbial Interaction Networks in a Zebrafish Model	7
High-Dimensional Knockoffs Inference for Time Series Data	7
Quantification of Vaccine Waning as a Challenge Effect	7
High-Order Joint Embedding for Multi-Level Link Prediction	7
Factor Augmented Inverse Regression and its Application to Microbiome Data Analysis	7
A Multimodal Multilevel Neuroimaging Model for Investigating Brain Connectome Development	7
When Frictions Are Fractional: Rough Noise in High-Frequency Data	7
On the poor statistical properties of the P -curve meta-analytic procedure	7
Deep Fréchet Regression	7

On a Notion of Graph Centrality Based on L 1 Data Depth	7
A Wasserstein Index of Dependence for Random Measures	7
PCABM: Pairwise Covariates-Adjusted Block Model for Community Detection	7
Fast Network Community Detection With Profile-Pseudo Likelihood Methods	7
Inference in Heavy-Tailed Nonstationary Multivariate Time Series	7
Enhanced Response Envelope via Envelope Regularization	7
Discovery and Inference of a Causal Network with Hidden Confounding	7
Structural Equation Modeling Using R/SAS: A Step-by-Step Approach with Real Data Analysis	7
High-Dimensional Time Series Segmentation via Factor-Adjusted Vector Autoregressive Modeling	7
Exact Decoding of a Sequentially Markov Coalescent Model in Genetics	7
Unified Unconditional Regression for Multivariate Quantiles, M-Quantiles, and Expectiles	7
Statistical Inference with Local Optima	7
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	7
A Novel Approach of High Dimensional Linear Hypothesis Testing Problem	7
Estimation of Copulas via Maximum Mean Discrepancy	7
Robust Regression with Covariate Filtering: Heavy Tails and Adversarial Contamination	7
Deep Mutual Density Ratio Estimation with Bregman Divergence and Its Applications	7
Statistical Inference for Hüsler–Reiss Graphical Models Through Matrix Completions	7
Nonparametric Multiple-Output Center-Outward Quantile Regression	7
Ranking Inferences Based on the Top Choice of Multiway Comparisons	7
Hamiltonian-Assisted Metropolis Sampling	7
Recommender Systems: A Review	7
Communication-Efficient Accurate Statistical Estimation	7
A Reproducing Kernel Hilbert Space Approach to Functional Calibration of Computer Models	7
ℓ 1 -based Bayesian Ideal Point Model for Multidimensional Politics	7
Fair Coins Tend to Land on the Same Side They Started: Evidence from 350,757 Flips	6
Bayesian Inference Using the Proximal Mapping: Uncertainty Quantification Under Varying Dimensionality	6
Correction to: Semiparametric Inference for Non-monotone Missing-Not-at-Random Data: the No Self-Censoring Model	6
Sparse Graphical Modeling for High Dimensional Data: A Paradigm of Conditional Independence Tests	6
False Discovery Rate Control via Data Splitting	6
Discussion of “Regression Models for Understanding COVID-19 Epidemic Dynamics With Incomplete Data”	6
Efficient Stochastic Generators with Spherical Harmonic Transformation for High-Resolution Global Climate Simulations from CESM2-LENS2	6
Graphical Model Inference with Erosely Measured Data	6
Monte Carlo Inference for Semiparametric Bayesian Regression	6
Inference for Dispersion and Curvature of Random Objects	6
Ridge Regression Under Dense Factor Augmented Models	6
Handbook of Matching and Weighting Adjustments for Causal Inference	6
An Efficient Coalescent Model for Heterochronously Sampled Molecular Data	6
Discussion of “Confidence Intervals for Nonparametric Empirical Bayes Analysis”	6
Optimal Nonparametric Inference with Two-Scale Distributional Nearest Neighbors	6
Bayesian Bootstrap Spike-and-Slab LASSO	6
Controlled Epidemiological Studies	6
Operationalizing Legislative Bodies: A Methodological and Empirical Perspective with a Bayesian Approach	6
Statistical Learning for Individualized Asset Allocation	6
Semi-Supervised Triply Robust Inductive Transfer Learning	6
Neural Networks for Geospatial Data	6
Conditional Separable Effects	6
Test of Weak Separability for Spatially Stationary Functional Field	6
Estimation and Inference for Nonparametric Expected Shortfall Regression over RKHS	6
Estimating Higher-Order Mixed Memberships via the l2,∞ Tensor Perturbation Bound	6
Accommodating Time-Varying Heterogeneity in Risk Estimation under the Cox Model: A Transfer Learning Approach	6
Understanding Implicit Regularization in Over-Parameterized Single Index Model	6
Mapping the Genetic-Imaging-Clinical Pathway with Applications to Alzheimer’s Disease	6
Derandomizing Knockoffs	6
Efficient Distributed Learning over Decentralized Networks with Convoluted Support Vector Machine*	6
Tests for Large-Dimensional Shape Matrices via Tyler’s M Estimators	6
Fast Approximation of the Shapley Values Based on Order-of-Addition Experimental Designs	6