Journal of the American Statistical Association

Papers
(The H4-Index of Journal of the American Statistical Association is 21. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-11-01 to 2025-11-01.)
ArticleCitations
Analysis of Variance of Tensor Product Reproducing Kernel Hilbert Spaces on Metric Spaces202
Coverage Properties of Empirical Bayes Intervals: A Discussion of “Confidence Intervals for Nonparametric Empirical Bayes Analysis” by Ignatiadis and Wager78
Correction to “Modeling Time-Varying Random Objects and Dynamic Networks”62
Censored Interquantile Regression Model with Time-Dependent Covariates43
Classified Mixed Model Projections43
In Nonparametric and High-Dimensional Models, Bayesian Ignorability is an Informative Prior41
The Effect of Alcohol Intake on Brain White Matter Microstructural Integrity: A New Causal Inference Framework for Incomplete Phenomic Data38
Frequency-Band Estimation of the Number of Factors*36
Consistent least squares estimation in population-size-dependent branching processes36
Off-Policy Confidence Interval Estimation with Confounded Markov Decision Process35
A Semiparametric Inverse Reinforcement Learning Approach to Characterize Decision Making for Mental Disorders34
Kernel Estimation of Bivariate Time-Varying Coefficient Model for Longitudinal Data with Terminal Event31
Subspace Estimation with Automatic Dimension and Variable Selection in Sufficient Dimension Reduction30
A Minimax Two-Sample Test for Functional Data via Grothendieck’s Divergence28
U-Statistic Reduction: Higher-Order Accurate Risk Control and Statistical-Computational Trade-Off26
Bayesian Conditional Transformation Models24
Handbook of Bayesian, Fiducial, and Frequentist Inference24
On Robustness of Individualized Decision Rules23
Sparse Bayesian Multidimensional Item Response Theory22
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 22
Rejoinder: A Scale-free Approach for False Discovery Rate Control in Generalized Linear Models21
Posterior Predictive Design for Phase I Clinical Trials21
Rejoinder: Confidence Intervals for Nonparametric Empirical Bayes Analysis21
Rejoinder: LESA: Longitudinal Elastic Shape Analysis of Brain Subcortical Structures21
Hypothesis Tests for Structured Rank Correlation Matrices21
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