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Journal of the American Statistical Association

Taylor & Francis

AJG 4ABDC A*
Abstract coverage—see Methodology
Recent paperssorted by most recent
PaperYearCitations
Translating predictive distributions into informative priors
Andrew A. Manderson & Robert J. B. Goudie
20264 citations
Balancing Weights for Causal Inference in Observational Factorial Studies
Ruoqi Yu & Peng Ding
20261 citations
Scalable community detection in massive networks via predictive assignment
Subhankar Bhadra et al.
20261 citations
Enhanced inference for distributions and quantiles of individual treatment effects in various experiments
Zhe Chen & Xinran Li
20261 citations
Towards Interpretable Deep Generative Models via Causal Representation Learning
Gemma E. Moran & Bryon Aragam
20261 citations
Contextual Dynamic Pricing: Algorithms, Optimality, and Local Differential Privacy Constraints
Zifeng Zhao et al.
20261 citations
A New Construction of Evidence Factors in an Observational Study of Light Daily Alcohol Consumption and Longevity
Paul R. Rosenbaum
20260 citations
Heterogeneous Gene Network Estimation for Single-Cell Transcriptomic Data via a Joint Regularized Deep Neural Network
Jingyuan Yang et al.
20260 citations
Mini-batch Estimation for Deep Cox Models: Statistical Foundations and Practical Guidance
Lu Zeng et al.
20260 citations
Inside-out cross-covariance for spatial multivariate data
Michele Peruzzi
20260 citations
Systemic and Systematic Risks-Driven Marginal Expected Side-effect
Liujun CHEN et al.
20260 citations
Scalable Estimation of Multinomial Response Models with Random Consideration Sets
Siddhartha Chib & Kenichi Shimizu
20260 citations
High-dimensional Statistical Inference and Variable Selection Using Sufficient Dimension Association
Shangyuan Ye et al.
20260 citations
Factorial Difference-in-Differences*
Yiqing Xu et al.
20260 citations
Differentially Private Sliced Inverse Regression in the Federated Paradigm
Shuaida He et al.
20260 citations
Hyperbolic Network Latent Space Model with Learnable Curvature
Jinming Li et al.
20260 citations
Theory for Identification and Inference with Synthetic Controls: A Proximal Causal Inference Framework
Xu Shi et al.
20260 citations
A Physics-Informed Spatiotemporal Deep Learning Framework for Turbulent Systems
Luca Menicali et al.
20260 citations
Staleness Factors and Volatility Estimation at High Frequencies
Xinbing Kong et al.
20260 citations
Optimized variance estimation under interference and complex experimental designs
Christopher Harshaw et al.
20260 citations

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