Journal Statistics

127
Journal of the Royal Statistical Society Series B
papers tracked
313
Journal of the American Statistical Association
papers tracked
136
Annals of Statistics
papers tracked
93
Biometrika
papers tracked
320
Journal of Machine Learning Research
papers tracked

Recent Papers

JASA Mar 10, 2026
Jump Contagion among Stock Market Indices: Evidence from Option Markets*

Roger J. A. Laeven, H. Peter Boswijk, Andrei Lalu et al.

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JASA Mar 10, 2026
Stationarity of Manifold Time Series

Dehan Kong, Junhao Zhu, Zhaolei Zhang et al.

Time Series
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Biometrika Mar 10, 2026
Dynamic covariate balancing: estimating treatment effects over time with potential local projections

Jelena Bradic, Davide Viviano

Causal Inference
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JASA Mar 10, 2026
Facilitating heterogeneous effect estimation via statistically efficient categorical modifiers

Daniel R. Kowal

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JASA Mar 10, 2026
Network Regression and Supervised Centrality Estimation

Junhui Cai, Dan Yang, Ran Chen et al.

Machine Learning
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JASA Mar 10, 2026
Introduction to Quantitative Social Science with Python

Salil Koner

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JASA Mar 10, 2026
Testing Independence and Conditional Independence in High Dimensions via Coordinatewise Gaussianization

Qiwei Yao, Jinyuan Chang, Yue Du et al.

Hypothesis Testing
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JASA Mar 10, 2026
Theory for Identification and Inference with Synthetic Controls: A Proximal Causal Inference Framework

Myeonghun Yu, Xu Shi, Arun Kumar Kuchibhotla et al.

Causal Inference
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JASA Mar 10, 2026
Staleness Factors and Volatility Estimation at High Frequencies

Xinbing Kong, Bin Wu, Wuyi Ye

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JASA Mar 10, 2026
A Burden Shared is a Burden Halved: A Fairness-Adjusted Approach to Classification

Bradley Rava, Wenguang Sun, Gareth M. James et al.

Machine Learning
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JASA Mar 10, 2026
Tests for principal eigenvalues and eigenvectors

Jianqing Fan, Yingying Li, Ningning Xia et al.

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JRSSB Mar 09, 2026
The causal effects of modified treatment policies under network interference

Salvador V Balkus, Scott W Delaney, Nima S Hejazi

Causal Inference
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JASA Mar 05, 2026
Scalable Bayesian Image-on-Scalar Regression for Population-Scale Neuroimaging Data Analysis

Jian Kang, Yuliang Xu, Timothy D. Johnson et al.

Machine Learning Bayesian Statistics
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JMLR Mar 03, 2026
Transformers Can Overcome the Curse of Dimensionality: A Theoretical Study from an Approximation Perspective

Yuling Jiao, Yanming Lai, Yang Wang et al.

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JMLR Mar 03, 2026
Online Bernstein-von Mises theorem

Jeyong Lee, Minwoo Chae, Junhyeok Choi

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JMLR Mar 03, 2026
Covariate-dependent Hierarchical Dirichlet Processes

Sara Wade, Huizi Zhang, Natalia Bochkina

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JMLR Mar 03, 2026
DCatalyst: A Unified Accelerated Framework for Decentralized Optimization

Gesualdo Scutari, TIanyu Cao, Xiaokai Chen

Computational Statistics
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JMLR Mar 03, 2026
Boosted Control Functions: Distribution Generalization and Invariance in Confounded Models

Jonas Peters, Niklas Pfister, Sebastian Engelke et al.

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JMLR Mar 03, 2026
Contrasting Local and Global Modeling with Machine Learning and Satellite Data: A Case Study Estimating Tree Canopy Height in African Savannas

Esther Rolf, Lucia Gordon, Milind Tambe et al.

Machine Learning
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JMLR Mar 03, 2026
A Symplectic Analysis of Alternating Mirror Descent

Jonas E. Katona, Xiuyuan Wang, Andre Wibisono

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