Journal Statistics

46
Journal of the Royal Statistical Society Series B
papers tracked
152
Journal of the American Statistical Association
papers tracked
76
Annals of Statistics
papers tracked
30
Biometrika
papers tracked
115
Journal of Machine Learning Research
papers tracked

Recent Papers

AOS Sep 02, 2025
Information Theoretic Limits of Robust Sub-Gaussian Mean Estimation Under Star-Shaped Constraints

Matey Neykov, Akshay Prasadan

Machine Learning
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AOS Sep 02, 2025
Optimality of Approximate Message Passing for Spiked Matrix Models with Rotationally Invariant Noise

Rishabh Dudeja, Songbin Liu, Junjie Ma

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AOS Sep 02, 2025
Adaptive Robust Confidence Intervals

Yuetian Luo, Chao Gao

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AOS Aug 27, 2025
Communication-Efficient and Distributed-Oracle Estimation for High-Dimensional Quantile Regression

Songshan Yang, Yifan Gu, Xuming He et al.

Machine Learning High-Dimensional Statistics
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AOS Aug 27, 2025
Optimal Convex $M$-Estimation via Score Matching

Oliver Y. Feng, Yu-Chun Kao, Min Xu et al.

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AOS Aug 27, 2025
Semiparametric Bernstein-Von Mises Phenomenon via Isotonized Posterior in Wicksell’s Problem

Francesco Gili, Aad van der Vaart, Geurt Jongbloed

Bayesian Statistics
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AOS Aug 08, 2025
Neural Networks Generalize on Low Complexity Data

Sourav Chatterjee, Timothy Sudijono

Machine Learning
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AOS Aug 02, 2025
Berry-Esseen Bounds for Design-Based Causal Inference With Possibly Diverging Treatment Levels and Varying Group Sizes

Peng Ding, Lei Shi

Causal Inference
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AOS Aug 02, 2025
Multivariate Root-N-Consistent Smoothing Parameter Free Matching Estimators and Estimators of Inverse Density Weighted Expectations

Hajo Holzmann, Alexander Meister

Nonparametric Statistics
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AOS Aug 02, 2025
Change Point Estimation for a Stochastic Heat Equation

Markus Reiß, Claudia Strauch, Lukas Trottner

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AOS Aug 02, 2025
Pseudo-Labeling for Kernel Ridge Regression under Covariate Shift

Kaizheng Wang

Nonparametric Statistics Machine Learning High-Dimensional Statistics
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AOS Aug 02, 2025
A Computational Transition for Detecting Correlated Stochastic Block Models by Low-Degree Polynomials

Jian Ding, Zhangsong Li, Guanyi Chen et al.

Computational Statistics
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AOS Jul 30, 2025
Solving the Poisson Equation Using Coupled Markov Chains

Pierre Etienne Jacob, Randal Douc, Anthony Lee et al.

Machine Learning Bayesian Statistics
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JMLR Jul 30, 2025
DRM Revisited: A Complete Error Analysis

Yuling Jiao, Ruoxuan Li, Peiying Wu et al.

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AOS Jul 30, 2025
Average Partial Effect Estimation Using Double Machine Learning

Harvey Klyne, Rajen Shah

Machine Learning
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AOS Jul 30, 2025
Fundamental Limits of Community Detection From Multi-View Data: Multi-Layer, Dynamic and Partially Labeled Block Models

Subhabrata Sen, Xiaodong Yang, Buyu Lin

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AOS Jul 30, 2025
Online Estimation with Rolling Validation: Adaptive Nonparametric Estimation with Streaming Data

Tianyu Zhang, Jing Lei

Nonparametric Statistics
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AOS Jul 30, 2025
Poisson Empirical Bayes Estimation: When Doesg-Modeling Beatf-Modeling in Theory (And in Practice)?

Yihong Wu, Yandi Shen

Bayesian Statistics
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AOS Jul 30, 2025
High-Dimensional Hilbert-Schmidt Linear Regression with Hilbert Manifold Variables

Changwon Choi, Byeong U. Park

Machine Learning High-Dimensional Statistics
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AOS Jul 30, 2025
Optimal Sequencing Depth for Single-Cell RNA-Sequencing in Wasserstein Space

Jakwang Kim, Sharvaj Kubal, Geoffrey Schiebinger

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