Journal Statistics

200
Journal of the Royal Statistical Society Series B
papers tracked
481
Journal of the American Statistical Association
papers tracked
184
Annals of Statistics
papers tracked
129
Biometrika
papers tracked
478
Journal of Machine Learning Research
papers tracked

Recent Papers

JASA Sep 14, 2026
Two-way Homogeneity Pursuit for Quantile Network Vector Autoregression

Jianqing Fan, Xuening Zhu, Ganggang Xu et al.

Machine Learning
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Biometrika Sep 11, 2026
Geodesic difference-in-differences

Daisuke Kurisu, Taisuke Otsu, Yidong Zhou et al.

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JASA Sep 11, 2026
Optimal estimation in private distributed functional data analysis

Yi Yu, Zhenhua Lin, Gengyu Xue

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JASA Sep 10, 2026
Model-free Feature Screening and False Discovery Control for High-dimensional Quantile Regressions

Runze Li, Cong Cheng, Yuan Ke et al.

Machine Learning High-Dimensional Statistics
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JRSSB Sep 10, 2026
The partial <i>K</i> function

Jake P Grainger, Tuomas A Rajala, David J Murrell et al.

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JASA Sep 10, 2026
Privacy-Preserving Transfer Learning for Community Detection using Locally Distributed Multiple Networks

Xuming He, Xiangyu Chang, Xiao Guo et al.

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Biometrika Sep 10, 2026
Predictions as Surrogates: Revisiting Surrogate Outcomes in the Age of AI

Tijana Zrnic, Lihua Lei, Wenlong Ji

Machine Learning Statistical Learning
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JASA Sep 10, 2026
Asymptotic FDR Control with Model-X Knockoffs: Is Moments Matching Sufficient?

Yingying Fan, Jinchi Lv, Xiaocong Xu et al.

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JMLR Sep 09, 2026
A Library for Learning Neural Operators

Kamyar Azizzadenesheli, Jean Kossaifi, Anima Anandkumar et al.

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AOS Sep 09, 2026
On universality of non-separable Approximate Message Passing algorithms

Tianhao Wang, Max Lovig, Zhou Fan

Computational Statistics
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AOS Sep 09, 2026
Joint Parameter Estimations for Spin Glasses

Qiang Wu, Wei-Kuo Chen, Arnab Sen

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AOS Sep 09, 2026
Community detection for binary graphical models in high dimension

Julien Chevallier, Guilherme Ost

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AOS Sep 09, 2026
Localization Estimator for High Dimensional Tensor Covariance Matrices

Yumou Qiu, Song X Chen, Haoxuan Sun

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JMLR Sep 09, 2026
MarkDiffusion: An Open-Source Toolkit for Generative Watermarking of Latent Diffusion Models

Leyi Pan, Sheng Guan, Zheyu Fu et al.

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JMLR Sep 09, 2026
OptunaHub: A Platform for Black-Box Optimization

Yoshihiko Ozaki, Shuhei Watanabe, Toshihiko Yanase

Computational Statistics
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JMLR Sep 09, 2026
Unveiling the Statistical Foundations of Chain-of-Thought Prompting Methods

Zhuoran Yang, Fengzhuo Zhang, Xinyang Hu et al.

Machine Learning
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JMLR Sep 09, 2026
Prob-GParareal: A Probabilistic Numerical Parallel-in-Time Solver for Differential Equations

Guglielmo Gattiglio, Lyudmila Grigoryeva, Massimiliano Tamborrino

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JMLR Sep 09, 2026
From learnable objects to learnable random objects

Aaron Anderson, Michael Benedikt

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JMLR Sep 09, 2026
A Theoretical Framework for Masked Pretraining (MPT)

Qi Zhang, Yifei Wang, Yisen Wang et al.

Machine Learning
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JMLR Sep 09, 2026
Robustness Against Weak or Invalid Instruments: Exploring Nonlinear Treatment Models with Machine Learning

Peter Bühlmann, Zijian Guo, Mengchu Zheng

Machine Learning
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