Journal Statistics

189
Journal of the Royal Statistical Society Series B
papers tracked
436
Journal of the American Statistical Association
papers tracked
169
Annals of Statistics
papers tracked
124
Biometrika
papers tracked
409
Journal of Machine Learning Research
papers tracked

Recent Papers

JASA Jul 27, 2026
On Large-Scale System of Sparse Linear Equations with Tree Structures and its Applications to Fiber Optic Networks

Bing-Yi Jing, Ya Wang, Zejian Xie et al.

High-Dimensional Statistics
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JASA Jul 27, 2026
Optimal Network-Guided Covariate Selection for High-Dimensional Data Integration

Wanjie Wang, Tao Shen

High-Dimensional Statistics
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JASA Jul 27, 2026
Scalable Bayesian Inference for Time Series via Divide and Conquer

David Dunson, Rihui Ou, Lachlan Astfalck et al.

Bayesian Statistics Time Series
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JASA Jul 27, 2026
Rate Optimality and Phase Transition for User-Level Local Differential Privacy

Yi Yu, Thomas B. Berrett, Alexander Kent

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JASA Jul 27, 2026
Enhanced localized conformal prediction with imperfect auxiliary information

Changliang Zou, Yinjie Min, Liuhua Peng

Statistical Learning
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JASA Jul 27, 2026
Randomization Tests for Adaptively Collected Data

Lucas Janson, Yash Nair

Experimental Design
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JASA Jul 27, 2026
Online Change Rate Learning for Functional Data

Deru Kong, Ping Yu, Tiejun Tong et al.

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JASA Jul 27, 2026
Deconfounding via Profiled Transfer Learning

Fang Yao, Jingyuan Liu, Ziyuan Chen et al.

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JASA Jul 27, 2026
When a Cusum Stops, What Confidence Is There that the Alarm Is Not False?

Moshe Pollak

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JASA Jul 27, 2026
Optimal Tests of the Composite Null Hypothesis Arising in Mediation Analysis

Caleb H. Miles, Antoine Chambaz

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JASA Jul 27, 2026
Causal Inference with Generative Artificial Intelligence: Application to Texts as Treatments*

Kosuke Imai, Kentaro Nakamura

Causal Inference Machine Learning
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JASA Jul 27, 2026
Distributed Semiparametric Inference for Heterogeneous Sites via Single-Round Communication

Yong Chen, Yudong Wang, Zhisheng Ye et al.

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JASA Jul 27, 2026
Identifiability and Inference for Generalized Latent Factor Models

Gongjun Xu, Chengyu Cui

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JASA Jul 27, 2026
Parallelly Tempered Generative Adversarial Nets: Toward Stabilized Gradients

Jinwon Sohn, Qifan Song

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JASA Jul 27, 2026
Weight-calibrated estimation for factor models of high-dimensional time series*

Qiwei Yao, Bo Zhang, Xinghao Qiao et al.

High-Dimensional Statistics Time Series
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JASA Jul 27, 2026
Post-clustering Inference under Dependence

Javier González-Delgado, Mathis Deronzier, Juan Cortés et al.

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JASA Jul 27, 2026
Interpretable Scalar-on-Image Linear Regression Models via the Generalized Dantzig Selector

Sijia Liao, Xiaoxiao Sun, Ning Hao et al.

Machine Learning
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AOS Jul 25, 2026
Smooth Flow Matching

Anru Zhang, Jianbin Tan

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AOS Jul 24, 2026
Ridge-Regularized Largest Root Test For High-Dimensional General Linear Hypotheses

Haoran Li

High-Dimensional Statistics
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AOS Jul 22, 2026
Fast Wasserstein rates for estimating probability distributions of probabilistic graphical models

Daniel Bartl, Stephan Eckstein

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