Journal Statistics

157
Journal of the Royal Statistical Society Series B
papers tracked
394
Journal of the American Statistical Association
papers tracked
160
Annals of Statistics
papers tracked
110
Biometrika
papers tracked
320
Journal of Machine Learning Research
papers tracked

Recent Papers

JASA Jun 08, 2026
Structured Conformal Inference for Matrix Completion with Applications to Group Recommender Systems

Matteo Sesia, Xin Tong, Ziyi Liang et al.

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JASA Jun 08, 2026
Development of Public Health Policy by Digital Twin Microsimulation and Q-learning: A COVID-19 Booster Case Study

Jian Kang, Guoxuan Ma, Sicong Xie et al.

Computational Statistics
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JRSSB Jun 08, 2026
Selective randomization inference for adaptive experiments

Qingyuan Zhao, Tobias Freidling, Zijun Gao

Experimental Design
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JASA Jun 08, 2026
Modelling Spatial Density: Data, Methods, and R Applications in Statistics, Econometrics, and Machine Learning.

Ting Fung Ma

Machine Learning Econometrics
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JASA Jun 08, 2026
Learn then Decide: A Learning Approach for Designing Data Marketplaces

Yong Chen, Yingqi Gao, Wenlu Xu et al.

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JASA Jun 08, 2026
Adaptive Transfer Clustering: A Unified Framework

Kaizheng Wang, Zhongyuan Lyu, Yuqi Gu

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Biometrika Jun 05, 2026
Automatic debiased machine learning for covariate shifts

V Chernozhukov, M Newey, W K Newey et al.

Machine Learning
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JASA Jun 04, 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 Jun 04, 2026
Another Look at High-Dimensional Regression in Principal Components Space and The Blessing of Dimensionality

Hui Zou, Yang Song

Machine Learning High-Dimensional Statistics
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JASA Jun 04, 2026
Covariance test for discretely observed functional data: when and how it works?

Fang Yao, Yang Zhou, Jin Yang

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JASA Jun 04, 2026
Stationarity of Manifold Time Series

Dehan Kong, Junhao Zhu, Zhaolei Zhang et al.

Time Series
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JASA Jun 04, 2026
Distribution-Free Signs and Ranks via Optimal Transport under Multivariate Symmetry and Application to One-Sample Location Testing

Bodhisattva Sen, Zhen Huang

Hypothesis Testing
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JASA Jun 04, 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 Jun 04, 2026
Tests for principal eigenvalues and eigenvectors

Jianqing Fan, Yingying Li, Ningning Xia et al.

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JASA Jun 04, 2026
Localized Sparse Principal Component Analysis of Multivariate Time Series in the Frequency Domain

Amita Manatunga, Jamshid Namdari, Fabio Ferrarelli et al.

Machine Learning High-Dimensional Statistics Time Series
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JASA Jun 04, 2026
Residual Importance Weighted Transfer Learning for High-dimensional Linear Regression

Chenlei Leng, Junlong Zhao, Shengbin Zheng

Machine Learning High-Dimensional Statistics
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JASA Jun 04, 2026
Inside-out cross-covariance for spatial multivariate data

Michele Peruzzi

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JASA Jun 04, 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 Jun 04, 2026
Testing for integer integration in functional time series

Won-Ki Seo, Han Lin Shang

Time Series Hypothesis Testing
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JASA Jun 04, 2026
Functional-SVD for Heterogeneous Trajectories: Case Studies in Health*

Anru R. Zhang, Jianbin Tan, Pixu Shi

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