Journal Statistics

158
Journal of the Royal Statistical Society Series B
papers tracked
396
Journal of the American Statistical Association
papers tracked
160
Annals of Statistics
papers tracked
113
Biometrika
papers tracked
320
Journal of Machine Learning Research
papers tracked

Recent Papers

JASA Jun 11, 2026
Optimal Network-Guided Covariate Selection for High-Dimensional Data Integration

Wanjie Wang, Tao Shen

High-Dimensional Statistics
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Biometrika Jun 11, 2026
Doubly robust identification for bivariate causal discovery under unmeasured confounding

Rui Duan, Sai Li, Wei Li

Causal Inference
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Biometrika Jun 11, 2026
Doubly Robust and Efficient Calibration of Prediction Sets for Right-Censored Time-to-Event Outcomes

Arun Kumar Kuchibhotla, Eric Tchetgen Tchetgen, Rebecca Farina

Statistical Learning Survival Analysis
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JRSSB Jun 11, 2026
Sampling from high-dimensional, multimodal distributions using automatically tuned, tempered Hamiltonian Monte Carlo

Joonha Park

High-Dimensional Statistics Computational Statistics
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JASA Jun 11, 2026
Calibrated Model Criticism Using Split Predictive Checks

Jiawei Li, Jonathan H. Huggins

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JASA Jun 11, 2026
Bayesian Transfer Learning for Enhanced Estimation and Inference

Xiang Li, Oscar Hernan Madrid Padilla, Daoyuan Lai et al.

Bayesian Statistics
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JASA Jun 11, 2026
Fairness-aware Contextual Dynamic Pricing with Strategic Buyers

Will Wei Sun, Pangpang Liu

Machine Learning
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Biometrika Jun 09, 2026
Locally differentially private two-sample testing

A Kent, T B Berrett, Y Yu

Hypothesis Testing
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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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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
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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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
Functional-SVD for Heterogeneous Trajectories: Case Studies in Health*

Anru R. Zhang, Jianbin Tan, Pixu Shi

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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 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
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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