Yumou Qiu

15 catalog papers. Identity-linked publications and additional name matches are distinguished below.

ORCID: 0000-0003-4846-1263

School of Mathematical Sciences, Peking University, Beijing, China

Publications

• Debiased Calibration Estimation Using Generalized Entropy in Survey Sampling — Journal of the American Statistical Association 2026
• Versatile differentially private learning for general loss functions — The Annals of Statistics 2026 (name-matched, not ORCID-linked)
• Minimax detection boundary and sharp optimal test for Gaussian graphical models — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2024
• Density-based matching rule: Optimality, estimation, and application in forensic problems — The Annals of Applied Statistics 2024
• Unveiling the Unobservable: Causal Inference on Multiple Derived Outcomes — Journal of the American Statistical Association 2024
• Sharp optimality for high-dimensional covariance testing under sparse signals — The Annals of Statistics 2023
• Estimating COVID-19 vaccine protection rates via dynamic epidemiological models—a study of 10 countries — The Annals of Applied Statistics 2023
• Inference on Multi-level Partial Correlations Based on Multi-subject Time Series Data — Journal of the American Statistical Association 2022
• Inference of heterogeneous treatment effects using observational data with high-dimensional covariates — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2021
• Detecting rare and faint signals via thresholding maximum likelihood estimators — The Annals of Statistics 2018
• Bandwidth Selection for High-Dimensional Covariance Matrix Estimation — Journal of the American Statistical Association 2015
• Test for bandedness of high-dimensional covariance matrices and bandwidth estimation — The Annals of Statistics 2012
• Optimally adaptive test for high dimensional hypotheses via minimax deficiency — Journal of the American Statistical Association
• High-dimensional Clustering and Signal Recovery under Block Signals — Journal of the American Statistical Association
• Physics-guided Statistical Data Fusion for Reconstructing 3D Current Fields of Oceanic Eddies — Journal of the American Statistical Association