3 papers
stat.OT2025
Taylor's Theorem and Mean Value Theorem for Random Functions and Random Variables
Yifan Yang, Xiaoyu Zhou, Ming Wang
This study addresses the often-overlooked issue of measurability at intermediate points when applying Taylor's theorems to random functions and random vectors (e.g., likelihood fun…
stat.ME2025
Hypothesis testing under uniform-block covariance structures
Yifan Yang, Shuo Chen, Ming Wang
A block covariance structure is widely observed across large-scale and high-dimensional datasets in diverse fields such as biology, medicine, engineering, economics, and finance. T…
stat.ME2024
Covariance Matrix Estimation for High-Throughput Biomedical Data with Interconnected Communities
Yifan Yang, Chixiang Chen, Shuo Chen
Estimating a covariance matrix is central to high-dimensional data analysis. Empirical analyses of high-dimensional biomedical data, including genomics, proteomics, microbiome, and…