6 citations · 6 across the 2 of their papers we have counts for
3 papers
stat.ME2023
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.ME2023★ 6 cited
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…
stat.OT2021
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…