6 citations · 11 across the 6 of their papers we have counts for
4 papers · 1 filter
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…
An Efficient Data Integration Scheme for Synthesizing Information from Multiple Secondary Datasets for the Parameter Inference of the Main Analysis
Chixiang Chen, Ming Wang, Shuo Chen
Many observational studies and clinical trials collect various secondary outcomes that may be highly correlated with the primary endpoint. These secondary outcomes are often analyz…
Bayesian Nonlinear Tensor Regression with Functional Fused Elastic Net Prior
Shuoli Chen, Kejun He, Shiyuan He +2
Tensor regression methods have been widely used to predict a scalar response from covariates in the form of a multiway array. In many applications, the regions of tensor covariates…
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…