2 papers
math.ST2025
Enhancing Signal Proportion Estimation Through Leveraging Arbitrary Covariance Structures
Jingtian Bai, Xinge Jessie Jeng
Accurately estimating the proportion of true signals among a large number of variables is crucial for enhancing the precision and reliability of scientific research. Traditional si…
stat.ML2017
Learning Gaussian Graphical Models Using Discriminated Hub Graphical Lasso
Zhen Li, Jingtian Bai, Weilian Zhou
We develop a new method called Discriminated Hub Graphical Lasso (DHGL) based on Hub Graphical Lasso (HGL) by providing prior information of hubs. We apply this new method in two s…