4 citations · 6 across the 4 of their papers we have counts for
5 papers
Linear shrinkage for predicting responses in large-scale multivariate linear regression
Yihe Wang, Sihai Dave Zhao
We propose a new prediction method for multivariate linear regression problems where the number of features is less than the sample size but the number of outcomes is extremely lar…
Capturing patterns of variation unique to a specific dataset
Robin Tu, Alexander H. Foss, Sihai D. Zhao
Capturing patterns of variation present in a dataset is important in exploratory data analysis and unsupervised learning. Contrastive dimension reduction methods, such as contrasti…
Estimation and inference for the indirect effect in high-dimensional linear mediation models
Ruixuan Rachel Zhou, Liewei Wang, Sihai Dave Zhao
Mediation analysis is difficult when the number of potential mediators is larger than the sample size. In this paper we propose new inference procedures for the indirect effect in…
Simultaneous estimation of normal means with side information
Sihai Dave Zhao
The integrative analysis of multiple datasets is an important strategy in data analysis. It is increasingly popular in genomics, which enjoys a wealth of publicly available dataset…
Identifying Genetic Risk Factors via Sparse Group Lasso with Group Graph Structure
Tao Yang, Paul Thompson, Sihai Zhao +1
Genome-wide association studies (GWA studies or GWAS) investigate the relationships between genetic variants such as single-nucleotide polymorphisms (SNPs) and individual traits. R…