9 citations · 11 across the 3 of their papers we have counts for
3 papers
stat.ML2017
Weighted Orthogonal Components Regression Analysis
Xiaogang Su, Yaa Wonkye, Pei Wang +1
In the multiple linear regression setting, we propose a general framework, termed weighted orthogonal components regression (WOCR), which encompasses many known methods as special…
stat.ML2012★ 9 cited
Sparse Ising Models with Covariates
Jie Cheng, Elizaveta Levina, Pei Wang +1
There has been a lot of work fitting Ising models to multivariate binary data in order to understand the conditional dependency relationships between the variables. However, additi…
stat.AP2011★ 2 cited
A note on logistic regression and logistic kernel machine models
Ru Wang, Jie Peng, Pei Wang
This is a note on logistic regression models and logistic kernel machine models. It contains derivations to some of the expressions in a paper -- SNP Set Analysis for Detecting Dis…