1 citations · 2 across the 4 of their papers we have counts for
4 papers
An iterative algorithm for high-dimensional linear models with both sparse and non-sparse structures
Shun Yu, Yuehan Yang
Numerous practical medical problems often involve data that possess a combination of both sparse and non-sparse structures. Traditional penalized regularizations techniques, primar…
A model-free feature selection technique of feature screening and random forest based recursive feature elimination
Siwei Xia, Yuehan Yang
In this paper, we propose a model-free feature selection method for ultra-high dimensional data with mass features. This is a two phases procedure that we propose to use the fused…
A sequential stepwise screening procedure for sparse recovery in high-dimensional multiresponse models with complex group structures
Weixiong Liang, Yuehan Yang
Multiresponse data with complex group structures in both responses and predictors arises in many fields, yet, due to the difficulty in identifying complex group structures, only a…
Adaptive elastic net and Separate Selection from Least Squares for ultra-high dimensional regression models
Yuehan Yang, Hu Yang
This paper studies the asymptotic properties of the adaptive elastic net in ultra-high dimensional sparse linear regression models and proposes a new method called SSLS (Separate S…