6 citations · 11 across the 3 of their papers we have counts for
3 papers
math.ST2011★ 2 cited
Selection Consistency of EBIC for GLIM with Non-canonical Links and Diverging Number of Parameters
Shan Luo, Zehua Chen
In this article, we investigate the properties of the EBIC in variable selection for generalized linear models with non-canonical links and diverging number of parameters in ultra-…
stat.ME2011★ 6 cited
Sequential Lasso for feature selection with ultra-high dimensional feature space
Shan Luo, Zehua Chen
We propose a novel approach, Sequential Lasso, for feature selection in linear regression models with ultra-high dimensional feature spaces. We investigate in this article the asym…
math.ST2011★ 3 cited
Extended BIC for linear regression models with diverging number of relevant features and high or ultra-high feature spaces
Shan Luo, Zehua Chen
In many conventional scientific investigations with high or ultra-high dimensional feature spaces, the relevant features, though sparse, are large in number compared with classical…