6 citations · 9 across the 2 of their papers we have counts for
2 papers
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…