Yao, Weixin; Wang, Qin - In: Computational Statistics & Data Analysis 63 (2013) C, pp. 42-49
Dimension reduction and variable selection play important roles in high dimensional data analysis. The sparse MAVE, a model-free variable selection method, is a nice combination of shrinkage estimation, Lasso, and an effective dimension reduction method, MAVE (minimum average variance...