Two tales of variable selection for high dimensional regression: Screening and model building
Two tales of variable selection for high dimensional regression: Screening and model building
Abstract Variable selection plays an important role in high‐dimensional regression problems where a large number of variables are given as potential predictors of a response of interest. Typically, it arises at two stages of statistical modeling, namely screening and formal model building, with different goals. Screening aims at filtering out …