High-Dimensional Inference Based on the Leave-One-Covariate-Out LASSO Path

Xiangyang Cao, Karl Gregory, Dewei Wang

We propose a new measure of variable importance in high-dimensional regression based on the change in the LASSO solution path when one covariate is left out. The proposed procedure…