Inference for sparse linear regression based on the leave-one-covariate-out solution path
{{output}}
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 provides a novel way to calculate variable importance and conduct variable scre... ...
