Introduces a knockoffs-based method for selecting variables in L1-penalized regressions that is general, handles n < p cases, and provides covariate importance ordering.
On model selection consistency of L asso
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The revisited knockoffs method for variable selection in L1-penalised regressions
Introduces a knockoffs-based method for selecting variables in L1-penalized regressions that is general, handles n < p cases, and provides covariate importance ordering.