Threshold selection for group sparsity

The group Lasso is an extension of the Lasso or l1-penalised least squares procedure. It forces simultaneous zeroing of groups of variables and has already been applied to sparse component analysis and ill-conditioned inverse problems. In this paper we address the unresolved problem of threshold or penalty parameter selection.