We consider a regression in which one of the observed variables is a proxy for some unobserved "true" variable. Given a lower bound for the correlation between the proxy and the unobserved true ...

We describe a systematic weighting scheme for the overlapping groups in the tree-penalty such that each regression coefficient is penalized in a balanced manner despite the inhomogeneous multiplicity ...