Carnegie Mellon University
file.pdf (356.89 kB)

On the Asymptotic Properties of The Group Lasso Estimator for Linear Models

Download (356.89 kB)
journal contribution
posted on 2012-12-01, 00:00 authored by Yuval Nardi, Alessandro Rinaldo

We establish estimation and model selection consistency, prediction and estimation bounds and persistence for the group-lasso estimator and model selector proposed by Yuan and Lin (2006) for least squares problems when the covariates have a natural grouping structure. We consider the case of a fixed-dimensional parameter space with increasing sample size and the double asymptotic scenario where the model complexity changes with the sample size.


Publisher Statement

All Rights Reserved



Usage metrics