Penalized robust regression in high-dimension

April, 2012
Report Number: 
813
Authors: 
Derek Bean, Peter Bickel, Noureddine El Karoui, Chingwhay Lim, Bin Yu
Abstract: 

We discuss the behavior of penalized robust regression estimators in high-dimension and compare our theoretical predictions to simulations. Our results show the importance of the geometry of the dataset and shed light on the theoretical behavior of LASSO and much more involved methods.

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