Sparse least trimmed squares regression for analyzing high-dimensional large data sets

Andreas Alfons, Christophe Croux, Sarah Gelper

Sparse model estimation is a topic of high importance in modern data analysis due to the increasing availability of data sets with a large number of variables. Another common probl…