Novel harmonic regularization approach for variable selection in Cox's proportional hazards model

Abstract

Variable selection is an important issue in regression and a number of variable selection methods have been proposed involving nonconvex penalty functions. In this paper, we investigate a novel harmonic regularization method, which can approximate nonconvex Lq (1/2