Asymptotics for $M$-Estimators Defined by Convex Minimization

Abstract

We consider M-estimators defined by minimization of a convex criterion function, not necessarily smooth. Our asymptotic results generalize some of those concerning the LAD estimators. We establish a Bahadur-type strong approximation and bounds on the rate of convergence.