Sharp rates of convergence of maximum likelihood estimators in nonparametric models

Abstract

Sharp rates of convergence of maximum likelihood estimators are established in models which are defined by probability densities having bounded derivatives. This result is achieved by making use of local properties of the empirical distribution function.