Rates of convergence of some estimators in a class of deconvolution problems

This paper studies the problem of estimating the density of U when only independent copies of X = U + Z is observable where Z is an independent measurement error. Convergence rates of a family of deconvolved kernel density estimators are obtained under different assumptions on the density of Z.Deconvolution density estimation mean squared error measurement error rates of convergence uniform convergence