Deconvolution of P (X < Y) with supersmooth error distributions

摘要

This paper deals with the nonparametric estimation of P (X < Y) when both X and Y are observed with additional errors. We develop a deconvolution estimator and show that it is minimax optimal and adaptive in the case of supersmooth error distributions. Some numerical results are presented.