Optimal bandwidth selection in kernel density estimation for continuous time dependent processes

摘要

The choice of the smoothing parameter in nonparametric function estimation is of major concern. The estimation accuracy highly depends on how such a choice is performed. In this paper, we construct a bandwidth selection procedure pertaining to the kernel density estimation when a continuous time dependent and stationary process is considered. (C) 2018 Elsevier B.V. All rights reserved.