Scholion.ai

A bandwidth selector for local linear density estimators

Ming-Yen Cheng

The Annals of Statistics · 1997 · Volume 25 · Issue 3

DOI: 10.1214/aos/1069362735

Abstract

Local linear density estimators achieve automatic boundary corrections and enjoy some typical optimal properties. Proper choice of the smoothing parameters is crucial for their performance. A data-based bandwidth selector is developed in the spirit of plug-in rules. Consistency and asymptotic normality of the selected bandwidth are demonstrated. The bandwidth is very efficient regardless of whether there are non-smooth boundaries in the support of the density or not.

Keywords

62G07, bandwidth, boundary effects, data binning, local linear density estimation, plug-in bandwidth selector

Enable JavaScript for citation tools and additional paper interactions.