Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
417373 | Computational Statistics & Data Analysis | 2006 | 27 Pages |
Abstract
A possible approach to bandwidth selection for difference-based variance estimators in the nonparametric regression is proposed. The approach is based on the crossvalidation-type idea modified for the case of correlated data. The method is compared to an alternative plug-in style method. Difficulties in implementing the latter are highlighted and it is argued that the proposed method represents a better alternative. Simulations for several models are given that illustrate good practical performance of the proposed method.
Related Topics
Physical Sciences and Engineering
Computer Science
Computational Theory and Mathematics
Authors
M. Levine,