Bandwidth Selection in Robust Smoothing
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AbstractIn robust smoothing of regression functions of the type yi = m(xi) + ϵi,i = 1,., n, the theory in automatic bandwidth selection is still lacking. This paper tries to fill the gap by looking at the use of cross-validation methods in robust smoothing. Conjectures regarding the use of a class of robust cross-validation method are made. These are further complemented by examples, all of which showed favourably for the new method. © 1993, Taylor & Francis Group, LLC. All rights reserved.
All Author(s) ListLeung D., Wu E., Marriott F.
Volume Number2
Issue Number4
PublisherTaylor & Francis
Place of PublicationUnited Kingdom
Pages333 - 339
LanguagesEnglish-United Kingdom
Keywordsbandwidth, cross-validation, kernel, m-estimation, Nonparametric regression, robust smoothers, smoothing

Last updated on 2020-30-05 at 01:45