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POMĚNKOVÁ, J. KOLÁČEK, J.
Originální název
A Comparative Study of Boundary Effects for Kernel Smoothing
Typ
článek v časopise ve Web of Science, Jimp
Jazyk
angličtina
Originální abstrakt
The problem of boundary effects for nonparametric kernel regression is considered. We will follow the problem of bandwidth selection for Gasser-Muller estimator especially. There are two ways to avoid the difficulties caused by boundary effects in this work. The first one is to assume the circular design. This idea is effective for smooth periodic regression functions mainly. The second presented method is reflection method for kernel of the second order. The reflection method has an influence on the estimate outside edge points. The method of penalizing functions is used as a bandwidth selector. This work compares both techniques in a simulation study.
Klíčová slova
Bandwidth SelectionKernel EstimationNonparametric Regression
Autoři
POMĚNKOVÁ, J.; KOLÁČEK, J.
Vydáno
1. 10. 2006
ISSN
1026-597X
Periodikum
Austrian Journal of Statistics
Ročník
35
Číslo
2-3
Stát
Rakouská republika
Strany od
281
Strany do
288
Strany počet
8
URL
https://www.webofscience.com/wos/woscc/full-record/WOS:000442430200017
BibTex
@article{BUT188376, author="Jitka {Dluhá} and Jan {Koláček}", title="A Comparative Study of Boundary Effects for Kernel Smoothing", journal="Austrian Journal of Statistics", year="2006", volume="35", number="2-3", pages="281--288", issn="1026-597X", url="https://www.webofscience.com/wos/woscc/full-record/WOS:000442430200017" }