Iterative bandwidth method for kernel regression
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F12%3A00062860" target="_blank" >RIV/00216224:14310/12:00062860 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Iterative bandwidth method for kernel regression
Original language description
The aim of the contribution is to extend the idea of an iterative method known for a kernel density estimate to kernel regression. The method is based on a~suitable estimate of the mean integrated square error. This approach leads to an iterative quadratically convergent process. We conduct a~simulation study comparing the proposed method with the well-known cross-validation method. Results are implemented in Matlab.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BA - General mathematics
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Statistics: Advances in Theory and Applications
ISSN
0975-1262
e-ISSN
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Volume of the periodical
8
Issue of the periodical within the volume
2
Country of publishing house
IN - INDIA
Number of pages
13
Pages from-to
91-103
UT code for WoS article
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EID of the result in the Scopus database
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