Bandwidth matrix selectors for multivariate kernel density estimation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F12%3A00064169" target="_blank" >RIV/00216224:14310/12:00064169 - isvavai.cz</a>
Alternative codes found
RIV/00216224:14310/12:00064172
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Bandwidth matrix selectors for multivariate kernel density estimation
Original language description
The most important factor in multivariatte kernel density estimation is a choice of a bandwidth matrix. A method for data driven selectors of full bandwidth matrice is proposed.
Czech name
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Czech description
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Classification
Type
O - Miscellaneous
CEP classification
BB - Applied statistics, operational research
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