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%2F14%3A00074755" target="_blank" >RIV/00216224:14310/14:00074755 - isvavai.cz</a>
Alternative codes found
RIV/60162694:G42__/14:00504663
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
Multivariate kernel density estimators have become a common tool for empirical studies. These estimators depend on the choice of a crucial parameter -- the bandwidth matrix. In this paper, we propose an extension of the iterative method for finding the bandwidth matrix not only for density estimation but also for estimating its derivatives. This procedure is illustrated by a simulation study and two real data sets.
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
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<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
Theoretical and Applied Issues in Statistics and Demography
ISBN
9786188125773
Number of pages of the result
14
Pages from-to
33-46
Number of pages of the book
349
Publisher name
International Society for the Advancement of Science and Technology (ISAST)
Place of publication
Athens
UT code for WoS chapter
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