ZELINKA, Jiří. Convolutions of polynomial kernels. Mathematica Slovaca. Veda, 2016, vol. 66, No 3, p. 745-756. ISSN 0139-9918. Available from: https://dx.doi.org/10.1515/ms-2015-0176.
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Basic information
Original name Convolutions of polynomial kernels
Name in Czech Konvoluce polynomiálních jader
Authors ZELINKA, Jiří (203 Czech Republic, guarantor, belonging to the institution).
Edition Mathematica Slovaca, Veda, 2016, 0139-9918.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 10103 Statistics and probability
Country of publisher Germany
Confidentiality degree is not subject to a state or trade secret
Impact factor Impact factor: 0.346
RIV identification code RIV/00216224:14310/16:00090976
Organization unit Faculty of Science
Doi http://dx.doi.org/10.1515/ms-2015-0176
UT WoS 000387221500023
Keywords (in Czech) jádrový odhad hustoty; konvoluce
Keywords in English kernel estimate of density; convolution
Tags AKR, rivok
Tags International impact, Reviewed
Changed by Changed by: Ing. Andrea Mikešková, učo 137293. Changed: 31/3/2017 10:31.
Abstract
Kernel estimates are an integral part of non-parametric statistics. Convolutions of the kernels can be found in some expressions describing properties of kernel estimates. This paper presents the exact construction of convolutions of polynomial kernels and their properties.
Abstract (in Czech)
Jádrové odhady jsou nedílnou součástí neparametrické statistiky. V některých výrazech popisujících vlastnosti jádrových odhadů se vyskytují konvoluce jádrových funkcí. Tento článek ukazuje exaktní konstrukci těchto konvolucí pro polynomiální jádra a jejich vlastnosti.
Links
CZ.1.07/2.4.00/17.0100, interní kód MUName: A-Math-Net Síť pro transfer znalostí v aplikované matematice
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