Bandwidth matrix selectors for multivariate kernel density estimation
HOROVÁ, Ivanka and Kamila VOPATOVÁ. Bandwidth matrix selectors for multivariate kernel density estimation. In Přednáška na University of Technology, Vienna. 2012. |
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Basic information | |
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Original name | Bandwidth matrix selectors for multivariate kernel density estimation |
Name in Czech | Volba vyhlazovací matice pro jádrové odhady vícerozměrných hustot |
Authors | HOROVÁ, Ivanka (203 Czech Republic, guarantor, belonging to the institution) and Kamila VOPATOVÁ (203 Czech Republic). |
Edition | Přednáška na University of Technology, Vienna, 2012. |
Other information | |
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Original language | English |
Type of outcome | Requested lectures |
Field of Study | 10103 Statistics and probability |
Country of publisher | Austria |
Confidentiality degree | is not subject to a state or trade secret |
RIV identification code | RIV/00216224:14310/12:00064169 |
Organization unit | Faculty of Science |
Keywords (in Czech) | hustota;jádro;vyhlazovací matice |
Keywords in English | density;kernel;bandwidth matrix |
Tags | International impact |
Changed by | Changed by: prof. RNDr. Ivanka Horová, CSc., učo 1951. Changed: 28/2/2013 10:00. |
Abstract |
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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. |
Abstract (in Czech) |
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Nejdůležitějším faktorem v jádrových odhadech vícerozměrných hustot je volba vyhlazovací matice. Je navrzena metoda pro odhady s plnou vyhlazovací maticí. |
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