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
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
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
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)
Nejdůležitějším faktorem v jádrových odhadech vícerozměrných hustot je volba vyhlazovací matice. Je navrzena metoda pro odhady s plnou vyhlazovací maticí.
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