HOROVÁ, Ivanka and Kamila VOPATOVÁ. Kernel Density Gradient Estimate. In Frederic Ferraty. Recent Advances in Functional Data Analysis and Related Topics. Heidelberg: Physica Verlag, 2011, p. 177-182. ISBN 978-3-7908-2735-4.
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Basic information
Original name Kernel Density Gradient Estimate
Authors HOROVÁ, Ivanka (203 Czech Republic, guarantor, belonging to the institution) and Kamila VOPATOVÁ (203 Czech Republic).
Edition Heidelberg, Recent Advances in Functional Data Analysis and Related Topics, p. 177-182, 6 pp. 2011.
Publisher Physica Verlag
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10103 Statistics and probability
Country of publisher Germany
Confidentiality degree is not subject to a state or trade secret
WWW read on-line
RIV identification code RIV/00216224:14310/11:00052567
Organization unit Faculty of Science
ISBN 978-3-7908-2735-4
ISSN 1431-1968
Keywords in English Kernel; bandwidth matrix; gradient estimator
Tags AKR, rivok
Changed by Changed by: Ing. Andrea Mikešková, učo 137293. Changed: 8/4/2012 21:42.
Abstract
The aim of this contribution is to develop a method for a bandwidth matrix choice for kernel estimate of the first partial derivatives of the unknown density.
Links
LC06024, research and development projectName: Centrum Jaroslava Hájka pro teoretickou a aplikovanou statistiku
Investor: Ministry of Education, Youth and Sports of the CR, Jaroslav Hájek Center for Theoretical and Applied Statistics
PrintDisplayed: 1/8/2024 21:02