HASILOVÁ, Kamila, Ivanka HOROVÁ and Jan KOLÁČEK. Bandwidth matrix selectors for multivariate kernel density estimation. In Applied Stochastic Models and Data Analysis (ASMDA2013). 2013.
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Basic information
Original name Bandwidth matrix selectors for multivariate kernel density estimation
Authors HASILOVÁ, Kamila, Ivanka HOROVÁ and Jan KOLÁČEK.
Edition Applied Stochastic Models and Data Analysis (ASMDA2013), 2013.
Other information
Original language English
Type of outcome Presentations at conferences
Field of Study 10101 Pure mathematics
Country of publisher Spain
Confidentiality degree is not subject to a state or trade secret
Organization unit Faculty of Science
Keywords in English kernel density estimation; iterative method; integrated square error
Tags International impact, Reviewed
Changed by Changed by: doc. Mgr. Jan Koláček, Ph.D., učo 19999. Changed: 17/7/2014 15:48.
Abstract
The aim of the contribution is to propose a data-driven method for bandwidth matrix choice for kernel density gradient estimation. Results are implemented in Matlab.
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