Bandwidth matrix selectors for multivariate kernel density estimation

HOROVÁ, Ivanka, Jan KOLÁČEK and Kamila VOPATOVÁ. Bandwidth matrix selectors for multivariate kernel density estimation. In RSS 2012 International Conference Telford, 3-6 September 2012. 2012.

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), Jan KOLÁČEK (203 Czech Republic, belonging to the institution) and Kamila VOPATOVÁ (203 Czech Republic).
• Edition: RSS 2012 International Conference Telford, 3-6 September 2012, 2012.

Other information

• Original language: English
• Type of outcome: Presentations at conferences
• Field of Study: 10103 Statistics and probability
• Country of publisher: United Kingdom of Great Britain and Northern Ireland
• Confidentiality degree: is not subject to a state or trade secret
• RIV identification code: RIV/00216224:14310/12:00064172
• Organization unit: Faculty of Science
• Keywords (in Czech): gradient hustoty;jádro; matice vyhlazovacích parametrů
• Keywords in English: density gradient; kernel; matrix of smoothing parameters
• Tags: International impact, Reviewed

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