Number of the records: 1
On divergence of finite measures and their applicability in statistics and information theory
- 1.
SYSNO ASEP 0329681 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title On divergence of finite measures and their applicability in statistics and information theory Title O divergencích konečných měr a jejich využití ve statistice a teorii informace Author(s) Vajda, Igor (UTIA-B)
Stummer, W. (DE)Source Title Statistics - ISSN 0233-1888
Roč. 44, č. 2 (2009), s. 169-187Number of pages 19 s. Publication form www - www Language eng - English Country GB - United Kingdom Keywords Local and global divergences of finite measures ; Divergences of sigma-finite measures ; Statistical censoring ; Pinsker's inequality, Ornstein's distance ; Differential power entropies Subject RIV BD - Theory of Information R&D Projects 1M0572 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) GA102/07/1131 GA ČR - Czech Science Foundation (CSF) CEZ AV0Z10750506 - UTIA-B (2005-2011) UT WOS 000277727000006 DOI 10.1080/02331880902986919 Annotation Family of divergences of finite and sigma-finite measures is introduced. Range of values, symmetry and decomposition into local and global components are obtained. Censoring is used to illustrate applications in statistics. Pinsker's inequality and Ornstein's distance of stationary random processes are among the applications in information theory. Workplace Institute of Information Theory and Automation Contact Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Year of Publishing 2010
Number of the records: 1