Quantification of prior information revised

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SYSNO ASEP	0410540
Document Type	J - Journal Article
R&D Document Type	Journal Article
Subsidiary J	Ostatní články
Title	Quantification of prior information revised
Author(s)	Kárný, Miroslav (UTIA-B)_{RID, ORCID} Khailova, Natalia (UTIA-B) Nedoma, Petr (UTIA-B) Böhm, Josef (UTIA-B)
Source Title	International Journal of Adaptive Control and Signal Processing. - : Wiley - ISSN 0890-6327 Roč. 15, č. 1 (2001), s. 65-84
Number of pages	20 s.
Language	eng - English
Country	GB - United Kingdom
Keywords	prior information ; Bayesian estimation ; prior design of adaptive controllers
Subject RIV	BC - Control Systems Theory
R&D Projects	GA102/99/1564 GA ČR - Czech Science Foundation (CSF)
	GA102/99/1292 GA ČR - Czech Science Foundation (CSF)
CEZ	1075907
Annotation	Quantification of prior information about possibly high-dimensional unknown parameters of dynamic probabilistic models is adressed. Their prior probability density function (pdf) is chosen in conjugate form. Individual pieces of information are converted into a common basic of fictious data so that different nature and uncertainty levels are respected.
Workplace	Institute of Information Theory and Automation
Contact	Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.

Number of the records: 1