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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. 65-84Number 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