Quantification of prior information revised

0410540 20240103182221.220060210235959.9 Quantification of prior information revised 20 s. cav_un_epca*02567720890-6327International Journal of Adaptive Control and Signal Processing151 (2001)65-84Wiley prior information Bayesian estimation prior design of adaptive controllers cav_un_auth*0101124 Kárný Miroslav UTIA-B Department of Adaptive Systems Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101126 Khailova Natalia UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101168 Nedoma Petr UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101070 Böhm Josef UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/prace/20010009.ps 12B 09I GA102/99/1564 GA ČR cav_un_auth*0004444 GA102/99/1292 GA ČR cav_un_auth*0004437 1999/12058 IST XE AV0Z1075907 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. BC AS http://hdl.handle.net/11104/0130629 UTIA-B 20010009 2001 cav_un_epca*0256772 International Journal of Adaptive Control and Signal Processing 0890-6327 1099-1115 Roč. 15 č. 1 2001 65 84 Wiley