0030507 20240111140634.520060201235959.9 4 s. CD-ROM cav_un_epca*0076427961-6303-74-01-4LjubljanaJozef Stefan Insitute2005TintaD.BenkoU. Bayesian estimation multiple participant decision making expert information cav_un_auth*0101138 Kracík Jan UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. 100 kB 12B 1ET100750401 GA AV ČR CZ cav_un_auth*0001792 1ET100750404 GA AV ČR CZ cav_un_auth*0001793 IBS1075351 GA AV ČR CZ cav_un_auth*0001804 1M0572 GA MŠk CZ cav_un_auth*0001814 8-2006-06 GA MŠk CZ cav_un_auth*0205738 GA102/03/0049 GA ČR CZ cav_un_auth*0001805 CEZ:AV0Z10750506 In Bayesian statistics an expert information is typically represented by a prior probability density function of a parameter. However, often an expert is able to provide an information in from of probability distribution of data only. In this paper we propose a method for utilization of an expert information of this type. Bayesovská statistika representuje obvykle expertní informaci pomocí apriorní distribuce odhadovaného parametru. Expert je však často schopen poskytnout pouze informaci ve formě distribuce dat svázaných s odhadovaným parametrem. V článku je navržen postup využití informace tohoto typu. cav_un_auth*0213261 International PhD Workshop on Systems and Control a Young Generation Viewpoint /6./ Izola 04.10.2005-08.10.2005 SI 2007 BB http://hdl.handle.net/11104/0120244 2005 100 kB cav_un_epca*0076427 Proceedings of the 6th International PhD Workshop on Systems and Control, Young Generation Viewpoint 961-6303-74-0 1 4 Ljubljana Jozef Stefan Insitute 2005 Tinta D. 340 Benko U. 340