0438275 20240103205422.820150107235959.9 84920065538 000348624200008 10.4310/SII.2014.v7.n4.a7 13 s. P cav_un_epca*03626031938-798974 (2014)503-515 Bayesian estimation knowledge elicitation just-in-time modelling controlled autoregressive model cav_un_auth*0101124 Kárný Miroslav Adaptivní systémy Department of Adaptive Systems AS AS UTIA-B Department of Adaptive Systems 20 Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101092 Guy Tatiana Valentine Adaptivní systémy Department of Adaptive Systems AS AS UTIA-B Department of Adaptive Systems 20 Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0312291 Kracík J. CZ 20 cav_un_auth*0101168 Nedoma Petr Adaptivní systémy Department of Adaptive Systems AS AS UTIA-B 20 Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0205835 Bodini A. IT 10 cav_un_auth*0205836 Ruggeri F. IT 10 http://library.utia.cas.cz/separaty/2014/AS/karny-0438275.pdf GA13-13502S GA ČR cav_un_auth*0292725 An exploitation of prior knowledge in parameter estimation becomes vital whenever measured data is not informative enough. Elicitation of quantified prior knowledge is a well-elaborated art in societal and medical applications but not in the engineering ones. Frequently required involvement of a facilitator is mostly unrealistic due to either facilitator’s high costs or complexity of modelled relationships that cannot be grasped by humans. This paper provides a facilitator-free approach based on an advanced knowledgesharing methodology. It presents the approach on commonly available types of knowledge and applies the methodology to a normal controlled autoregressive model. 2015 BB 6 4 A 4a 20231122140733.1 RVO:67985556 http://hdl.handle.net/11104/0242028 cav_un_auth*0312054 VSB Technical University Ostrava CZ cav_un_auth*0312055 IMATI Istituto di Matematica Applicata e Tecnologie Informatiche IT S MATHEMATICALCOMPUTATIONALBIOLOGY|MATHEMATICSINTERDISCIPLINARYAPPLICATIONS 1.057 0.478 Q3 74.395 90.271 Q2 Q3 2014 Soubory v repozitáři: karny-0438275.pdf 84920065538 SCOPUS 000348624200008 WOS cav_un_epca*0362603 Statistics and its Interface 1938-7989 1938-7997 Roč. 7 č. 4 2014 503 515