0359399 20240103195147.320110510235959.9 000291137100001 79955569018 10.1016/j.ijar.2011.01.002 13 s. cav_un_epca*02567740888-613X526 (2011)659-671Elsevier combining probabilities Kullback-Leibler divergence maximum likelihood expert opinions linear opinion pool cav_un_auth*0101138 Kracík Jan Adaptivní systémy Department of Adaptive Systems AS AS UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2011/AS/kracik-0359399.pdf GA102/08/0567 GA ČR cav_un_auth*0239566 CEZ:AV0Z10750506 The paper deals with the problem of combining marginal probability distributions as a means for aggregating pieces of expert information. The combined distribution is searched as a minimizer of a weighted sum of Kullback–Leibler divergences of the given marginal distributions and corresponding marginals of the searched one. Necessary and sufficient conditions for a distribution to be a minimizer are stated. For discrete random variables an iterative algorithm for approximate solution of the minimization problem is proposed and its convergence is proved. 2012 BB 4 A 4a 20231122134537.2 http://hdl.handle.net/11104/0197196 COMPUTERSCIENCEARTIFICIALINTELLIGENCE 2.155 0.293 4.7 0.00594 0.759 1638 92 1.703 Q1 70.492 76.126 Q2 Q1* 2011 Soubory v repozitáři: kracik-0359399.pdf 79955569018 SCOPUS 000291137100001 WOS cav_un_epca*0256774 International Journal of Approximate Reasoning 0888-613X 1873-4731 Roč. 52 č. 6 2011 659 671 Elsevier