On Linear Probabilistic Opinion Pooling Based on Kullback-Leibler Divergence

0448112 20240103210737.320151015235959.9 On Linear Probabilistic Opinion Pooling Based on Kullback-Leibler Divergence 4 s. P cav_un_epca*0447898978-80-245-2102-2Proceedings of the 10th Workshop on Uncertainty Processing WUPES’15231-234PrahaOeconomica2015KratochvílV. linear opinion pooling minimum cross-entropy principle expected Kullback-Leibler divergence cav_un_auth*0263972 Sečkárová Vladimíra Adaptivní systémy Department of Adaptive Systems AS AS UTIA-B Department of Adaptive Systems Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2015/AS/seckarova-0448112.pdf GA13-13502S GA ČR cav_un_auth*0292725 In this contribution we focus on the finite collection of sources, providing their opinions about a hidden (stochastic) phenomenon, that is not directly observable. The assumption on obtaining opinions yields a decision making process commonly referred to as opinion pooling. Due to the complexity of the space of possible decisions we consider the probability distributions over this set rather than single values, exploited before, e.g., in [2]. The final decision (result of pooling) is then a combination of probability distributions provided by sources. cav_un_auth*0319735 WUPES 2015. Workshop on Uncertainty Processing /10./ Monínec 16.09.2015-19.09.2015 CZ 2016 BB 1 PR RVO:67985556 http://hdl.handle.net/11104/0250231 S 2015 cav_un_epca*0447898 Proceedings of the 10th Workshop on Uncertainty Processing WUPES’15 978-80-245-2102-2 231 234 Praha Oeconomica 2015 Kratochvíl V. 340