Original title: On Linear Probabilistic Opinion Pooling Based on Kullback-Leibler Divergence
Authors: Sečkárová, Vladimíra
Document type: Papers
Conference/Event: WUPES 2015. Workshop on Uncertainty Processing /10./, Monínec (CZ), 2015-09-16 / 2015-09-19
Year: 2015
Language: eng
Abstract: 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.
Keywords: expected Kullback-Leibler divergence; linear opinion pooling; minimum cross-entropy principle
Project no.: GA13-13502S (CEP)
Funding provider: GA ČR
Host item entry: Proceedings of the 10th Workshop on Uncertainty Processing WUPES’15, ISBN 978-80-245-2102-2

Institution: Institute of Information Theory and Automation AS ČR (web)
Document availability information: Fulltext is available at external website.
External URL: http://library.utia.cas.cz/separaty/2015/AS/seckarova-0448112.pdf
Original record: http://hdl.handle.net/11104/0250231

Permalink: http://www.nusl.cz/ntk/nusl-200712


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