Weighted Probabilistic Opinion Pooling Based on Cross-Entropy
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F15%3A00450905" target="_blank" >RIV/67985556:_____/15:00450905 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-26535-3" target="_blank" >http://dx.doi.org/10.1007/978-3-319-26535-3</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-26535-3" target="_blank" >10.1007/978-3-319-26535-3</a>
Alternative languages
Result language
angličtina
Original language name
Weighted Probabilistic Opinion Pooling Based on Cross-Entropy
Original language description
In this work we focus on opinion pooling in the finite group of sources introduced in [Seckarova, 2015]. This approach, heavily exploiting Kullback-Leibler divergence (also known as cross-entropy), allows us to combine sources? opinions given in probabilistic form, i.e. represented by the probability mass function (pmf). However, this approach assumes that sources are equally reliable with no preferences on, e.g., importance of a particular source. The discussion about the influence of the combination by preferences among sources (represented by weights) and numerical demonstration of the derived theory on an illustrative example form the core of this contribution.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BC - Theory and management systems
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA13-13502S" target="_blank" >GA13-13502S: Fully Probabilistic Design of Dynamic Decision Strategies for Imperfect Participants in Market Scenarios</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Neural Information Processing
ISBN
978-3-319-26534-6
ISSN
0302-9743
e-ISSN
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Number of pages
7
Pages from-to
623-629
Publisher name
Springer International Publishing
Place of publication
Cham
Event location
Istanbul
Event date
Nov 9, 2015
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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