Combining Information Sources Using Minimum Cross-Entropy Principle

0432024 - ÚTIA 2015 AT eng A - Abstract
Sečkárová, Vladimíra
Combining Information Sources Using Minimum Cross-Entropy Principle.
Book of abstracts of the Second Bayesian Young Statisticians Meeting (BAYSM 2014). Vienna: Vienna University of Economics and Business, 2014. s. 22-22.
[Bayesian Young Statisticians Meeting (BAYSM 2014) /2./. 18.09.2014-19.09.2014, Vienna]
R&D Projects: GA ČR(CZ) 13-13502S
Grant - others:GA UK(CZ) SVV-2014-260105
Institutional support: RVO:67985556
Keywords : minimum cross-entropy principle * Kullback-Leibler divergence
Subject RIV: BD - Theory of Information
http://library.utia.cas.cz/separaty/2014/AS/seckarova-0432024.pdf

Combining information sources, exploited in many areas of mathematics, has been an open problem for decades.
Permanent Link: http://hdl.handle.net/11104/0237648