On maximization of the information divergence from an exponential family.

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F03%3A16030124" target="_blank" >RIV/67985556:_____/03:16030124 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
On maximization of the information divergence from an exponential family.
Original language description
The information divergence of a probability measure P from an exponential family E over a finite set is defined as infimum of the divergences of P from Q subject to Q in E. For convex exponential families the local maximizers of this function of P are found. General exponential family E of dimension d is enlarged to an exponential family E* of the dimension at most 3d+2 such that the local maximizers are of zero divergence from E*.
Czech name
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Czech description
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year
2003
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 6th Workshop on Uncertainty Processing.
ISBN
80-245-0546-0
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
199-204
Publisher name
University of Economics
Place of publication
Prague
Event location
Hejnice [CZ]
Event date
Sep 24, 2003
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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