Publication detail
Divergences for Discrete Probability Distribution Estimations
KARPÍŠEK, Z. JURÁK, P. ŠÁCHA, J.
Czech title
Divergence pro odhady diskrétních rozdělení pravděpodobnosti
English title
Divergences for Discrete Probability Distribution Estimations
Type
conference paper
Language
en
Original abstract
The paper is concerned with searching for the solution of the statistical problem discrete probability distribution estimation from observed data by minimizing Hellinger, Shannon, and Pearson quasi-norm with given constraints.
Czech abstract
Příspěvek se zabývá řešením statistického problému odhadu diskrétního rozdělení pravděpodobnosti z pozorovaných dat minimalizací Hellingerovy, Shannonovy a Pearsonovy kvazinormy s danými omezeními.
English abstract
The paper is concerned with searching for the solution of the statistical problem discrete probability distribution estimation from observed data by minimizing Hellinger, Shannon, and Pearson quasi-norm with given constraints.
Keywords in Czech
f-divergence, kvazinorma, odhad diskrétního rozdělení pravděpodobnosti
Keywords in English
f-divergence, quasi-norm, discrete probability distribution estimation
RIV year
2007
Released
31.12.2007
Publisher
Masaryk University Brno
Location
Brno
ISBN
978-80-210-4493-7
Book
Proceedings of Summer School DATASTAT 2006
Pages from–to
109–120
Pages count
12
BIBTEX
@inproceedings{BUT28940,
author="Zdeněk {Karpíšek} and Petr {Jurák} and Jakub {Šácha},
title="Divergences for Discrete Probability Distribution Estimations",
booktitle="Proceedings of Summer School DATASTAT 2006",
year="2007",
month="December",
pages="109--120",
publisher="Masaryk University Brno",
address="Brno",
isbn="978-80-210-4493-7"
}