Publication detail
Discrete Probability Distribution Estimation by Means of Quasi-norms
KARPÍŠEK, Z. ŠÁCHA, J. JURÁK, P.
Czech title
Odhady diskrétních rozdělení pravděpodobnosti pomocí kvazinorem
English title
Discrete Probability Distribution Estimation by Means of Quasi-norms
Type
conference paper
Language
en
Original abstract
The paper is focused on estimation of discrete probability distributions from observed data. Theoretical aspects go out of minimizing Hellinger, Shannon and Pearson quasi-norm with given moment constraints.
Czech abstract
Příspěvek je zaměřen na odhady diskrétních rozdělení pravděpodobnosti z pozorovaných dat. Teoretické aspekty vycházejí z minimalizace Hellingerovy, Shannonovy a Pearsonovy kvazinormy za daných momentových podmínek.
English abstract
The paper is focused on estimation of discrete probability distributions from observed data. Theoretical aspects go out of minimizing Hellinger, Shannon and Pearson quasi-norm with given moment constraints.
Keywords in Czech
odhad; diskrétní rozdělení pravděpodobnosti; minimalizace; kvazinorma; momentové podmínky
Keywords in English
estimation; discrete probability distributions; minimizing; quasi-norm; moment constraints
RIV year
2007
Released
01.09.2007
Publisher
VUT Brno
Location
Brno
ISBN
978-80-214-3474-5
Book
Stoptima - Mozaic 2007
Edition number
1
Pages from–to
65–74
Pages count
10
BIBTEX
@inproceedings{BUT25787,
author="Zdeněk {Karpíšek} and Jakub {Šácha} and Petr {Jurák},
title="Discrete Probability Distribution Estimation by Means of Quasi-norms",
booktitle="Stoptima - Mozaic 2007",
year="2007",
month="September",
pages="65--74",
publisher="VUT Brno",
address="Brno",
isbn="978-80-214-3474-5"
}