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ŠÁCHA, J. KARPÍŠEK, Z. JURÁK, P.
Original Title
Qusi-Norms for Discrete Probability Distribution Estimation
Type
conference paper
Language
English
Original Abstract
This article is focused on theorecical and applicational problems with estimation of a discrete probability distributions from observed data. Theoretical aspects come out from minimizing Hellinger, Shannon and Pearson quasi-norm with given constraints. These quasi-norms are based on term of f-divergence of probability distribution. Some examples of applications are shown.
Keywords
divergence, quasi-norm, discrete probability distribution estimation
Authors
ŠÁCHA, J.; KARPÍŠEK, Z.; JURÁK, P.
RIV year
2007
Released
20. 9. 2007
Publisher
VŠB - Technical University of Ostrava
Location
Ostrava, Czech republic
ISBN
978-80-248-1575-6
Book
Risk, quality and reliability
Edition
1
Edition number
Pages from
179
Pages to
186
Pages count
7
BibTex
@inproceedings{BUT28680, author="Jakub {Šácha} and Zdeněk {Karpíšek} and Petr {Jurák}", title="Qusi-Norms for Discrete Probability Distribution Estimation", booktitle="Risk, quality and reliability", year="2007", series="1", number="1", pages="179--186", publisher="VŠB - Technical University of Ostrava", address="Ostrava, Czech republic", isbn="978-80-248-1575-6" }