Publication detail

Quasi-norms for Discrete Probability Distribution Estimation

KARPÍŠEK, Z. JURÁK, P. SADOVSKÝ, Z.

Czech title

Kvazinormy pro odhad diskrétního rozdělení pravděpodonbnosti

English title

Quasi-norms for Discrete Probability Distribution Estimation

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.

Czech abstract

Příspěvek se zabývá řešením statistického problému odhadu diskrétního rozdělení pravděpodobnosti z pozorovaných dat minimalizací Hellingerovy, Shannonovy a Pearsonovy kvazinormy.

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.

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

26.01.2007

Publisher

Evropský polytechnický institut Kunovice

Location

Kunovice

ISBN

80-7314-108-6

Book

5th International Conference on Soft Computing Applied in Computer and Economic Environments

Pages from–to

113–120

Pages count

8

BIBTEX


@inproceedings{BUT28941,
  author="Zdeněk {Karpíšek} and Petr {Jurák} and Zdeněk {Sadovský} and Zdeněk {Sadovský},
  title="Quasi-norms for Discrete Probability Distribution Estimation",
  booktitle="5th International Conference on Soft Computing Applied in Computer and Economic Environments",
  year="2007",
  month="January",
  pages="113--120",
  publisher="Evropský polytechnický institut Kunovice",
  address="Kunovice",
  isbn="80-7314-108-6"
}