Publication result detail

Quasi-norms for Discrete Probability Distribution Estimation

KARPÍŠEK, Z.; JURÁK, P.; SADOVSKÝ, Z.

Original Title

Quasi-norms for Discrete Probability Distribution Estimation

English Title

Quasi-norms for Discrete Probability Distribution Estimation

Type

Paper in proceedings (conference paper)

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.

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

f-divergence, quasi-norm, discrete probability distribution estimation

Key words in English

f-divergence, quasi-norm, discrete probability distribution estimation

Authors

KARPÍŠEK, Z.; JURÁK, P.; SADOVSKÝ, Z.

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

113

Pages to

120

Pages count

8

BibTex

@inproceedings{BUT28941,
  author="Zdeněk {Karpíšek} and Petr {Jurák} 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",
  pages="113--120",
  publisher="Evropský polytechnický institut Kunovice",
  address="Kunovice",
  isbn="80-7314-108-6"
}