Detail publikace

Quasi-norms and Discrete Probability Distribution Estimations

KARPÍŠEK, Z. JURÁK, P.

Originální název

Quasi-norms and Discrete Probability Distribution Estimations

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

This paper is concerned with searching for the solution of the statistical problem to find discrete probability distribution of a discrete random variable by minimizing Hellinger, Shannon and Pearson quasinorm given constraints. These constraints are chosen in general form using suitable functions regarding to the widest use, but linear in unknown probabilities. Paper is an extension of the theory from previous papers.

Klíčová slova

Shannon quasi-norm, Hellinger quasi-norm, Pearson quasi-norm, f-divergence, discrete probability distribution, Lagrange multipliers, optimization, general conditions

Autoři

KARPÍŠEK, Z.; JURÁK, P.

Rok RIV

2006

Vydáno

31. 5. 2006

Nakladatel

Brno University of Technology

Místo

Brno

ISBN

80-214-3195-4

Kniha

MENDEL 06

Číslo edice

1

Strany od

203

Strany do

208

Strany počet

6

BibTex

@inproceedings{BUT20255,
  author="Zdeněk {Karpíšek} and Petr {Jurák}",
  title="Quasi-norms and Discrete Probability Distribution Estimations",
  booktitle="MENDEL 06",
  year="2006",
  number="1",
  pages="203--208",
  publisher="Brno University of Technology",
  address="Brno",
  isbn="80-214-3195-4"
}