Detail publikace

Quasi-norms and Discrete Probability Distribution Estimations

KARPÍŠEK, Z. JURÁK, P.

Anglický název

Quasi-norms and Discrete Probability Distribution Estimations

Typ

Stať ve sborníku v databázi WoS či Scopus

Jazyk

en

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 anglicky

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

Vydáno

2006-05-31

Nakladatel

Brno University of Technology

Místo

Brno

ISBN

80-214-3195-4

Kniha

MENDEL 06

Strany od–do

203–208

Počet stran

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"
}