Bounds on the information divergence for hypergeometric distributions.

Autor:	Harremoës, Peter
Další autoři:	Matúš, František
Jazyk:	angličtina
Předmět:	nerovnosti (matematika) binomické rozložení inequalities (mathematics) binomial distribution články journal articles information divergence hypergeometric distribution
Druh dokumentu:	Non-fiction
ISSN:	0023-5954
Abstrakt:	Abstract: The hypergeometric distributions have many important applications, but they have not had sufficient attention in information theory. Hypergeometric distributions can be approximated by binomial distributions or Poisson distributions. In this paper we present upper and lower bounds on information divergence. These bounds are important for statistical testing and for a better understanding of the notion of exchangeability.
Databáze:	Katalog Knihovny AV ČR
Externí odkaz:	Plný text Plný text