Geodesic
Bounds on the information divergence for hypergeometric distributions
Kybernetika, Tome 56 (2020) no. 6, pp. 1111-1132.

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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.
DOI : 10.14736/kyb-2020-6-1111
Classification : 62E17, 94A17
Keywords: binomial distribution; hypergeometric distribution; information divergence; inequalities 
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Harremoës, Peter; Matúš, František. Bounds on the information divergence for hypergeometric distributions. Kybernetika, Tome 56 (2020) no. 6, pp. 1111-1132. doi : 10.14736/kyb-2020-6-1111. http://geodesic.mathdoc.fr/articles/10.14736/kyb-2020-6-1111/

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