Log-concavity and the maximum entropy property of the Poisson distribution
We prove that the Poisson distribution maximises entropy in the class of ultra log-concave distributions, extending a result of Harremoës. The proof uses ideas concerning log-concavity, and a semigroup action involving adding Poisson variables and thinning. We go on to show that the entropy is a concave function along this semigroup.
Year of publication: |
2007
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Authors: | Johnson, Oliver |
Published in: |
Stochastic Processes and their Applications. - Elsevier, ISSN 0304-4149. - Vol. 117.2007, 6, p. 791-802
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Publisher: |
Elsevier |
Keywords: | Log-concavity Maximum entropy Poisson distribution Thinning Ultra log-concavity |
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