Some results concerning maximum Rényi entropy distributions
Oliver Johnson, Christophe Vignat (2007)
Annales de l'I.H.P. Probabilités et statistiques
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Oliver Johnson, Christophe Vignat (2007)
Annales de l'I.H.P. Probabilités et statistiques
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Jörg Schmeling (2000)
Colloquium Mathematicae
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For invertible transformations we introduce various notions of topological entropy. For compact invariant sets these notions are all the same and equal the usual topological entropy. We show that for non-invariant sets these notions are different. They can be used to detect the direction in time in which the system evolves to highest complexity.
J. S. Chawla (1977)
Kybernetika
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Harremoës, Peter, Vignat, Christophe (2003)
JIPAM. Journal of Inequalities in Pure & Applied Mathematics [electronic only]
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Chakrabarti, C.G., Chakrabarty, Indranil (2005)
International Journal of Mathematics and Mathematical Sciences
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Giurgescu, Patricia (2000)
International Journal of Mathematics and Mathematical Sciences
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María Dolores Esteban (1997)
Applications of Mathematics
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To study the asymptotic properties of entropy estimates, we use a unified expression, called the -entropy. Asymptotic distributions for these statistics are given in several cases when maximum likelihood estimators are considered, so they can be used to construct confidence intervals and to test statistical hypotheses based on one or more samples. These results can also be applied to multinomial populations.