Estimating Functions of Probability Distributions from a Finite Set of Samples, Part 1: Bayes Estimators and the Shannon Entropy

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We present estimators for entropy and other functions of a discrete probability distribution when the data is a finite sample drawn from that probability distribution. In particular, for the case when the probability distribution is a joint distribution, we present finite sample estimators for the mutual information, covariance, and chi-squared functions of that probability distribution.
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Cellular Automata and Lattice Gases, Adaptation and Self-Organizing Systems

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http://salesiana.dossiersoluciones.com/handle/123456789/151543

Consulte el texto completo en el siguiente enlace:

https://arxiv.org/abs/comp-gas/9403001
 http://arxiv.org/abs/comp-gas/9403001

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arXiv