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

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dc.creatorWolpert, David H.
dc.creatorWolf, David R.
dc.date1994-03-08
dc.date.accessioned2026-07-07T09:11:03Z
dc.date.available2026-07-07T09:11:03Z
dc.descriptionWe 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.
dc.descriptionuuencoded compressed tarfile, submitted
dc.identifierhttps://arxiv.org/abs/comp-gas/9403001
dc.identifierhttp://arxiv.org/abs/comp-gas/9403001
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/151543
dc.subjectCellular Automata and Lattice Gases
dc.subjectAdaptation and Self-Organizing Systems
dc.titleEstimating Functions of Probability Distributions from a Finite Set of Samples, Part 1: Bayes Estimators and the Shannon Entropy
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