Investigation on the high-order approximation of the entropy bias

Antônio M.T. Ramos, Helder L. Casagrande and Elbert E.N. Macau

Physica A: Statistical Mechanics and its Applications, 2020, vol. 549, issue C

Abstract: The estimation of entropy from experimental data has a considerable bias when the discretization of the variable domain is comparable to the sample size. In this case, the source of the bias is the difference between the a priori distribution and the observed distribution from sampled data.

Keywords: Entropy bias; Mutual information; Multiple comparison analysis; Complex network (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:549:y:2020:i:c:s037843712030090x

DOI: 10.1016/j.physa.2020.124301

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