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New Information Measures for the Generalized Normal Distribution

open access: yesInformation, 2010
We introduce a three-parameter generalized normal distribution, which belongs to the Kotz type distribution family, to study the generalized entropy type measures of information. For this generalized normal, the Kullback-Leibler information is evaluated,
Christos P. Kitsos, Thomas L. Toulias
doaj   +1 more source

A Characterization of Entropy in Terms of Information Loss

open access: yesEntropy, 2011
There are numerous characterizations of Shannon entropy and Tsallis entropy as measures of information obeying certain properties. Using work by Faddeev and Furuichi, we derive a very simple characterization.
Tom Leinster, John C. Baez, Tobias Fritz
doaj   +1 more source

Expected Shannon Entropy and Shannon Differentiation between Subpopulations for Neutral Genes under the Finite Island Model.

open access: yesPLoS ONE, 2015
Shannon entropy H and related measures are increasingly used in molecular ecology and population genetics because (1) unlike measures based on heterozygosity or allele number, these measures weigh alleles in proportion to their population fraction, thus ...
Anne Chao   +5 more
doaj   +1 more source

Permutation Complexity and Coupling Measures in Hidden Markov Models

open access: yesEntropy, 2013
Recently, the duality between values (words) and orderings (permutations) has been proposed by the authors as a basis to discuss the relationship between information theoretic measures for finite-alphabet stationary stochastic processes and their ...
Taichi Haruna, Kohei Nakajima
doaj   +1 more source

Generalizing Information to the Evolution of Rational Belief

open access: yesEntropy, 2020
Information theory provides a mathematical foundation to measure uncertainty in belief. Belief is represented by a probability distribution that captures our understanding of an outcome’s plausibility.
Jed A. Duersch, Thomas A. Catanach
doaj   +1 more source

Empirical Estimation of Information Measures: A Literature Guide

open access: yesEntropy, 2019
We give a brief survey of the literature on the empirical estimation of entropy, differential entropy, relative entropy, mutual information and related information measures.
Sergio VerdĂș
doaj   +1 more source

Shannon entropy and complexity measures for Bohr Hamiltonian with triaxial nuclei

open access: yesResults in Physics, 2022
The Shannon entropy, disequilibrium, and complexity measures for n=0,1 in position and momentum space are investigated within the framework of Bohr Hamiltonian for triaxial nuclei with Davidson potential. The effect of the angular momentum quantum number
P.O. Amadi   +8 more
doaj   +1 more source

A modified belief entropy in Dempster-Shafer framework. [PDF]

open access: yesPLoS ONE, 2017
How to quantify the uncertain information in the framework of Dempster-Shafer evidence theory is still an open issue. Quite a few uncertainty measures have been proposed in Dempster-Shafer framework, however, the existing studies mainly focus on the mass
Deyun Zhou, Yongchuan Tang, Wen Jiang
doaj   +1 more source

Entropy, information and quantum measurements [PDF]

open access: yesCommunications in Mathematical Physics, 1973
The conditional entropy between two states of a quantum system is shown to be nonincreasing when a complete measurement is performed on the system. The information between two quantum systems is defined and is shown to be bounded above by the logarithmic correlation. This inequality is then applied to the measurement process. The entropy changes in the
openaire   +2 more sources

On computation of information entropy measures for certain fractal molecular architectures

open access: yesFrontiers in Chemistry
Fractal molecular structures constitute a distinct category of systems characterized by self-similarity and hierarchical growth patterns, which can be effectively examined by graph-theoretical methods.
S. Roy   +2 more
doaj   +1 more source

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