Generalization of Entropy Based Divergence Measures for Symbolic Sequence Analysis
- Ré, Miguel A.
- Azad, Rajeev K.
DOIAbstract
Article on the generalization of entropy based divergence measures for symbolic sequence analysis
Article on the generalization of entropy based divergence measures for symbolic sequence analysis
We address this work to investigate symbolic sequences with long-range correlations by using computa...
Article discussing a method of statistical analysis based on the Shannon entropy of the diffusion pr...
International audienceSeveral quantifiers of information, also known as entropies, have been introdu...
Entropy based measures have been frequently used in symbolic sequence analysis. A symmetrized and sm...
<div><p>Entropy based measures have been frequently used in symbolic sequence analysis. A symmetrize...
We study statistical properties of the Jensen-Shannon divergence D, which quantifies the difference ...
International audienceBased on rescaling by some suitable sequence instead of the number of time uni...
In a recent paper, we discussed normalized measures of entropy,13 i.e. measures of entropy all of wh...
We provide a unifying axiomatics for R,enyi’s entropy and non-extensive entropy of Tsallis. It is sh...
Shannon's entropy was characterized by many authors by assuming different sets of postulates. One ot...
We introduce novel information-entropic variables—a Point Divergence Gain ( Ω α ( l → m ) ),...
Article on Lévy scaling and the diffusion entropy analysis applied to DNA sequences. The authors add...
The concept of symbolic dynamics, entropy and complexity measures has been widely utilized for the ...
This editorial explains the scope of the special issue and provides a thematic introduction to the c...
<p>The deformed logarithm formalism allows presenting all orders of entropy as a generalization of S...
We address this work to investigate symbolic sequences with long-range correlations by using computa...
Article discussing a method of statistical analysis based on the Shannon entropy of the diffusion pr...
International audienceSeveral quantifiers of information, also known as entropies, have been introdu...
Entropy based measures have been frequently used in symbolic sequence analysis. A symmetrized and sm...
<div><p>Entropy based measures have been frequently used in symbolic sequence analysis. A symmetrize...
We study statistical properties of the Jensen-Shannon divergence D, which quantifies the difference ...
International audienceBased on rescaling by some suitable sequence instead of the number of time uni...
In a recent paper, we discussed normalized measures of entropy,13 i.e. measures of entropy all of wh...
We provide a unifying axiomatics for R,enyi’s entropy and non-extensive entropy of Tsallis. It is sh...
Shannon's entropy was characterized by many authors by assuming different sets of postulates. One ot...
We introduce novel information-entropic variables—a Point Divergence Gain ( Ω α ( l → m ) ),...
Article on Lévy scaling and the diffusion entropy analysis applied to DNA sequences. The authors add...
The concept of symbolic dynamics, entropy and complexity measures has been widely utilized for the ...
This editorial explains the scope of the special issue and provides a thematic introduction to the c...
<p>The deformed logarithm formalism allows presenting all orders of entropy as a generalization of S...
We address this work to investigate symbolic sequences with long-range correlations by using computa...
Article discussing a method of statistical analysis based on the Shannon entropy of the diffusion pr...
International audienceSeveral quantifiers of information, also known as entropies, have been introdu...
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