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Adaptive Applications of Maximum Entropy Principle
International Conference on Advanced Computing and Intelligent Engineering, 2020The probability distribution of a system can be adaptively derived using the maximum entropy principle subject to its information set in terms of probabilistic moments. The obtained probability distribution characterizes the wide range of exponential family of distributions when one maximizes Shannon entropy.
Amit Kumar Singh +3 more
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Principle of maximum entropy and irreversible processes
Physics Reports, 1980Abstract More than twenty years have passed since E.T. Jaynes pioneered the information-theoretic approach to the foundations of statistical mechanics. In the intervening period numerous applications have been worked out and new insights developed into traditional problems.
W. T. Grandy
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Principle of maximum entropy in hydrologic frequency analysis
Journal of Hydrology, 1972Abstract The principle of maximum entropy is used to develop a simplified but meaningful probability distribution of practical value in hydrologic frequency analysis, particularly in the area of scarce hydrologic data. The mean value and the standard deviation (or the coefficient of variation) are the only prior information required for the ...
J. O. Sonuga
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Proposed Principles of Maximum Local Entropy Production
The Journal of Physical Chemistry B, 2012Articles have appeared that rely on the application of some form of "maximum local entropy production principle" (MEPP). This is usually an optimization principle that is supposed to compensate for the lack of structural information and measurements about complex systems, even systems as complex and as little characterized as the whole biosphere or the
John, Ross +2 more
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Entropy estimation using the principle of maximum entropy
2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011In this paper, we present a novel entropy estimator for a given set of samples drawn from an unknown probability density function (PDF). Counter to other entropy estimators, the estimator presented here is parametric. The proposed estimator uses the maximum entropy principle to offer anm-term approximation to the underlying distribution and does not ...
Behrouz Behmardi +2 more
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Analysis of the maximum entropy principle ?debate?
Foundations of Physics, 1978Jaynes's maximum entropy principle (MEP) is analyzed by considering in detail a recent controversy. Emphasis is placed on the inductive logical interpretation of “probability” and the concept of “total knowledge.” The relation of the MEP to relative frequencies is discussed, and a possible realm of its fruitful application is noted.
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The principle of the maximum entropy method
High Pressure Research, 1996Abstract The theoretical background of the maximum entropy method (MEM) when it is applied to restore the electron or nuclear densities from diffraction data is described. In MEM, the concept of “entropy” is introduced to deal with any incompleteness in an observation in a proper way.
Makoto Sakata, Masaki Takata
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Principle of Maximum Entropy and Reduced Dynamics
Journal of Statistical Physics, 2006zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Minimum uncertainty products from the principle of maximum entropy
Physical Review A, 1989Generalisation du principe d'entropie maximum pour obtenir plusieurs extrema possibles du produit d'incertitude correspondant aux produits generalises d'incertitude minimum discutes recemment par Lahiri et Menon. Ces travaux s'appliquent a des etats mixtes et conduisent a un nouveau algorithme de recuit pour obtenir les extrema de la fonctionnelle d ...
, Rajagopal, , Teitler
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