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Estimation of State Probabilities Using the Maximum Entropy Principle
IBM Journal of Research and Development, 1980A simple method is derived for computing state probabilities of a system when the probabilities of certain aggregate states are known. The method is based on maximizing the system entropy. It is shown that the results obtained by the method satisfy certain assumptions on statistical independence between events.
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The principle of maximum entropy
Abstract Shannon quantifies the information-carrying capacity of a channel. He connects this with the probabilities of the next letter being a or b, … and shows that Gibbs’s entropy of this probability distribution is the correct measure of the channel’s capacity.openaire +1 more source
Analysis of Stochastic Systems Via Maximum Entropy Principle
1992The principle of maximum entropy introduced first in statistical physics and successfully applied in other fields (statistics, reliability theory, simulation etc.) has recently been developed to analyze the systems governed by stochastic differential equations (cf.[2],[3]). In this paper we extend the maximum entropy methodology to stochastic vibratory
K. Sobczyk, J. Trebicki
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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 ...
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Generalized Principle of Maximum Entropy and Irreversible Processes
Journal of the Physical Society of Japan, 1995We investigate another possibility of developing a statistical theory in extended irreversible thermodynamics (EIT). Generalizing the principle of maximum entropy, we derive the time evolution equations of the dissipative fluxes which are second order differential equations in a scaled time.
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Implications of the entropy maximum principle
American Journal of Physics, 1988E. Kazes, P. H. Cutler
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