The Thermodynamics of Network Coding, and an Algorithmic Refinement of the Principle of Maximum Entropy. [PDF]
Entropy (Basel), 2019 The principle of maximum entropy (Maxent) is often used to obtain prior probability distributions as a method to obtain a Gibbs measure under some restriction giving the probability that a system will be in a certain state compared to the rest of the ...
Zenil H, Kiani NA, Tegnér J.
europepmc +3 more sources
An Effective Approach for Reliability-Based Sensitivity Analysis with the Principle of Maximum Entropy and Fractional Moments. [PDF]
Entropy (Basel), 2019 The reliability-based sensitivity analysis requires to recursively evaluate a multivariate structural model for many failure probability levels. This is in general a computationally intensive task due to irregular integrations used to define the ...
Zhang X, Liu J, Yan Y, Pandey M.
europepmc +2 more sources
Self-assembled wiggling nano-structures and the principle of maximum entropy production. [PDF]
Sci Rep, 2015 While behavior of equilibrium systems is well understood, evolution of nonequilibrium ones is much less clear. Yet, many researches have suggested that the principle of the maximum entropy production is of key importance in complex systems away from ...
Belkin A, Hubler A, Bezryadin A.
europepmc +2 more sources
Modeling Purposeful Adaptive Behavior with the Principle of Maximum Causal Entropy
, 2010 J. Andrew Bagnell
openalex +3 more sources
Estimation of Kumaraswamy Distribution Parameters Using the Principle of Maximum Entropy
Journal of Statistics Applications & Probability, 2023 : This paper proposes using maximum entropy approach to estimate the parameters of the Kumaraswamy distribution subject to moment constraints. Kumaraswamy [7] introduced the double pounded probability density function which was originally used to model ...
M. R. Mahmoud, A. M. Saad
semanticscholar +1 more source
Generalization of the maximum entropy principle for curved statistical manifolds
Physical Review Research, 2021 The maximum entropy principle (MEP) is one of the most prominent methods to investigate and model complex systems. Despite its popularity, the standard form of the MEP can only generate Boltzmann-Gibbs distributions, which are ill-suited for many ...
Pablo A. Morales, Fernando E. Rosas
doaj +1 more source
Entropy, 2021 While entropy was introduced in the second half of the 19th century in the international vocabulary as a scientific term, in the 20th century it became common in colloquial use.
Demetris Koutsoyiannis +1 more
doaj +1 more source
The luminosity function of quasars by the Principle of Maximum Entropy [PDF]
Monthly notices of the Royal Astronomical Society, 2019 We propose a different way to obtain the distribution of the luminosity function of quasars by using the Principle of Maximum Entropy. The input data come from Richard et al 2006 quasar counts, extending up to redshift 5 and limited from apparent ...
A. Andrei +3 more
semanticscholar +1 more source
Calibration Invariance of the MaxEnt Distribution in the Maximum Entropy Principle
Entropy, 2021 The maximum entropy principle consists of two steps: The first step is to find the distribution which maximizes entropy under given constraints. The second step is to calculate the corresponding thermodynamic quantities.
Jan Korbel
doaj +1 more source
Maximum entropy principle based estimation of performance distribution in queueing theory. [PDF]
PLoS ONE, 2014 In related research on queuing systems, in order to determine the system state, there is a widespread practice to assume that the system is stable and that distributions of the customer arrival ratio and service ratio are known information. In this study,
Dayi He, Ran Li, Qi Huang, Ping Lei
doaj +1 more source