The maximum entropy principle for compositional data [PDF]
BMC Bioinformatics, 2022 Background Compositional systems, represented as parts of some whole, are ubiquitous. They encompass the abundances of proteins in a cell, the distribution of organisms in nature, and the stoichiometry of the most basic chemical reactions.
Corey Weistuch +3 more
doaj +5 more sources
Remarks on the Maximum Entropy Principle with Application to the Maximum Entropy Theory of Ecology [PDF]
Entropy, 2017 In the first part of the paper we work out the consequences of the fact that Jaynes’ Maximum Entropy Principle, when translated in mathematical terms, is a constrained extremum problem for an entropy function H ( p ) expressing the uncertainty ...
Marco Favretti
doaj +7 more sources
Calibration Invariance of the MaxEnt Distribution in the Maximum Entropy Principle [PDF]
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 +3 more sources
Beyond Moments: Extending the Maximum Entropy Principle to Feature Distribution Constraints [PDF]
Entropy, 2018 The maximum entropy principle introduced by Jaynes proposes that a data distribution should maximize the entropy subject to constraints imposed by the available knowledge.
Paul M. Baggenstoss
doaj +3 more sources
A Comparison of the Maximum Entropy Principle Across Biological Spatial Scales [PDF]
Entropy, 2019 Despite their differences, biological systems at different spatial scales tend to exhibit common organizational patterns. Unfortunately, these commonalities are often hard to grasp due to the highly specialized nature of modern science and the parcelled ...
Rodrigo Cofré +3 more
doaj +3 more sources
Combining experiments and simulations using the maximum entropy principle. [PDF]
PLoS Computational Biology, 2014 A key component of computational biology is to compare the results of computer modelling with experimental measurements. Despite substantial progress in the models and algorithms used in many areas of computational biology, such comparisons sometimes ...
Wouter Boomsma +2 more
doaj +3 more sources
Weak Scale From the Maximum Entropy Principle [PDF]
Progress of Theoretical and Experimental Physics, 2015 The theory of multiverse and wormholes suggests that the parameters of the Standard Model are fixed in such a way that the radiation of the $S^{3}$ universe at the final stage $S_{rad}$ becomes maximum, which we call the maximum entropy principle ...
Hamada, Yuta +2 more
core +6 more sources
On the Entropy and the Maximum Entropy Principle of Uncertain Variables [PDF]
Entropy, 2023 A new variance formula is developed using the generalized inverse of an increasing function. Based on the variance formula, a new entropy formula for any uncertain variable is provided.
Yujun Liu, Guanzhong Ma
doaj +2 more sources
Generalization of the maximum entropy principle for curved statistical manifolds [PDF]
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 +2 more sources
A Novel Comprehensive Evaluation Method for Estimating the Bank Profile Shape and Dimensions of Stable Channels Using the Maximum Entropy Principle. [PDF]
Entropy (Basel), 2020 This paper presents an extensive and practical study of the estimation of stable channel bank shape and dimensions using the maximum entropy principle.
Bonakdari H +5 more
europepmc +2 more sources