The principle of maximum entropy states that the probability distribution which best represents the current state of knowledge about a system is the one...

the principle of maximum entropy, if nothing is known about a distribution except that it belongs to a certain class (usually defined in terms of specified...

in Shannon information theory, Bayesian probability, and the principle of maximum entropy. These techniques are relevant to any situation requiring prediction...

state of disorder, randomness, or uncertainty. Maximum entropy thermodynamics Maximum entropy spectral estimation Principle of maximum entropy Maximum entropy...

distribution to represent the sources of uncertainty? One popular method is to make use of the principle of maximum entropy, which states that the distribution...

namely the principle of transformation groups as in the Jeffreys prior, and the principle of maximum entropy. More generally, one speaks of uninformative...

Info-metrics Negentropy (negative entropy) Phase space Principle of maximum entropy Residual entropy Standard molar entropy Thermodynamic potential The overdots...

The principle of maximum caliber (MaxCal) or maximum path entropy principle, suggested by E. T. Jaynes, can be considered as a generalization of the principle...

the principle of maximum entropy or the principle of least action, it is true on mathematical grounds. To attempt to falsify the free energy principle is...

the principle of maximum entropy from discrete to continuous distributions, for which Shannon entropy ceases to be so useful (see differential entropy),...

Maximum entropy spectral estimation is a method of spectral density estimation. The goal is to improve the spectral quality based on the principle of...

system. To restate: The maximum entropy principle: For a closed system with fixed internal energy (i.e. an isolated system), the entropy is maximized at equilibrium...

Maximum-entropy random graph models are random graph models used to study complex networks subject to the principle of maximum entropy under a set of...

accordingly to the principle of maximum entropy, which says that the probability distribution which best represents the current state of knowledge is the...

construction of logical principles for assigning prior probability distributions; see the principle of maximum entropy, the principle of maximum caliber,...

behavior are still debatable. One of the guiding principles for these systems is the principle of maximum entropy production. It states that nonequilibrium...

Jaynes, based mainly on the consequences of symmetries and on the principle of maximum entropy. As an example of an a priori prior, due to Jaynes (2003)...

definition of entropy production, different from Paltridge's, to investigate a more abstract way to check the principle of maximum entropy production...

a heuristic hypothesis. This interpretation allows using the principle of maximum entropy in order to generalize the ansatz to higher-order distribution...

joint entropy Kullback–Leibler divergence lossless compression negentropy noisy-channel coding theorem (Shannon's theorem) principle of maximum entropy quantum...

(physics) Noether's theorem Path integral formulation Principle of least action Principle of maximum entropy Some actions: Nambu–Goto action Polyakov action...

be used to split the nodes of the tree optimally. Bayesian inference models often apply the principle of maximum entropy to obtain prior probability...

conjectures that the maximum entropy in any region scales with the radius squared, rather than cubed as might be expected. In the case of a black hole, the...

concept of entropy. Berthelot independently enunciated a generalization (commonly known as Berthelot's Third Principle, or Principle of Maximum Work),...

claimed to be part of Bayesian statistics is the maximum a posteriori (MAP) estimate of an unknown quantity, that equals the mode of the posterior density...

Likelihood-ratio test Likelihoodist statistics Maximum likelihood estimation Principle of maximum entropy Pseudolikelihood Score (statistics) See Exponential...

evidence. This is the basis for the widely used method of maximum likelihood. The likelihood principle was first identified by that name in print in 1962...

energy principle Inductive probability Information field theory Principle of maximum entropy Probabilistic causation Probabilistic programming "Bayesian"...

Structure Modeling of Multi-Principal-Element Alloys by the Principle of Maximum Entropy". Entropy. 15 (12): 5536–5548. Bibcode:2013Entrp..15.5536W. doi:10...

E.T. Jaynes, 1988, "The evolution of Carnot's principle," in G. J. Erickson and C. R. Smith (eds.)Maximum-Entropy and Bayesian Methods in Science and...