About: Principle of maximum entropy

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The principle of maximum entropy states that the probability distribution which best represents the current state of knowledge about a system is the one with largest entropy, in the context of precisely stated prior data (such as a proposition that expresses ). Another way of stating this: Take precisely stated prior data or testable information about a probability distribution function. Consider the set of all trial probability distributions that would encode the prior data. According to this principle, the distribution with maximal information entropy is the best choice.

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rdf:type	Thing
rdfs:label	Principle of maximum entropy (en)
rdfs:comment	The principle of maximum entropy states that the probability distribution which best represents the current state of knowledge about a system is the one with largest entropy, in the context of precisely stated prior data (such as a proposition that expresses ). Another way of stating this: Take precisely stated prior data or testable information about a probability distribution function. Consider the set of all trial probability distributions that would encode the prior data. According to this principle, the distribution with maximal information entropy is the best choice. (en)
sameAs	Principle of maximum entropy Principle of maximum entropy
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Subject	Bayesian statistics Entropy and information Statistical principles Mathematical principles Probability assessment
prov:wasDerivedFrom	http://en.wikipedia.org/wiki/Principle_of_maximum_entropy?oldid=1070264697&ns=0
Wikipage page ID	201718 (xsd:integer)
page length (characters) of wiki page	31238 (xsd:nonNegativeInteger)
Wikipage revision ID	1070264697 (xsd:integer)
has abstract	The principle of maximum entropy states that the probability distribution which best represents the current state of knowledge about a system is the one with largest entropy, in the context of precisely stated prior data (such as a proposition that expresses ). Another way of stating this: Take precisely stated prior data or testable information about a probability distribution function. Consider the set of all trial probability distributions that would encode the prior data. According to this principle, the distribution with maximal information entropy is the best choice. Since the distribution with the maximum entropy is the one that makes the fewest assumptions about the true distribution of data, the principle of maximum entropy can be seen as an application of Occam's razor. (en)
foaf:isPrimaryTopicOf	http://en.wikipedia.org/wiki/Principle_of_maximum_entropy
is Wikipage redirect of	Jaynes' principle Principle of Maximum Entropy Entropy maximization Entropy maximization principle All-poles model MaxEnt Maximum Entropy Maximum entropy method Maximum entropy model Maximum entropy principle MAXENT Testable information
is Link from a Wikipage to another Wikipage of	List of statistics articles Normal distribution Jaynes' principle Action (physics) Akaike information criterion Aleksandr Gorban Algebraic statistics Anderson localization Aperture synthesis Approximate Bayesian computation Athanasios Papoulis Automated reasoning Bayesian network Bayesian probability Boltzmann distribution Boosting (machine learning) Catalog of articles in probability theory Free energy principle Generalized Lotka–Volterra equation Gibbs algorithm Direct coupling analysis Dissipation Divergence (statistics) Doppler imaging Kullback–Leibler divergence Named-entity recognition Narendra Kumar (physicist) Black–Scholes model Kinetic exchange models of markets List of numerical analysis topics List of probability topics Convex optimization Cost–benefit analysis Dynamic light scattering Edwin Thompson Jaynes History of statistics Minimum Fisher information Energy Ensemble (mathematical physics) Entropy Entropy (information theory) Entropy and life Entropy in thermodynamics and information theory Entropy maximization Independent component analysis Index of physics articles (J) Index of physics articles (P) Exponential family Feature selection Info-metrics Information extraction Lagrange multiplier Molecular chaos Entropy maximization principle Ising model Index of information theory articles All-poles model Land use regression model

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