Principle of Maximum Entropy: Bayesian Probability, Axiom, Probability Distribution, Entropy, Information, Statistical Mechanics, Information Theory
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Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In subjectivist probability, the principle of maximum entropy is a postulate which states that, subject to known constraints (called testable information), the probability distribution which best represents the current state of knowledge is the one with largest entropy. Let some testable information about a probability distribution function be given. Consider the set of all trial probability distributions that encode this information. Then, the probability distribution that maximizes the information entropy is the true probability distribution with respect to the testable information prescribed.
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(2)
Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In subjectivist probability, the principle of maximum entropy is a postulate which states that, subject to known constraints (called testable information), the probability distribution which best represents the current state of knowledge is the one with largest entropy. Let some testable information about a probability distribution function be given. Consider the set of all trial probability distributions that encode this information. Then, the probability distribution that maximizes the information entropy is the true probability distribution with respect to the testable information prescribed.
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