The motivation is twofold: first, maximizing entropy minimizes the amount of prior information built into the distribution second, many physical systems tend to move towards maximal entropy configurations over time. maximum entropy formalism, stressing its consistency and inter- derivability with the other principles of probability theory. According to 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 properties or measures), then the distribution with the largest entropy should be chosen as the least-informative default. (This is equivalent to an alternate definition for the term entropy as a measure of the disorder of a system, such that a completely random dispersion of elements corresponds to maximum entropy, or minimum information. memspectrum is a package for the computation of power spectral densitiy (PSD) of time series. In statistics and information theory, a maximum entropy probability distribution has entropy that is at least as great as that of all other members of a specified class of probability distributions. MAXIMUM ENTROPY SPECTRAL ANALYSIS FOR ACCURATE PSD COMPUTATION. ( Learn how and when to remove this template message) ( December 2013) ( Learn how and when to remove this template message) Please help to improve this article by introducing more precise citations. This article includes a list of general references, but it lacks sufficient corresponding inline citations. The principle of maximum entropy, as introduced by Jaynes in information theory, has contributed to advancements in various domains such as Statistical Mechanics, Machine Learning, and Ecology.
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