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9: Principle of Maximum Entropy

  • Page ID
    50209
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    Section 8.2 presented the technique of estimating input probabilities of a process that are unbiased but consistent with known constraints expressed in terms of averages, or expected values, of one or more quantities. This technique, the Principle of Maximum Entropy, was developed there for the simple case of one constraint and three input events, in which case the technique can be carried out analytically. It is described here for the more general case.


    This page titled 9: Principle of Maximum Entropy is shared under a CC BY-NC-SA 4.0 license and was authored, remixed, and/or curated by Paul Penfield, Jr. (MIT OpenCourseWare) via source content that was edited to the style and standards of the LibreTexts platform; a detailed edit history is available upon request.