Maximum Entropy
Overview
The maximum entropy principle is a idea used to derive a distribution over events from a set of
measurements. Rather than finding the
maximum likelihood
distribution, it returns the maximum uncertainty distribution consisten with the observations.
The justification for this principle is that an analyst should choose a distribution consistent with
available, but without assuming anything about the information not available.
Topics
