Entropy, Volume 19, Issue 12
2017 December - 67 articles
Cover Story: The combined application of the Bayesian Model Selection and Maximum Entropy sharply differentiates between irrelevant and relevant observables and identifies models that subsume falsifiable predictions on how the former “depend” on the latter. This makes it possible to deduce, in an unbiased manner, what type of interactions (e.g., pairwise) better describe the statistical dependencies between variables in a dataset. For example, pairwise (red) and four body interactions (green) turn out to be relevant to describe the voting behavior of the US Supreme Court. View Paper here. - Issues are regarded as officially published after their release is announced to the table of contents alert mailing list .
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