arXiv:1808.01172 [cond-mat.stat-mech]AbstractReferencesReviewsResources
Maximum Entropy Principle in statistical inference: case for non-Shannonian entropies
Published 2018-08-03Version 1
In this letter we show that the Shore--Johnson axioms for Maximum Entropy Principle in statistical estimation theory account for a considerably wider class of entropic functional than previously thought. Apart from a formal side of the proof, we substantiate our point by analyzing the effect of weak correlations and discuss two pertinent examples: $2$-qubit quantum system and strongly interacting nuclear systems.
Comments: 6 pages, 6 pages of Supplementary material
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