Maximum Entropy Principle in statistical inference: case for non-Shannonian entropies
Statistical Mechanics
2019-04-03 v3 Mathematical Physics
math.MP
Abstract
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: -qubit quantum system and strongly interacting nuclear systems.
Keywords
Cite
@article{arxiv.1808.01172,
title = {Maximum Entropy Principle in statistical inference: case for non-Shannonian entropies},
author = {Petr Jizba and Jan Korbel},
journal= {arXiv preprint arXiv:1808.01172},
year = {2019}
}
Comments
to appear in Phys. Rev. Lett., 6 pages, 6 pages of Supplementary material