Maximum Entropy Principle in Statistical Inference: Case for Non-Shannonian Entropies

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F19%3A00331062" target="_blank" >RIV/68407700:21340/19:00331062 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1103/PhysRevLett.122.120601" target="_blank" >https://doi.org/10.1103/PhysRevLett.122.120601</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1103/PhysRevLett.122.120601" target="_blank" >10.1103/PhysRevLett.122.120601</a>

Result language
angličtina
Original language name
Maximum Entropy Principle in Statistical Inference: Case for Non-Shannonian Entropies
Original language description
In this Letter, we show that the Shore-Johnson axioms for the 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 where a one-parameter class of admissible entropies is identified, we substantiate our point by analyzing the effect of weak correlations and by discussing two pertinent examples: two-qubit quantum system and transverse-momentum behavior of hadrons in high-energy proton-proton collisions.
Czech name
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Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
10300 - Physical sciences

Project
<a href="/en/project/GF17-33812L" target="_blank" >GF17-33812L: An information-theoretical perspective on complex systems</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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