Imprecise probability through f-probability and its statistical physical implications

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초록

In this work, we present an approach to describe imprecise probability through an effective probability theory, called the f-probability. We develop a bijective and monotonous map from the precise probability in order to construct the f-probability theory based on the f -addition, f-subtraction, f-multiplication and f-division. We apply the f-probability to the Bernoulli trial and derive the f-binomial distribution. Finally, we obtain the non-extensive entropy through the f-probability theory, and give its statistical physical implications on several areas of potential applications. PACS number(s): 02.50.Cw, 05.20.-y; 05.90.+m (C) 2020 Elsevier Ltd. All rights reserved.

키워드

Foundations of probabilityImprecise probabilitiesUncertainty measuresNon-extensivityDeformed calculusComplex systemsNon-linear dynamicsQ-ANALOGQUANTUMALGEBRA
제목
Imprecise probability through f-probability and its statistical physical implications
저자
Chung, Won SangAlgin, Abdullah
DOI
10.1016/j.chaos.2020.110020
발행일
2020-10
유형
Article
저널명
Chaos, Solitons and Fractals
139