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Imprecise probability through f-probability and its statistical physical implications
- Chung, Won Sang;
- Algin, Abdullah
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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 probability; Imprecise probabilities; Uncertainty measures; Non-extensivity; Deformed calculus; Complex systems; Non-linear dynamics; Q-ANALOG; QUANTUM; ALGEBRA
- 제목
- Imprecise probability through f-probability and its statistical physical implications
- 저자
- Chung, Won Sang; Algin, Abdullah
- 발행일
- 2020-10
- 유형
- Article
- 권
- 139