2015
DOI: 10.3390/e17085729
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Deformed Algebras and Generalizations of Independence on Deformed Exponential Families

Abstract: A deformed exponential family is a generalization of exponential families. Since the useful classes of power law tailed distributions are described by the deformed exponential families, they are important objects in the theory of complex systems. Though the deformed exponential families are defined by deformed exponential functions, these functions do not satisfy the law of exponents in general. The deformed algebras have been introduced based on the deformed exponential functions. In this paper, after summari… Show more

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Cited by 20 publications
(17 citation statements)
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“…In addition, since the independence of an exponential pdf plays a fundamental role in the equilibrium statistical physics and thermodynamics, it is interesting to further study the generalization of the independence on a deformed pdf [20] based on the results obtained in this study.…”
mentioning
confidence: 89%
“…In addition, since the independence of an exponential pdf plays a fundamental role in the equilibrium statistical physics and thermodynamics, it is interesting to further study the generalization of the independence on a deformed pdf [20] based on the results obtained in this study.…”
mentioning
confidence: 89%
“…In the previous works, the author showed that a deformed score function is unbiased with respect to the escort expectation [8,9]. This implies that a deformed score function is regarded as an estimating function on a deformed exponential family.…”
Section: Introductionmentioning
confidence: 99%
“…However, many results for the q-exponential family can be generalized for the χ-exponential family (cf. [6,8]). We remark that a q-exponential family and a χ-exponential family have further generalizations.…”
Section: Deformed Exponential Familiesmentioning
confidence: 99%
See 1 more Smart Citation
“…Up today, many papers have been written on the foundations and the theoretical consistency of κ-statistical mechanics [31][32][33][34][35][36][37][38][39][40][41][42][43][44][45][46][47][48] (see also [49] and references therein). It has been applied in many research fields, such as statistical physics, thermostatistics, financial physics, social science, statistics and information theory [50][51][52][53][54][55][56][57][58][59][60][61][62][63][64][65].…”
Section: Introductionmentioning
confidence: 99%