Divergence and deformed exponential family

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Authors: Hiroshi Matsuzoe, Asuka Takatsu
Cited by: 0
References: 8

Abstract

The Kullback--Leibler divergence together with exponential families establishes the foundation of information geometry and is widely generalized. Among the generalization, we focus on the $(h,τ)$-divergence and $(h,τ)$-exponential families. We present a sufficient condition for the $(h,τ)$-divergence to induce a Hessian structure on an $(h,τ)$-exponential family. We also define the $(h,τ)$-dependence of random variables and prove a kind of the law of large numbers.

Fields of Study & Subjects

Statistical Mechanics and Entropy Mathematical Inequalities and Applications Wireless Communication Security Techniques

Publication details

Journal / source
Journal of Mathematical Analysis and Applications
Volume
567
Issue
1
Pages
131088–131088
Publication date
23 September 2026
Language
EN