On some interrelations of generalized $q$-entropies and a generalized Fisher information, including a Cram\'er-Rao inequality
Jean-Fran\c{c}ois Bercher (LIGM)

TL;DR
This paper explores the relationship between generalized $q$-entropies and a generalized Fisher information, extending the de Bruijn identity, deriving a new Cramér-Rao inequality, and showing that generalized $q$-Gaussians optimize these measures.
Contribution
It introduces a generalized Fisher information, extends the de Bruijn identity, and derives a new Cramér-Rao inequality involving $q$-entropies and $q$-Gaussians.
Findings
Generalized Fisher information extends classical Fisher information.
A new Cramér-Rao inequality involving generalized Fisher information is derived.
Generalized $q$-Gaussians minimize the generalized Fisher information for fixed $q$-entropy.
Abstract
In this communication, we describe some interrelations between generalized -entropies and a generalized version of Fisher information. In information theory, the de Bruijn identity links the Fisher information and the derivative of the entropy. We show that this identity can be extended to generalized versions of entropy and Fisher information. More precisely, a generalized Fisher information naturally pops up in the expression of the derivative of the Tsallis entropy. This generalized Fisher information also appears as a special case of a generalized Fisher information for estimation problems. Indeed, we derive here a new Cram\'er-Rao inequality for the estimation of a parameter, which involves a generalized form of Fisher information. This generalized Fisher information reduces to the standard Fisher information as a particular case. In the case of a translation parameter, the…
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Taxonomy
TopicsStatistical Mechanics and Entropy
