English

Fisher Information of a Family of Generalized Normal Distributions

Information Theory 2020-11-18 v1 math.IT

Abstract

In this brief note we compute the Fisher information of a family of generalized normal distributions. Fisher information is usually defined for regular distributions, i.e. continuously differentiable (log) density functions whose support does not depend on the family parameter θ\theta. Although the uniform distribution in [θ,+θ][-\theta, + \theta] does not satisfy the regularity requirements, as a special case of our result, we will obtain the Fisher information for this family.

Keywords

Cite

@article{arxiv.2011.08683,
  title  = {Fisher Information of a Family of Generalized Normal Distributions},
  author = {Precious Ugo Abara and Sandra Hirche},
  journal= {arXiv preprint arXiv:2011.08683},
  year   = {2020}
}

Comments

3 pages, 1 figure