Kullback–Leibler Divergence of the γ–ordered Normal over t–distribution

Toulias, T-L. *

Technological Educational Institute of Athens, 12210 Egaleo, Athens, Greece

Kitsos, C-P.

Technological Educational Institute of Athens, 12210 Egaleo, Athens, Greece

*Author to whom correspondence should be addressed.


Abstract

The aim of this paper is to evaluate and study the Kullback–Leibler divergence of the γ–ordered Normal distribution, a generalization of Normal distribution emerged from the generalized Fisher’s information measure, over the scaled t–distribution. We investigate this evaluation through a series
of bounds and approximations while the asymptotic behavior of the divergence is also studied. Moreover, we obtain a generalization of the known Kullback–Leibler information measure between two normal distributions, as well as the K–L divergence between Uniform or Laplace distribution over Normal distribution.

Keywords: Kullback–Liebler divergence, γ–ordered Normal distribution, Scaled t–distribution, Fisher’s information measure


How to Cite

T-L., Toulias, and Kitsos, C-P. 2012. “Kullback–Leibler Divergence of the γ–ordered Normal over t–distribution”. Journal of Advances in Mathematics and Computer Science 2 (4):198-212. https://doi.org/10.9734/BJMCS/2012/1358.

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