Kullback-Leibler divergence for the Fr\'echet extreme-value distribution
Jean-Christophe Pain

TL;DR
This paper derives a simple closed-form expression for the Kullback-Leibler divergence between two Fréchet extreme-value distributions, involving fundamental constants, which facilitates analysis and comparison of such distributions.
Contribution
The paper provides the first explicit closed-form formula for the KL divergence between two Fréchet distributions, simplifying divergence calculations in extreme-value analysis.
Findings
Closed-form KL divergence involving Euler-Mascheroni constant
Simplifies divergence computation for Fréchet distributions
Facilitates statistical analysis of extreme-value models
Abstract
We derive a closed-form solution for the Kullback-Leibler divergence between two Fr\'echet extreme-value distributions. The resulting expression is rather simple and involves the Euler-Mascheroni constant.
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Taxonomy
TopicsStatistical Distribution Estimation and Applications · Advanced Statistical Methods and Models · Financial Risk and Volatility Modeling
