Computing the Kullback-Leibler Divergence between two Generalized Gamma Distributions
arXiv:1401.6853
Abstract
We derive a closed form solution for the Kullback-Leibler divergence between two generalized gamma distributions. These notes are meant as a reference and provide a guided tour towards a result of practical interest that is rarely explicated in the literature.
References in corpus (1)
Cited by in corpus (5)
- Radial and Directional Posteriors for Bayesian Neural Networks
- A Variational Autoencoder for Probabilistic Non-Negative Matrix Factorisation
- Marginalized Two Part Models for Generalized Gamma Family of Distributions
- Maximum Entropy Models of Shortest Path and Outbreak Distributions in Networks
- Distance Metrics for Gamma Distributions