Generalized Beta Divergence
Machine Learning
2013-06-19 v2
Abstract
This paper generalizes beta divergence beyond its classical form associated with power variance functions of Tweedie models. Generalized form is represented by a compact definite integral as a function of variance function of the exponential dispersion model. This compact integral form simplifies derivations of many properties such as scaling, translation and expectation of the beta divergence. Further, we show that beta divergence and (half of) the statistical deviance are equivalent measures.
Cite
@article{arxiv.1306.3530,
title = {Generalized Beta Divergence},
author = {Y. Kenan Yilmaz},
journal= {arXiv preprint arXiv:1306.3530},
year = {2013}
}