Alberto Llera

Bayesian estimators of the Gamma distribution

2016 · arXiv (Cornell University)

In this paper we introduce two Bayesian estimators for learning the parameters of the Gamma distribution. The first algorithm uses a well known unnormalized conjugate prior for the Gamma shape and the second one uses …

Variational Mixture Models with Gamma or inverse-Gamma components

2016 · arXiv (Cornell University)

Mixture models with Gamma and or inverse-Gamma distributed mixture components are useful for medical image tissue segmentation or as post-hoc models for regression coefficients obtained from linear regression within a Generalised Linear Modeling framework (GLM), …