19 citations · 32 across the 3 of their papers we have counts for
3 papers
stat.ML2016★ 10 cited
Variational Mixture Models with Gamma or inverse-Gamma components
A. Llera, D. Vidaurre, R. H. R. Pruim +1
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 obt…
stat.ME2016★ 3 cited
Bayesian estimators of the Gamma distribution
A. Llera, C. F. Beckmann
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…
stat.ME2016★ 19 cited
Estimating an Inverse Gamma distribution
A. Llera, C. F. Beckmann
In this paper we introduce five different algorithms based on method of moments, maximum likelihood and full Bayesian estimation for learning the parameters of the Inverse Gamma di…