Mixtures of Gamma Distributions With Applications

By Michael P. Wiper, David Ríos Insua, Fabrizio Ruggeri. 2001

172 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/2de99a190bdf9939f647f0e8672c2d375067a601

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. James Merleau
2. Luc Perreault
3. Guillaume Évin

In Statistics and Probability

1. James Merleau
2. Luc Perreault
3. Guillaume Évin

Citations in the corpus

• Two‐component mixtures of normal, gamma, and Gumbel distributions for hydrological applications (2011, background): “Gamma mixtures have also been studied in the past by several authors [see, for example, Wiper et al., 2001; Al-Saleh and Agarwalb, 2007].”
• Bayesian Modelling and Inference on Mixtures of Distributions (2005, unknown): “Mixtures of Weibulls (Tsionas 2002) and Gammas (Wiper et al. 2001) have been considered, along with computational issues associated with MCMC methods (Liang and Wong 2001), issues of convergence (Liang and Wong 2001), the display”