GSM-package: Estimation of a Gamma Shape Mixture Model

In GSM: Gamma Shape Mixture

Description

This package implements a Bayesian approach for estimation of a mixture of gamma distributions in which the mixing occurs over the shape parameter. This family provides a flexible and novel approach for modeling heavy-tailed distributions, it is computationally efficient, and it only requires to specify a prior distribution for a single parameter. See Venturini et al. (2008).

Author(s)

Sergio Venturini [e-mail]

References

Venturini, S., Dominici, F. and Parmigiani, G. (2008), "Gamma shape mixtures for heavy-tailed distributions". Annals of Applied Statistics, Volume 2, Number 2, 756–776. http://projecteuclid.org/euclid.aoas/1215118537

See Also

estim.gsm, estim.gsm_theta.

GSM documentation built on May 1, 2019, 8:02 p.m.