Bayesian Inference for Two-Parameter Gamma Distribution Assuming Different Noninformative Priors
In this paper distinct prior distributions are derived in a Bayesian inference of the two-parameters Gamma distribution. Noniformative priors, such as Jeffreys, reference, MDIP, Tibshirani and an innovative prior based on the copula approach are investigated. We show that the maximal data informatio...
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| Publicado en: | Revista Colombiana de Estadística |
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| Autores principales: | , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Universidad Nacional de Colombia
2013
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| Materias: | |
| Acceso en línea: | https://www.redalyc.org/articulo.oa?id=89929799009 |
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