On Posterior Properties of the Two Parameter Gamma Family of Distributions

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dc.contributor.authorRamos, Pedro L.
dc.contributor.authorDey, Dipak K.
dc.contributor.authorLouzada, Francisco
dc.contributor.authorRamos, Eduardo
dc.date.accessioned2025-01-20T22:04:16Z
dc.date.available2025-01-20T22:04:16Z
dc.date.issued2021
dc.description.abstractThe gamma distribution has been extensively used in many areas of applications. In this paper, considering a Bayesian analysis we provide necessary and sufficient conditions to check whether or not improper priors Lead to proper posterior distributions. Further, we also discuss sufficient conditions to verify if the obtained posterior moments are finite. An interesting aspect of our findings are that one can check if the posterior is proper or improper and also if its posterior moments are finite by looking directly in the behavior of the proposed improper prior. To illustrate our proposed methodology these results are applied in different objective priors.
dc.fuente.origenWOS
dc.identifier.doi10.1590/0001-3765202120190826
dc.identifier.eissn1678-2690
dc.identifier.issn0001-3765
dc.identifier.urihttps://doi.org/10.1590/0001-3765202120190826
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/94075
dc.identifier.wosidWOS:000728492000001
dc.language.isoen
dc.revistaAnais da academia brasileira de ciencias
dc.rightsacceso restringido
dc.subjectGamma distribution
dc.subjectimproper prior
dc.subjectobjective prior
dc.subjectposterior property
dc.titleOn Posterior Properties of the Two Parameter Gamma Family of Distributions
dc.typeartículo
dc.volumen93
sipa.indexWOS
sipa.trazabilidadWOS;2025-01-12
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