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dc.contributor.authorAchcar, Jorge Albertopt_BR
dc.contributor.authorLopes, Silvia Regina Costapt_BR
dc.date.accessioned2018-10-24T02:43:57Zpt_BR
dc.date.issued2016pt_BR
dc.identifier.issn0120-1751pt_BR
dc.identifier.urihttp://hdl.handle.net/10183/183948pt_BR
dc.description.abstractIn this paper, we present some computational aspects for a Bayesian analysis involving stable distributions. It is well known that, in general, there is no closed form for the probability density function of a stable distribution. However, the use of a latent or auxiliary random variable facilitates obtaining any posterior distribution when related to stable distributions. To show the usefulness of the computational aspects, the methodology is applied to linear and non-linear regression models. Posterior summaries of interest are obtained using the OpenBUGS software.en
dc.description.abstractEn este trabajo, presentamos algunos aspectos computacionales de análisis bayesiano con distribuciones estables. Es bien sabido que, en general, no hay forma cerrada para la función de densidad de probabilidad de distribuciones estables. Sin embargo, el uso de una variable aleatoria latente facilita obtener la distribución a posteriori. La metodologia se aplica a regresión lineal y non lineal utilizando el software OpenBUGS.es
dc.format.mimetypeapplication/pdfpt_BR
dc.language.isoengpt_BR
dc.relation.ispartofRevista Colombiana de Estadistica. Bogotá. Vol. 39, no. 1 (Jan. 20016), p. 109-128pt_BR
dc.rightsOpen Accessen
dc.subjectStable lawsen
dc.subjectAnálise bayesianapt_BR
dc.subjectBayesian analysisen
dc.subjectMétodo de Monte Carlopt_BR
dc.subjectMcmc methodsen
dc.subjectCadeias de Markovpt_BR
dc.subjectOpenBUGS softwareen
dc.subjectLeyes establees
dc.subjectAnálisis bayesianoes
dc.subjectMétodos MCMCes
dc.subjectSoftware openBUGSes
dc.titleLinear and non-linear regression models assuming a stable distributionpt_BR
dc.title.alternativeModelos de regressión lineal y no lineal suponiendo una distribución estable es
dc.typeArtigo de periódicopt_BR
dc.identifier.nrb001076666pt_BR
dc.type.originEstrangeiropt_BR


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