Bayesian beta regression models with joint mean and dispersion modeling

Cepeda-Cuervo Edilberto () and Garrido Liliana ()
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Cepeda-Cuervo Edilberto: Departamento de Estadística, Universidad Nacional de Colombia, Colombia
Garrido Liliana: Departamento de Matemáticas, Universidad de los Andes, Colombia

Monte Carlo Methods and Applications, 2015, vol. 21, issue 1, 49-58

Abstract: This paper summarizes some results of beta regression models and proposes a Bayesian method to fit these models, including joint modeling of the mean and dispersion parameters. This method is implemented through simulated and applied studies.

Keywords: Beta regression; joint mean and dispersion modeling; Bayesian method; MCMC algorithms (search for similar items in EconPapers)
Date: 2015
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DOI: 10.1515/mcma-2014-0007

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