Bayesian Computational Methods for Sampling from the Posterior Distribution of a Bivariate Survival Model, Based on AMH Copula in the Presence of Right-Censored Data

In this paper, we study the performance of Bayesian computational methods to estimate the parameters of a bivariate survival model based on the Ali–Mikhail–Haq copula with marginal distributions given by Weibull distributions. The estimation procedure was based on Monte Carlo Markov Chain (MCMC) alg...

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Detalles Bibliográficos
Autores principales: Saraiva, Erlandson Ferreira, Suzuki, Adriano Kamimura, Milan, Luis Aparecido
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7513167/
https://www.ncbi.nlm.nih.gov/pubmed/33265731
http://dx.doi.org/10.3390/e20090642

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7513167/
https://www.ncbi.nlm.nih.gov/pubmed/33265731
http://dx.doi.org/10.3390/e20090642

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