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 Chai...

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Detalhes bibliográficos

Principais autores:	Erlandson Ferreira Saraiva, Adriano Kamimura Suzuki, Luis Aparecido Milan
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2018-08-01
coleção:	Entropy
Assuntos:	Bayesian inference Ali–Mikhail–Haq copula MCMC Metropolis-Hastings slice sampling
Acesso em linha:	http://www.mdpi.com/1099-4300/20/9/642
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