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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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Bibliografiska uppgifter
I publikationen:Entropy (Basel)
Huvudupphovsmän: Saraiva, Erlandson Ferreira, Suzuki, Adriano Kamimura, Milan, Luis Aparecido
Materialtyp: Artigo
Språk:Inglês
Publicerad: MDPI 2018
Ämnen:
Länkar:https://ncbi.nlm.nih.gov/pmc/articles/PMC7513167/
https://ncbi.nlm.nih.gov/pubmed/33265731
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e20090642
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