On the Use of Bootstrapped Topologies in Coalescent-Based Bayesian MCMC Inference: A Comparison of Estimation and Computational Efficiencies

Coalescent-based Bayesian Markov chain Monte Carlo (MCMC) inference generates estimates of evolutionary parameters and their posterior probability distributions. As the number of sequences increases, the length of time taken to complete an MCMC analysis increases as well. Here, we investigate an app...

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Detalles Bibliográficos
Autores principales: Rodrigo, Allen G., Tsai, Peter, Shearman, Helen
Formato: Texto
Lenguaje:English
Publicado: Libertas Academica 2009
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2747130/
https://www.ncbi.nlm.nih.gov/pubmed/19812730

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2747130/
https://www.ncbi.nlm.nih.gov/pubmed/19812730

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