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

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

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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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Bibliographic Details
Main Authors: Allen G. Rodrigo, Peter Tsai, Helen Shearman
Format: Article
Language:English
Published: SAGE Publishing 2009-01-01
Series:Evolutionary Bioinformatics
Subjects:
coalescent
Bayesian inference
MCMC
bootstrap
effective population size
Online Access:http://www.la-press.com/on-the-use-of-bootstrapped-topologies-in-coalescent-based-bayesian-mcm-a1574

Internet

http://www.la-press.com/on-the-use-of-bootstrapped-topologies-in-coalescent-based-bayesian-mcm-a1574

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