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Properties of Markov Chain Monte Carlo Performance across Many Empirical Alignments

Nearly all current Bayesian phylogenetic applications rely on Markov chain Monte Carlo (MCMC) methods to approximate the posterior distribution for trees and other parameters of the model. These approximations are only reliable if Markov chains adequately converge and sample from the joint posterior...

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Bibliografski detalji
Izdano u:Mol Biol Evol
Glavni autori: Harrington, Sean M, Wishingrad, Van, Thomson, Robert C
Format: Artigo
Jezik:Inglês
Izdano: Oxford University Press 2020
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC8042746/
https://ncbi.nlm.nih.gov/pubmed/33185685
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/molbev/msaa295
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