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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...
Tallennettuna:
| Julkaisussa: | Mol Biol Evol |
|---|---|
| Päätekijät: | , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Oxford University Press
2020
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| Aiheet: | |
| Linkit: | 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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