Parallel power posterior analyses for fast computation of marginal likelihoods in phylogenetics

In Bayesian phylogenetic inference, marginal likelihoods can be estimated using several different methods, including the path-sampling or stepping-stone-sampling algorithms. Both algorithms are computationally demanding because they require a series of power posterior Markov chain Monte Carlo (MCMC)...

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Autores principales: Sebastian Höhna, Michael J. Landis, John P. Huelsenbeck
Formato: article
Lenguaje:EN
Publicado: PeerJ Inc. 2021
Materias:
R
Acceso en línea:https://doaj.org/article/f0d5f15a6f444068a4bc767018c0774d
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