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