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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Detalles Bibliográficos
Autores principales: Höhna, Sebastian, Landis, Michael J., Huelsenbeck, John P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2021
Materias:
Bioinformatics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8570164/
https://www.ncbi.nlm.nih.gov/pubmed/34760401
http://dx.doi.org/10.7717/peerj.12438

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8570164/
https://www.ncbi.nlm.nih.gov/pubmed/34760401
http://dx.doi.org/10.7717/peerj.12438

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