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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Bibliographic Details
Main Authors: Sebastian Höhna, Michael J. Landis, John P. Huelsenbeck
Format: Article
Language:English
Published: PeerJ Inc. 2021-11-01
Series:PeerJ
Subjects:
Online Access:https://peerj.com/articles/12438.pdf