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)...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
PeerJ Inc.
2021-11-01
|
Series: | PeerJ |
Subjects: | |
Online Access: | https://peerj.com/articles/12438.pdf |