Open AccessParallel power posterior analyses for fast computation of marginal likelihoods in phylogenetics
Author(s) -
Sebastian Höhna,
Michael J. Landis,
John P. Huelsenbeck
Publication year - 2021
Publication title -
peerj
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.927
H-Index - 70
ISSN - 2167-8359
DOI - 10.7717/peerj.12438
Subject(s) - markov chain monte carlo , computer science , marginal likelihood , computation , bayesian probability , algorithm , bayesian inference , sampling (signal processing) , posterior probability , importance sampling , inference , parallel computing , monte carlo method , mathematics , statistics , artificial intelligence , filter (signal processing) , computer vision