MrBayes 3.2: Efficient Bayesian Phylogenetic Inference and Model Choice across a Large Model Space

作者: Fredrik Ronquist , Maxim Teslenko , Paul van der Mark , Daniel L. Ayres , Aaron Darling

DOI: 10.1093/SYSBIO/SYS029

关键词: Markov chainTree (data structure)Bayes estimatorBayesian probabilityMathematicsTheoretical computer scienceMarkov chain Monte CarloBayes factorInferenceSpeedup

摘要: Since its introduction in 2001, MrBayes has grown in popularity as a software package for Bayesian phylogenetic inference using Markov chain Monte Carlo (MCMC) methods. With this note, we announce the release of version 3.2, a major upgrade to the latest official release presented in 2003. The new version provides convergence diagnostics and allows multiple analyses to be run in parallel with convergence progress monitored on the fly. The introduction of new proposals and automatic optimization of tuning parameters has …

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