bookCambridge University Press eBooksAug 6, 2015Closed access

Bayesian Evolutionary Analysis with BEAST

University of Auckland

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Abstract

What are the models used in phylogenetic analysis and what exactly is involved in Bayesian evolutionary analysis using Markov chain Monte Carlo (MCMC) methods? How can you choose and apply these models, which parameterisations and priors make sense, and how can you diagnose Bayesian MCMC when things go wrong? These are just a few of the questions answered in this comprehensive overview of Bayesian approaches to phylogenetics. This practical guide: • Addresses the theoretical aspects of the field • Advises on how to prepare and perform phylogenetic analysis • Helps with interpreting analyses and visualisation of phylogenies • Describes the software architecture • Helps developing BEAST 2.2 extensions to allow…

Citation impact

550
total citations
FWCI
68.67
Percentile
100%
References
358
Citations per year

Authors

2

Topics & keywords

Keywords
  • Markov chain Monte Carlo
  • Bayesian probability
  • Computer science
  • Phylogenetic tree
  • Prior probability
  • Machine learning
  • Bayesian statistics
  • Markov chain
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