Bayesian methods outperform parsimony but at the expense of precision in the estimation of phylogeny from discrete morphological data
Different analytical methods can yield competing interpretations of evolutionary history and, currently, there is no definitive method for phylogenetic reconstruction using morphological data. Parsimony has been the primary method for analysing morphological data, but there has been a resurgence of interest in the likelihood-based Mk-model. Here, we test the performance of the Bayesian implementation of the Mk-model relative to both equal and implied-weight implementations of parsimony. Using...Expand abstract
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- Peer reviewed
- Copyright holder:
- Joseph E. O'Reilly et al.
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- © 2016 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
- CC Attribution (CC BY)
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