Journal article
Bayesian methods outperform parsimony but at the expense of precision in the estimation of phylogeny from discrete morphological data
- Abstract:
-
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...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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Authors
Bibliographic Details
- Publisher:
- Royal Society Publisher's website
- Journal:
- Biology Letters Journal website
- Volume:
- 12
- Issue:
- 4
- Pages:
- 20160081-20160081
- Publication date:
- 2016-04-01
- Acceptance date:
- 2016-03-21
- DOI:
- EISSN:
-
1744-957X
- ISSN:
-
1744-9561
Item Description
- Language:
- English
- Keywords:
- Pubs id:
-
1097802
- Local pid:
- pubs:1097802
- Deposit date:
- 2020-04-06
Terms of use
- Copyright holder:
- Joseph E. O'Reilly et al.
- Copyright date:
- 2016
- Rights statement:
- © 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.
- Licence:
- CC Attribution (CC BY)
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