Journal article
Uncertainty in divergence time estimation
- Abstract:
-
Understanding and representing uncertainty is crucial in academic research, because it enables studies to build on the conclusions of previous studies, leading to robust advances in a particular field. Here, we evaluate the nature of uncertainty and the manner by which it is represented in divergence time estimation, a field that is fundamental to many aspects of macroevolutionary research, and where there is evidence that uncertainty has been seriously underestimated. We address this issue i...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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Authors
Bibliographic Details
- Publisher:
- Oxford University Press Publisher's website
- Journal:
- Systematic Biology Journal website
- Volume:
- 70
- Issue:
- 4
- Pages:
- 855–861
- Publication date:
- 2020-12-12
- Acceptance date:
- 2020-12-02
- DOI:
- EISSN:
-
1076-836X
- ISSN:
-
1063-5157
- Pmid:
-
33313882
Item Description
- Language:
- English
- Keywords:
- Pubs id:
-
1150058
- Local pid:
- pubs:1150058
- Deposit date:
- 2021-01-19
Terms of use
- Copyright holder:
- Carruthers and Scotland
- Copyright date:
- 2020
- Rights statement:
- © The Author(s) 2020. Published by Oxford University Press, on behalf of the Society of Systematic Biologists. All rights reserved. This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model.
- Notes:
- This is the accepted manuscript version of the article. The final version is available online from Oxford University Press at: https://doi.org/10.1093/sysbio/syaa096
- Licence:
- Other
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