Bayesian Inference of Phylogenetics Revisited: PDF

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University of Kansas

Christopher P. Randle, Mark E. Mort, and Daniel J. Crawford

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phylogenetics Bayesian inference evolutionary biology systematics

Summary

This article revisits Bayesian inference of phylogenetics, discussing developments and concerns in this field. It explores the use of Bayesian methods for phylogenetic analysis, focusing on the advantages and challenges, and also the influence of prior probabilities on the results. The importance of model selection for reliable inference is also highlighted.

Full Transcript

See discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/269550152 Bayesian Inference of Phylogenetics Revisited: Developments and Concerns Article in Taxon · February 2005 DOI: 10.2307/25065298 CITATIONS...

See discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/269550152 Bayesian Inference of Phylogenetics Revisited: Developments and Concerns Article in Taxon · February 2005 DOI: 10.2307/25065298 CITATIONS READS 15 60 3 authors: Christopher Randle Mark E Mort Sam Houston State University University of Kansas 50 PUBLICATIONS 1,076 CITATIONS 157 PUBLICATIONS 4,020 CITATIONS SEE PROFILE SEE PROFILE Daniel Crawford University of Kansas 304 PUBLICATIONS 12,106 CITATIONS SEE PROFILE All content following this page was uploaded by Mark E Mort on 19 April 2015. The user has requested enhancement of the downloaded file. Bayesian Inference of Phylogenetics Revisited: Developments and Concerns Author(s): Christopher P. Randle, Mark E. Mort and Daniel J. Crawford Source: Taxon, Vol. 54, No. 1 (Feb., 2005), pp. 9-15 Published by: International Association for Plant Taxonomy (IAPT) Stable URL: http://www.jstor.org/stable/25065298 Accessed: 19-04-2015 11:49 UTC Your use of the JSTOR archive indicates your acceptance of the Terms & Conditions of Use, available at http://www.jstor.org/page/info/about/policies/terms.jsp JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content in a trusted digital archive. We use information technology and tools to increase productivity and facilitate new forms of scholarship. For more information about JSTOR, please contact [email protected]. International Association for Plant Taxonomy (IAPT) is collaborating with JSTOR to digitize, preserve and extend access to Taxon. http://www.jstor.org This content downloaded from 129.237.35.237 on Sun, 19 Apr 2015 11:49:17 UTC All use subject to JSTOR Terms and Conditions This content downloaded from 129.237.35.237 on Sun, 19 Apr 2015 11:49:17 UTC All use subject to JSTOR Terms and Conditions This content downloaded from 129.237.35.237 on Sun, 19 Apr 2015 11:49:17 UTC All use subject to JSTOR Terms and Conditions This content downloaded from 129.237.35.237 on Sun, 19 Apr 2015 11:49:17 UTC All use subject to JSTOR Terms and Conditions This content downloaded from 129.237.35.237 on Sun, 19 Apr 2015 11:49:17 UTC All use subject to JSTOR Terms and Conditions This content downloaded from 129.237.35.237 on Sun, 19 Apr 2015 11:49:17 UTC All use subject to JSTOR Terms and Conditions This content downloaded from 129.237.35.237 on Sun, 19 Apr 2015 11:49:17 UTC All use subject to JSTOR Terms and Conditions This content downloaded from 129.237.35.237 on Sun, 19 Apr 2015 11:49:17 UTC View publication stats All use subject to JSTOR Terms and Conditions

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