Understanding the Tripartite Approach to Bayesian Divergence Time Estimation
Author | : Rachel C. M. Warnock |
Publisher | : Cambridge University Press |
Total Pages | : 80 |
Release | : 2021-02-04 |
ISBN-10 | : 9781108957564 |
ISBN-13 | : 1108957560 |
Rating | : 4/5 (64 Downloads) |
Download or read book Understanding the Tripartite Approach to Bayesian Divergence Time Estimation written by Rachel C. M. Warnock and published by Cambridge University Press. This book was released on 2021-02-04 with total page 80 pages. Available in PDF, EPUB and Kindle. Book excerpt: Placing evolutionary events in the context of geological time is a fundamental goal in paleobiology and macroevolution. In this Element we describe the tripartite model used for Bayesian estimation of time calibrated phylogenetic trees. The model can be readily separated into its component models: the substitution model, the clock model and the tree model. We provide an overview of the most widely used models for each component and highlight the advantages of implementing the tripartite model within a Bayesian framework.