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Understanding the Tripartite Approach to Bayesian Divergence Time Estimation

Understanding the Tripartite Approach to Bayesian Divergence Time Estimation

Understanding the Tripartite Approach to Bayesian Divergence Time Estimation

Rachel C. M. Warnock, ETH Zürich
April M. Wright, Southeastern Louisiana University
February 2021
Paperback
9781108949422
$22.00
USD
Paperback
USD
eBook

    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.

    Product details

    February 2021
    Paperback
    9781108949422
    75 pages
    150 × 230 × 4 mm
    0.85kg
    Available

    Table of Contents

    • 1. Introduction
    • 2. A brief introduction to Bayesian inference in phylogenetics
    • 3. A tripartite model for divergence time estimation
    • 4. Substitution models
    • 5. Clock models
    • 6. Tree models for time-calibrated tree inference
    • 7. Expanding the potential of the tripartite model within the Bayesian framework
    • 8. Conclusions.
      Authors
    • Rachel C. M. Warnock , ETH Zürich
    • April M. Wright , Southeastern Louisiana University