Skip to content
Register Sign in Wishlist
Understanding the Tripartite Approach to Bayesian Divergence Time Estimation

Understanding the Tripartite Approach to Bayesian Divergence Time Estimation

£17.00

Part of Elements of Paleontology

  • Date Published: February 2021
  • availability: Available
  • format: Paperback
  • isbn: 9781108949422

£ 17.00
Paperback

Add to cart Add to wishlist

Other available formats:
eBook


Looking for an inspection copy?

This title is not currently available on inspection

Description
Product filter button
Description
Contents
Resources
Courses
About the Authors
  • 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.

    Customer reviews

    Not yet reviewed

    Be the first to review

    Review was not posted due to profanity

    ×

    , create a review

    (If you're not , sign out)

    Please enter the right captcha value
    Please enter a star rating.
    Your review must be a minimum of 12 words.

    How do you rate this item?

    ×

    Product details

    • Date Published: February 2021
    • format: Paperback
    • isbn: 9781108949422
    • length: 75 pages
    • dimensions: 150 x 230 x 4 mm
    • weight: 0.85kg
    • availability: 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

Related Books

Sorry, this resource is locked

Please register or sign in to request access. If you are having problems accessing these resources please email [email protected]

Register Sign in
Please note that this file is password protected. You will be asked to input your password on the next screen.

» Proceed

You are now leaving the Cambridge University Press website. Your eBook purchase and download will be completed by our partner www.ebooks.com. Please see the permission section of the www.ebooks.com catalogue page for details of the print & copy limits on our eBooks.

Continue ×

Continue ×

Continue ×
warning icon

Turn stock notifications on?

You must be signed in to your Cambridge account to turn product stock notifications on or off.

Sign in Create a Cambridge account arrow icon
×

Find content that relates to you

Join us online

This site uses cookies to improve your experience. Read more Close

Are you sure you want to delete your account?

This cannot be undone.

Cancel

Thank you for your feedback which will help us improve our service.

If you requested a response, we will make sure to get back to you shortly.

×
Please fill in the required fields in your feedback submission.
×