Understanding the Tripartite Approach to Bayesian Divergence Time Estimation

Rachel C M Warnock (u. a.)

ISBN 10: 1108949428 / ISBN 13: 9781108949422

Published by Cambridge University Press, 2021

About this Item

Understanding the Tripartite Approach to Bayesian Divergence Time Estimation | Rachel C M Warnock (u. a.) | Taschenbuch | Kartoniert / Broschiert | Englisch | 2021 | Cambridge University Press | EAN 9781108949422 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.

Seller Inventory # 118955263

Bibliographic Details

• Title: Understanding the Tripartite Approach to Bayesian Divergence Time Estimation
• Publisher: Cambridge University Press
• Publication Date: 2021
• Language: English
• ISBN 10: 1108949428
• ISBN 13: 9781108949422
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 229W x 152H x 3D millimeters 229 millimeters width by 152 millimeters height by 3 millimeters depth
• Weight: 77 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

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.