Understanding the Tripartite Approach to Bayesian Divergence Time Estimation

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Understanding the Tripartite Approach to Bayesian Divergence Time Estimation

  • 著者名:Warnock, Rachel C. M./Wright, April M.
  • 価格 ¥2,838 (本体¥2,580)
  • Cambridge University Press(2021/02/04発売)
  • 3連休は読書を!Kinoppy 電子書籍・電子洋書 全点ポイント30倍キャンペーン(~2/23)
  • ポイント 750pt (実際に付与されるポイントはご注文内容確認画面でご確認下さい)
  • 言語:ENG
  • ISBN:9781108949422
  • eISBN:9781108957564

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Description

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.

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.

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