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Understanding the Tripartite Approach to Bayesian Divergence Time Estimation

Buch | Softcover
75 Seiten
2021
Cambridge University Press (Verlag)
978-1-108-94942-2 (ISBN)
21,20 inkl. MwSt
We describe the tripartite model used for Bayesian estimation of time calibrated phylogenetic trees. We provide an overview of the most widely used models for each component (the substitution, clock and tree models) and highlight the advantages of implementing the tripartite model within a Bayesian framework.
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.

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.

Erscheinungsdatum
Reihe/Serie Elements of Paleontology
Zusatzinfo Worked examples or Exercises
Verlagsort Cambridge
Sprache englisch
Maße 230 x 150 mm
Gewicht 850 g
Themenwelt Mathematik / Informatik Mathematik Statistik
Naturwissenschaften Biologie Evolution
Naturwissenschaften Geowissenschaften Mineralogie / Paläontologie
Sozialwissenschaften Pädagogik
ISBN-10 1-108-94942-8 / 1108949428
ISBN-13 978-1-108-94942-2 / 9781108949422
Zustand Neuware
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