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Modeling rate of adaptive trait evolution using Cox–Ingersoll–Ross process: An Approximate Bayesian Computation approach

  • Published:2020-05 Issue: Volume:145 Page:106924
  • ISSN:0167-9473
  • Container-title:Computational Statistics & Data Analysis
  • language:en
  • Short-container-title:Computational Statistics & Data Analysis

Author:

Jhwueng Dwueng-ChwuanORCID

Funder

National Institute for Mathematical and Biological Synthesis

Ministry of Science and Technology, Taiwan

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Theory and Mathematics,Computational Mathematics,Statistics and Probability

Reference57 articles.

1. A generalized k statistic for estimating phylogenetic signal from shape and other high-dimensional multivariate data;Adams;Syst. Biol.,2014

2. Ecomorphological analysis of trophic niche partitioning in a tropical savannah bat community;Aguirre;Proceedings of the Royal Society of London. Series B: Biological Sciences,2002

3. qpr: An adaptive partial-report procedure based on Bayesian inference;Baek;J. Vis.,2016

4. Modelling trait dependent speciation with approximate bayesian computation;Bartoszek,2018

5. Modeling stabilizing selection: expanding the ornstein-uhlenbeck model of adaptive evolution;Beaulieu;Evolution,2012

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