Model choice for phylogeographic inference using a large set of models.

@article{Pelletier2014ModelCF,
  title={Model choice for phylogeographic inference using a large set of models.},
  author={Tara A Pelletier and Bryan C. Carstens},
  journal={Molecular ecology},
  year={2014},
  volume={23 12},
  pages={3028-43}
}
Model-based analyses are common in phylogeographic inference because they parameterize processes such as population division, gene flow and expansion that are of interest to biologists. Approximate Bayesian computation is a model-based approach that can be customized to any empirical system and used to calculate the relative posterior probability of several models, provided that suitable models can be identified for comparison. The question of how to identify suitable models is explored using… CONTINUE READING
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