Model Selection and Model Averaging in Phylogenetics

@inproceedings{NylanderModelSA,
  title={Model Selection and Model Averaging in Phylogenetics},
  author={Johan Nylander}
}
• Model selection to use the data to select a model should be an integral part of inference [4]. • The data generating or ”true” model (f ) has an infinite number of parameters and is unreachable. • The best approximate model (g): best descriptive model given the limited sample size. Finding the best g is (or can be) the goal of model selection. • A more parameter-rich model has a higher potential than a less parameter rich model: less discrepancy due to approximation. However, a more parameter… CONTINUE READING
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