Model parameterization, prior distributions, and the general time-reversible model in Bayesian phylogenetics.

@article{Zwickl2004ModelPP,
  title={Model parameterization, prior distributions, and the general time-reversible model in Bayesian phylogenetics.},
  author={Derrick J. Zwickl and Mark Holder},
  journal={Systematic biology},
  year={2004},
  volume={53 6},
  pages={877-88}
}
Bayesian phylogenetic methods require the selection of prior probability distributions for all parameters of the model of evolution. These distributions allow one to incorporate prior information into a Bayesian analysis, but even in the absence of meaningful prior information, a prior distribution must be chosen. In such situations, researchers typically seek to choose a prior that will have little effect on the posterior estimates produced by an analysis, allowing the data to dominate… CONTINUE READING