Consistency of Bayesian inference of resolved phylogenetic trees

Biology – Quantitative Biology – Populations and Evolution

Scientific paper

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5 pages, no figures

Scientific paper

Bayesian methods are now one of the main tools for inferring phylogenetic trees from aligned sequence data. A recent paper (Kolackzkowski and Thornton, 2009) has suggested that Bayesian tree inference might be statistically inconsistent, at least for certain combinations of branch lengths (in part of the 'Felsenstein Zone'), on the basis of their simulation results. We mathematically demonstrate that Bayesian methods for inferring resolved trees are statistically consistent over the entire parameter range of branch lengths, under general conditions on priors, at least for simple models where the usual 'identifiability' conditions hold.

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