摘要：We introduce a Bayesian hierarchical model for mitochondrial
DNA sequence data, which is fitted via acceptance-rejection algorithms. The
model incorporates parametric models of population history explicitly as well
as a mutational process allowing for a simultaneous parameter estimation
whose importance has become increasingly clear in many recent studies. The
model is applied to a sample of DNA sequences from the Italian population.
