Using Bayesian tip-dating method to estimate divergence times and evolutionary rates postprint

Abstract: Bayesian tip dating is a recently developed method to estimate divergence times and evolutionary rates. It overcomes several drawbacks in traditional stepwise approach. However, it also requires more knowledge about statistics. This paper hierarchically explains the theory and computation in the Bayesian tip-dating approach, and divides the whole process into prior for the divergence times, prior for the evolutionary rates, model for the character changes and Markov chain Monte Carlo algorithm, which are key components in this method. The aim is to provide a general guidance for paleontologists in empirical data analyses.