Before revision:  Bayesian inference , based on a Markov chain Monte Carlo algorithm , is used to obtain a posterior distribution for the relevant model parameters and latent variables, and to analyze various hypotheses about the dynamics in, and the relationship between, the jump intensities .
After revision:  Bayesian inference , based on a Markov chain Monte Carlo algorithm . The calculation of marginal likelihoods for the proposed and related models is discussed .