Bayesian estimation of scaled mutation rate under the coalescent: A sequential Monte Carlo approach

In this paper, we present the evolution of sequence data in a Bayesian framework and the approximation of the posterior distributions of the unknown parameters of the model, which include via the sequential Monte Carlo (SMC) samplers for static models.