Markov chain Monte Carlo for Inference on Phase-type Models

Phase-type (PHT) distributions provide a natural model for a wide range of stochastic processes where the event of interest is first passage time to a given state or set of states. However, they present interesting inferential challenges. Whilst both general likelihood and Bayesian approaches have been developed in the context of distribution fitting, there has been relatively little work on inference wher