Model checking and model improvement

Any Markov chain simulation is conditional on an assumed model. As the applied chapters of this book these models can be complicated and generally rely on inherently unverifiable assumptions. From a practical standpoint, it is important both to explore how inferences of substantive interest depend on such assumptions, and to check these aspects of the model whenever feasible.