Bayesian Mixed Effect Models

There are a number of drawbacks to likelihood-based estimation of mixed effect models. We have seen in the previous two chapters that inference is often difficult. Furthermore, we may encounter problems even in the maximization of the likelihood leading to untrustworthy results. This leads us to explore alternative approaches to inference for these models.