Gaussian processes can be incorporated into a variety of hierarchical models to flexibly accommodate complex dependence structures such as those that arise in the analysis of physical systems. For example, they are a central building block in the modern analysis of point-referenced spatial data. Another example is their use as prior distributions in nonparametric regression problems, including...