ABSTRACT

One of the main areas where GMRF models are used in statistics are hierarchical models. Here, GMRFs serve as a convenient formulation to model stochastic dependence between parameters, and thus implicitly, dependence between observed data. The dependence can be of various kinds, such as temporal, spatial or even spatiotemporal.