We present an approach to Bayesian model selection for finitely observed diffusion processes. We use data augmentation by treating the paths between observed points as missing data. For a fixed model ...
The Annals of Applied Statistics, Vol. 12, No. 1 (March 2018), pp. 633-653 (21 pages) Spatio-temporal hierarchical modeling is an extremely attractive way to model the spread of crime or terrorism ...
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