Modeling Spatio-Temporal Data : Markov Random Fields, Objective Bayes, and Multiscale Models (Hardcover)

1. Proper Gaussian Markov Random Fields.?2. Gaussian Spatial Hierarchical Models with ICAR Priors.?3. Objective Priors for Spatio-Temporal Models.?4. Spatio-Temporal Models for Poisson Areal Data.?5. Dynamic Multiscale Spatio-Temporal Thresholding. 6. Multiscale Spatio-Temporal Data Assimilation.?7. Multiscale Heteroscedastic Multivariate Spatio-Temporal Models.?8. A Model Selection Paradox with Implications to Multiscale Modeling.?9. Ensembles of Dynamic Multiscale Spatio-Temporal Models.