Modeling Spatio-Temporal Data: Markov Random Fields, Objective Bayes, and
131,85 €
Hierarchical models with intrinsic conditional autoregressive priors for spatial random effects, including reference priors, results on fast computations, and objective Bayes model selection. Proper Gaussian Markov random fields and their uses as building blocks for spatio-temporal models and multiscale models.
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