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Spatial Modelling with SPDEs

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Non-Gaussian observations

Bernoulli Spatial Classification with a Matérn Field

Advanced GMRF modelling for disease mapping

Hyperparameter inference

Automatic Differentiation for GMRF Hyperparameters

Automatic Differentiation and MCMC

Further topics

Reusing factorizations across hyperparameters

KL-minimizing Sparse GMRF Approximations to Gaussian Processes

Learning GMRFs from data with the graphical lasso

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