Gridding and Parameter Expansion for Scalable Latent Gaussian Models of Spatial Multivariate Data
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Scalable spatial GPs for massive datasets can be built via sparse Directed Acyclic Graphs (DAGs) where a small number of directed edges is sufficient to flexibly characterize spatial dependence. The DAG can be used to devise fast algorithms for posterior sampl... ...
