Bayesian Inference in Sparse Gaussian Graphical Models

27 Sep 2013Peter OrchardFelix AgakovAmos Storkey

One of the fundamental tasks of science is to find explainable relationships between observed phenomena. One approach to this task that has received attention in recent years is based on probabilistic graphical modelling with sparsity constraints on model structures... (read more)

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