Bayesian computation for high-dimensional Gaussian Graphical Models with spike-and-slab priors

Deborah Sulem, Jack Jewson, David Rossell

Gaussian graphical models are widely used to infer dependence structures. Bayesian methods are appealing to quantify uncertainty associated with structural learning, i.e., the plau…