Scalable Bayesian Structure Learning for Gaussian Graphical Models Using Marginal Pseudo-likelihood

Reza Mohammadi, Marit Schoonhoven, Lucas Vogels +1

Bayesian methods for learning Gaussian graphical models offer a principled framework for quantifying model uncertainty and incorporating prior knowledge. However, their scalability…