Learning Gaussian Graphical Models With Fractional Marginal Pseudo-likelihood

Janne Leppä-aho, Johan Pensar, Teemu Roos +1

We propose a Bayesian approximate inference method for learning the dependence structure of a Gaussian graphical model. Using pseudo-likelihood, we derive an analytical expression…