Er-Dong Guo

Bayesian Posterior Learning of Mixed Graphical Models

The Mixed Graph WWA method is proposed, a class of MCMC methods for posterior simulation in Bayesian MGMs based on the Birth-Death MCMC methodology that achieves graph recovery accuracy comparable to or better than existing approaches, while maintaining efficient posterior exploration and favorable effective sample siz...