Towards Scalable Bayesian Learning of Causal DAGs

Jussi Viinikka, Antti Hyttinen, Johan Pensar +1

We give methods for Bayesian inference of directed acyclic graphs, DAGs, and the induced causal effects from passively observed complete data. Our methods build on a recent Markov…