Causal Atlases from Entropic Inference: Bayesian Networks beyond Optimal DAGs

Data-driven causal relationship identification is pertinent to advancing understanding of complex systems both within and beyond science. Bayesian networks offer a probabilistic method for modelling generic causal relationships via directed acyclic graphs (DAGs). However, typical techniques for cons...