most citedBCDAG: An R package for Bayesian structure and Causal learning of Gaussian DAGs

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stat.ME2023

Bayesian causal discovery from unknown general interventions

Alessandro Mascaro, Federico Castelletti

We consider the problem of learning causal Directed Acyclic Graphs (DAGs) using combinations of observational and interventional experimental data. Current methods tailored to this…