most citedCausal Discovery from a Mixture of Experimental and Observational Data

172 citations · 172 across the 1 of their papers we have counts for

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1 paper

cs.AI2013★ 172 cited

Causal Discovery from a Mixture of Experimental and Observational Data

Gregory F. Cooper, Changwon Yoo

This paper describes a Bayesian method for combining an arbitrary mixture of observational and experimental data in order to learn causal Bayesian networks. Observational data are…