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stat.ME2023
Approximating Counterfactual Bounds while Fusing Observational, Biased and Randomised Data Sources
Marco Zaffalon, Alessandro Antonucci, Rafael Cabañas +1
We address the problem of integrating data from multiple, possibly biased, observational and interventional studies, to eventually compute counterfactuals in structural causal mode…
cs.AI2023
Efficient Computation of Counterfactual Bounds
Marco Zaffalon, Alessandro Antonucci, Rafael Cabañas +2
We assume to be given structural equations over discrete variables inducing a directed acyclic graph, namely, a structural causal model, together with data about its internal nodes…