Rafael Cabañas

Approximating Counterfactual Bounds while Fusing Observational, Biased and Randomised Data Sources

2023 · arXiv (Cornell University)

We address the problem of integrating data from multiple, possibly biased, observational and interventional studies, to eventually compute counterfactuals in structural causal models. We start from the case of a single observational dataset affected by …