Approximating counterfactual bounds while fusing observational, biased and randomised data sources

DOI10.1016/J.IJAR.2023.109023arXiv2307.16577OpenAlexW4386565928MaRDI QIDQ6066852

Alessandro Antonucci, David E. Huber, Rafael Cabañas, Marco Zaffalon

Publication date: 16 November 2023

Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2307.16577

zbMATH Keywords

counterfactualsbiased dataexpectation maximisationstructural causal modelsrandomised data

Mathematics Subject Classification ID

Reasoning under uncertainty in the context of artificial intelligence (68T37) Computational aspects of data analysis and big data (68T09) Causal inference from observational studies (62D20)

Cites Work

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• Probabilities of causation: Bounds and identification

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