Causal discovery from Markov properties under latent confounders

DOI10.1007/S10559-024-00677-4MaRDI QIDQ6570638

O. S. Balabanov

Publication date: 10 July 2024

Published in: Cybernetics and Systems Analysis (Search for Journal in Brave)

zbMATH Keywords

conditional independencecausal relationbowedge orientationlatent confounderd\(-\)separation

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

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• Geometry of the faithfulness assumption in causal inference
• Logic of minimal separation in causal networks
• Logic of causal inference from data under presence of latent confounders
• On the completeness of orientation rules for causal discovery in the presence of latent confounders and selection bias
• Causation, prediction, and search. With additional material by David Heckerman, Christopher Meek, Gregory F. Cooper and Thomas Richardson.

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