mlsanityData to 14 Oct 2026

Unfaithful Probability Distributions in Binary Triple of Causality Directed Acyclic Graph

arXiv 2501.18337 ↗First posted 30 Jan 2025stat.ML cs.AI cs.LGcited by 0

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Abstract (arXiv)

Faithfulness is the foundation of probability distribution and graph in causal discovery and causal inference. In this paper, several unfaithful probability distribution examples are constructed in three--vertices binary causality directed acyclic graph (DAG) structure, which are not faithful to causal DAGs described in J.M.,Robins,et al. Uniform consistency in causal inference. Biometrika (2003),90(3): 491--515. And the general unfaithful probability distribution with multiple independence and conditional independence in binary triple causal DAG is given.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). First posted on arXiv 30 Jan 2025.

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