ConceptCausal Sufficiency / 因果充分性
Causal Sufficiency Assumption
A foundational assumption in causal discovery methods requiring that the set of observed variables contains no unobserved common causes (latent variables). Violations of this assumption can cause confounding effects to be misidentified as direct causal relationships, undermining the validity of inferred causal structures.
Timeline (last 90 days)
Oct 12
The causal sufficiency assumption requires that there are no unobserved common causes in the system; once violated, algorithms may misidentify spurious correlations produced by confounding variables as causal relationships.
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