Causal models are built on probability spaces to formalize the potential outcomes framework, introduce a visualization technique, and provide initial steps toward an axiomatic theory of general causal models.
Correlations genuine and spurious in pearson and yu le
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Causal models on probability spaces
Causal models are built on probability spaces to formalize the potential outcomes framework, introduce a visualization technique, and provide initial steps toward an axiomatic theory of general causal models.