This monograph adopts two axioms relating causal relationships to probability distributions. On the basis of these axioms, the authors propose a number of computationally efficient search procedures that infer causal relationships from non-experimental sample data and background knowledge.
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This monograph adopts two axioms relating causal relationships to probability distributions. On the basis of these axioms, the authors propose a number of computationally efficient search procedures that infer causal relationships from non-experimental sample data and background knowledge.
Read Less
