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stat.ME2018
Causal programming: inference with structural causal models as finding instances of a relation
Joshua Brulé
This paper proposes a causal inference relation and causal programming as general frameworks for causal inference with structural causal models. A tuple, $\langle M, I, Q, F \rangl…
stat.ME2017★ 2 cited
A causation coefficient and taxonomy of correlation/causation relationships
Joshua Brulé
This paper introduces a causation coefficient which is defined in terms of probabilistic causal models. This coefficient is suggested as the natural causal analogue of the Pearson…