Causality Discovery with Additive Disturbances: An Information-Theoretical Perspective

@inproceedings{Zhang2009CausalityDW,
  title={Causality Discovery with Additive Disturbances: An Information-Theoretical Perspective},
  author={Kun Zhang and Aapo Hyv{\"a}rinen},
  booktitle={ECML/PKDD},
  year={2009}
}
We consider causally sufficient acyclic causal models in which the relationship among the variables is nonlinear while disturbances have linear effects, and show that three principles, namely, the causal Markov condition (together with the independence between each disturbance and the corresponding parents), minimum disturbance entropy, and mutual independence of the disturbances, are equivalent. This motivates new and more efficient methods for some causal discovery problems. In particular, we… CONTINUE READING
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