Type-II Errors of Independence Tests Can Lead to Arbitrarily Large Errors in Estimated Causal Effects: An Illustrative Example

Nicholas Cornia, Joris M. Mooij. Type-II Errors of Independence Tests Can Lead to Arbitrarily Large Errors in Estimated Causal Effects: An Illustrative Example. In Joris M. Mooij, Dominik Janzing, Jonas Peters, Tom Claassen, Antti Hyttinen, editors, Proceedings of the UAI 2014 Workshop Causal Inference: Learning and Prediction co-located with 30th Conference on Uncertainty in Artificial Intelligence (UAI 2014), Quebec City, Canada, July 27, 2014. Volume 1274 of CEUR Workshop Proceedings, pages 35-42, CEUR-WS.org, 2014. [doi]

Abstract

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