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  Distinguishing between cause and effect

Mooij, J., & Janzing, D. (2010). Distinguishing between cause and effect. Cambridge, MA, USA: MIT Press.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-C196-F Version Permalink: http://hdl.handle.net/21.11116/0000-0003-A0E5-5
Genre: Conference Paper

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 Creators:
Mooij, J1, 2, Author              
Janzing, D1, 2, Author              
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Abstract: We describe eight data sets that together formed the CauseEffectPairs task in the Causality Challenge 2: Pot-Luck competition. Each set consists of a sample of a pair of statistically dependent random variables. One variable is known to cause the other one, but this information was hidden from the participants; the task was to identify which of the two variables was the cause and which one the effect, based upon the observed sample. The data sets were chosen such that we expect common agreement on the ground truth. Even though part of the statistical dependences may also be due to hidden common causes, common sense tells us that there is a significant cause-effect relation between the two variables in each pair. We also present baseline results using three different causal inference methods.

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 Dates: 2010
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: -
 Identifiers: BibTex Citekey: MooijJ2010
 Degree: -

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Title: NIPS 2008 Workshop: Causality: Objectives and Assessment
Place of Event: Whistler, BC, Canada
Start-/End Date: 2008-12-12

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Title: JMLR Workshop and Conference Proceedings
Source Genre: Series
 Creator(s):
Guyon, I, Editor
Janzing, D, Editor            
Schölkopf, B, Editor            
Affiliations:
-
Publ. Info: Cambridge, MA, USA : MIT Press
Pages: - Volume / Issue: 6 Sequence Number: - Start / End Page: 147 - 156 Identifier: -