Causality detection: Difference between revisions

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Thus, causality typically involves at least a temporal ''delay'' between the two events.
Thus, causality typically involves at least a temporal ''delay'' between the two events.


In the context of data analysis, it is more productive to adopt [[Wikipedia:Norbert_Wiener|Wiener]]'s 'quantifiable causality'. <ref>N. Wiener. ''The theory of prediction.'' Modern Mathematics for Engineers, Mc-Graw Hill, New York, 1956</ref> It states:
In the context of data analysis, it is more productive to adopt [[Wikipedia:Norbert_Wiener|Wiener]]'s 'quantifiable causality'. <ref>N. Wiener. ''The theory of prediction.'' Modern Mathematics for Engineers, Mc-Graw Hill, New York, 1956, ISBN 0486497461</ref> It states:
* if we can predict X better by using the past information from Y than without it, then we call Y causal to X.
* if we can predict X better by using the past information from Y than without it, then we call Y causal to X.