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- Convergent_cross_mapping abstract "Convergent cross mapping (CCM) is a statistical test for a cause-and-effect relationship between two time series variables that, like the Granger causality test, seeks to resolve the problem that correlation does not imply causation. While Granger causality is best suited for purely stochastic systems where the influence of the causal variables are separable (independent of each other), CCM is based on the theory of Dynamical systems and can be applied to systems where causal variables have synergistic effects. The test was developed in 2012 by the lab of George Sugihara of the Scripps Institution of Oceanography, La Jolla, California, USA.".
- Convergent_cross_mapping wikiPageExternalLink watch?v=7ucgQE3SO0o.
- Convergent_cross_mapping wikiPageExternalLink watch?v=NrFdIz-D2yM.
- Convergent_cross_mapping wikiPageExternalLink watch?v=rs3gYeZeJcw.
- Convergent_cross_mapping wikiPageID "37188661".
- Convergent_cross_mapping wikiPageRevisionID "594298240".
- Convergent_cross_mapping hasPhotoCollection Convergent_cross_mapping.
- Convergent_cross_mapping subject Category:Causality.
- Convergent_cross_mapping subject Category:Time_series_analysis.
- Convergent_cross_mapping comment "Convergent cross mapping (CCM) is a statistical test for a cause-and-effect relationship between two time series variables that, like the Granger causality test, seeks to resolve the problem that correlation does not imply causation.".
- Convergent_cross_mapping label "Convergent cross mapping".
- Convergent_cross_mapping sameAs m.0n53_k5.
- Convergent_cross_mapping sameAs Q599709.
- Convergent_cross_mapping sameAs Q599709.
- Convergent_cross_mapping wasDerivedFrom Convergent_cross_mapping?oldid=594298240.
- Convergent_cross_mapping isPrimaryTopicOf Convergent_cross_mapping.