Comment on Causal Diagrams and Causal Models

Fri, 14 Dec 2012 19:38:41 GMT

Oh well I think I can answer the question:

You can measure the likelihood that the profile the datasets are similar by chance. For an example simple increasing tendency - correlation that is - that can be explained by coincidentially similar increasing tendency, but if there's an complex profile to correlation, you can measure what the likelihood for a coincidence is? Even further, the more complex the profiles are, the less likely a coincidence becomes? ( if they match )

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