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Granger causality
Granger causality is a statistical concept of causality that is based on prediction. According to Granger causality, if a signal X1 "Granger-causes" (or "G-causes") a signal X2, then past values of X1 should contain information that helps predict X2 above and beyond the information contained in past values of X2 alone. Its mathematical formulation is based on linear regression modeling of stochastic processes (Granger 1969). More complex extensions to nonlinear cases exist, however these extensions are often more difficult to apply in practice.
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- Published
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ScholarpediaISSN
19416016External DOI
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7Volume
2Page range
1667Department affiliated with
- Informatics Publications
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- Yes
Legacy Posted Date
2012-02-06Usage metrics
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