Construct · 1 fields · 1 citations

empirical dynamic modeling: a standalone construct

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Complexity science

forecasting and diagnosing nonlinear systems directly from reconstructed state space rather than from fixed equations.

In complexity science, empirical dynamic modeling refers to forecasting and diagnosing nonlinear systems directly from reconstructed state space rather than from fixed equations. This meaning comes from Sugihara (1990) in Nature.[1]

Unit
Recovery means
Measured by

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complexity4 fields · 7 citationsjingle · one word, four constructs state4 fields · 6 citationsjingle · one word, four constructs

References

Sugihara, G., & May, R. M. (1990). Nonlinear forecasting as a way of distinguishing chaos from measurement error in time series. Nature, 344(6268), 734-741. https://doi.org/10.1038/344734a0

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