Nonlinear time series analysis (NLTS) requires time series data on only a single variable to diagnose, reconstruct, characterize and model the dynamics of the real-world system generating the data. This is possible because any single variable in an interdependent dynamic system encodes the history of its interactions with other system variables.

Huffaker R., Bittelli M., Rosa R. (2018). Nonlinear time series analysis with R. Oxford (UK) : Oxford University Press [10.1093/oso/9780198782933.001.0001].

Nonlinear time series analysis with R

Bittelli M.;
2018

Abstract

Nonlinear time series analysis (NLTS) requires time series data on only a single variable to diagnose, reconstruct, characterize and model the dynamics of the real-world system generating the data. This is possible because any single variable in an interdependent dynamic system encodes the history of its interactions with other system variables.
2018
360
9780198782933
Huffaker R., Bittelli M., Rosa R. (2018). Nonlinear time series analysis with R. Oxford (UK) : Oxford University Press [10.1093/oso/9780198782933.001.0001].
Huffaker R.; Bittelli M.; Rosa R.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/945914
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