ARFIMA simulations

Time series simulation with ARFIMA models.
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Mise à jour 19 oct. 2009

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The code performs the simulation of time series with autoregressive fractionally integrated moving average (ARFIMA) models that generalize ARIMA (autoregressive integrated moving average) and ARMA autoregressive moving average models. ARFIMA models allow non-integer values of the differencing parameter and are useful in modeling time series with long memory. The code generally simulates an ARFIMA(p,d,q) model where d is the differencing parameter and p and q are the order of the autoregressive and moving average parts of the model respectively.

Citation pour cette source

Simone Fatichi (2026). ARFIMA simulations (https://fr.mathworks.com/matlabcentral/fileexchange/25611-arfima-simulations), MATLAB Central File Exchange. Extrait(e) le .

Compatibilité avec les versions de MATLAB
Créé avec R2007b
Compatible avec toutes les versions
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Remerciements

A inspiré : ARFIMA(p,d,q) estimator

Version Publié le Notes de version
1.0.0.0