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- W2982254562 abstract "We present a method for both cross estimation and iterated time series prediction of spatio temporal dynamics based on reconstructed local states, PCA dimension reduction, and local modelling using nearest neighbour methods. The effectiveness of this approach is shown for (noisy) data from a (cubic) Barkley model, the Bueno-Orovio-Cherry-Fenton model, and the Kuramoto-Sivashinsky model." @default.
- W2982254562 created "2019-11-01" @default.
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- W2982254562 date "2019-10-26" @default.
- W2982254562 modified "2023-10-09" @default.
- W2982254562 title "Predicting Spatio-temporal Time Series Using Dimension Reduced Local States" @default.
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- W2982254562 doi "https://doi.org/10.1007/s00332-019-09588-7" @default.
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