Forecasting chaotic systems: The role of local Lyapunov exponents

作者: Dominique Guégan , Justin Leroux

DOI: 10.1016/J.CHAOS.2008.09.017

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摘要: We propose a novel methodology for forecasting chaotic systems which is based on exploiting the information conveyed by local Lyapunov exponents of system. This used to correct inevitable bias most non-parametric predictors. Using simulated data, we show that gains in prediction accuracy can be substantial.

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