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Stochastic versus deterministic chaos
Guégan, Dominique - 1994
Persistent link: https://www.econbiz.de/10000894121
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A nonparametrique [nonparametric] point of view stochastic versus deterministic approach
Guégan, Dominique - 1996
Persistent link: https://www.econbiz.de/10000936737
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Effect of noise filtering on predictions : on the routes of chaos
Guégan, Dominique - In: Brussels economic review 53 (2010) 2, pp. 255-272
Persistent link: https://www.econbiz.de/10009241074
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Detecting deterministic chaos from observational data
Delecroix, Michel; Guégan, Dominique; Léorat, Guillaume - 1994
Persistent link: https://www.econbiz.de/10000896439
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Non parametric estimation of the chaotic function and the invariant measure of a dynamical system
Bosq, Denis; Guégan, Dominique - 1993
Persistent link: https://www.econbiz.de/10000874756
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Forecasting chaotic systems : the role of local Lyapunov exponents
Guégan, Dominique (contributor); Leroux, Justin (contributor) - 2007
Persistent link: https://www.econbiz.de/10003646252
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Local Lyapunov exponents : zero plays no role in forecasting chaotic systems
Guégan, Dominique (contributor); Leroux, Justin (contributor) - 2008
Persistent link: https://www.econbiz.de/10003767661
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Prediction in chaotic time series : methods and comparisons using simulations
Guégan, Dominique; Mercier, Ludovic - 1996
Persistent link: https://www.econbiz.de/10000936719
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What is the good way to identify noisy chaos? : An empirical approach
Guégan, Dominique; Léorat, Guillaume - 1996
Persistent link: https://www.econbiz.de/10000936736
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The multivariate threshold model : an alternative to detect breaks and hidden cycles on real data
Guégan, Dominique; Nguyen, Jean-Marc - 1998
Persistent link: https://www.econbiz.de/10000996740