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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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Minimum Hellinger distance estimates for general bilinear time series models
Hili, O.; Guégan, Dominique - 1993
Persistent link: https://www.econbiz.de/10000879083
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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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A nonparametrique [nonparametric] point of view stochastic versus deterministic approach
Guégan, Dominique - 1996
Persistent link: https://www.econbiz.de/10000936737
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Determinating Lyapunov exponents in deterministic dynamical systems
Delecroix, Michel; Guégan, Dominique; Léorat, Guillaume - 1996
Persistent link: https://www.econbiz.de/10000939466
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Predictive dimension : an alternative definition of the embedding dimension
Guégan, Dominique; Lisi, Francesco - 1997
Persistent link: https://www.econbiz.de/10000980457
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Statistical estimation of the embedding dimension of a dynamic system
Bosq, Denis; Guégan, Dominique; Léorat, Guillaume - 1998
Persistent link: https://www.econbiz.de/10000984191
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Prediction of chaotic time series in the presence of measurement error : the importance of initial conditions
Guégan, Dominique; Tschernig, Rolf - 1998
Persistent link: https://www.econbiz.de/10000984196
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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