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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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Statistique paramétrique des processus longue mémoire
Guégan, Dominique - In: Publications de l'Institut de Statistique de … 36 (1991) 1, pp. 125-140
Persistent link: https://www.econbiz.de/10001141256
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A meta-distribution for non-stationary samples
Guégan, Dominique - 2009
Persistent link: https://www.econbiz.de/10003849558
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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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A review on techniques of estimation in long-memory processes : application to intra-day data
Bisaglia, Luisa; Guégan, Dominique - 1996
Persistent link: https://www.econbiz.de/10000950816
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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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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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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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Determinating Lyapunov exponents in deterministic dynamical systems
Delecroix, Michel; Guégan, Dominique; Léorat, Guillaume - 1996
Persistent link: https://www.econbiz.de/10000939466