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The main purpose of the present paper is to outline a new approach towards an efficient approximation and modelling of data having a dynamical background, in particular processes which are governed by ordinary (stochastic) differential equations.
The first-named author has been supported by the Greek-Bulgarian bilateral project B-Gr17, 2005-2008. The second-named author is partially supported by Grant MTM2006-13000-C03-03 of the D.G.I. of Spain. Both authors acknowledge support within the project “Institutes Partnership” with the Alexander von Humboldt Foundation, Bonn.
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