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Nonparametric prediction of a Hilbert space valued random variable
Authors:D Bosq  M Delecroix
Institution:U.E.R. de Mathématiques Pures et Appliquées (Bât. M2), Université des Sciences et Techniques de Lille I, France
Abstract:Let ξt, t ? R, be a Markovian, measurable, strictly stationary process taking values in a measurable space (E, B), and g a mapping from E into a separable Hilbert space H. A statistical nonparametric predictor of gT+h) is studied in the paper. That predictor, based on the observations of the process between the times O and T generalizes the ‘predictogram’; its asymptotic consistency is proved and some applications are given.
Keywords:Markov processes  nonparametric prediction  regression estimators
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