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Efficient robust nonparametric estimation in a semimartingale regression model

Victor KonevSerguei Pergamenshchikov — 2012

Annales de l'I.H.P. Probabilités et statistiques

The paper considers the problem of robust estimating a periodic function in a continuous time regression model with the dependent disturbances given by a general square integrable semimartingale with an unknown distribution. An example of such a noise is a non-Gaussian Ornstein–Uhlenbeck process with jumps (see ( (2001) 167–241), ( (2008) 879–908)). An adaptive model selection procedure, based on the weighted least square estimates, is proposed. Under general moment...

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