Regression Estimation and Prediction in Continuous Time

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Abstract

This paper studies the nonparametric regression estimation and the prediction problem for continuous-time observations. The almost sure convergence of a kernel regression estimator and the associated predictor are given with rates depending on the regularity of the underlying sample paths.

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