Regression Estimation and Prediction in Continuous Time

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.