Theoretical analysis demonstrates optimal uniform convergence and quadratic error rates for additive continuous-time regression, indicating improved precision for continuous data models.
In the setting of additive regression model for continuous time process, we establish the optimal uniform convergence rates and optimal asymptotic quadratic error of additive regression. To build our estimate, we use the marginal integration method.
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Debbarh et al. (2008) studied this question.
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