Kernel Smoothing of Data with Correlated Errors
Kernel Smoothing of Data with Correlated Errors
Abstract Kernel smoothing is a common method of estimating the mean function in the nonparametric regression model y = f(x) + ε, where f(x) is a smooth deterministic mean function and ε is an error process with mean zero. In this article, the mean squared error of kernel estimators is …