estimate the error variance as the intercept in a simple linear regression model with squared
differences of paired observations as the dependent variable and squared distances
between the paired covariates as the regressor. For the special case of a one-dimensional
domain with equally spaced design points, we show that our method reaches an asymptotic
optimal rate which is not achieved by some existing methods. We conduct extensive …