We consider a general non-parametric regression model, where the distribution of the error, given the covariate, is modelled by a conditional distribution function. For the estimation, a kernel ...

This is a preview. Log in through your library . Abstract We introduce a nonparametric regression estimator that is consistent in the presence of measurement error in ...

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single ...