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 ...

Journal of the Royal Statistical Society. Series B (Statistical Methodology), Vol. 66, No. 1 (2004), pp. 31-46 (16 pages) We suggest two new methods, which are applicable to both deconvolution and ...

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

Given the extraordinary claim, we were eager to examine the supporting evidence and have noticed several issues that cause us to find the claim doubtful. In the low baseline TL subgroup (N=17), ...