I've used Nadaraya-Watson Kernel regression before to smooth data. Recently I have run into Gaussian process regression.
Prima facie, they don't seem to be related. But I am wondering if there perhaps is a deeper connection I am not aware of. Is Nadaraya-Watson kernel regression a special case of GPR?