Kernel regression
= Kernel regression
{wiki}
<Kernel regression> estimates a <regression function> using localized kernel weights rather than a fixed finite-dimensional functional form. The <Nadaraya–Watson estimator> is the local-constant version; <local polynomial regression> improves its local approximation by fitting a <polynomial>.