Kernel Density Estimation, Regression, Differential Equations, Data Science, Statistics.
Regularized Kernel Regression from a Variational Principle How to derive and generalize the Nadaraya–Watson estimator through the calculus of variations Photo by John Anvik on Unsplash Kernel regression techniques are a set of non-parametric methods to fit a reasonably smooth curve through a set of