I am attempting to find a reference which explains how one computes standard errors for local polynomial regression? Specifically, in R one can use the loess ...
If variable kernel widths are often good for kernel regression, why are they generally not good for kernel density estimation?
This question is prompted by discussion elsewhere. Variable kernels are often used in local regression. For example, loess is widely used and works well as a regression smoother, and is based on a ...