A kernel is a function such that
The kernel density estimator with bandwidth of a probability density in Sobolev space from i.i.d. data is and has expected error is bound using the Bias-Variance Decomposition
where the term arises as the bias is dominated by the second-order fluctuations (using Taylor’s Theorem). In general, when the error scales as