Kernel density estimation
= Kernel density estimation
{title2=$\widehat f_{n,h,K}$}
{wiki}
Given <independent and identically distributed random variables> $X_1,\ldots,X_n$, the kernel density estimate is
$$
\widehat f_{n,h,K}(x)=\frac1n\sum_{i=1}^nK_h(x-X_i).
$$
= Kernel density estimator
{synonym}