# Choosing a bandwidth for kernel density estimators

For univariate kernel density estimators (KDE), I use Silverman's rule for calculating $h$:

$$0.9 \min(sd, IQR/1.34)\times n^{-0.2}$$

What are the standard rules for multivariate KDE (assuming a Normal kernel).

plot(density(precip, bw="SJ"))