nonparametric.bandwidths.bw_silverman()

statsmodels.nonparametric.bandwidths.bw_silverman

statsmodels.nonparametric.bandwidths.bw_silverman(x, kernel=None) [source]

Silverman’s Rule of Thumb

Parameters:	x : array-like Array for which to get the bandwidth kernel : CustomKernel object Unused
Returns:	bw : float The estimate of the bandwidth

Notes

Returns .9 * A * n ** (-1/5.) where

A = min(std(x, ddof=1), IQR/1.349)
IQR = np.subtract.reduce(np.percentile(x, [75,25]))

References

Silverman, B.W. (1986) Density Estimation.