Multivariate kernel density estimation: Difference between revisions

Content deleted Content added
Rule of thumb: more clarity around variables used in equation
Rule of thumb: better phrasing
Line 79:
=== Rule of thumb ===
 
Silverman's rule of thumb suggests using <math>\sqrt{\mathbf{H}_{ii}} = \left(\frac{4}{d+2}\right)^{\frac{1}{d+4}} n^{\frac{-1}{d+4}} \sigma_i</math> where <math>\sigma_i</math> is the standard deviation of the ith variable, and <math>d</math> is the number of dimensions, and <math>\mathbf{H}_{ij} = 0, i\neq j</math>. Scott's rule is <math>\sqrt{\mathbf{H}_{ii}} = n^{\frac{-1}{d+4}} \sigma_i</math>.
 
==Asymptotic analysis==