how to integrate a 2d kernel density estimate without sampling

Asked Nov 27 '14 at 16:10

Active Nov 27 '14 at 16:10

Viewed 178 times

I want to integrate a 2d kernel density estimator, basically like this guy here is doing, by in a more "scipythonic" way (sampling ten thousand times and then summing up just does not cut it for me, python is expensive with for loops, how to use scipy in this case?)

edited May 23 '17 at 12:20

Community

asked Nov 27 '14 at 16:10

grokkaine

Have you tried evaluating the density estimate on a regular grid and integrating? – jme Nov 27 '14 at 17:27
`kernel.integrate_box`? – ev-br Nov 27 '14 at 20:22

how to integrate a 2d kernel density estimate without sampling

0 Answers0