[SciPy-User] visual inspection of kernel density estimators in 2d
josef.pktd at gmail.com
josef.pktd at gmail.com
Thu May 26 16:17:26 EDT 2011
I'm trying to find a visual way to see whether a kernel density
estimator "looks" good in 2d. For univariate it is easy to compare
histogram and the estimated density.
Does anyone know what graphs would give a good visual inspection?
My attempt with contours, which should show some oversmoothing if the
default gaussian_kde is used on mixture distributions:
http://picasaweb.google.com/josef.pktd/Joepy#5611119163809333922
(To avoid spamming the list with graphs, I activated a picasa account.)
Josef
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