[SciPy-user] stats.gaussian_kde prevent oversmoothing
Sat Jan 3 23:05:24 CST 2009
On Sat, Jan 3, 2009 at 23:00, <email@example.com> wrote:
> I was working on an example for stats.gaussian_kde.
> In one example I have a 1 dimensional mixture of normal distribution,
> and the estimated distribution stats.gaussian_kde is too smooth, the
> peaks are to small compared to the original distribution.
> What's the easiest way to reduce the bandwidth for stats.gaussian_kde?
> I didn't find any direct option. Is subclassing the only way?
Currently, yes. Feel free to enhance the code to allow for more flexibility.
"I have come to believe that the whole world is an enigma, a harmless
enigma that is made terrible by our own mad attempt to interpret it as
though it had an underlying truth."
-- Umberto Eco
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