[SciPy-User] Epanechnikov kernel
Sat Jan 19 07:40:42 CST 2013
On Sat, Jan 19, 2013 at 8:32 AM, Skipper Seabold <email@example.com> wrote:
> On Sat, Jan 19, 2013 at 7:49 AM, <firstname.lastname@example.org> wrote:
>> On Sat, Jan 19, 2013 at 6:34 AM, email@example.com
>> <firstname.lastname@example.org> wrote:
>>> Hi all,
>>> I have a question for you. Is it possible in scipy using a Epanechnikov
>>> kernel function?
>>> I checked on scipy documentation but i found that the only way to calculate
>>> kernel-density estimate is possible only with using Gaussian kernels?
>>> Is it true?
>> Yes, kde in scipy.stats only has gaussian_kde
>> Also in statsmodels currently only gaussian is supported for
>> continuous data
>> (It was removed because in the references only the bandwidth selection
>> made much difference in the estimation, but not the shape of the
>> kernel. Other kernels for continuous variables will come back
> If you're interested in univariate KDE, then we do have the Epanechnikov kernel.
oops, I was only looking at the fft part.
I stand corrected.
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