[SciPy-User] SciPy.stats.kde.gaussian_kde estimation of information-theoretic measures

[josef.pktd at gmail.com]

On Thu, Sep 24, 2009 at 3:00 PM,  <josef.pktd at gmail.com> wrote:
> On Thu, Sep 24, 2009 at 2:56 PM, Robert Kern <robert.kern at gmail.com> wrote:
>> On Thu, Sep 24, 2009 at 08:49,  <josef.pktd at gmail.com> wrote:
>>
>>> I never managed to figure out what integrate_kde and
>>> integrate_gaussian in stats.kde are good for. So if you find any hints
>>> or use cases, I would be very glad to hear them.
>>
>> I told you the use case I implemented them for the last time you
>> asked. Was something unclear about my explanation?
>
> But you didn't have the reference, and the description was to vague
> for me to spend time hunting it down.

What I mean is that I didn't try to find any references or use cases
for it. Since I was mainly going through various parts of the scipy
code, I didn't wan't to spend hours with Google just to figure out
what each function might be good for.

>
> Josef
>
>
>>
>> --
>> Robert Kern
>>
>> "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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>