[SciPy-User] Gaussian mixture models with censored data

[Johann Cohen-Tanugi]

ooops something weird happened when I copied-paste David's page. Here it 
is :
http://www.ar.media.kyoto-u.ac.jp/members/david/softwares/em/

On 07/25/2011 09:57 PM, Johann Cohen-Tanugi wrote:
> just googling for it, I found
> http://www.pymix.org/pymix/index.php?n=PyMix.Tutorial
> Is that what you want? It is based on GSL rather than scipy, but
> requires numpy anyway.
>
> A numpy/scipy implementation of EM, I believe, can be found at
> http://www.cta-observatory.org/indico/conferenceDisplay.py?confId=40
> Not sure that it has censoring, but David Cournapeau is reading this
> mailing list AFAIK
>
> There is also a google code em-python, etc..... I am sure you will find
> something useful, even if you need to code a dedicated higher level part
> of these for censored data.
>
> good luck
> Johann
>
> On 07/22/2011 11:09 PM, Giovanni Luca Ciampaglia wrote:
>> Hello everybody,
>> Before I delve into implementing it myself, is there any Python
>> implementation of the EM algorithm used for fitting Gaussian mixtures
>> that also handles (right-)censored observations?
>>
>> In particular I need to fit univariate data, so something like this:
>> http://dx.doi.org/10.1080/00949659208811452
>>
>> Best,
>>
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