I see.  I am planning to submit the EM fit for multivariate normal mixture 
models in the next couple of weeks (Math-817).  A Gibbs sampling DP fit may be 
a bit further out.   I am not opposed to allowing the number of components to 
change, but I also like the simplicity of this class.  Whatever you guys decide 
is probably fine.

Jared 
________________________________________
From: Ted Dunning [ted.dunn...@gmail.com]
Sent: Wednesday, October 17, 2012 9:41 PM
To: Commons Developers List
Subject: Re: [Math] MATH-816 (mixture model distribution)       
=?utf-8?B?LiAgICAu? ==?utf-8?B?LiAgICAu?=

The issue is that with a fixed number of components, you need to do
multiple runs to find a best fit number of components.  Gibbs sampling
against a Dirichlet process can get you to the same answer in about the
same cost as a single run of EM with a fixed number of models.

On Wed, Oct 17, 2012 at 7:31 PM, Becksfort, Jared <
jared.becksf...@stjude.org> wrote:

> Ted,
>
> I am not sure I understand the problem with the fixed number of
> components.  My understanding is that CM prefers immutable objects. Adding
> a component to an object would require reweighting in addition to modifying
> the component list.  A new mixture model could be instantiated using the
> getComponents function and then adding or removing more components if
> necessary.
>
> Jared
> ________________________________________
> From: Ted Dunning [ted.dunn...@gmail.com]
> Sent: Wednesday, October 17, 2012 5:21 PM
> To: Commons Developers List
> Subject: Re: [Math] MATH-816 (mixture model
> distribution)=?utf-8?B?LiAgICAu?    =
>
> Seems fine.
>
> I think that the limitation to a fixed number of mixture components is a
> bit limiting.  So is the limitation to a uniform set of components.  Both
> limitations can be eased without a huge difficultly.
>
> Avoiding the fixed number of components can be done by using some variant
> of Dirichlet processes.  Simply picking k_max relatively large and then
> using an approximate DP over that finite set works well.
>
> That said, mixture models are pretty nice to have.
>
> On Wed, Oct 17, 2012 at 2:13 PM, Gilles Sadowski <
> gil...@harfang.homelinux.org> wrote:
>
> > Hello.
> >
> > Any objection to commit the code as proposed on the report page?
> >   https://issues.apache.org/jira/browse/MATH-816
> >
> >
> > Regards,
> > Gilles
> >
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