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Support for Beta Mixture Model #156

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jdtuck opened this issue Mar 12, 2024 · 2 comments · May be fixed by #157
Open

Support for Beta Mixture Model #156

jdtuck opened this issue Mar 12, 2024 · 2 comments · May be fixed by #157
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enhancement New feature or request good first issue Good for newcomers

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@jdtuck
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jdtuck commented Mar 12, 2024

Can you add the support for the Beta Mixture Model. This is a particular useful in point process estimation and one of the nice features of the dirichletprocess R package. This would be helpful to have in this code for speed.

Ref: Athanasios Kottas. Dirichlet process mixtures of beta distributions, with applications to density and intensity estimation. In Workshop on Learning with Nonparametric Bayesian Methods, 23rd International Conference on Machine Learning (ICML), 2006a.

@mberaha mberaha added enhancement New feature or request good first issue Good for newcomers labels Mar 12, 2024
@mberaha mberaha linked a pull request Mar 12, 2024 that will close this issue
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@mberaha
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mberaha commented Mar 12, 2024

Thanks @jdtuck for opening this issue!

I had the code laying around and drafted a PR #157, is this what you had in mind?

@jdtuck
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jdtuck commented Mar 13, 2024

Yes it is, made some comments on the PR

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Labels
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