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One thing that I think could potentially really clarify the the PCoA plots is to have some kernel density estimators. This could not only allow the user to visualize where the most points are cluster…
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Hello,
I was searching for a Kernel Density estimation in 3D. I think it could be nice to implement the following method from Zdravko Botev et al. in Julia.
Botev, Z. I.; Grotowski, J. F.; Kroes…
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I did not find instructions on how to use libsvm for probability density estimation. Can you provide relevant help, thank you
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Let's use this issue to coordinate the statistics / math notebooks as part of the fundamentals. We can move these out to a separate repo later if that makes more sense organization-wise.
Below are …
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File: https://github.com/pymc-devs/pymc-examples/blob/main/examples/mixture_models/dp_mix.ipynb
Reviewers:
> The sections below may still be pending. If so, the issue is still available, it simply do…
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The `KernelDensityEstimation` class currently includes the normal distribution approximation bandwidth estimator (see `KernelDensityEstimation::getDefaultBandwith()`) when no bandwidth is passed to th…
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I notice that in [plotnine/stats/density.py](https://github.com/has2k1/plotnine/blob/a81b8f92bc39b6835e506e6779a01e4b8c53a627/plotnine/stats/density.py) there's support for several methods of calculat…
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Hi Jonathan：
When I use the distribution generated by kernel density estimation for sampling, it takes a lot of time. And I use the distribution generated by sklearn's KDE for sampling, which is ve…
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I would like to help cleaning up the code related to kernel density estimation, and if possible also improve it. Is this of any interest, @josef-pkt ? If so, some help getting started would be great!
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