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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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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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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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part of #7338
beta, gamma, invgauss and recipinvgauss kernels can be obtained through sccipy's distributions, with appropriate parameterization.
Birnbaum-Saunders (fatiguelife) should also be pos…
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(As mentioned in a few places: #948, #943, #791.)
We can look at https://github.com/uwdata/fast-kde/ for speed, and https://observablehq.com/@d3/kernel-density-estimation for a more straightforward…
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Not really an issue, as I don't use `mgwr` (or haven't yet), more a question.
Are the constant scale factors applied to the kernel functions in `_kernel_funcs(self, zs)` [here](https://github.com/…
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### Describe the bug
I have met an issue when using the class ```sklearn.neighbors.KernelDensity```. The **kernel density estimation (KDE)** works unusually when the kernel width is very small (les…
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**Is your feature request related to a problem? Please describe.**
Mean-shift clustering is a common mode/peak-finding method on imaging and other data, common in classical computer vision problems. …
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### Issues Found
I was trying to run the **05.13-Kernel-Density-Estimation.ipynb** notebook and found multiple issues:
* `AttributeError: Unknown property normed` - when running plots this error cro…