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### Is your feature request related to a problem? Please describe.
Currently, I'm not aware whether it's possible to add custom bandwidths for the KDE for histograms.
### Describe the solution you'd…
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I'd like to add KDE (kernel density estimation) functionality for the 1D and 2D histogram plotting functions, `hist`, `hist2d`, and maybe `hexbin`. Users can then optionally add marginal distribution …
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I see that h2o implements Naive Bayes. Nevertheless, it only assumes gaussian distribution for contiuous covariates. The klaR R package implements kernel density estimation for continuous covariate th…
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Y=F(Xi),i=1.2.3.4.5
pdf of Xi is known.Then how to construct PCE through samples of Xi and Y?
I have seen the Data Driven PCE in tourial of Kernel Density Estimation,is this accessiable?
The ge…
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Hello,
I appreciate the approach taken by this framework a lot, and I would like to implement it in my publications. However, I would prefer to use a sina plot instead of a beeswarm, as it has 2 ad…
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I have the following code for Parzen Density estimator using Gaussian kernel. It gives me similar but different elapsed time with @acc and without. How do I determine if the ParallelAccelerator is act…
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Is CUPY keen to include a kernel smoothing conditional distribution estimation routine? If so I will create a Pull Request.
Kernel smoothing is a nonparametric way of estimating (conditional) densi…
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Would there be any easy way to implement doing Kernel density estimation on transforms of variables? For example, I have a variable that is constrained to be between 0 and 1, it would be better for me…
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Bonjour.
En discutant avec C.H. Il a évoqué plusieurs fois la possibilité d'avoir la distribution des efforts.
_Les graphiques qui suivent sont obtenus à partir des données "23-05-31-Dalton-butt…
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The inverse distance weighted interpolation results in an 'empty' raster layer. It seems to me that the problem is that the attribute is `` (see screenshot). However, I did select the attribute column…