KernelCondDensity
Multidimensional kernel density estimation with optimal and asymptotically optimal bandwidth choices
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Implements the Rosenblatt-Parzen density estimator for multidimensional domains. It can implement different bandwidth choices (Silverman plugin is asymptotically optimal, a leave one out estimator leads to a result which might be more appriate in smaller samples). There are several features implemented (bootstrapping, log likelihood calculations, etc). Please let me know if any mistakes show up.
Cite As
Alexander (2026). KernelCondDensity (https://in.mathworks.com/matlabcentral/fileexchange/54672-kernelconddensity), MATLAB Central File Exchange. Retrieved .
Categories
Find more on Dimensionality Reduction and Feature Extraction in Help Center and MATLAB Answers
General Information
- Version 1.0 (12.8 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0 |
|
