KernelCondDensity
Version 1.0 (12.8 KB) by
Alexander
Multidimensional kernel density estimation with optimal and asymptotically optimal bandwidth choices
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 (2024). KernelCondDensity (https://www.mathworks.com/matlabcentral/fileexchange/54672-kernelconddensity), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
Created with
R2014b
Compatible with any release
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- AI, Data Science, and Statistics > Statistics and Machine Learning Toolbox > Dimensionality Reduction and Feature Extraction >
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