KernelCondDensity
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.
Cita come
Alexander (2024). KernelCondDensity (https://www.mathworks.com/matlabcentral/fileexchange/54672-kernelconddensity), MATLAB Central File Exchange. Recuperato .
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- AI, Data Science, and Statistics > Statistics and Machine Learning Toolbox > Dimensionality Reduction and Feature Extraction >
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Versione | Pubblicato | Note della release | |
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1.0 |
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