Log Probability Density Function (PDF)
Directly computing pdf of distributions often leads to numerical underflow, especially when dealing with high dimensional data. Therefore, the pdf functions provided by Matlab is not very useful for real world problems.
This pack provides numerical stable pdf of popular distributions in log scale, which can be used as building blocks for probabilistic modeling.
Currently this package is now a part of the PRML toolbox (http://www.mathworks.com/matlabcentral/fileexchange/55826-pattern-recognition-and-machine-learning-toolbox).
Citation pour cette source
Mo Chen (2024). Log Probability Density Function (PDF) (https://www.mathworks.com/matlabcentral/fileexchange/55831-log-probability-density-function-pdf), MATLAB Central File Exchange. Récupéré le .
Compatibilité avec les versions de MATLAB
Plateformes compatibles
Windows macOS LinuxCatégories
- AI, Data Science, and Statistics > Statistics and Machine Learning Toolbox > Probability Distributions > Discrete Distributions > Multinomial Distribution >
- Sciences > Mathematics > Probability & Statistics > Probability Density Functions >
Tags
Remerciements
Inspiré par : Pattern Recognition and Machine Learning Toolbox
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Version | Publié le | Notes de version | |
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1.0.0.0 | update title |