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).
Citar como
Mo Chen (2024). Log Probability Density Function (PDF) (https://www.mathworks.com/matlabcentral/fileexchange/55831-log-probability-density-function-pdf), MATLAB Central File Exchange. Recuperado .
Compatibilidad con la versión de MATLAB
Compatibilidad con las plataformas
Windows macOS LinuxCategorías
- AI and Statistics > Statistics and Machine Learning Toolbox > Probability Distributions > Discrete Distributions > Multinomial Distribution >
- Sciences > Mathematics > Probability & Statistics > Probability Density Functions >
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Inspirado por: Pattern Recognition and Machine Learning Toolbox
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1.0.0.0 | update title |