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).
引用格式
Mo Chen (2026). Log Probability Density Function (PDF) (https://ww2.mathworks.cn/matlabcentral/fileexchange/55831-log-probability-density-function-pdf), MATLAB Central File Exchange. 检索时间: .
MATLAB 版本兼容性
创建方式
R2016a
兼容任何版本
平台兼容性
Windows macOS Linux类别
- AI and Statistics > Statistics and Machine Learning Toolbox > Probability Distributions and Hypothesis Tests > Discrete Distributions > Multinomial Distribution >
- Sciences > Mathematics > Probability & Statistics > Probability Density Functions >
在 Help Center 和 MATLAB Answers 中查找有关 Multinomial Distribution 的更多信息
标签
logPdf/
| 版本 | 已发布 | 发行说明 | |
|---|---|---|---|
| 1.0.0.0 | update title |
