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).
인용 양식
Mo Chen (2026). Log Probability Density Function (PDF) (https://kr.mathworks.com/matlabcentral/fileexchange/55831-log-probability-density-function-pdf), MATLAB Central File Exchange. 검색 날짜: .
MATLAB 릴리스 호환 정보
개발 환경:
R2016a
모든 릴리스와 호환
플랫폼 호환성
Windows macOS Linux카테고리
- AI and Statistics > Statistics and Machine Learning Toolbox > Probability Distributions and Hypothesis Tests > Discrete Distributions > Multinomial Distribution >
- Sciences > Mathematics > Probability & Statistics > Probability Density Functions >
Help Center 및 MATLAB Answers에서 Multinomial Distribution에 대해 자세히 알아보기
태그
도움
logPdf/
| 버전 | 게시됨 | 릴리스 정보 | |
|---|---|---|---|
| 1.0.0.0 | update title |
