Causal Polytree ---Pearl's classical algorithm(1988)
As a famous sub-structure of Bayesian network, causal polytree is able to recover the causality very efficiently.
Here, I implement pearl's classical algorithm here for easy using. Details can be seen in Pearl's paper[1].
To recover general Causal polytree, one can download "Fisher's exact test" in my space for conditional independence test.
One can start from ControlCenter.m, I add a simple example there for better understanding.
If there is any question, just let me know, I will response to you as soon as possible.
[1] G. Rebane, J. Pearl, The recovery of causal poly-trees from statistical data, in: Proceedings of the Third Conference on Uncertainty Artificial Intelligence, Seattle, Washington, 1987, pp. 222–228
Citar como
Guangdi Li (2024). Causal Polytree ---Pearl's classical algorithm(1988) (https://www.mathworks.com/matlabcentral/fileexchange/26489-causal-polytree-pearl-s-classical-algorithm-1988), MATLAB Central File Exchange. Recuperado .
Compatibilidad con la versión de MATLAB
Compatibilidad con las plataformas
Windows macOS LinuxCategorías
Etiquetas
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!Descubra Live Editor
Cree scripts con código, salida y texto formateado en un documento ejecutable.