Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Causal Structure Learning when Data is not Independent and Identically Distributed (non-IID) #36

Open
YUYING07 opened this issue Sep 19, 2023 · 1 comment

Comments

@YUYING07
Copy link

treatment and outcome should be causal inference. There are many more non-iid related algorithms in causal discovery, such as those mentioned in this post https://sadhik9.people.uic.edu/shishir_wcp20.pdf, and I wonder if you'll be adding to this section subsequently.

@rguo12
Copy link
Owner

rguo12 commented Sep 20, 2023

Hi,

Thanks for the suggestion. I wonder if you can add those and create a pull request.

Best,

RC

Repository owner deleted a comment from YUYING07 Jan 22, 2024
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants