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.

Sign up for GitHub

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

Update ges_basic_examples.md #161

Merged
merged 1 commit into from
Dec 7, 2024
Merged

Update ges_basic_examples.md #161

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion docs/src/examples/ges_basic_examples.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -52,7 +52,7 @@ For the data using this seed, both agree.
## Causal Zig-Zag

Instead of GES which greedily tries to maximize the BIC score, we can also sample the posterior distribution over CPDAGs corresponding to the BIC score. We have implemented the Causal Zig-Zag for this.
(See: M. Schauer, M. Wienöbst: Causal structure learning with momentum: Sampling distributions over Markov Equivalence Classes of DAGs. (https://doi.org/10.48550/arXiv.2310.05655))
(See: M. Schauer, M. Wienöbst: Causal structure learning with momentum: Sampling distributions over Markov Equivalence Classes. *Proceedings of The 12th International Conference on Probabilistic Graphical Models*, PMLR 246 (2024), 382-400. (https://proceedings.mlr.press/v246/schauer24a.html))


```
Expand Down
Loading