Causal Graphical Models
The Causal Graphical Model is used to build pretty looking DAGs given the relationship in the form of sets. The model can also be used to get the various relationships between the vertices of the graph and also generate a list of backdoor paths that are valid and can be used in the backdoor adjustment formula while trying to find the relationship between 2 variables.
We have built a collab notebook for you to experiment with building DAGs and to visualize backdoor paths.
Examples: Causal Graphical Models
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