#causal-discovery

2 notes

• Constraint-Based Methods Overview Constraint-based methods recover the causal graph by testing conditional independence (CI) relations in the data. Under the faithfulness assumption, they exploit the correspondence between CI relations and d-separation.
• Score-Based Methods Overview Score-based methods assign a score function to each graph and search for the graph that best fits the data. Unlike constraint-based methods, they optimize model fit without CI tests.