Definition and Use
D-separation is used in Bayes Nets. In a system with multiple random variables, we want to know the conditionally independent of event A and B given the condition that other variables are observed.
Example:
- Medical Scenario: Relationships (causes, effects) between diseases and symptoms.
"Given a Bayes Net and a subset of nodes (C, D) that are observed, is it guaranteed that (A) and (B) are conditionally independent of each other."
A ⊥ B | C, D
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