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in Data Science by Wooden (1,460 points)
What is the Causal Markov Condition when using DAGs?

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by Wooden (1,460 points)
 
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A DAG over $V$ and a probability distribution $P(V)$ satisfy the Causal Markov Condition if and only if

  • $G$ is a causal graph
  • $P(V)$ is generated by the structure represented by $G$
  • $G$ and $P(V)$ satisfy the Markov Condition
by Wooden (1,460 points)
0 0
Formally, it says that subject to the set of all its direct causes, a node is independent of all the variables which are not direct causes or direct effects of that node.

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