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What is d-separation used for?

  • A.Separating the network into independent subnetworks for inference
  • B.Determining the order in which variables should be eliminated
  • C.Deciding which variables should be observed as evidence
  • D.Reading conditional independences off the network structure

Answer: D

The criterion examines the paths between two sets of nodes and determines, from the graph alone, whether they are conditionally independent given a third set. It is what allows the structure to be interpreted without consulting the numbers. Decomposition, elimination order and evidence selection are different tasks. A purely graphical test for a probabilistic property is what makes the network a genuine representation rather than a mere diagram.

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