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What is the Markov blanket of a node?

  • A.Its parents, its children and its children's other parents
  • B.The set of nodes directly connected to it by an edge
  • C.The nodes lying on any path between it and the evidence
  • D.The nodes whose values are known when inference begins

Answer: A

Given its blanket, a node is conditionally independent of every other node in the network, which is why the blanket is exactly what a local sampling algorithm needs. Children's other parents are included because observing a child makes its parents dependent. Adjacency alone omits them, and the other options describe different sets. A set that screens a variable off from everything else is what makes local computation sound in a global model.

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