causal networks.

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Across
  1. 3. Type of variable used to control hidden causation effects.
  2. 8. Symbol used for intervention, written as do(X=x).
  3. 10. Researcher who introduced modern causal inference (Judea __).
  4. 12. The study of cause-and-effect relationships.
  5. 15. Influence of a hidden variable affecting relationships.
  6. 16. Table that stores conditional probabilities for each node.
  7. 17. Forcing a variable to take a value in causal inference.
  8. 18. Structure of a causal network (Directed Acyclic Graph).
  9. 19. Criterion used to determine independencies in a causal network.
Down
  1. 1. A node that receives influence from a parent node.
  2. 2. A structure made of nodes and directed links.
  3. 4. Represents a variable in the causal network.
  4. 5. Refers to cause-and-effect relationships in networks.
  5. 6. Reasoning about what would have happened if conditions changed.
  6. 7. Visual representation of relationships among variables.
  7. 9. A directed line representing causal influence.
  8. 10. A cause node directly linked to a child node.
  9. 11. A node where two causal arrows meet.
  10. 13. A node influenced by another node in the network.
  11. 14. Related to nodes that appear as causes of another node.