Collider

From Machinelearning
Revision as of 22:15, 2 June 2018 by IssaRice (talk | contribs)

In causal graphs, a collider is a node along a path where both directed edges of the node point to the node.

Colliders are interesting because conditioning on a collider can make two unconditionally independent variables conditionally dependent. The example that I have seen Pearl give is two coin flips (independent) and a bell that rings if the two coins land on the same side. The coin flips are unconditionally independent, but conditioning on whether you hear the bell makes the coin flips dependent.

Examples

  • In the path XYZW, the node Z is a collider because the two directed edges of Z both point to it.

See also