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Math and science::INF ML AI

Belief networks: independence examples




1 a) Marginalizing over \( C \)  makes \( A \) and \( B \) [...]

1 b) Conditioning on \( C \) makes A and B [...]


2. Conditioning on \(  D \), a descendent of a collider \( C \) makes \( A \) and \( B \)  [...]


3 a) \( p(A, B, C) = \) [...]

3 b) Marginalizing over \( C \) makes \( A \) and \( B \) [...]

3 c) Conditioning on \( C \) makes \( A \) and \( B \)  [...]

Finally, these following graphs all express the same conditional independence assumptions.