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Inference in Bayesian Networks - MIT OpenCourseWare
Lecture 16 • 24. Simple Case. B C D. Pr(d)= Pr(d | c) Pr(c | b) f. 1. B. ∑. C. ∑ (b) f. 2 (c) Now, we can substitute f1 of b in for the sum over A in our previous expression. And, effectively, we can remove node A from our diagram. Now, we express the contribution of b, which takes the contribution of a into account, as f_1 of b.
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