artificial intelligence - Simple Bayesian Network causal independence -


Enter the code here I'm trying to answer:

< P> p (b | a = f) = 0.8 (b | a = t) = 0.7

p (a) = 0.5

p (b | a = t) = 0.7

then p (a | b) =?

Thank you!

You apply the first bayus rule and you receive:

  P (A | B) = P (A) * P (B | A) / P (B)  (  (A) * P (B | A) / (sum_ {a} p (b) * p (a))  

By using this formula you can easily ease the P Can calculate (A = A | B = B).


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