P(A,B) = P(A|B)P(B) = P(B,A) = P(B|A)P(A)
P(A|B)P(B) = P(B|A)P(A)
P(A|B) = P(B|A)P(A) / P(B) # divide by P(B) on both sides
P(e|T) = P(T|event)P(event) / P(T)
P(A|B) is called the posterior
P(B|A) is called the likelihood
P(A) is called the prior
P(B) is called the marginal likelihood
https://towardsdatascience.com/what-is-bayes-rule-bb6598d8a2fd
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Monday, March 4, 2019
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