PPT Slide

Bayes’ Theorem

P(X|Z,I) = P(X|I) P(Z|X,I) / P(Z|I)

• I is the prior information

• P(X|I) is the prior probability of X conditioned on the prior information, I

• P(Z|X,I) is the likelihood of observing Z, given X and the prior information, I.

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