According to Bayes' rule, how is the posterior probability related to the likelihood function and the prior probability?

Question

Answer

It is equal to the sum of the likelihood function and the prior probability.

Answer

It is proportional to the product of the likelihood function and the prior probability.

Answer

It is equal to the likelihood function divided by the prior probability.

Answer

It is equal to the prior probability divided by the likelihood function.

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