The fundamental relationship in Bayes' Theorem states that the Posterior is proportional to which two components multiplied together?
Answer
Prior times Likelihood
The fundamental relationship is stated as Posterior $\propto$ Prior $\times$ Likelihood, meaning the updated belief is directly influenced by the initial belief weighted by how well the data supports various hypotheses.
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