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10.3: Appendix

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    Proof (Derivation of Bayes’ rule). First, remember the rule for computing a conditional probability:

    P(A|B)=P(A∩B)P(B) P(A|B) = \frac{P(A \cap B)}{P(B)}

    We can rearrange this to get the formula to compute the joint probability using the conditional:

    P(A∩B)=P(A|B)*P(B) P(A \cap B) = P(A|B) * P(B)

    Using this we can compute the inverse probability:

    P(B|A)=P(A∩B)P(A)=P(A|B)*P(B)P(A) P(B|A) = \frac{P(A \cap B)}{P(A)} = \frac{P(A|B)*P(B)}{P(A)}

    This page titled 10.3: Appendix is shared under a not declared license and was authored, remixed, and/or curated by Russell A. Poldrack via source content that was edited to the style and standards of the LibreTexts platform; a detailed edit history is available upon request.