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Bayes' theorem

Updates a probability when you learn something new. History: published 1763 after Thomas Bayes's death.

How to work it out

  1. 1

    The statement:

    P(A∣B)=P(B∣A) P(A)P(B)P(A\mid B) = \frac{P(B\mid A)\,P(A)}{P(B)}
  2. 2

    Updates a probability when you learn something new.

  3. 3

    Below, the numbers in the table are computed by this site from the definition, not copied.

LaTeX source of the formulas on this page
\[ P(A\mid B) = \frac{P(B\mid A)\,P(A)}{P(B)} \]

A test that is 99% sensitive and 95% specific: chance of disease after a positive test (computed)

PrevalenceP(disease | positive)
0.1%1.9%
1%16.7%
5%51.0%
10%68.8%
50%95.2%

Questions

What is the bayes' theorem?

Updates a probability when you learn something new.

Who is the Bayes' theorem associated with?

Pierre-Simon Laplace.

People

More theorems

    Bayes' theorem: statement, example and proof idea | WordGPT