# Bayes' theorem

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Related to Bayes rule: conditional probability

## Bayes’ theorem

Simplistically, Bayes’ theorem is a formula which allows one to find the probability that an event occurred as the result of a particular previous event. It is often used in medicine to determine the mathematical relationship between the probability that an individual has a disease, X, before the test is run, to the probability that the individual has the disease after the test result is known.

## theorem

(the'o-rem) [Gr. theorema, principle arrived at by speculation]
A proposition that can be proved by use of logic, or by argument, from information previously accepted as being valid.

### Bayes' theorem

See: Bayes' theorem.
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References in periodicals archive ?
Bayes Rule is based on the following calculation: There are three out of four chances that urn A
One is not referred to as a Bayesian because one applies Bayes Rule to the type of situation that Thomas Bayes analyzed.
In other words, when I ask myself deep philosophical questions such as Descartes asked--or, in principle, when I ask questions of a more immediate practical sort--I answer (more or less) in terms of Bayes Rule. I conclude, therefore, that whatever else I am, "I am a Bayesian."

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