Bayes' theorem en · PROPN
Etymology
Named after English mathematician Thomas Bayes (1701–1761), who developed an early formulation. The modern expression of the theorem is due to Pierre-Simon Laplace, who extended Bayes's work but was apparently unaware of it.
Meanings
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A theorem expressed as an equation that describes the conditional probability of an event or state given prior knowledge of another event.
Bayes's theorem is a relationship between the conditional probabilities of two events.
2011, Allen Downey, Think Stats, O'Reilly, page 56:The starting point for many techniques in probabilistic classification is Bayes' theorem, which provides a way of relating evidence to a hypothesis.
2010, Jonathan Harrington, Phonetic Analysis of Speech Corpora, page 327:We have now seen how Bayes' theorem enables us to correctly update a prior probability for some unknown event when we see evidence about the event.
2013, Norman Fenton, Martin Neil, Risk Assessment and Decision Analysis with Bayesian Networks, Taylor & Francis (CRC Press), page 131:
Forms
| Spelling | Features | Labels | Source |
|---|---|---|---|
| Bayes theorem | alternative | lexicographic | |
| Bayes's theorem | alternative | lexicographic |
Relateds
posterior probability · Bayesian · posteriors · Laplacean · prior probability · conditional probability · priors