Bayesian refers to methods in probability and statistics named after the Reverend Thomas Bayes (ca. 1702–1761), in particular methods related to:
- the degree-of-belief interpretation of probability, as opposed to frequency or proportion or propensity interpretations; or
- Bayes' theorem on conditional probability.
These methods include:
- Bayes estimator
- Bayes factor
- Bayesian spam filtering
- Bayesian game
- Bayesian inference
- Bayesian information criterion
- Bayesian linear regression
- Bayesian model comparison
- Bayesian network
- Bayesian probability
- Empirical Bayes method
- Naive Bayes classifier
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