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 average
- Bayesian spam filtering
- Bayesian game
- Bayesian inference
- Bayesian information criterion
- Bayesian multivariate linear regression
- Bayesian linear regression, a special case
- Bayesian network
- Bayesian probability
- Empirical Bayes method
- Naive Bayes classifier
Bayesian also refers to the application of this probability theory to the functioning of the brain
 |
This disambiguation page lists articles associated with the same title. If an internal link led you here, you may wish to change the link to point directly to the intended article. |
This entry is from Wikipedia, the leading user-contributed encyclopedia. It may not have been reviewed by professional editors (see full disclaimer)
