Bayesian

From Wikipedia, the free encyclopedia

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

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.