<Table> <Tr> <Td> </Td> <Td> It has been suggested that Bayesian multivariate linear regression be merged into this article . (Discuss) Proposed since March 2016 . </Td> </Tr> </Table> <Tr> <Td> </Td> <Td> It has been suggested that Bayesian multivariate linear regression be merged into this article . (Discuss) Proposed since March 2016 . </Td> </Tr> <Table> <Tr> <Td> Part of a series on Statistics </Td> </Tr> <Tr> <Th> Bayesian statistics </Th> </Tr> <Tr> <Td> </Td> </Tr> <Tr> <Th> Theory </Th> </Tr> <Tr> <Td> <Ul> <Li> Admissible decision rule </Li> <Li> Bayesian efficiency </Li> <Li> Bayesian probability </Li> <Li> Probability interpretations </Li> <Li> Bayes' theorem </Li> <Li> Bayes' rule </Li> <Li> Bayes factor </Li> <Li> Bayesian inference </Li> <Li> Bayesian network </Li> <Li> Prior </Li> <Li> Posterior </Li> <Li> Likelihood </Li> <Li> Conjugate prior </Li> <Li> Posterior predictive </Li> <Li> Hyperparameter </Li> <Li> Hyperprior </Li> <Li> Principle of indifference </Li> <Li> Principle of maximum entropy </Li> <Li> Empirical Bayes method </Li> <Li> Cromwell's rule </Li> <Li> Bernstein--von Mises theorem </Li> <Li> Schwarz criterion </Li> <Li> Credible interval </Li> <Li> Maximum a posteriori estimation </Li> <Li> Radical probabilism </Li> </Ul> </Td> </Tr> <Tr> <Th> Techniques </Th> </Tr> <Tr> <Td> <Ul> <Li> Bayesian linear regression </Li> <Li> Bayesian estimator </Li> <Li> Approximate Bayesian computation </Li> </Ul> </Td> </Tr> <Tr> <Td> <Ul> <Li> Statistics portal </Li> </Ul> </Td> </Tr> <Tr> <Td> <Ul> <Li> </Li> <Li> </Li> <Li> </Li> </Ul> </Td> </Tr> </Table>

In bayesian linear regression prior can be used for regularization