Bayesian Multivariate Linear Regression Algorithm: Difference between revisions

Latest revision as of 01:44, 27 February 2024

(Wikipedia, 2014) ⇒ http://en.wikipedia.org/wiki/Bayesian_multivariate_linear_regression Retrieved:2014-11-13.
- In statistics, Bayesian multivariate linear regression is a
  Bayesian approach to multivariate linear regression, i.e. linear regression where the predicted outcome is a vector of correlated random variables rather than a single scalar random variable. A more general treatment of this approach can be found in the article MMSE estimator.

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 === 2014 ===
 * (Wikipedia, 2014) ⇒ http://en.wikipedia.org/wiki/Bayesian_multivariate_linear_regression Retrieved:2014-11-13.
-** In [[statistics]], '''Bayesian multivariate linear regression</B> is a         <P>        [[Bayesian]] approach to [[multivariate linear regression]], i.e. [[linear regression]] where the predicted outcome is a vector of correlated [[random variable]]s rather than a single scalar random variable. A more general treatment of [[this approach]] can be found in the article [[MMSE estimator]].
+** In [[statistics]], '''Bayesian multivariate linear regression</B> is a         <P>          [[Bayesian]] approach to [[multivariate linear regression]], i.e. [[linear regression]] where the predicted outcome is a vector of correlated [[random variable]]s rather than a single scalar random variable. A more general treatment of [[this approach]] can be found in the article [[MMSE estimator]].
 === 2013 ===