Suppose has the prior distribution , and let the “data” consist of the univariate linear regression estimates, . Then the posterior for given is also normal, where [41]. A natural estimator for is therefore the posterior mean for which and . Since all effects are shrunk by the same factor it follows that this approach leads to the same power and correlation as the linear regression estimator , but the mean square error is reduced to .
