A credibility estimate combines a risk's individual experience with population information. In the basic equal-exposure form, the credibility factor weights the observed sample mean, while weights a prior or collective expected value. The Bühlmann credibility premium is the best affine estimate under mean squared error; an exact Bayesian posterior mean can also have this form, as in the natural conjugate credibility identity.
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