Multiplying the exponential family likelihood by its natural conjugate prior gives
(1)
Thus the posterior remains in the same family, with updated hyperparameters
(2)
Under quadratic loss, the Bayes estimator under squared error loss is the posterior mean. Differentiating the log-partition function that normalizes the conjugate prior gives
(3)

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