Solution

ID: past-exam-of-the-mathematics-course-of-the-university-of-cambridge/2019/ii/paper-3/28j/c/solution

The strong law of large numbers gives almost surely, and hence in probability. Therefore
by the continuous mapping theorem. Thus the Bayes estimator has consistency.
It differs from the maximum-likelihood estimator by
Since , the numerator is and the denominator is , so this difference is . The limit in part a and Slutsky theorem now give

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