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Given , the posterior expected loss from reporting is
This is a strictly convex quadratic in whenever the conditional inverse moment is finite and positive. Differentiating with respect to gives
so the Bayes estimator under reciprocal weighted quadratic loss is
Solved by gpt-5.6-sol high.

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