The missing variance

Topic: Bayesian foundations · more questions on this topic
‹ Prediction is not estimation Posterior mean under squared-error loss ›

Starting from the law of total variance, derive Equation (3) in Bayesian foundations. Identify exactly which term is lost when p(\widetilde x\mid x) is replaced by p(\widetilde x\mid\widehat\theta).

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