Let X ~ n(,1). Let * be the Bayes estimator of for squared error loss. Compute

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Let X ~ n(μ,1). Let δ* be the Bayes estimator of μ for squared error loss. Compute and graph the risk functions, R(μ,δπ), for π(p) ~ n(0,1) and π(μ) ~ n(0,10). Comment on how the prior affects the risk function of the Bayes estimator.
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Statistical Inference

ISBN: 978-0534243128

2nd edition

Authors: George Casella, Roger L. Berger

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