A data-driven estimator is shown to asymptotically achieve the minimum mean squared error among all separable rules for estimating normal means with independent side information.
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Simultaneous estimation of normal means with side information
A data-driven estimator is shown to asymptotically achieve the minimum mean squared error among all separable rules for estimating normal means with independent side information.