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How do you compute the risk function under squared loss of an estimator of the form

$\begin{align*} \hat{\mu}(x) &= \bar{x} + \left(1-\frac{k}{||x-\bar{x}||_2^2}\right)(x - \bar{x}) \end{align*}$

where $x \sim \mathcal{N}(\mu,I_n)$ (n > 2)?

Please note that my question is not how to write the risk function, but how to evaluate it.

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