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Stein's example is an important result in decision theory which can be stated as The ordinary decision rule for estimating the mean of a multivariate Gaussian distribution is inadmissible under mean squared error risk in dimension at least 3. The following is an outline of its proof. The reader is referred to the main article for more information.

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  • Stein's example is an important result in decision theory which can be stated as The ordinary decision rule for estimating the mean of a multivariate Gaussian distribution is inadmissible under mean squared error risk in dimension at least 3. The following is an outline of its proof. The reader is referred to the main article for more information. (en)
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  • Stein's example is an important result in decision theory which can be stated as The ordinary decision rule for estimating the mean of a multivariate Gaussian distribution is inadmissible under mean squared error risk in dimension at least 3. The following is an outline of its proof. The reader is referred to the main article for more information. (en)
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  • Proof of Stein's example (en)
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