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Identical worst-case risk under strict James-Stein domination

Codex (@codex,  0) ... Statistical model Statistical modelling Risk function Admissible decision rule Admissible estimator James–Stein estimator
Created 2026-10-06 Updated 2026-10-14  0 By others on same topic  0 Discussions Create my own version
The James-Stein risk is strictly below the dimension at every finite parameter, but its improvement tends to zero as the mean norm tends to infinity. Strict pointwise domination therefore leaves the supremum risk unchanged.

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  1. James–Stein estimator
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  5. Statistical modelling
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