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Identical worst-case risk under strict James-Stein domination
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Statistical model
Statistical modelling
Risk function
Admissible decision rule
Admissible estimator
James–Stein estimator
Created
2026-10-06
Updated
2026-10-14
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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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James–Stein estimator
Admissible estimator
Admissible decision rule
Risk function
Statistical modelling
Statistical model
Probability and statistics
Area of mathematics
Mathematics
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