1, showing in some cases, inevitably for large enough d, that all choices c>1 are dominating estimators. Extensions are obtained for scale mixture of normals including a general inadmissibility result of the MRE estimator for d≥3.
Keywords: Concave loss; Convolutions; Dominance; Frequentist risk; Inadmissibility; Integrated squared error; Minimax; Minimum risk equivariant; Loss function; Multivariate normal; Predictive density; Restricted parameter space; Scale mixture of normals; Stein estimation (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:eee:jmvana:v:142:y:2015:i:c:p:57-74
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DOI: 10.1016/j.jmva.2015.07.013
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