Bayes estimates as expanders in one and two dimensions

DOI10.1016/S0378-3758(01)00301-9zbMath1032.62053MaRDI QIDQ1869122

Anirban DasGupta, Herman Rubin

Publication date: 9 April 2003

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

zbMATH Keywords

spherically symmetricsymmetricpriorsmultivariate normalsupremumBayes estimatesmarginal

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Bayesian inference (62F15) Bayesian problems; characterization of Bayes procedures (62C10)

Related Items

Expansion estimation by Bayes rules

Cites Work

• Minimax estimators that shift towards a hypersphere for location vectors of spherically symmetric distributions
• Robust shrinkage estimators of the location parameter for elliptically symmetric distributions
• Minimax estimation of the mean of spherically symmetric distributions under general quadratic loss
• Some remarks on uniform asymptotic expansions for Bessel functions
• Stein estimation: The spherically symmetric case
• Minimax estimation of location parameters for certain spherically symmetric distributions
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