Minimax estimators that shift towards a hypersphere for location vectors of spherically symmetric distributions
Author:
Publisher
Elsevier BV
Subject
Statistics, Probability and Uncertainty,Numerical Analysis,Statistics and Probability
Reference6 articles.
1. Minimax estimation of location vectors for a wide class of densities;Berger;Ann. Statist.,1975
2. Employing vague inequality information in the estimation of normal mean vectors (estimators that shrink to closed convex polyhedra);Bock,1982
3. Minimax estimation of the mean of spherically symmetric distributions under general quadratic loss;Brandwein;J. Multivar. Anal.,1979
4. Minimax estimation of location parameters for spherically symmetric unimodal distributions;Brandwein;Ann. Statist.,1978
5. Minimax estimation of location parameters for spherically symmetric distributions with concave loss;Brandwein;Ann. Statist.,1980
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1. Estimating the Location Vector for Spherically Symmetric Distributions;Contemporary Experimental Design, Multivariate Analysis and Data Mining;2020
2. Spherically Symmetric Distributions;Springer Series in Statistics;2018
3. Bayes minimax estimators of the mean of a scale mixture of multivariate normal distributions;Journal of Multivariate Analysis;2008-01
4. Admissibility and minimaxity of generalized Bayes estimators for spherically symmetric family;Journal of Multivariate Analysis;2008-01
5. Estimating a general function of a quadratic function;Annals of the Institute of Statistical Mathematics;2006-07-20
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