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Älmost arbitrary" minimax estimators of location for independent component variance mixtures of normal variates, and . Statistics & Probability Letters, 7 (2): 131--133 (September 1988)Improved loss estimation for a normal mean matrix., and . J. Multivar. Anal., (2019)On efficient prediction and predictive density estimation for normal and spherically symmetric models., , and . J. Multivar. Anal., (2019)Statistical Analysis with Missing Data (Roderick J. A. Little and Donald B. Rubin).. SIAM Rev., 31 (2): 348-349 (1989)Bayes minimax estimation of the multivariate normal mean vector for the case of common unknown variance., , and . J. Multivar. Anal., 102 (9): 1256-1262 (2011)Confidence Distributions.. International Encyclopedia of Statistical Science, Springer, (2011)On the inevitability of a paradox in shrinkage estimation for scale mixtures of normals, , and . Journal of Statistical Planning and Inference, 121 (1): 37--51 (Mar 1, 2004)An extended class of minimax generalized Bayes estimators of regression coefficients., and . J. Multivar. Anal., 100 (10): 2155-2166 (2009)A characterization of the multivariate normal distribution and some remarks on linear estimators, , and . Journal of Statistical Planning and Inference, (1987)Stochastic domination in predictive density estimation for ordered normal means under α-divergence loss., and . J. Multivar. Anal., (2014)