Empirical Bayes estimates for a two-way cross-classified model
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[1] L. Brown,et al. Empirical Bayes estimates for a two-way cross-classified model , 2018, The Annals of Statistics.
[2] S. Kou,et al. Optimal shrinkage estimation in heteroscedastic hierarchical linear models , 2015, 1503.06262.
[3] Zhiqiang Tan,et al. Steinized empirical bayes estimation for heteroscedastic data , 2016 .
[4] Murat A. Erdogdu,et al. Flexible results for quadratic forms with applications to variance components estimation , 2015, 1509.04388.
[5] Ludwig Fahrmeir,et al. Regression: Models, Methods and Applications , 2013 .
[6] Emmanuel J. Candès,et al. Unbiased Risk Estimates for Singular Value Thresholding and Spectral Estimators , 2012, IEEE Transactions on Signal Processing.
[7] Lee H. Dicker,et al. Optimal equivariant prediction for high-dimensional linear models with arbitrary predictor covariance , 2013 .
[8] Lawrence D. Brown,et al. SURE Estimates for a Heteroscedastic Hierarchical Model , 2012, Journal of the American Statistical Association.
[9] J. S. Rao,et al. Best Predictive Small Area Estimation , 2011 .
[10] John K Kruschke,et al. Bayesian data analysis. , 2010, Wiley interdisciplinary reviews. Cognitive science.
[11] A. Gelman. Analysis of variance: Why it is more important than ever? , 2005, math/0504499.
[12] I. Johnstone,et al. Needles and straw in haystacks: Empirical Bayes estimates of possibly sparse sequences , 2004, math/0410088.
[13] Mark Von Tress,et al. Generalized, Linear, and Mixed Models , 2003, Technometrics.
[14] Harvey Goldstein,et al. Multilevel modelling of medical data , 2002, Statistics in medicine.
[15] Susanna Zaccarin,et al. Multilevel analysis in social research: An application of a cross-classified model , 2002 .
[16] I. Johnstone,et al. Wavelet Shrinkage: Asymptopia? , 1995 .
[17] H. Goldstein,et al. Efficient Analysis of Mixed Hierarchical and Cross-Classified Random Structures Using a Multilevel Model , 1994 .
[18] C. Stein,et al. Estimation with Quadratic Loss , 1992 .
[19] P. Sen,et al. Sequential Shrinkage Estimation , 1987 .
[20] Ker-Chau Li,et al. Asymptotic optimality of CL and generalized cross-validation in ridge regression with application to spline smoothing , 1986 .
[21] Barbara Entwisle,et al. Contextual analysis through the multilevel linear model. , 1983 .
[22] Samuel D. Oman,et al. Shrinking Towards Subspaces in Multiple Linear Regression , 1982 .
[23] Norman R. Draper,et al. Ridge Regression and James-Stein Estimation: Review and Comments , 1979 .
[24] D. Harville. Maximum Likelihood Approaches to Variance Component Estimation and to Related Problems , 1977 .
[25] J. Rolph. Choosing shrinkage estimators for regression problems , 1976 .
[26] B. Efron,et al. Stein's Estimation Rule and Its Competitors- An Empirical Bayes Approach , 1973 .
[27] D. Lindley,et al. Bayes Estimates for the Linear Model , 1972 .
[28] B. Efron,et al. Empirical Bayes on vector observations: An extension of Stein's method , 1972 .
[29] Stanley L. Sclove,et al. Improved Estimators for Coefficients in Linear Regression , 1968 .
[30] C. Stein. Confidence Sets for the Mean of a Multivariate Normal Distribution , 1962 .