Robustness of Stein-type estimators under a non-scalar error covariance structure
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Publication:1036802
DOI10.1016/j.jmva.2009.03.010zbMath1175.62074OpenAlexW2055857388MaRDI QIDQ1036802
Alan T. K. Wan, Ti Chen, Xinyu Zhang, Guo Hua Zou
Publication date: 13 November 2009
Published in: Journal of Multivariate Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jmva.2009.03.010
Asymptotic properties of parametric estimators (62F12) Estimation in multivariate analysis (62H12) Ridge regression; shrinkage estimators (Lasso) (62J07) Linear regression; mixed models (62J05)
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Cites Work
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- On the sensitivity of the one-sided \(t\) test to covariance misspecification
- Inadmissibility of the Stein-rule estimator under the balanced loss function
- The sensitivity of OLS when the variance matrix is (partially) unknown
- Improved prediction in the presence of multicollinearity
- Improved multivariate prediction in a general linear model with an unknown error covariance matrix.
- On the sensitivity of the usual \(t\)- and \(F\)-tests to covariance misspecification
- The exact distribution of the Stein-rule estimator
- PMSE performance of the Stein-rule and positive-part Stein-rule estimators in a regression model with or without proxy variables
- Unbiased estimation of the MSE matrices of improved estimators in linear regression
- Local sensitivity and diagnostic tests
- On the Sampling Performance of an Improved Stein Inequality Restricted Estimator
- James-Stein-Type Estimators in Large Samples With Application to the Least Absolute Deviations Estimator
- PMSE PERFORMANCE OF THE BIASED ESTIMATORS IN A LINEAR REGRESSION MODEL WHEN RELEVANT REGRESSORS ARE OMITTED
- SEPARATE VERSUS SYSTEM METHODS OF STEIN-RULE ESTIMATION IN SEEMINGLY UNRELATED REGRESSION MODELS
- A Family of Minimax Estimators of the Mean of a Multivariate Normal Distribution
- On the sensitivity of the restricted least squares estimators to covariance misspecification
- Accurate Ranking of Differentially Expressed Genes by a Distribution-Free Shrinkage Approach
- On the Continuity of the Generalized Inverse
- Double \(k\)-class estimators in regression models with non-spherical disturbances