Shrinkage Estimation Under Multivariate Elliptic Models
From MaRDI portal
Publication:2839070
DOI10.1080/03610926.2011.602492zbMath1319.62110OpenAlexW2001448759MaRDI QIDQ2839070
No author found.
Publication date: 4 July 2013
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2011.602492
quadratic losselliptically contoured distributionsbias and risk functionsHoteling's \(T^2\) statisticStein-type and positive-rule shrinkage estimators
Estimation in multivariate analysis (62H12) Ridge regression; shrinkage estimators (Lasso) (62J07) Point estimation (62F10)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Stein-type improvement under stochastic constraints: use of multivariate Student-\(t\) model in regression
- Estimation of error variance in linear regression models with errors having multivariate Student-\(t\) distribution with unknown degrees of freedom
- Improved variance estimation under sub-space restriction
- Stein estimation under elliptical distributions
- Pre-testing for linear restrictions in a regression model with spherically symmetric disturbances
- Pooling multivariate data
- On the Robustness of LM, LR, and W Tests in Regression Models
- The Structure of Simultaneous Equation Estimators: A Generalization Towards Nonnormal Disturbances
- Maximum-likelihood estimates and likelihood-ratio criteria for multivariate elliptically contoured distributions
- Robustness of the student t based M-estimator
- Comparison of estimators of means based on p-samples from multivariate student-t population
- Theory of Preliminary Test and Stein‐Type Estimation With Applications
- Estimation and decision for linear systems with elliptical random processes
- On Biases in Estimation Due to the Use of Preliminary Tests of Significance
This page was built for publication: Shrinkage Estimation Under Multivariate Elliptic Models