On the ridge regression estimator with sub-space restriction
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Publication:4605263
DOI10.1080/03610926.2017.1285928zbMath1462.62177OpenAlexW2584354407MaRDI QIDQ4605263
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Publication date: 21 February 2018
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2017.1285928
elliptically contoured distributionshrinkage estimatorlinear regression modelridge estimatorrestricted estimatorapproximate risk
Ridge regression; shrinkage estimators (Lasso) (62J07) Bayesian inference (62F15) Characterization and structure theory for multivariate probability distributions; copulas (62H05)
Related Items (5)
Ridge estimation in semi-parametric regression models under the stochastic restriction and correlated elliptically contoured errors ⋮ Uncertain stochastic ridge estimation in partially linear regression models with elliptically distributed errors ⋮ A nonlinear mixed–integer programming approach for variable selection in linear regression model ⋮ The stochastic restricted ridge estimator in generalized linear models ⋮ Iterative restricted OK estimator in generalized linear models and the selection of tuning parameters via MSE and genetic algorithm
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Improving the estimators of the parameters of a probit regression model: a ridge regression approach
- Preliminary test ridge regression estimators with Student's \(t\) errors and conflicting test-statis\-tics
- Estimation in restricted regression model with multivariate-\(t\) distributed error
- The distribution of Hermitian quadratic forms in elliptically contoured random vectors
- Shrinkage ridge estimators in semiparametric regression models
- Improved ridge regression estimators for the logistic regression model
- Bayesian Statistical Inference For Laplacian Class of Matrix Variate Elliptically Contoured Models
- Assessing Influence in Multiple Linear Regression with Incomplete Data
- On some ridge regression estimators: a nonparametric approach
- Estimation of the Mean Vector of a Multivariate Elliptically Contoured Distribution
- On preliminary test ridge regression estimators for linear restrictions in a regression model with non-normal disturbances
- Subjective Bayesian Analysis of the Elliptical Model
- Liu-type estimator in semiparametric regression models
- Ridge regression:some simulations
- A new estimator combining the ridge regression and the restricted least squares methods of estimation
- Performance of some new preliminary test ridge regression estimators and their properties
- MORE ON THE PRE-TEST ESTIMATOR IN RIDGE REGRESSION
- THE EXAMINATION AND ANALYSIS OF RESIDUALS FOR SOME BIASED ESTIMATORS IN LINEAR REGRESSION
- Performance of Some New Ridge Regression Estimators
- A generalized class of shrinkage estimators in linear regression when disturbances are not normal
- Some Liu and ridge-type estimators and their properties under the ill-conditioned Gaussian linear regression model
- Multivariate elliptically contoured autoregressive process
- Singular Ridge Regression With Stochastic Constraints
- Theory of Preliminary Test and Stein‐Type Estimation With Applications
- Ridge Regression: Biased Estimation for Nonorthogonal Problems
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