Shrinkage ridge regression in partial linear models

DOI10.1080/03610926.2014.955115zbMath1348.62146OpenAlexW2492428594MaRDI QIDQ2830190

Mohammad Arashi, Mahdi Roozbeh

Publication date: 9 November 2016

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2014.955115

zbMATH Keywords

ridge regressionmulticollinearitypartial linear modellinear restrictionpositive-rule shrinkageStein-type shrinkage

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Ridge regression; shrinkage estimators (Lasso) (62J07) Linear regression; mixed models (62J05)

Related Items (14)

Using Improved Robust Estimators to Semiparametric Model with High Dimensional Data ⋮ Identification for partially linear regression model with autoregressive errors ⋮ Efficiency of the generalized restricted difference-based almost unbiased ridge estimator in partially linear model ⋮ Double shrunken selection operator ⋮ Ridge estimation in semi-parametric regression models under the stochastic restriction and correlated elliptically contoured errors ⋮ Generalized difference-based weighted mixed almost unbiased liu estimator in semiparametric regression models ⋮ Improved mixed model for longitudinal data analysis using shrinkage method ⋮ Shrinkage Estimation Strategies in Generalised Ridge Regression Models: Low/High‐Dimension Regime ⋮ Uncertain stochastic ridge estimation in partially linear regression models with elliptically distributed errors ⋮ A generalized difference-based mixed two-parameter estimator in partially linear model ⋮ A partial-robust-ridge-based regression model with fuzzy predictors-responses ⋮ Difference-based matrix perturbation method for semi-parametric regression with multicollinearity ⋮ A generalized bridge regression in fuzzy environment and its numerical solution by a capable recurrent neural network ⋮ Improvement of generalized difference-based mixed Liu estimator in partially linear model

Cites Work

• Unnamed Item
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• Feasible ridge estimator in partially linear models
• Improving the estimators of the parameters of a probit regression model: a ridge regression approach
• Difference-based ridge estimator of parameters in partial linear model
• Difference based ridge and Liu type estimators in semiparametric regression models
• Preliminary test ridge regression estimators with Student's \(t\) errors and conflicting test-statis\-tics
• Estimation in partially linear models and numerical comparisons
• An elementary estimator of the partial linear model
• Consistent covariate selection and post model selection inference in semiparametric regression.
• A difference based approach to the semiparametric partial linear model
• Performance of Kibria's methods in partial linear ridge regression model
• Feasible Ridge Estimator in Seemingly Unrelated Semiparametric Models
• Ridge regression methodology in partial linear models with correlated errors
• Seemingly Unrelated Ridge Regression in Semiparametric Models
• On estimation of noise variance in two-dimensional signal processing
• On Some Ridge Regression Estimators: An Empirical Comparisons
• Two methods of evaluating hoerl and kennard's ridge regression
• 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
• On the almost unbiased generalized liu estimator and unbiased estimation of the bias and mse
• Semiparametric Regression for the Applied Econometrician
• Performance of Some New Ridge Regression Estimators
• Some Liu and ridge-type estimators and their properties under the ill-conditioned Gaussian linear regression model
• Using improved estimation strategies to combat multicollinearity
• Performance of Kibria's Method for the Heteroscedastic Ridge Regression Model: Some Monte Carlo Evidence
• Theory of Preliminary Test and Stein‐Type Estimation With Applications

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