A nonlinear mixed–integer programming approach for variable selection in linear regression model

Ridge regression and its applications in genetic studies

(2021) M. Arashi et al.   PLoS One

Penalized regression via the restricted bridge estimator

(2021) Bahadır Yüzbaşı et al.   Soft Computing

Shrinkage Estimation Strategies in Generalised Ridge Regression Models: Low/High‐Dimension Regime

(2020) Bahadır Yüzbaşı et al.   INTERNATIONAL STATISTICAL REVIEW

A heuristic approach to combat multicollinearity in least trimmed squares regression analysis

(2018) Mahdi Roozbeh et al.   APPLIED MATHEMATICAL MODELLING

Optimal QR-based estimation in partially linear regression models with correlated errors using GCV criterion

(2018) Mahdi Roozbeh   COMPUTATIONAL STATISTICS & DATA ANALYSIS

A revised Cholesky decomposition to combat multicollinearity in multiple regression models

(2017) Saman Babaie-Kafaki et al.   JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION

Generalized difference-based weighted mixed almost unbiased ridge estimator in partially linear models

(2017) Fikri Akdeniz et al.   STATISTICAL PAPERS

Some improved estimation strategies in high-dimensional semiparametric regression models with application to riboflavin production data

(2016) M. Arashi et al.   STATISTICAL PAPERS

Shrinkage ridge estimators in semiparametric regression models

(2015) Mahdi Roozbeh   JOURNAL OF MULTIVARIATE ANALYSIS

High-Dimensional Statistics with a View Toward Applications in Biology

(2014) Peter Bühlmann et al.   Annual Review of Statistics and Its Application

Estimation in high-dimensional linear models with deterministic design matrices

(2012) Jun Shao et al.   ANNALS OF STATISTICS

A Simulation Study on Some Restricted Ridge Regression Estimators

(2012) S. Najarian et al.   COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION

Restricted Ridge Estimators of the Parameters in Semiparametric Regression Model

(2011) F[idot]kr[idot] Akden[idot]z et al.   COMMUNICATIONS IN STATISTICS-THEORY AND METHODS

Ridge Estimation under the Stochastic Restriction

(2011) M. Hassanzadeh Bashtian et al.   COMMUNICATIONS IN STATISTICS-THEORY AND METHODS

Difference based ridge and Liu type estimators in semiparametric regression models

(2011) Esra Akdeniz Duran et al.   JOURNAL OF MULTIVARIATE ANALYSIS

Some Liu and ridge-type estimators and their properties under the ill-conditioned Gaussian linear regression model

(2011) B. M. Golam Kibria   JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION

Nearly unbiased variable selection under minimax concave penalty

(2010) Cun-Hui Zhang   ANNALS OF STATISTICS

p-Values for High-Dimensional Regression

(2010) Nicolai Meinshausen et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Forward Regression for Ultra-High Dimensional Variable Screening

(2010) Hansheng Wang   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

The sparsity and bias of the Lasso selection in high-dimensional linear regression

(2008) Cun-Hui Zhang et al.   ANNALS OF STATISTICS

Difference-based ridge estimator of parameters in partial linear model

(2008) Gülin Tabakan et al.   STATISTICAL PAPERS