Semiparametric Ridge Regression Approach in Partially Linear Models. - Mahdi Roozbeh; Mohammad Arashi; H. A. Niroumand (Commun. Stat. Simul. Comput., 2010)

Feasible ridge estimator in partially linear models. - Mahdi Roozbeh; Mohammad Arashi (J. Multivar. Anal., 2013)

Feasible Ridge Estimator in Seemingly Unrelated Semiparametric Models. - Mahdi Roozbeh; Mohammad Arashi (Commun. Stat. Simul. Comput., 2014)

Shrinkage estimation in system regression model. - Mohammad Arashi; Mahdi Roozbeh (Comput. Stat., 2015)

Optimal partial ridge estimation in restricted semiparametric regression models. - Morteza Amini; Mahdi Roozbeh (J. Multivar. Anal., 2015)

Shrinkage ridge estimators in semiparametric regression models. - Mahdi Roozbeh (J. Multivar. Anal., 2015)

New Ridge Regression Estimator in Semiparametric Regression Models. - Mahdi Roozbeh; Mohammad Arashi (Commun. Stat. Simul. Comput., 2016)

Robust ridge estimator in restricted semiparametric regression models. - Mahdi Roozbeh (J. Multivar. Anal., 2016)

A fuzzy robust regression approach applied to bedload transport data. - Jalal Chachi; Mahdi Roozbeh (Commun. Stat. Simul. Comput., 2017)

Feasible robust estimator in restricted semiparametric regression models based on the LTS approach. - Mahdi Roozbeh; Nor Aishah Hamzah (Commun. Stat. Simul. Comput., 2017)

Optimal QR-based estimation in partially linear regression models with correlated errors using GCV criterion. - Mahdi Roozbeh (Comput. Stat. Data Anal., 2018)

Improving the prediction performance of the LASSO by subtracting the additive structural noises. - Morteza Amini; Mahdi Roozbeh (Comput. Stat., 2019)

Intuitionistic Fuzzy Partial Logistic Regression Model Using Ridge Methodology. - Gholamreza Hesamian; Mohammad Ghasem Akbari; Mahdi Roozbeh (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2020)

Ridge estimation in semi-parametric regression models under the stochastic restriction and correlated elliptically contoured errors. - Mahdi Roozbeh; Gholamreza Hesamian; Mohammad Ghasem Akbari (J. Comput. Appl. Math., 2020)

Improved high-dimensional regression models with matrix approximations applied to the comparative case studies with support vector machines. - Mahdi Roozbeh; Saman Babaie-Kafaki; Zohre Aminifard (Optim. Methods Softw., 2022)

Generalized Support Vector Regression and Symmetry Functional Regression Approaches to Model the High-Dimensional Data. - Mahdi Roozbeh; Arta Rouhi; Nur Anisah Mohamed; Fatemeh Jahadi (Symmetry, 2023)

A nonlinear mixed-integer programming approach for variable selection in linear regression model. - Mahdi Roozbeh; Saman Babaie-Kafaki; Zohre Aminifard (Commun. Stat. Simul. Comput., 2023)