V. Vinciotti and H. Hashem (2013). Robust methods for inferring sparse network structures. Computational Statistics and Data Analysis, 67, 84-94.
Hashem, H., Vinciotti, V., Alhamzawi, R., and Yu, K. (2016). Quantile regression with group lasso for classification. ADAC 10, 375–390.
Ajeel, S. M., and Hashem, H. A. (2020). Comparison of Some Robust Regularization Methods in Linear Regression via Simulation Study. Academic Journal of Nawroz University, 9(2), 244–252.
Ibrahim , R. A. and Hashem , H. A. (2022). Comparison of Some Group Variable Selection Methods in High Dimensional Multiple Linear Regression via Simulation Study. General Letters in Mathematics, 12 (3), 126-138.
Media, S. B., and Hashem, H. A. (2022). A Comparative Study of Some Variables Selection Methods in High Dimensional Multiple Liner Regression Via Simulation. Journal of Duhok University, 25 (2), 601-613.
Hashem, H. (2024). Adaptive Lad Lasso, Split Regularized Regression and DLasso: Simulation Study of Variable Selection. IRAQI JOURNAL OF STATISTICAL SCIENCES, 21(2), 9–23.
Azad A. Shareef, Sherzad M. Ajeel, Hussein A. Hashem (2024). UTILIZING MULTINOMIAL LOGISTIC REGRESSION FOR DETERMINING THE FACTORS INFLUENCING BLOOD PRESSURE. Science Journal of University of Zakho 12 (3), 367-374.
Hashem, H. (2024). A Simulation Study on Group Variable Selection Methods for Binary Response. Basrah Journal of Science 42 (3), 367-386.
Hashem, H. (2025). Group Variable Selection Methods with Quantile Regression: A Simulation Study. IRAQI JOURNAL OF STATISTICAL SCIENCES, 22(1), 114–126.
Hashem, H., Adil Shareef, A., & Mohammad Ajeel, S. (2025). Identifying Factors that Affect Diabetes through Regression Analysis. College of Basic Education Research Journal, 21(2), 542–553.
HASHEM, H. (2025). Simulation Study for Variable Selection in Quantile Regression. Wasit Journal for Pure Sciences , 4(1), 29-41.
