Classical and Bayesian inferential approaches using Lomax model under progressively type-I hybrid censoring. - Mehri Noori Asl; Reza Arabi Belaghi; Hossien Bevrani (J. Comput. Appl. Math., 2018)

Penalized and ridge-type shrinkage estimators in Poisson regression model. - Mehri Noori Asl; Hossien Bevrani; Reza Arabi Belaghi (Commun. Stat. Simul. Comput., 2022)

Using shrinkage strategies to estimate fixed effects in zero-inflated negative binomial mixed model. - Zahra Zandi; Hossien Bevrani; Reza Arabi Belaghi (Commun. Stat. Simul. Comput., 2023)

ERDeR: The Combination of Statistical Shrinkage Methods and Ensemble Approaches to Improve the Performance of Deep Regression. - Zari Farhadi; Mohammad-Reza Feizi-Derakhshi; Hossien Bevrani; Wonjoon Kim; Muhammad Fazal Ijaz (IEEE Access, 2024)

Corrections to "ERDeR: The Combination of Statistical Shrinkage Methods and Ensemble Approaches to Improve the Performance of Deep Regression". - Zari Farhadi; Mohammad-Reza Feizi-Derakhshi; Hossien Bevrani; Wonjoon Kim; Muhammad Fazal Ijaz (IEEE Access, 2024)

Liu-type shrinkage strategies in zero-inflated negative binomial models with application to Expenditure and Default Data. - Zahra Zandi; Reza Arabi Belaghi; Hossien Bevrani (Commun. Stat. Simul. Comput., 2024)

Improving random forest algorithm by selecting appropriate penalized method. - Zari Farhadi; Hossien Bevrani; Mohammad-Reza Feizi-Derakhshi (Commun. Stat. Simul. Comput., 2024)