| Usage of the GO estimator in high dimensional linear models M Genç, MR Özkale Computational Statistics 36 (1), 217-239, 2021 | 7 | 2021 |
| A new double-regularized regression using Liu and lasso regularization M Genç Computational Statistics 37 (1), 159-227, 2022 | 3 | 2022 |
| Lasso regression under stochastic restrictions in linear regression: An application to genomic data M Genç, MR Özkale Communications in Statistics-Theory and Methods 53 (8), 2816-2839, 2024 | 2 | 2024 |
| An extension of the UEHL distribution based on the DUS transformation M Genç, Ö Özbilen Journal of New Theory, 20-30, 2023 | 1 | 2023 |
| The Effect of the Second Stage Estimator on Model Performance in Post-LASSO Method M Genç, Ö Özbilen Turkish Journal of Science and Technology 18 (2), 319-330, 2023 | 1 | 2023 |
| Regularization and variable selection with triple shrinkage in linear regression: a generalization of lasso M Genç, MR Özkale Communications in Statistics-Simulation and Computation, 1-23, 2023 | 1 | 2023 |
| Penalized logistic regression with prior information for microarray gene expression classification M Genç The International Journal of Biostatistics, 2022 | 1 | 2022 |
| Bir Simülasyon Çalışması ile Cezalı Regresyon Yöntemlerinin Karşılaştırılması M Genç Bilecik Şeyh Edebali Üniversitesi Fen Bilimleri Dergisi 9 (1), 80-91, 2022 | 1 | 2022 |
| An Enhanced Extreme Learning Machine Based on Square-Root Lasso Method M Genç Neural Processing Letters 56 (1), 5, 2024 | | 2024 |
| A Study on the Use of Artificial Neural Networks in House Price Modeling M Genç Çukurova 9th International Scientific Researches Conference, 2022 | | 2022 |
| İktisat ve Finansta Makine Öğrenmesi / Düzenlileştirilmiş Regresyon Yöntemlerinin Konut Fiyatı Tahminlemesinde Kullanımı (Bölüm) M Genç | | 2022 |
| A New Penalızed Regressıon Method Based on Liu Estimator M Genç XXI. International Symposium on Econometrics, Operational Research and …, 2021 | | 2021 |
| The Shift-Ridge and Shift-Lasso Methods M Genç, ÖM Revan 20th International Symposium on Econometrics, Operations Research and …, 2020 | | 2020 |
| Akademik Çalışmalarda İstatistik Uygulamaları / Göğüs Kanseri Teşhisinde Cezalı ve Esnetilmiş Lojistik Regresyon Yöntemlerinin Kullanılması (Bölüm) M Genç | | 2020 |
| The GO estimator: A new generalization of Lasso M Genç, ÖM Revan Young Business and Industrial Statisticians (y-BİS) Workshop on Recent …, 2019 | | 2019 |
| Restricted alternatives to ridge and lasso regression: a random effects approach M Genç, ÖM Revan XVIII. International Symposium onEconometrics, Operations Research and …, 2017 | | 2017 |
| A Method For Estimation Of Parameters In Competing Hazard Model M Genç, D Ünal 9-th International Statistics Day Symposium, Antalya, Türkiye 31, 2014 | | 2014 |
| Konveks ve konveks olmayan cezalı regresyon yöntemlerinin karşılaştırılması üzerine bir çalışma M Genç Balıkesir Üniversitesi Fen Bilimleri Enstitüsü Dergisi 26 (1), 163-179, 0 | | |
| Exponentiated UEHL Distribution: Properties and Applications M Genç, Ö Özbilen Recep Tayyip Erdoğan Üniversitesi Fen ve Mühendislik Bilimleri Dergisi 4 (2 …, 0 | | |
