| Metaheuristic optimization algorithms hybridized with artificial intelligence model for soil temperature prediction: Novel model L Penghui, AA Ewees, BH Beyaztas, C Qi, SQ Salih, N Al-Ansari, ... IEEE Access 8, 51884-51904, 2020 | 58 | 2020 |
| On the evaluation of the gradient tree boosting model for groundwater level forecasting SR Naganna, BH Beyaztas, N Bokde, AM Armanuos Knowledge-Based Engineering and Sciences 1 (01), 48-57, 2020 | 41 | 2020 |
| Construction of prediction intervals for Palmer Drought Severity Index using bootstrap U Beyaztas, BB Arikan, BH Beyaztas, E Kahya Journal of Hydrology 559, 461-470, 2018 | 35 | 2018 |
| Robust estimation for linear panel data models B Hamiye Beyaztas, S Bandyopadhyay Statistics in Medicine 39 (29), 4421-4438, 2020 | 16 | 2020 |
| Total dissolved salt prediction using neurocomputing models: Case study of Gypsum soil within Iraq region ND Bokde, ZH Ali, MT Al-Hadidi, A Farooque, M Jamei, A Al Maliki, ... IEEE Access, 2021 | 10 | 2021 |
| New block bootstrap methods: Sufficient and/or ordered BH Beyaztas, E Firuzan, U Beyaztas Communications in Statistics-Simulation and Computation 46 (5), 3942-3951, 2017 | 10 | 2017 |
| Bootstrap based multi-step ahead joint forecast densities for financial interval-valued time series BH Beyaztas Communications Faculty of Sciences University of Ankara Series A1 …, 2021 | 8 | 2021 |
| New and fast block bootstrap-based prediction intervals for GARCH (1, 1) process with application to exchange rates BH Beyaztas, U Beyaztas, S Bandyopadhyay, WM Huang Sankhya A 80, 168-194, 2018 | 5 | 2018 |
| Multiple Life Insurance BH Sertdemir DEÜ Fen Bilimleri Enstitüsü, 2013 | 4 | 2013 |
| Development of high-resolution gridded data for water availability identification through GRACE data downscaling: Development of machine learning models H Tao, AH Al-Sulttani, SQ Salih, MKA Mohammed, MA Khan, ... Atmospheric Research 291, 106815, 2023 | 3 | 2023 |
| Construction of multi-step forecast regions of VAR processes using ordered block bootstrap BH Beyaztas Communications in Statistics - Simulation and Computation, 2019 | 3 | 2019 |
| Testing equality of multiple population means under contaminated normal model using the density power divergence J Das, BH Beyaztas, MK Mac-Ocloo, A Majumdar, A Mandal Entropy 24 (9), 1189, 2022 | 2 | 2022 |
| Data driven robust estimation methods for fixed effects panel data models BH Beyaztas, S Bandyopadhyay Journal of Statistical Computation and Simulation 92 (7), 1401-1425, 2022 | 2 | 2022 |
| On jackknife-after-bootstrap method for dependent data U Beyaztas, BH Beyaztas Computational Economics 53, 1613-1632, 2019 | 2 | 2019 |
| An empirical comparison of block bootstrap methods: traditional and newer ones BH Beyaztas, E Firuzan Journal of Data Science 14 (4), 641-655, 2016 | 2 | 2016 |
| A robust specification test in linear panel data models BH Beyaztas, S Bandyopadhyay, A Mandal arXiv preprint arXiv:2104.07723, 2021 | 1 | 2021 |
| BLOCK BOOTSTRAP PREDICTION INTERVALS FOR GARCH PROCESSES BH Beyaztas, U Beyaztas RevStat 18 (4), 397-414, 2020 | 1 | 2020 |
| Robust density power divergence estimates for panel data models A Mandal, BH Beyaztas, S Bandyopadhyay Annals of the Institute of Statistical Mathematics 75 (5), 773-798, 2023 | | 2023 |
| Data Driven Robust Estimation Methods for Fixed Effects Panel Data Models B Hamiye Beyaztas, S Bandyopadhyay arXiv e-prints, arXiv: 2011.11123, 2020 | | 2020 |
| On Block Bootstrapping for Autoregressive Time Series Models BH Beyaztas, U Beyaztas International Journal of Mathematics and Computation 30 (2), 62-75, 2019 | | 2019 |
Ufuk BeyaztasDepartment of Statistics, Marmara UniversityDirección de correo verificada de marmara.edu.tr
