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Beste Hamiye Beyaztaş
Beste Hamiye Beyaztaş
Adresă de e-mail confirmată pe medeniyet.edu.tr
Titlu
Citat de
Citat de
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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
672020
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
462020
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
372018
Robust estimation for linear panel data models
B Hamiye Beyaztas, S Bandyopadhyay
Statistics in Medicine 39 (29), 4421-4438, 2020
252020
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
132021
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
112022
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
112017
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
102021
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
62023
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
62018
On jackknife-after-bootstrap method for dependent data
U Beyaztas, BH Beyaztas
Computational Economics 53, 1613-1632, 2019
42019
Multiple Life Insurance
BH Sertdemir
DEÜ Fen Bilimleri Enstitüsü, 2013
4*2013
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
32022
Construction of multi-step forecast regions of VAR processes using ordered block bootstrap
BH Beyaztas
Communications in Statistics - Simulation and Computation, 2019
32019
An empirical comparison of block bootstrap methods: traditional and newer ones
BH Beyaztas, E Firuzan
Journal of Data Science 14 (4), 641-655, 2016
32016
A robust specification test in linear panel data models
BH Beyaztas, S Bandyopadhyay, A Mandal
arXiv preprint arXiv:2104.07723, 2021
22021
BLOCK BOOTSTRAP PREDICTION INTERVALS FOR GARCH PROCESSES
BH Beyaztas, U Beyaztas
RevStat 18 (4), 397-414, 2020
12020
Streamflow Intervals Prediction Using Coupled Autoregressive Conditionally Heteroscedastic With Bootstrap Model
B Bickici, BH Beyaztas, ZM Yaseen, U Beyaztas, E Kahya
Journal of Flood Risk Management 18 (1), e70009, 2025
2025
A Robust Approach using M-Estimation for Dynamic Panel Autoregressive Model
BH Beyaztaş
International Journal of Advances in Engineering and Pure Sciences 37 (UYIK …, 2025
2025
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
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