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Beste Hamiye Beyaztaş
Beste Hamiye Beyaztaş
Verified email at medeniyet.edu.tr
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Cited by
Year
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
382020
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
242018
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
192020
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
72017
Robust estimation for linear panel data models
B Hamiye Beyaztas, S Bandyopadhyay
Statistics in Medicine 39 (29), 4421-4438, 2020
52020
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 (1), 168-194, 2018
52018
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
32021
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
22021
Construction of multi-step forecast regions of VAR processes using ordered block bootstrap
BH Beyaztas
Communications in Statistics - Simulation and Computation, 2019
22019
On jackknife-after-bootstrap method for dependent data
U Beyaztas, BH Beyaztas
Computational Economics 53 (4), 1613-1632, 2019
22019
BLOCK BOOTSTRAP PREDICTION INTERVALS FOR GARCH PROCESSES
BH Beyaztas, U Beyaztas
RevStat 18 (4), 397-414, 2020
12020
An empirical comparison of block bootstrap methods: traditional and newer ones
BH Beyaztas, E Firuzan
Journal of Data Science 14 (4), 641-655, 2016
12016
Multiple Life Insurance
BH Sertdemir
DEÜ Fen Bilimleri Enstitüsü, 2013
12013
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
2022
Robust Density Power Divergence Estimates for Panel Data Models
A Mandal, BH Beyaztas, S Bandyopadhyay
arXiv preprint arXiv:2108.02408, 2021
2021
A robust specification test in linear panel data models
BH Beyaztas, S Bandyopadhyay, A Mandal
arXiv preprint arXiv:2104.07723, 2021
2021
A robust specification test in linear panel data models
B Hamiye Beyaztas, S Bandyopadhyay, A Mandal
arXiv e-prints, arXiv: 2104.07723, 2021
2021
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
Comparison of GMM Estimators for Dynamic Panel AR(1) Models: An Application to the Cross-Country Growth Data
BH Beyaztas, E Firuzan, A Hacioglu
International Journal of Statistics and Economics 19 (4), 27-41, 2018
2018
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Articles 1–20