日期:10/11/2018 点击量: 581次
Inonu University/Deparment of Econometrics,Turkey
Research Area:
Big Data Strategies, High- Dimensional Data, Penalized Estimation,
Shrinkage Estimation, Robust Estimation
Research experience:
Prof. Yüzbaşı has published a number of studies in international journals which are indexing by web of science.
Related to Big and High-Dimensional Data
Papers
· Ejaz Ahmed, Hwanwoo Kim, Gokhan Yildirim, and Bahadir Yuzbasi (2017). High Dimensional Regression under Correlated Design: An Extensive Simulation Study. To be published, (S.E. Ahmed, Editor), Springer-Verlag.
· E. Ahmed and B. Yüzbaşı (2017). High Dimensional Data Analysis: Integrating Submodels. Big and Complex Data Analysis (Editor: S. Ejaz Ahmed), Springer, 285-304.
· S. E. Ahmed and Yüzbaşı (2016). Big Data Analytics: Integrating Penalty Strategies. International Journal of Management Science and Engineering Management. Published online.
· Yüzbaşı, B. Ahmed, S.E., Asar, Y. (2018) L1 Correlation-Based Penalty in High-Dimensional Quantile Regression, 4th International Conference on Big Data and Information Analytics (BigDIA 2018), Texas Medical Center, Houston, USA and to appear in IEEE proceedings of the conference.
· Yüzbaşı, B., & Ahmed, S. E. (2015). Shrinkage Ridge Regression Estimators in High-Dimensional Linear Models. In Proceedings of the Ninth International Conference on Management Science and Engineering Management (pp. 793-807). Springer Berlin Heidelberg.
· Yüzbaşı, B., Arashi, M. & Ahmed, S.E. (2017). Shrinkage Estimation Strategies in Generalized Ridge Regression Models Under Low/High-Dimension Regime, To Appear in International Statistical Review
International Conferences
· 6th International Workshop on the Perspectives on High-Dimensional Data Analysis (HDDA-VI), The Fields Institute, University of Toronto, Canada , 2016 (Scientific and Organizing Committe)
· Yüzbaşı, B., & Ahmed, S. E., (2016). Pretest, Shrinkage, Positive Shrinkage Ridge Estimators in Linear Regression Models, 44th Annual Meeting of the Statistical Society of Canada, Brock University, Canada (Invited Speaker)
· Yüzbaşı, B. (2016) Stein-Type Generalized Ridge Regression in High-Dimensional Sparse Models, 6th International Workshop on the Perspectives on High- Dimensional Data Analysis (HDDA-VI) The Fields Institute, University of Toronto, Canada (Invited Speaker)
· Yüzbaşı, B., & Arashi, M., (2017) Big Data Analysis Using Shrinkage Strategies, 61st World Statistics Congress (ISI2017), Marrakech, Morocco
· Şık, S, Yüzbaşı, B. & Asar, Y. (2017), Preliminary and Shrinkage Estimation in Quantile Regression Model with iid Errors., Internatıonal Conference On Mathematıcal Modellıng in Applied Sciences(ICMMAS 2017) St. Petersburg, Russia
INTERNATIONAL JOURNALS REFEREES
· Computers in Biology and Medicine
· Computational Statistics & Data Analysis
· Statistical Papers
· International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems (IJUFKS)
· Journal of Modern Applied Statistical Methods
· Journal of Statistical Computation and Simulation
· American Journal of Mathematical and Management Sciences
· Journal of Inequalities and Applications
· Statistics and Probability Letters
· Journal of Statistical Computation and Simulation
· Statistics, Optimization Information Computing
· Applications and Applied Mathematics:An International Journal
· Sigma Journal of Engineering and Natural Sciences
· Thermal Science
· Economic Modelling
International Experiance
· Research Assistant, Department of Mathematics and Statistics, Brock University, The Scientific and Research Council of Turkey (TUBITAK), Tubitak-Bideb-2214/A International Fellowship Scholar, for Brock University, Canada, 2013-2014.
· Visiting International Scholar, Department of Mathematics and Statistics, Brock University, 2016.
· The Fields Institute, University of Toronto, Toronto, Canada, 2016, congress attendance grant.