
Burcu Eke Rubini
Courses Taught
- ADMN 872: Predictive Analytics
- ADMN 950: Data Driven Decisions
- DS 768/898: Forecasting Analytics
- DS 803: Fundamentals of Statistical
- DS 805: Statistical Learning
- DS 807: Unstructured Data
Education
- Ph.D., Statistics, Arizona State University
- M.A., Economics and Finance, Southern Illinois University
- M.S., Economics, Arizona State University
- B.S., Economics, Middle East Tech Univ
Research Interests
- Nonlinear Statistical Models
- Time Series Analysis
- Statistical Inference
- Business Statistics
- Interpersonal Social Networks
Selected Publications
Eke Rubini, B., & Rubini, L. (2024). Gravity with Strategic Behavior .
Zifla, E., & Rubini, B. E. (2024). Multi-criteria evaluation of health news stories. Decision Support Systems, 180, 114187. doi:10.1016/j.dss.2024.114187
Eke Rubini, B., & Rubini, L. (2024). Gravity in Networks: Lessons from the U.S.-China Trade War.
Grujić, J., Eke, B., Cabrales, A., Cuesta, J. A., & Sánchez, A. (2012). Three is a crowd in iterated prisoner's dilemmas: experimental evidence on reciprocal behavior.. Sci Rep, 2, 638. doi:10.1038/srep00638
Eke, B., & Kutan, A. M. (2009). Are International Monetary Fund Programs Effective?: Evidence from East European Countries. Eastern European Economics, 47(1), 5-28. doi:10.2753/eee0012-8775470101
Eke, B., & Kutan, A. M. (2005). IMF-Supported Programmes in Transition Economies: Are They Effective?. Comparative Economic Studies, 47(1), 23-40. doi:10.1057/palgrave.ces.8100090
Zifla, E., & Eke Rubini, B. (2024, October 24). Co-opetition in Online Seller Networks: Evidence from Etsy. In https://aisel.aisnet.org/neais2024/6/. Worcester MA.
Eke Rubini, B., & Rubini, L. (2022, August 6). A Mixed Model Approach for Dynamic Trade Networks. In Joint Statistical Meetings 2022. Washington, DC.
Eke Rubini, B. (2024, October 16). Mixed Model Imputation for Missing Data in Social Networks. In Women in Statistics and Data Science.
Rubini, L., & Eke Rubini, B. (n.d.). Estimating Bilateral Trade Barriers.