Tevfik Aktekin

Decision Sciences
Phone: (603) 862-3387
Office: Decision Sciences, Paul College Rm 260J, Durham, NH 03824
Tevfik Aktekin

Tevfik Aktekin is an Associate Professor in the Department of Decision Sciences at the Paul College of Business and Economics at the University of New Hampshire. He earned his Ph.D. in Decision Sciences (with a minor in Operations Research/Statistics) from the George Washington University. His main research interests include Bayesian state space models of count data and Bayesian inference in stochastic systems (with focus on queuing systems). His research has appeared in journals such as the Annals of Applied Statistics, Bayesian Analysis, Statistics in Medicine, Journal of the Royal Statistical Society (Series A), European Journal of Operational Research, and Naval Research Logistics.


  • Ph.D., Decision Sciences, George Washington University
  • M.B.A., Management Decision Making, George Washington University
  • B.S., Mechanical Engineering, Yildiz Technical University

Research Interests

  • Forecasting - Trends/Statistical Analysis
  • Operations Research
  • Statistics

Courses Taught

  • ADMN 420: Business Statistics
  • ADMN 950: Data Driven Decisions
  • ADMN 956: Managerial Decision Making
  • DS 768: Forecasting Analytics

Selected Publications

Aktekin, T., Polson, N., & Soyer, R. (2018). Sequential Bayesian Analysis of Multivariate Count Data. Bayesian Analysis, 13(2), 385-409. doi:10.1214/17-ba1054

Aktekin, T., Dutta, D. K., & Sohl, J. E. (2018). Entrepreneurial firms and financial attractiveness for securing debt capital: a Bayesian analysis. Venture Capital, 20(1), 27-50. doi:10.1080/13691066.2017.1336894

Yalcinkaya, G., Aktekin, T., Yeniyurt, S., & Umar, S. (2017). How often should a firm modify its products? A Bayesian analysis of automobile modification cycles. Marketing Letters, 28(1), 85-97. doi:10.1007/s11002-015-9384-8

Aktekin, T., & Ekin, T. (2016). Stochastic call center staffing with uncertain arrival, service and abandonment rates: A Bayesian perspective. Naval Research Logistics (NRL), 63(6), 460-478. doi:10.1002/nav.21716

Aktekin, T., Soyer, R., & Kim, B. (2015). Bayesian Modeling of Time Series of Counts with Business Applications. In R. Davis, S. Holan, R. Lund, & N. Ravishanker (Eds.), Handbook of Discrete-Valued Time Series.. Chapman and Hall/CRC. Retrieved from https://www.crcpress.com/

Aktekin, T. (2014). Call center service process analysis: Bayesian parametric and semi-parametric mixture modeling. European Journal of Operational Research, 234(3), 709-719. doi:10.1016/j.ejor.2013.10.064

Aktekin, T., & Caglar, T. (2013). Imperfect debugging in software reliability: A Bayesian approach. European Journal of Operational Research, 227(1), 112-121. doi:10.1016/j.ejor.2012.11.056

Musal, M., & Aktekin, T. (2013). Bayesian spatial modeling of HIV mortality via zero-inflated Poisson models. Statistics in Medicine, 32(2), 267-281. doi:10.1002/sim.5457

Aktekin, T., & Soyer, R. (2012). Bayesian analysis of queues with impatient customers: Applications to call centers. Naval Research Logistics (NRL), 59(6), 441-456. doi:10.1002/nav.21499

Aktekin, T., & Soyer, R. (2011). Call center arrival modeling: A Bayesian state-space approach. Naval Research Logistics (NRL), 58(1), 28-42. doi:10.1002/nav.20436

Most Cited Publications