Tevfik Aktekin

ASSOCIATE PROFESSOR
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.

Education

  • 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

  • Bayesian methods
  • Stochastic Processes
  • Time Series Analysis

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., & 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., & Musal, M. (2015). Analysis of income inequality measures on human immunodeficiency virus mortality: a spatiotemporal Bayesian perspective. Journal of the Royal Statistical Society: Series A (Statistics in Society), 178(2), 383-403. doi:10.1111/rssa.12062

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., & Soyer, R. (2014). Bayesian Analysis of Abandonment in Call Center Operations. Applied Stochastic Models in Business and Industry, 30(2), 141-156. doi:10.1002/asmb.1949

Aktekin, T., Soyer, R., & Xu, F. (2013). Assessment of mortgage default risk via Bayesian state space models. The Annals of Applied Statistics, 7(3), 1450-1473. doi:10.1214/13-aoas632

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