Tevfik Aktekin

Tevfik Aktekin

Professor
Decision Sciences
Phone: (603) 862-3387
Office: Decision Sciences, Paul College Rm 260J, Durham, NH 03824
Websites:
Curriculum Vitae

Tevfik Aktekin is a 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.

Courses Taught

  • ADMN 420: Business Statistics
  • ADMN 510: Business Statistics
  • ADMN 872: Predictive Analytics
  • ADMN 950: Data Driven Decisions
  • DS 802: Probability and Simulation
  • DS 809: Time Series Analysis

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

Selected Publications

  • Irie, K., Glynn, C., & Aktekin, T. (2022). SEQUENTIAL MODELING, MONITORING, AND FORECASTING OF STREAMING WEB TRAFFIC DATA. ANNALS OF APPLIED STATISTICS, 16(1), 300-325. doi:10.1214/21-AOAS1505

  • Ekin, T., & Aktekin, T. (2021). Decision making under uncertain and dependent system rates in service systems. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 291(1), 335-348. doi:10.1016/j.ejor.2020.09.005

  • Aktekin, T., Polson, N. G., & Soyer, R. (2020). A family of multivariate non-gaussian time series models. JOURNAL OF TIME SERIES ANALYSIS, 41(5), 691-721. doi:10.1111/jtsa.12529

  • 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, 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. 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, 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, 58(1), 28-42. doi:10.1002/nav.20436

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