Refik Soyer

Refik Soyer

Refik Soyer

Mitch Blaser Distinguished Scholar in Business Analytics; Director, Institute for Integrating Statistics in Decision Sciences; Professor of Decision Sciences & Statistics


Email: Refik Soyer
Office Phone: (202) 994-6445
2201 G Street NW, Suite 415-B Washington, DC 20052

Refik Soyer is a professor of decision sciences and of statistics at the George Washington University (GW). He is the Mitch Blaser Distinguished Scholar in Business Analytics. He also serves as the director of the Institute for Integrating Statistics in Decision Sciences at GW.  He received his DSc in operations research from GW, MSc in operational research from the University of Sussex, England and BA in economics from Bogazici University, Turkey. His area of interests are Bayesian statistics and decision analysis, stochastic modeling, statistical aspects of reliability analysis, and time series analysis.  He has published over 100 articles and directed or co-directed 13 doctoral dissertations. His work has appeared in journals such as Journal of the American Statistical Association, Journal of the Royal Statistical Society, Ser. B., Technometrics, Biometrics, Journal of EconometricsStatistical Science, International Statistical Review, Annals of Applied Statistics and Management Science. He has also co-edited a volume titled Mathematical Reliability: An Expository Perspective. His research was supported by Army Research Office, National Science Foundation and Office of Naval Research. Soyer is an elected member of the International Statistical Institute, Fellow of the Turkish Statistical Association and a Fellow of the American Statistical Association. He was a vice president of the International Association for Statistical Computing. He served on the editorial board of the Journal of the American Statistical Association and is currently an associate editor of the Applied Stochastic Models in Business and Industry.

  • Bayesian Statistics
  • Stochastic Modeling
  • Decision Analysis
  • Reliability Modeling and Analysis
  • Time Series Analysis

D.Sc., George Washington University, 1985
M.Sc., Sussex University, 1979
B.A., Bogazici University, 1978

  • Applied Stochastic Models for Business
  • Advanced Topics in Time Series Analysis
  • Bayesian Statistics
  • Applied Forecasting and Time Series Analysis
  • Stochastic Foundations: Probability Models
  • Statistics for Analytics
  • Forecasting for Analytics
  • Financial Modeling and Econometrics