Peyton Cook

Peyton Cook

Associate ProfessorKeplinger Hall U327
918-631-2991
pcook@utulsa.edu

Bayesian Statistical Inference for Change Point Models, Time Series Forecasting, Econometrics, and Variance Components

Education and Degrees Earned

  • Ph.D., Statistics, Oklahoma State University, 1983
  • M.S. , Statistics, Oklahoma State University, 1980
  • B.S., Mathematics, Oklahoma State University, 1978
  • B.A., Psychology, The University of Tulsa, 1973

Areas of Research Focus

  • Financial Mathematics
  • Simulation for Stochastic Differential Equations
  • Henstock-Kurzweil Integration

Previous Teaching Experience

  • The University of Tulsa 1983 to present

Professional Affiliations

  • The American Statistical Association
  • Sizma Xi

Courses Taught at TU

  • Applied Regression / Empirical Methods in Finance (MATH 7533 / FIN 7073)
  • Differential Equations (MATH 3073)
  • Statistical Methods for Scientists and Engineers (STAT 4813)

Publications


  • Broemeling, L. D. and P. Cook (1997), “A Bayesian Analysis of Regression Models with Continuous Errors with Application to Longitudinal Studies”, Statistics in Medicine, Vol. 16, pp. 321-332

  • Marino, J. H. , P. Cook, and K. S. Miller (2003), “Accurate and statistically verified quantification of relative mRNA abundances using SYBR Green I and real-time RT-PCR”, Journal of Immunological Methods, 283 (2003 pp.291-306.

  • Cakmak, I., Cook, P., Hollis, J., Shah, N., Huntley, D., van Valkenburg, D., and H. Wells (1999), “Africanized Honey Bee Response to Differences in Reward Frequency”, Journal of Apicultural Research, 38(3-4), pp. 125-136

  • Wells, H., Cakmak, I, Cook, P., and D. Van Valkenburg (1998), “Alternative Africanization Models for the Yucatan: Continued Discussion”, Bee World, pp. 106-111

  • Cook, P, C. Fu, M. Hickey, E. Han, and K. S. Miller (2004), “SAS programs for real-time RT-PCR having multiple independent samples”, BioTechniques 37: pp. 990-995.