Contact Information

Office: MH 157B

Phone: 657-278-8560


Sam Behseta



PhD, Carnegie Mellon University

MS, San Diego State University

BS, Tehran National University

Research Areas

Bayesian Statistics; Neuroscience; Biostatistics; Probabilistic Watermarking

Courses Regularly Taught

Bayesian Statistics, Modern Approaches to Data Analysis, Biostatistics, Categorical Data Analysis, Pattern Recognition and Machine Learning, Mathematical Statistics


  • Zhou B., Moorman D., Behseta, S., Ombao H., and Shahbaba B. A Dynamic Bayesian Model for Characterizing Cross Neuronal Interaction During Decision Making, Journal of the Amer- ican Statistical Association, 111, 514, 459:471 (2016).
  • Shahbaba B., Zhou B., Ombao H., Moorman D.E., Behseta S. A Semiparametric Bayesian Model for Neural Coding, Neural Computation. 26, No. 9, 2025-2051 (2014).
  • Kottas, T., Behseta S., Moorman, D.E., Poynor, V., and Olson, C.R. Bayesian Nonparametric Analysis of Multiple Neuronal Intensity Rates. Journal of Neuroscience Methods, 203, 241- 253 (2012).
  • Behseta S., Chenouri S. Comparison of two population curves with an application in neuronal data analysis. Statistics in Medicine, 30, 1441-1454 (2011).
  • Behseta, S., Berdyyeva, T., Olson, C., and Kass, R.E. Bayesian Correction for Attenuation of Correlation in Multi-Trial Spike Count Data, Journal of Neurophysiology, 101: 2186-2193 (2009).

Scholarly Work

I am a statistician with research interests in Bayesian statistics, statistics in neuroscience, modeling education data, foundations and history of statistics, statistics education, probabilistic watermarking, and biostatistics. 

See my CV for a more detailed description of my teaching, publications, and scholarly work.PDF File Opens in new window