About Me

Dr. Sobel has been a tenured Professor of Statistics in the Fox School of Business and Management for 25 years (associate for 20).  He primarily teaches a Graduate Machine Learning/Bayesian Statistics interface (see course information), course dealing with Bayesian Inference, and Statistics C1102, C2101, C2102  His interests include:



  • Neural Firing
  • Statistical Shape Analysis
  • Sequential Markov Chain Monte Carlo (Particle Filters)
  • Robotics and pattern recognition
  • Markov Chain Monte Carlo (MCMC)
  • Boosting
  • EM and clustering algorithms
  • Feynman Kac Path Integrals

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