Dr. Sobel has been a tenured Professor of Statistics in the Fox
School of Business and Management for 15 years (associate for 11). 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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