Stochastic Processes

4 credits

Elements of stochastic processes, Markov chains, hidden Markov models, martingales, Brownian motion, Gaussian processes. Recommended preparation: completion of undergraduate probability theory (equivalent to MATH 180A) highly recommended. Prerequisites: graduate standing. Nongraduate students may enroll with consent of instructor.