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STAT 2730 - STOCHASTIC PROCESSESMinimum Credits: 3 Maximum Credits: 3 Long Description This course provides an introduction to stochastic processes and its applications. The major topics are Markov chains, Poisson processes, Brownian motion, and branching processes. Academic Career: Graduate Course Component: Lecture Grade Component: Grad LG/SNC Basis Course Requirements: PLAN: Graduate students in statistics or applied statistics.
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