STAT 544 - Stochastic Processes

Credits: 3
This course focuses on the modeling and analysis of stochastic processes arising from a wide range of applications. Topics include discrete‐time Markov chains, Poisson processes, continuous‐time Markov chains, queueing theory, and decision theory. Recommended preparation: A linear algebra course and an introductory statistics course.