STAT650

Applied Stochastic Processes

Prerequisite: STAT410; or students who have taken courses with comparable content may contact the department. Basic concepts of stochastic processes. Markov processes (discrete and continuous parameters), Random walks, Poisson processes, Birth and death processes. Renewal processes and basic limit theorems. Discrete time martingales, stopping times, optional sampling theorem. Applications from theories of stochastic epidemics, survival analysis and others.

Spring 2024

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Average rating: 4.25

Spring 2023

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Past Semesters

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4 reviews
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* "W"s are considered to be 0.0 quality points. "Other" grades are not factored into GPA calculation. Grade data not guaranteed to be correct.