STAT 433
Fall 2020 All Classes
All Classes
Credit: 3 OR 4 hours.
A stochastic process is a random process that represents the evolution of some system over time. Topics may include discrete-time and continuous-time Markov chains, birth-and-death chains, branching chains, stationary distributions, random walks, Markov pure jump processes, birth-and-death processes, renewal processes, Poisson process, queues, second order processes, Brownian motion (Wiener process), and Ito's lemma.
3 undergraduate hours. 4 graduate hours. Prerequisite: STAT 400 required, STAT 410 preferred, and MATH 225 (or equivalent knowledge of Linear Algebra) highly recommended.
Section Status updates every 10 minutes.
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70910
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Online
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1GR
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ARRANGED
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Stepanov, A
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70911
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Online
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1UG
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n.a.
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Stepanov, A
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