STAT 433

Spring 2022 All Classes

All Classes

Stochastic Processes

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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.

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STAT 433 class schedule data for spring 2022
	CRN	Type	Section	Time	Day	Location	Instructor	Section Details
	70527	Lecture-Discussion	1GR	11:00AM -12:20PM	TR	Lincoln Hall	Stepanov, A	Part of Term: 1 Date Range: 01/18/22-05/04/22 Credit: 4 hours Section Info: For Statistics course registration information: go.illinois.edu/StatisticsRegistration. Restriction(s): Restricted to Graduate - Urbana-Champaign.
	70528	Lecture-Discussion	1UG	11:00AM -12:20PM	TR	Lincoln Hall	Stepanov, A	Part of Term: 1 Date Range: 01/18/22-05/04/22 Credit: 3 hours Section Info: For Statistics course registration information: go.illinois.edu/StatisticsRegistration. Restriction(s): Restricted to Undergrad - Urbana-Champaign.