STAT 433

Fall 2019 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 fall 2019
	CRN	Type	Section	Time	Day	Location	Instructor	Section Details
	70910	Lecture-Discussion	1GR	2:00PM -3:20PM	TR	106B1 Engineering Hall	Stepanov, A	Part of Term: 1 Date Range: 08/26/19-12/11/19 Credit: 4 hours Restriction(s): Restricted to Graduate - Urbana-Champaign.
	70911	Lecture-Discussion	1UG	2:00PM -3:20PM	TR	106B1 Engineering Hall	Stepanov, A	Part of Term: 1 Date Range: 08/26/19-12/11/19 Credit: 3 hours Restriction(s): Restricted to Undergrad - Urbana-Champaign.