This course addresses topics such as finite-state Markov processes and Markov chains, classification of states, long-run behavior, continuous time processes, birth and death processes, random walks, and Brownian motion.
STAT 406 - 001
Stochastic Processes
Session
Regular Academic Session
Class Number
5325
Career
Graduate
Units
3 units
Grading
Graded
Description
This course addresses topics such as finite-state Markov processes and Markov chains, classification of states, long-run behavior, continuous time processes, birth and death processes, random walks, and Brownian motion.
Class Notes
STAT 406 meets with STAT 306, MATH 306 and MATH 406
Class Actions
Class Details
Instructor(s)
Shuwen Lou
Meets
MoWeFr 12:35PM - 1:25PM
Dates
01/12/2026 - 05/02/2026
Room
TBA
Instruction Mode
In person
Campus
Lake Shore Campus
Location
Lake Shore Campus
Components
| Lecture Required |
Class Availability
Status
Open
Seats Taken
0
Seats Open
40
Combined Section Capacity
40
Wait List Total
0
Wait List Capacity
0
Combined Section
Intro Stochastic Process
STAT 306 - 001 (5322)
Status: Open - Enrl
Seats Taken: 0
Wait List Total: 0
Intro Stochastic Process
MATH 306 - 001 (5323)
Status: Open - Enrl
Seats Taken: 0
Wait List Total: 0
Stochastic Processes
MATH 406 - 001 (5324)
Status: Open - Enrl
Seats Taken: 0
Wait List Total: 0
Stochastic Processes
STAT 406 - 001 (5325)
Status: Open - Enrl
Seats Taken: 0
Wait List Total: 0