Course Schedule - Fall Semester 2019

     

STAT 552 001 (CRN: 13824)

APPLIED STOCHASTIC PROCESSES

Long Title: APPLIED STOCHASTIC PROCESSES
Department: Statistics
Instructor: Kimmel, Marek
Meeting: 1:00PM - 2:15PM TR KCK 105 (26-AUG-2019 - 6-DEC-2019) 
Session: Full Term
Grade Mode: Standard Letter
Course Type: Lecture
Language of Instruction: Taught in English
Method of Instruction: Face to Face
Credit Hours: 3
Course Syllabus:
Course Materials: Rice Campus Store
 
Restrictions:
Must be enrolled in one of the following Level(s):
Graduate
Prerequisites: STAT 518
Section Max Enrollment: 49
Section Enrolled: 9
Enrollment data as of: 25-FEB-2024 6:26AM
 
Additional Fees: None
 
Final Exam: GR Course-Dept Schedules Exam
 
Description: This course covers the theory of some of the most frequently used stochastic processes in application; discrete and continuous time, Markov chains, Poisson and renewal processes, and Brownian motion.