Statistics (STAT)
School of Mathematics and Statistics
Faculty of Science
STAT 3506 [0.5 credit]
Stochastic Processes and Applications (Honours)
Conditional probability and conditional expectation; Stochastic modeling; discrete time Markov chains including classification of states, stationary and limiting distributions; exponential distribution and the Poisson processes; queueing models; applications to computer systems, operations research and social sciences.
Prerequisites:
STAT 2655; or a CGPA of 6.00 or better over the three courses
MATH 2007,
MATH 2107 (or
MATH 1102), and
STAT 2605; or permission of the School.
Lectures three hours a week, tutorial one hour a week.