STAT 564

Statistical Computing

Units: 1.5

Hours: 3-0-0

Also: STAT 464

Computer representation of numbers, univariate optimization, multivariate optimization, combinatorial optimization, genetic algorithms, EM algorithm, random number generation, numerical integration, simulation and Monte Carlo integration, Gibbs sampling, Metropolis-Hastings algorithm; bootstrapping. Other topics may include: permutation tests, smoothing, reversible jump MCMC, importance sampling, hybrid Gibbs sampling.


  • Credit will be granted for only one of STAT 464, STAT 454 (if taken in the same topic), STAT 564, STAT 556 (if taken in the same topic).
  • May be offered as a joint undergraduate and graduate class.

Graduate course in the Statistics program offered by the Faculty of Graduate Studies.

Summer 2019 Fall 2019 Spring 2020

Summer timetable available: February 15. Fall and Spring timetables available: May 15.

Before these dates the class schedule will show "No classes were found that meet your search criteria". If this message is shown after these dates, the course is not scheduled for the selected term.