University of Calgary

STAT 631 - Computational Statistics - Winter 2024

Unconstrained optimization methods, simulation and random number generation, Bayesian inference and Monte Carlo methods, Markov chain Monte Carlo, non-parametric inference, classical inference and other topics. An emphasis will be placed on computational implementation of algorithms.
This course may not be repeated for credit.


  • H(3-0)


  • Admission to a graduate program in Mathematics and Statistics or consent of the Department.


Powered by UNITIS. More features.