Computational Statistics

This paper is not offered for 2024

For previous occurrences, try the 2023 version of this year.



STAT321 or STATS321, or three other 300 level Statistics papers, and at the discretion of the Chairperson of Department.

STAT421, STAT521, STATS511

This paper covers maximum likelihood estimation, and the fitting of advanced regression models including non-linear models, mixture models and their generalisations. It will take a practical approach stressing the use of R packages and WinBugs or OpenBugs Bayesian software.

Additional information

  • Paper details current as of 27 Jan 2024 23:54pm
  • Indicative fees current as of 9 Apr 2024 01:30am