Skip to Content

Bayesian Data Analysis - STAT750

This unit introduces main concepts and methods of Bayesian analysis. Both single-parameter and multi-parameter models are derived. Bayesian computation techniques, Bayesian regression models, which include linear, GLM and hierarchical models, are studied in the unit. R software is used.

Credit Points: 4
When Offered:

TBD - Not offered in the current year; next offering is to be determined

Staff Contact(s): Statistics Staff
Prerequisites:

Admission to MRes and STAT710 Prerequisite Information

Corequisites:

NCCW(s): STAT850
Unit Designation(s):
Assessed As: Graded
Offered By:

Department of Mathematics and Statistics

Faculty of Science and Engineering

Course structures, including unit offerings, are subject to change.
Need help? Ask us.