Bayesian Data Analysis - STAT850
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 MAppStat or GradCertAppStat or GradDipAppStat or MDataSc) and (STAT806 or STAT810) |
| Corequisites: | |
| NCCW(s): | STAT750 |
| 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.
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