2009 Course Handbook
BCA814: Bayesian Statistical Methods
Topics will include one-parameter models with conjugate prior distributions; standard models containing two or more parameters; the role of noninformative prior distributions; relationship between Bayesian methods and classical approaches to statistics; computational techniques for Bayesian analysis, especially the use of simulation from posterior distributions, using the WinBUGS package; Bayesian methods for fitting hierarchical models to complex data structures.
| Credit Points: | 4 |
| Contact Hours: | -- |
| When Offered: | 2010 - offered in 2010 |
| Staff Contact: | |
| Prerequisites: | (BCA801 and BCA802 and BCA805 and BCA808 and BCA809 and BCA817) or ((STAT271 and STAT272) or STAT371 or STAT810) and (STAT411 or STAT811)) |
| Corequisites: | |
| NCCWs: | |
| Unit Designations: | -- |
| Assessed As: | Graded |
| Offered By: |
Faculty of Science |