STATS 3023 - Computational Bayesian Statistics III
| Career: | Undergraduate |
|---|---|
| Units: | 3 |
| Term: | 4220 |
| Campus: | North Terrace |
| Contact: | Up to 3 hours per week |
| Available for Study Abroad and Exchange: | Yes |
| Available for Non-Award Study: | Yes |
| Pre-Requisite: | MATHS 2103 or MATHS 2107 or STATS 2107 |
| Assumed Knowledge: | Experience with the statistical package R such as would be obtained from STATS 1005 or STATS 2107 |
| Assessment: | Ongoing assessment and examination. |
| Syllabus: |
The aim of this course is to equip students with the theoretical knowledge and practical skills to perform Bayesian inference in a wide range of practical applications. Following an introduction to the Bayesian framework, the course will focus on the main Markov chain Monte Carlo algorithms for performing inference and will consider a number of models widely used in practice. Topics covered are: Introduction to Bayesian statistics; model checking, comparison and choice; introduction to Bayesian computation; Gibbs sampler; Metropolis-Hastings algorithm; missing data techniques; hierarchical models; regression models; Gaussian process models. |
Course Fees
Study Abroad student tuition fees are available here
Only some Postgraduate Coursework programs are available as Commonwealth Supported. Please check your program for specific fee information.
The fees displayed below for international students are for students commencing a program in 2024 only. International students who commenced a program in 2023 or prior can find their fee here.
| EFTSL | |||
|---|---|---|---|
| 0.125 | |||
 |
 |
Course Outline
A Course Outline which includes Learning Outcomes, Learning Resources, Learning & Teaching for this course may be accessed here
|
|
Critical Dates
| Term | Last Day to Add Online | Census Date | Last Day to WNF | Last Day to WF |
|---|---|---|---|---|
| 4220 | Mon 08/08/2022 | Wed 17/08/2022 | Fri 16/09/2022 | Fri 28/10/2022 |
|
|
Class Details
| Enrolment Class: Workshop | |||||||
|---|---|---|---|---|---|---|---|
| Class Nbr | Section | Size | Available | Dates | Days | Time | Location |
| 20581 | WR01 | 60 | 18 | 28 Jul - 15 Sep | Thursday | 12pm - 1pm | Barr Smith South, 2040, Teaching Room |
| 6 Oct - 27 Oct | Thursday | 12pm - 1pm | Barr Smith South, 2040, Teaching Room | Note: This class will be delivered both online and face to face. Please refer to MyUni for details once enrolled. | |||
| Related Class: Computer Exercise | |||||||
| Class Nbr | Section | Size | Available | Dates | Days | Time | Location |
| 21476 | CO01 | 40 | 4 | 26 Jul - 13 Sep | Tuesday | 10am - 11am | Engineering & Mathematics, EMG13, Computer Suite |
| 4 Oct - 25 Oct | Tuesday | 10am - 11am | Engineering & Mathematics, EMG13, Computer Suite | Note: This class is only available for face-to-face (on-campus) students. | |||
| 21479 | CO02 | 40 | 34 | 26 Jul - 13 Sep | Tuesday | 3pm - 4pm | MyUni, OL, Online Class |
| 4 Oct - 25 Oct | Tuesday | 3pm - 4pm | MyUni, OL, Online Class | Note: This class is for offshore / interstate students only. Where this requirement is not met, students risk being removed from this class. Please refer to MyUni for details once enrolled. | |||
|
|