Bayesian Statistics - STATS226 (2020)
This paper introduces statistical methods from a Bayesian perspective, which gives a coherent approach to the problem of revising beliefs given relevant data. It is particularly relevant for data analytics, statistics, mathematics and computer science.
Paper Information
| Points: | 15.0 |
|---|---|
| Prerequisite(s): | At least one of MATH101, MATH102, MATHS101, MATHS102, STAT111, STAT121, STATS111, or STATS121. |
| Internal assessment / examination: | 50:50 |
| Restriction(s): | STAT226 |
Trimesters and Locations
| Occurrence Code | When taught | Where taught |
|---|---|---|
| 20B (HAM) | B Trimester : 13 Jul 2020 - 8 Nov 2020 | Hamilton |
Timetabled Lectures for Bayesian Statistics (STATS226)
| Day | Start | End | Room | Dates |
|---|---|---|---|---|
| Mon | 11:00 AM | 1:00 PM | MSB.1.03 | Jul 13 - Oct 18 |
| Wed | 10:00 AM | 11:00 AM | K.G.01 | Jul 13 - Oct 18 |
NB:There may be other timetabled events for this paper such as tutorials or workshops.
Visit the online timetable for STATS226 for more details
Indicative Fees for Bayesian Statistics (STATS226)
| Occurrence | Domestic | International | |
|---|---|---|---|
| Tuition | Resource | ||
| 20B (HAM) | $780 | $0 | $3145 |
Paper Outlines
The following 2019 paper outlines are available for STATS226. Please contact the Faculty or School office for details on 2020 outlines.
Additional Information
Available Subjects: Data Analytics | Mathematics | Statistics
Other available years: Bayesian Statistics - STATS226 (2019) , Bayesian Statistics - STATS226 (2018)
Paper details current as of : 20 March 2020 8:55am
Indicative fees current as of : 31 January 2020 4:26pm