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 |
Semesters and Locations
| Occurrence Code | When taught | Where taught |
|---|---|---|
| 20B (HAM) | B Semester : 13 Jul 2020 - 8 Nov 2020 | Hamilton |
Timetabled Lectures
The Timetable for 2020 is not available.
Indicative Fees
Fees for 2020 are not yet available.
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 : 16 August 2019 9:46am
Indicative fees current as of : 29 July 2019 3:04pm