Bayesian Statistics - STATS226 (2019)
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.
|Prerequisite(s):||At least one of MATH101, MATH102, MATHS101, MATHS102, STAT111, STAT121, STATS111, or STATS121.|
|Internal assessment / examination:||50:50|
Semesters and Locations
|Occurrence Code||When taught||Where taught|
|19B (HAM)||B Semester : 8 Jul 2019 - 3 Nov 2019||Hamilton|
Timetabled Lectures for Bayesian Statistics (STATS226)
|Mon||11:00 AM||1:00 PM||MSB.1.03||Jul 8 - Oct 13|
|Wed||10:00 AM||11:00 AM||K.G.01||Jul 8 - Oct 13|
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)
The following 2018 paper outlines are available for STATS226. Please contact the Faculty or School office for details on 2019 outlines.
Other available years: Bayesian Statistics - STATS226 (2018)
Paper details current as of : 18 June 2019 9:47am
Indicative fees current as of : 5 February 2019 5:10pm