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)
Paper Outlines for Bayesian Statistics (STATS226)
The following paper outlines are available for Bayesian Statistics (STATS226).
If your paper occurrence is not listed contact the Faculty or School office.
Paper details current as of : 18 February 2020 4:25pm
Indicative fees current as of : 31 January 2020 4:26pm