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.
|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|
|20B (HAM)||B Semester : 13 Jul 2020 - 8 Nov 2020||Hamilton|
The Timetable for 2020 is not available.
Fees for 2020 are not yet available.
The following 2019 paper outlines are available for STATS226. Please contact the Faculty or School office for details on 2020 outlines.
Paper details current as of : 3 September 2019 10:51am
Indicative fees current as of : 29 July 2019 3:04pm