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):||Prerequisite papers: At least one of MATH101, MATH102, MATHS101, MATHS102, STAT111, STAT121, STATS111, or STATS121.|
|Internal assessment / examination:||50:50|
Note: This paper is normally available only to students enrolled for the BBA(Fin) and BMS degrees or certain related programmes of study, such as BSocSc Economics majors. Students with 18 credits at Level 2 in NCEA Mathematics or better may choose STAT121 in place of STAT160.
Semesters and Locations
|Occurrence Code||When taught||Where taught|
|18B (HAM)||B Semester : 9 Jul 2018 - 4 Nov 2018||Hamilton|
Timetabled Lectures for Bayesian Statistics (STATS226)
|Mon||11:00 AM||12:00 PM||K.G.06||Jul 9 - Oct 14|
|Wed||9:00 AM||11:00 AM||K.G.01||Jul 9 - Oct 14|
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 : 19 July 2018 11:44am
Indicative fees current as of : 5 June 2018 4:30am