Bayesian Statistics - STATS226 (2018)
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|
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|
The Timetable for 2018 is not available.
Indicative Fees for Bayesian Statistics (STATS226)
Paper Outlines for Bayesian Statistics (STATS226)
The following paper outlines are available for Bayesian Statistics (STATS226).
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Paper details current as of : 26 February 2020 3:05pm
Indicative fees current as of : 31 January 2020 4:26pm