STATS226

Bayesian Statistics

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.

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.

Paper Information

Points: 15.0
Prerequisite(s): At least one of MATH101, MATH102, MATHS101, MATHS102, STAT111, STAT121, STATS111, or STATS121.
Restriction(s): STAT226
Internal assessment / examination: 1:1

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 : Jul 09 - Nov 04, 2018 Hamilton

Timetabled Lectures for Bayesian Statistics (STATS226)

DayStartEndRoomDates
Mon11:00 AM12:00 PMK.G.01Jul 9 - Oct 14
Wed9:00 AM11:00 AMK.G.01Jul 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)

Occurrence Domestic International
 Tuition Resource 
18B (HAM) $750 $0 $2908
You will be sent an enrolment agreement which will confirm your fees.
Tuition fees shown below are indicative only and may change. There are additional fees and charges related to enrolment - please see the Table of Fees and Charges for more information.

Paper Outlines

Paper outlines are currently not available for this paper. Please contact the Faculty or School office for further details.

Additional Information

Available Subjects:  Data Analytics | Mathematics

Paper details current as of : 13 December 2017 3:08pm
Indicative fees current as of : 14 December 2017 4:30am

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