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.

Paper Information

Points: 15.0
Prerequisite(s): At least one of MATH101, MATH102, MATHS101, MATHS102, STAT111, STAT121, STATS111, or STATS121.
Internal assessment / examination: 50:50
Restriction(s): STAT226

Semesters and Locations

Occurrence Code When taught Where taught
20B (HAM)B Semester : 13 Jul 2020 - 8 Nov 2020 Hamilton

Timetabled Lectures

The Timetable for 2020 is not available.


Indicative Fees

Fees for 2020 are not yet available.


Paper Outlines

The following 2019 paper outlines are available for STATS226. Please contact the Faculty or School office for details on 2020 outlines.

Additional Information

Available Subjects:  Data Analytics | Mathematics | Statistics

Other available years: Bayesian Statistics - STATS226 (2019) , Bayesian Statistics - STATS226 (2018)

Paper details current as of : 16 August 2019 9:46am
Indicative fees current as of : 29 July 2019 3:04pm

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