Bayesian Statistics - STATS226 (2019)

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
19B (HAM)B Semester : 8 Jul 2019 - 3 Nov 2019 Hamilton

Timetabled Lectures for Bayesian Statistics (STATS226)

DayStartEndRoomDates
Mon11:00 AM1:00 PMMSB.1.03Jul 8 - Oct 13
Wed10:00 AM11:00 AMK.G.01Jul 8 - Oct 13

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 
19B (HAM) $765 $0 $3053
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 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.

Additional Information

Available Subjects:  Data Analytics | Mathematics | Statistics

Other available years: Bayesian Statistics - STATS226 (2020) , Bayesian Statistics - STATS226 (2018)

Paper details current as of : 3 September 2019 10:51am
Indicative fees current as of : 29 July 2019 3:04pm

This page has been reformatted for printing.