STAT326

Computational Bayesian Statistics

Bayesian inference can be performed on random samples from the posterior distribution, even when it is known only in the proportional form. A sample from a candidate distribution can be reshaped, or the sample can be drawn from a Markov chain that has the posterior as its long-run distribution (MCMC). In this paper, the emphasis is on the computer implementation of these methods.

Bayesian inference can be performed on random samples from the posterior distribution, even when it is known only in the proportional form. A sample from a candidate distribution can be reshaped, or the sample can be drawn from a Markov chain that has the posterior as its long-run distribution (MCMC). In this paper, the emphasis is on the computer implementation of these methods.

Paper Information

Points: 20.0
Prerequisite(s): STAT221 or STAT226
Internal assessment / examination: 1:1

Semesters and Locations

Occurrence Code When taught Where taught
18B (HAM)B Semester : Jul 09 - Nov 04, 2018 Hamilton

Timetabled Lectures for Computational Bayesian Statistics (STAT326)

DayStartEndRoomDates
Tue2:00 PM4:00 PMG.3.33Jul 9 - Oct 14
Thu2:00 PM4:00 PMG.3.33Jul 9 - Oct 14

NB:There may be other timetabled events for this paper such as tutorials or workshops.
Visit the online timetable for STAT326 for more details


Indicative Fees for Computational Bayesian Statistics (STAT326)

Occurrence Domestic International
 Tuition Resource 
18B (HAM) $1000 $0 $3877
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

The following 2017 paper outlines are available for STAT326. Please contact the Faculty or School office for details on 2018 outlines.

Additional Information

Available Subjects:  Data Analytics

Other available years: Computational Bayesian Statistics - STAT326 (2017)

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

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