Computational Bayesian Statistics - STAT326 (2017)

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: 1:0

Trimesters and Locations

Occurrence Code When taught Where taught
17B (HAM)B Trimester : 10 Jul 2017 - 29 Oct 2017 Hamilton

Timetabled Lectures

The Timetable for 2017 is not available.

Indicative Fees for Computational Bayesian Statistics (STAT326)

Occurrence Domestic International
 Tuition Resource 
17B (HAM) $980 $0 $4663
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 Computational Bayesian Statistics (STAT326)

The following paper outlines are available for Computational Bayesian Statistics (STAT326).
If your paper occurrence is not listed contact the Faculty or School office.

Additional Information

Available Subjects:  Statistics

Other available years: Computational Bayesian Statistics - STAT326 (2018)

Paper details current as of : 20 March 2020 8:55am
Indicative fees current as of : 31 January 2020 4:26pm

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