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.

Teaching Periods and Locations


18B (HAM) Paper outline	B Trimester : 09 Jul 2018 - 04 Nov 2018	Hamilton	On-campus	50% internal assessment, 50% examinations

Timetabled lectures and tutorials

18B (HAM)

Name	Day	Time	Room	Dates
Lecture 1	Tue	2:00 PM - 4:00 PM	-	Jul 10 - Oct 14
Lecture 2	Thur	2:00 PM - 4:00 PM	-	Jul 12 - Oct 14

Visit the online timetable for this paper for more details

Indicative Fees

Domestic

International


18B (HAM)	$1,000

You will be sent an enrolment agreement which will confirm your fees. Tuition fees shown 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.


18B (HAM)	$3,877

You will be sent an enrolment agreement which will confirm your fees. Tuition fees shown 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.

Available subjects

Data Analytics

Additional information

Subject regulations

STAT326