STAT536

Bayesian Inference

This paper extends material taught in STAT326 and studies advanced topics in Bayesian methods, including advanced MCMC methods, sequential MC methods, non-MCMC methods, and theoretical foundations of Bayesian inference.

This paper extends material taught in STAT326 and studies advanced topics in Bayesian methods, including advanced MCMC methods, sequential MC methods, non-MCMC methods, and theoretical foundations of Bayesian inference.

Paper Information

Points: 30.0
Prerequisite(s): Admission is at the discretion of the Chairperson of Department.
Internal assessment / examination: 67:33
Restriction(s): STAT326

Semesters and Locations

Occurrence Code When taught Where taught
18B (HAM)B Semester : 9 Jul 2018 - 4 Nov 2018 Hamilton

Timetabled Lectures for Bayesian Inference (STAT536)

There are no timetabled lectures for STAT536.

NB:There may be other timetabled events for this paper such as tutorials or workshops.
Visit the online timetable for STAT536 for more details


Indicative Fees for Bayesian Inference (STAT536)

Occurrence Domestic International
 Tuition Resource 
18B (HAM) $1898 $0 $7165
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

Paper outlines are currently not available for this paper. Please contact the Faculty or School office for further details.

Additional Information

Available Subjects:  Statistics | Data Analytics

Other available years: Bayesian Inference - STAT536 (2017)

Paper details current as of : 21 May 2018 4:26pm
Indicative fees current as of : 5 June 2018 4:30am

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