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.
|Prerequisite(s):||Admission is at the discretion of the Chairperson of Department.|
|Internal assessment / examination:||67:33|
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)
Paper outlines are currently not available for this paper. Please contact the Faculty or School office for further details.
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