Computational Bayesian Statistics - STATS326 (2022)
Bayesian approach has the potential to model any complex real life problem. In practice, Bayesian methods are implemented using various computational algorithms. This paper introduces the basics of some of the most widely used computational methods, viz the ABC method and the MCMC methods.
|Prerequisite(s):||STATS221 or STATS222 or STATS226 or by the permission of the Chairperson of Department.|
|Internal assessment / examination:||50:50|
Trimesters and Locations
|Occurrence Code||When taught||Where taught|
|22B (HAM)||B Trimester : 18 Jul 2022 - 13 Nov 2022||Hamilton|
The Timetable for 2022 is not available.
Fees for 2022 are not yet available.
The following 2021 paper outlines are available for STATS326. Please contact the Faculty or School office for details on 2022 outlines.
Paper details current as of : 16 September 2021 6:58pm
Indicative fees current as of : 17 September 2021 4:30am