Computational Bayesian Statistics - STATS326 (2020)
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):||STAT221 or STATS221 or STAT226 or STATS226 or at the discretion of the Paper Convenor.|
|Internal assessment / examination:||50:50|
Semesters and Locations
|Occurrence Code||When taught||Where taught|
|20B (HAM)||B Semester : 13 Jul 2020 - 8 Nov 2020||Hamilton|
The Timetable for 2020 is not available.
Fees for 2020 are not yet available.
The following 2019 paper outlines are available for STATS326. Please contact the Faculty or School office for details on 2020 outlines.
Other available years: Computational Bayesian Statistics - STATS326 (2019)
Paper details current as of : 16 August 2019 9:46am
Indicative fees current as of : 29 July 2019 3:04pm