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MT5831 Advanced Bayesian Inference

SCOTCAT credits:20
Academic year(s):2017/8
SCQF Level 11
Planned timetable:10.00 am Mon (even weeks), Tue and Thu

This module consists of MT4531 with an additional project which will give consideration to some more advanced aspects of the theory or to the application of Bayesian techniques. This may involve either directed reading or the use of the computer for simulation or data-based analyses. The syllabus includes Bayes' theorem, inference for Normal samples; univariate Normal linear regression; principles of Bayesian computational, Markov chain Monte Carlo - theory and applications.

Place in programme(s) and relationship to other modules


MT5701 or MT5831 is compulsory for MMath Statistics.

Optional for all other undergraduate programmes in the School.

UG Pre-requisite(s):MT3507 or MT3606
UG Anti-requisite(s):MT4531


Optional for all Postgraduate Programmes within the School of Mathematics & Statistics.

PG Anti-requisite(s):MT4531

Learning and teaching methods and delivery

Weekly contact:24 lectures and 7 practical classes over semester.
Total module hours:
  • Scheduled learning: 31
  • Guided independent study: 169

Assessment pattern

UG As defined by QAA:
  • Written examinations: 60%
  • Practical examinations: 0%
  • Coursework: 40%
UG As used by St Andrews:2-hour Written Examination = 60%, Coursework = 40%
UG Re-assessment:2-hour Written Examination = 100%
Postgraduate Assessment :2-hour Written Examination = 60%, Coursework = 40%


Module coordinator:Dr M Papathomas
Module teaching staff:Dr M Papathomas