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MT4531 Bayesian Inference

SCOTCAT credits:15
Academic year(s):2017/8
Level:
SCQF Level 10
Semester:1
Planned timetable:10.00 am Mon (even weeks), Tue and Thu

This module is intended to offer a re-examination of standard statistical problems from a Bayesian viewpoint and an introduction to recently developed computational Bayes methods. 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

Undergraduate

At least two of MT4531 (or MT5831), MT4608 and MT4609 compulsory for BSc Statistics. MT4531 or MT4606 (or MT5831 or MT5701) compulsory for BSc/MA joint Honours Statistics programmes.

Optional for all other undergraduate programmes in the School of Mathematics & Statistics.

UG Pre-requisite(s):MT3507 or MT3606
UG Anti-requisite(s):MT5831

Learning and teaching methods and delivery

Weekly contact:24 lectures and 7 practical classes over the semester.
Total module hours:
  • Scheduled learning: 31
  • Guided independent study: 119

Assessment pattern

UG As defined by QAA:
  • Written examinations: 80%
  • Practical examinations: 0%
  • Coursework: 20%
UG As used by St Andrews:2-hour Written Examination = 80%, Coursework = 20%
UG Re-assessment:2-hour Written Examination = 100%

Personnel

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