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MT5831   Advanced Bayesian Inference

Academic year(s): 2018-2019

Key information

SCOTCAT credits : 20

ECTS credits : 10

Level : SCQF level 11

Semester: 1

Availability restrictions: Not automatically available to General Degree students

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.

Relationship to other modules

Pre-requisite(s): Before taking this module you must pass MT3507 or pass MT3508

Anti-requisite(s): You cannot take this module if you take MT4531

Learning and teaching methods and delivery

Weekly contact: 24 lectures and 7 practical classes over semester.

Scheduled learning hours: 31

Guided independent study hours: 169

Assessment pattern

As used by St Andrews: 2-hour Written Examination = 60%, Coursework = 40%

As defined by QAA
Written examinations : 60%
Practical examinations : 0%
Coursework: 40%

Re-assessment: 2-hour Written Examination = 100%


Module teaching staff: Dr M Papathomas