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MT4531   Bayesian Inference

Academic year(s): 2018-2019

Key information

SCOTCAT credits : 15

ECTS credits : 7

Level : SCQF level 10

Semester: 1

Availability restrictions: Not automatically available to General Degree students

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.

Relationship to other modules

Pre-requisite(s): Before taking this module you must pass MT3506 or pass MT3507 or pass MT3508

Anti-requisite(s): You cannot take this module if you take MT5831

Learning and teaching methods and delivery

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

Scheduled learning hours: 31

Guided independent study hours: 119

Assessment pattern

As used by St Andrews: 2-hour Written Examination = 80%, Coursework = 20%

As defined by QAA
Written examinations : 80%
Practical examinations : 0%
Coursework: 20%

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


Module teaching staff: Dr M Papathomas