THE UNIVERSITY of EDINBURGH

DEGREE REGULATIONS & PROGRAMMES OF STUDY 2019/2020

University Homepage
DRPS Homepage
DRPS Search
DRPS Contact
DRPS : Course Catalogue : School of Mathematics : Mathematics

Postgraduate Course: Bayesian Data Analysis (MATH11175)

Course Outline
SchoolSchool of Mathematics CollegeCollege of Science and Engineering
Credit level (Normal year taken)SCQF Level 11 (Postgraduate) AvailabilityNot available to visiting students
SCQF Credits10 ECTS Credits5
SummaryThe course will provide the students with practical experience of applying Bayesian analyses to a range of statistical models. The statistical analyses will be conducted using the widely used computer package BUGS/JAGS. An introduction to BUGS/JAGS will be provided with additional hands-on experience. Assessment will be by written reports of Bayesian data analyses.
Course description 1. Basic principles of applied Bayesian analyses.
2. Introduction to BUGS/JAGS.
3. Generalised linear models with applications to real data using BUGS/JAGS.
4. Mixed effects models.
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Students MUST have passed: Bayesian Theory (MATH11177)
Co-requisites
Prohibited Combinations Other requirements None
Course Delivery Information
Academic year 2019/20, Not available to visiting students (SS1) Quota:  None
Course Start Semester 2
Timetable Timetable
Learning and Teaching activities (Further Info) Total Hours: 100 ( Lecture Hours 12, Seminar/Tutorial Hours 10, Programme Level Learning and Teaching Hours 2, Directed Learning and Independent Learning Hours 76 )
Assessment (Further Info) Written Exam 0 %, Coursework 100 %, Practical Exam 0 %
Additional Information (Assessment) Coursework 100%, Examination 0%
Feedback Not entered
No Exam Information
Learning Outcomes
On completion of this course, the student will be able to:
  1. Demonstrate knowledge and practical experience of BUGS/JAGS.
  2. Choose and apply appropriate Bayesian statistical models and interpret the results.
  3. Prepare reports on Bayesian statistical analyses.
Reading List
Bayesian Data Analysis (3rd edition). Gelman, Carlin, Stern, Dunson, Vehtari and Rubin. CRC Press

The BUGS Book: A Practical Introduction to Bayesian Analysis. Lunn, Jackson, Best, Thomas and Spiegelhalter. CRC Press
Additional Information
Graduate Attributes and Skills Not entered
KeywordsBDAn,bayesian,data analysis,statistics,BUGS/JAGS
Contacts
Course organiserDr Daniel Paulin
Tel:
Email:
Course secretaryMiss Gemma Aitchison
Tel: (0131 6)50 9268
Email:
Navigation
Help & Information
Home
Introduction
Glossary
Search DPTs and Courses
Regulations
Regulations
Degree Programmes
Introduction
Browse DPTs
Courses
Introduction
Humanities and Social Science
Science and Engineering
Medicine and Veterinary Medicine
Other Information
Combined Course Timetable
Prospectuses
Important Information