Master's Programme in Mathematics and Statistics is responsible for the course.
The course belongs to the Statistics and Social statistics module.
The course is available to students from other degree programmes.
Knowledge in foundations of Bayesian statistics, model comparison and validation, decision analysis and experimental design
Recommended time/stage of studies for completion: 1. or 2. year
Term/teaching period when the course will be offered: varying
Foundations of Bayesian statistics, model comparison and validation, decision analysis and experimental design
Lecture notes and articles to be announced during the course
Lectures, exercises, computer exercises, project work
Exam and excercises, Course will be graded with grades 1-5
Exam, other methods will be described later