Bayesian Statistics, 7.5 credits

Main field of study

Course level

Advancement level

Course offered for

• Bachelor´s Programme in Statistics and Data Analysis

Intended learning outcomes

After completion of the course, the student should be able to

- describe the main concepts in Bayesian statistics
- explaine the differences between frequentist and Bayesian statistics
- use the most common statistical methods in Bayesian inference
- choose suitable models for Bayesian inference of various practical problems
- use statistical software to solve statistical problems
- compare the results from frequentist and Bayesian methods on given practical problem

Course content

The course consists of general concepts and methods in Bayesian statistics. In addition, MCMC is implemented as a tool to estimate more complicated models in which an analytical form of the posterior is not possitble.
Contents:

- subjective probabilities
- Bayes' theorem
- prior distribution
- sensitivity analysis of prior distributions
- likelihood function
- posterior distribution
- credible interval
- model evaluation
- MCM

Teaching and working methods

The teaching comprises lectures, tutorials, seminars, and computer sessions. Homework and independent study are a necessary complement to the course.

Examination

Written examination. Written reports. Detailed information about the examination can be found in the courses study guide.

Students failing an exam covering either the entire course or part of the course twice are entitled to have a new examiner appointed for the reexamination.

Students who have passed an examination may not retake it in order to improve their grades.

Grades

Other information

Planning and implementation of a course must take its starting point in the wording of the syllabus. The course evaluation included in each course must therefore take up the question how well the course agrees with the syllabus. 

The course is carried out in such a way that both men´s and women´s experience and knowledge is made visible and developed.

Department