Bayesian Statistics, Simulation and Software


Prerequisite/Recommended prerequisite for participation in the module

The module builds on knowledge obtained by the module Statistical Inference for Linear Models.

Content, progress and pedagogy of the module

The aim of the course is for students to gain experience and understanding of Bayesian statistics, simulation based statistical inference and how to implement simulation based Bayesian inference in practice on a computer.

Learning objectives


  • has knowledge of the Bayesian principle including (conjugate) priors

  • has knowledge of algorithms used for Bayesian inference such as e.g. the Gibbs sampler and the Metropolis-Hastings algorithm

  • has knowledge of the theory of Markov chain Monte Carlo methods such as e.g. irreducibility, aperiodicity and invariant densities

  • has knowledge of practical challenges when using simulation based inference such as e.g. tuning, acceptance rates and burn-in


  • can apply the relevant methodologies from the course to conduct a Bayesian analysis of a given data set

  • can state the underlying assumptions and argue about limitations and extensibility of the chosen methodologies


  • can implement a relevant algorithm from the course to conduct simulation based Bayesian inference

Extent and expected workload


This is a 5 ECTS project module and the work load is expected to be 137,5 hours for the student.


Prerequisite for enrollment for the exam

  • In order to participate in the course exam, students on the master level must have actively participated in course progress by way of one or several independent oral and/or written contributions.


Name of examBayesian Statistics, Simulation and Software
Type of exam
Written or oral exam
AssessmentPassed/Not Passed
Type of gradingInternal examination
Criteria of assessmentThe criteria of assessment are stated in the Examination Policies and Procedures

Facts about the module

Danish titleBayesiansk statistik, simulering og software
Module codeK-MAT1-BAYES
Module typeCourse
Duration1 semester
Language of instructionDanish
Empty-place SchemeYes
Location of the lectureCampus Aalborg
Responsible for the module


Study BoardStudy Board of Mathematical Sciences
DepartmentDepartment of Mathematical Sciences
FacultyFaculty of Engineering and Science