STK4021 – Applied Bayesian Analysis
Course description
Schedule, syllabus and examination date
Course content
Learning outcome
After completing the course you:
- can handle the general Bayesian principles and the foundation for Bayesian analysis
- have knowledge about how a priori insight can be formulated as a priori distributions through Bayes’ formula
- know of the relations between Bayesian and non-Bayesian methods, including empirical Bayes methods
- have knowledge about the principles behind hierarchical models
- can handle various computational methods for simple and hierarchical models (including asymptotic considerations, Monte Carlo methods and Markov Chain Monte Carlo methods)
- are able to use the computational methods taught in the course on real problems and data, and also interpret the results.
Admission to the course
Students admitted at UiO must apply for courses in Studentweb. Students enrolled in other Master's Degree Programmes can, on application, be admitted to the course if this is cleared by their own study programme.
Nordic citizens and applicants residing in the Nordic countries may apply to take this course as a single course student.
If you are not already enrolled as a student at UiO, please see our information about admission requirements and procedures for international applicants.
Recommended previous knowledge
Overlapping courses
- 10 credits overlap with STK9021 – Applied Bayesian Analysis.
- 7 credits overlap with STK4020 – Bayesian statistics (discontinued).
- 3 credits overlap with STK4050 – Statistical simulations and computation (discontinued).
Teaching
3 hours of lectures/exercises per week throughout the semester.
The course may be taught in Norwegian if the lecturer and all students at the first lecture agree to it.
Upon the attendance of three or fewer students, the lecturer may, in conjunction with the Head of Teaching, change the course to self-study with supervision.
Examination
Final written exam or final oral exam, which counts 100 % towards the final grade.
The form of examination will be announced by the lecturer by 15 October/15 March for the autumn semester and the spring semester respectively.
This course has 1 mandatory assignment that must be approved before you can sit the final exam.
It will also be counted as one of the three attempts to sit the exam for this course, if you sit the exam for one of the following courses: STK9021 – Applied Bayesian Analysis
Examination support material
Written examination: Approved calculators are allowed. Information about approved calculators in Norwegian.
Oral examination: No examination support material is allowed.
Language of examination
Grading scale
Resit an examination
This course offers both postponed and resit of examination. Read more:
More about examinations at UiO
- Use of sources and citations
- How to use AI as a student
- Special exam arrangements due to individual needs
- Withdrawal from an exam
- Illness at exams / postponed exams
- Explanation of grades and appeals
- Resitting an exam
- Cheating/attempted cheating
You will find further guides and resources at the web page on examinations at UiO.