STK9021 - Applied Bayesian Analysis and Numerical Methods
Schedule, syllabus and examination date
Combination of different data sources and other types of information is becoming increasingly important in different types of analyses. Hierarchical models and Bayesian approaches have shown to be very useful in such settings. Bayesian approaches are closely linked to statistical computing, and in particular Monte Carlo methods. The course will present general Bayesian principles and computation of a posteriori distributions through Bayes' formulae. Bayesian methods will be discussed in relation to non-Bayesian methods, including empirical Bayes methods. Different kinds of computing methods will be discussed and illustrated on real problems and data. Asymptotic approximations, Monte Carlo methods and Markov chain Monte Carlo methods will in particular be discussed.
Principles for Bayesian methods, how to use Bayesian methods in practice, computational methods for complex models.
PhD candidates from the University of Oslo should apply for classes and register for examinations through Studentweb.
If a course has limited intake capacity, priority will be given to PhD candidates who follow an individual education plan where this particular course is included. Some national researchers’ schools may have specific rules for ranking applicants for courses with limited intake capacity.
PhD candidates who have been admitted to another higher education institution must apply for a position as a visiting student within a given deadline.
Recommended previous knowledge
- 7 credits overlap with STK4020 - Bayesian statistics (discontinued)
- 7 credits overlap with STK9020 - Bayesian statistics (discontinued)
- 3 credits overlap with STK4050 - Statistical simulations and computation (discontinued)
- 3 credits overlap with STK9050 - Statistical simulations and computation (discontinued)
- 10 credits overlap with STK4021 - Applied Bayesian Analysis and Numerical Methods
3 hours of lectures/exercises per week.
Depending on the number of students, the exam will be in one of the following four forms:
1. Only written exam
2. Only oral exam
3. A project paper followed by a written exam.
4. A project paper followed by an oral exam/hearing.
For the latter two the project paper and the exam counts equally and the final grade is based on a general impression after the final exam. (The two parts of the exam will not be individually graded.)
What form the exam will take will be announced by the teaching staff within October 15th for the autumn semester and March 15th for the spring semester.
In addition, each phd student is expected to give a one hour oral presentation on a topic of relevance (chosen in cooperation with the lecturer). The presentation has to be approved by the lecturer for the student to be admitted to the final exam.
Examination support material
Permitted aids at the exam if written: Approved calculator.
Oral exam: no aids permitted
Language of examination
Subjects taught in English will only offer the exam paper in English.
You may write your examination paper in Norwegian, Swedish, Danish or English.
Grades are awarded on a pass/fail scale. Read more about the grading system.
Explanations and appeals
Resit an examination
This course offers both postponed and resit of examination. Read more:
Withdrawal from an examination
It is possible to take the exam up to 3 times. If you withdraw from the exam after the deadline or during the exam, this will be counted as an examination attempt.
Special examination arrangements
Application form, deadline and requirements for special examination arrangements.
The course is subject to continuous evaluation. At regular intervals we also ask students to participate in a more comprehensive evaluation.