STK9180 – Confidence distributions
Schedule, syllabus and examination date
Confidence distributions are posterior distributions obtained without priors. In contrast to Bayesian posteriors they are unbiased distributions for parameters. Statistical inference with confidence distributions synthesises Bayesian and frequentist inference, which are in conflict.
This course gives a general introduction to the construction and uses of confidence distributions in different settings, from simple parametric models to more complicated situations. Confidence distributions are useful for applied inference and reporting. It provides a platform for effectively combining information across different information sources (meta-analysis). Statistical inference with confidence distributions, and also other non-Bayesian distributional inference, is in rapid development.
The course gives the background and tools for constructing, interpreting and using confidence distributions in a wide spectrum of models and situations, including problems related to combining information across diverse data sources.
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
STK1100 – Probability and statistical modelling, STK1110 – Statistical methods and data analysis , STK2120 – Statistical Methods and Data Analysis 2 (discontinued) and STK4100 – Introduction to generalized linear models.
10 credits overlap with STK4180 – Confidence distributions
For information about the potential partial overlap with other courses, contact the Department.
2 + 1 lectures/exercises per week.
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.
1 project assignment and a 4-hour written examination. Final mark based on both the project assignment and final written examination.
Examination support material
Project assignment: All support materials are allowed.
Written examination: Each student may bring 1 hand-written sheet of paper.
Language of examination
You may write your examination paper in Norwegian, Swedish, Danish or English.
Grades are awarded on a scale from A to F, where A is the best grade and F is a fail. 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.