STK9180 – Confidence distributions

Schedule, syllabus and examination date

Choose semester

Changes in the course due to coronavirus

Autumn 2020 we plan for teaching and examinations to be conducted as described in the course description and on semester pages. However, changes may occur due to the corona situation. You will receive notifications about any changes at the semester page and/or in Canvas.

Spring 2020: Teaching and examinations was digitilized. See changes and common guidelines for exams at the MN faculty spring 2020.

Course content

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.

Learning outcome

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.

Admission to the course

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.

Overlapping courses

Teaching

2 + 1 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

Project assignment which counts 50 % towards the final grade. Final written exam 4 hours which counts 50 % towards the final grade.

When writing a project assignment make sure to familiarize yourself with the rules for use of sources and citations. Breach of these rules may lead to suspicion of attempted cheating.

Each PhD candidate is expected to give an oral presentation on a topic of relevance chosen in cooperation with the lecturer. The presentation has to be approved by the lecturer 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: STK4180 – Confidence distributions

Examination support material

For project assignment: All support material is allowed.

For written examination: Each student may bring one hand-written sheet of A4-paper.

Language of examination

Courses taught in English will only offer the exam paper in English. You may write your examination paper in Norwegian, Swedish, Danish or English.

Grading scale

Grades are awarded on a pass/fail scale. Read more about the grading system.

Resit an examination

This course offers both postponed and resit of examination. Read more:

Special examination arrangements, use of sources, explanations and appeals

See more about examinations at UiO

Last updated from FS (Common Student System) Aug. 9, 2020 2:21:12 PM

Facts about this course

Credits
10
Level
PhD
Teaching
Autumn

Taught according to demand and resources. Contact studieinfo@math.uio.no if you are interested in this course.

Teaching language
English