Schedule, syllabus and examination date

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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

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

10 credits overlap with STK4180 – Confidence distributions

For information about the potential partial overlap with other courses, contact the Department.

Teaching

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.

Examination

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.

Grading scale

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.

Evaluation

The course is subject to continuous evaluation. At regular intervals we also ask students to participate in a more comprehensive evaluation.

Facts about this course

Credits

10

Level

PhD

Teaching

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

Examination

The same semester as taught.

Teaching language

English

The course may be taught in Norwegian if the lecturer and all students at the first lecture agree to it.