Statistical Models
The topic of the course is parametric statistical inference, in particular statistical theory for exponential families.
The course covers likelihood methods, exponential families, multivariate models, regression models, Fisher information and asymptotic results. The course is theoretical. It aims not only at a widening of the statistical toolbox but also at a deeper understanding of statistical methods and models, whereas concrete applications are more in the background.
-
Course structure
The course consists of one element, assessed with a written examination.
Teaching format
Instruction is given in the form of lectures and exercise sessions.
Assessment
The course is assessed through written examination.
Examiner
A list of examiners can be found on
-
Schedule
The schedule will be available no later than one month before the start of the course. We do not recommend print-outs as changes can occur. At the start of the course, your department will advise where you can find your schedule during the course. -
Course literature
Note that the course literature can be changed up to two months before the start of the course.
Sundberg: Statistical Modelling by Exponential Families. Provided by the department.
-
Course reports
-
More information
-
Contact
