Modern Topics in Statistics

Course content

The course will be concerned with selected modern topics in statistics such as, for example, causal inference, analysis of high-dimensional data and multiple testing problems.

Education

MSc Programme in Statistics

MSc Programme in Mathematics-Economics

Learning outcome

Knowledge:

  • Basic knowledge of the topics covered
     

Skills:

  • Ability to practically apply the methods discussed in the course
  • Understand theoretical guarantees for the discussed methods
  • Understand limitations of the discussed methods
     

Competences:

  • Ability to analyze high-dimensional data
  • Perform theoretical analyses of statistical methods for high-dimensional data

Four hours of lectures and three hours of exercises per week for 7 weeks.

Selected book chapters and articles from the literature.

Basic mathematical statistics and probability based on measure theory.
For example: Measures and Integrals + Mathematical Statistics or equivalent.

Academic qualifications equivalent to a BSc degree is recommended.

Continuous feedback during the course of the semester
ECTS
7,5 ECTS
Type of assessment
Written assignment, 27 hours
27 hour written take-home assignment.
Aid
All aids allowed
Marking scale
7-point grading scale
Censorship form
No external censorship
One internal examiner
Criteria for exam assessment

Student must in a satisfactory way demonstrate understanding of the covered topics.

Single subject courses (day)

  • Category
  • Hours
  • Exam
  • 27
  • Preparation
  • 130
  • Lectures
  • 28
  • Exercises
  • 21
  • English
  • 206