Information

• The course is usually offered in winter term.
• In addition to the lecture, practices are offered during which problems from the lectures are being discussed and solved.
• Please use KLIPS2.0 for finding information on dates of lectures and practices.

Contents and objectives of the module

Students learn advanced, specialized methods in the field of statistics.
Real-world issues and challenges are analyzed, and findings and research results of specialized theories/ methods are evaluated and discussed. Students develop working processes for real-world problems and challenges.

• Probability theory: distributions, (conditional) density functions.
• Linear (multiple) regression, conditional expected value function.
• Assumptions, model selection, hypothesis testing
• Maximum likelihood
• Time series