Statistical problems and statistical models Decision - theoretic foundations in statistics Prior information and prior distributions Bayesian inference Decision-theoretic testing Model choice.

After completion of the course, attendants will

• have a solid background in statistical theory,

• understand the principles underlying model choice and hypothesis testing.

• be able to apply advanced statistical methods to solve real-world problems

This course is taught as a lecture combined with homework assignments.

In combination with the lecture, homework assignments will help students to consolidate and expand their knowledge and understanding by developing solutions to theoretical and applied problems, and have to be submitted every week via email to the lecturer. Solutions will be discussed in class based on individual students' presentations at the beginning of each unit.

40% homework assignments

40% final oral exam

20% group discussions

kurt.hornik@wu.ac.at