Colloquium "Advanced Statistics" (DokSem15), Master & Promotion

Semester: SS 2015
Study Courses: Wirtschaftsinformatik, BWL, EFP, Wirtschaft und Recht, Wirtschaftspädagogik
Credit Points: 12 CP
Contact person: Univ.-Prof. Dr.-Ing. Wolfgang Maaß


In many areas which are dominated by empirical research, e.g. economy, psychology or sociology, scientific research consists of the analysis of complex systems. The dependencies in these systems are unknown and a stochastic approach appears reasonable. By implication, the assumptions about the stochastic terms have a direct impact on the results of the research program.

To include this circumstance, the model should implement any information given and update the model if it appears necessary. This is the main characteristic of Bayesian Statistics, which focus lies on conditional probabilities. This approach enables an inductive model update or model learning via Bayes´ Rule, which takes every information given into account.

This course imparts the basic principles of the Bayesian approach and compares them with non-Bayesian methods which are widely used in many scientific domains. Furthermore, some practical applications with the software program R are also part of this course.

Dates and Rooms



  • Hoff, P. D. (2009) A First Course in Bayesian Statistical Methods NY, Springer.


Master or Ph.D. students can participate in the colloquium. Please, registrate via ISS eLearning platform.

The number of participants is limited to 6 - 10 students.

Master students have to prepare a topic by writing a paper and presenting the results. Paper and presentations will represent 45 and 40 percent of the final grad. Additionally, the active participation in discussions during all sessions is will be calculated as 15% of the final grade.

Ph.D. students have to prepare all topics to be able to discuss. Furthermore, they will lead the discussion of one empirical or statistical topic that they worked out in detail. Grading of this course consists of leadership-performance (60%) as well as general participation in the course (40%).