Methods Weeks in Statistics

The Center for Statistics in Oldenburg and Bremen (ZeSOB) organizes Methods Weeks in Statistics.

The fourth Methods Week in Statistics from February 14th to 16th, 2024 had its focus on the topic 

“Efficient R Programming”

The course, jointly set up by Peter Ruckdeschel, Oldenburg University, and Lars Andersen, Boehringer Ingelheim Pharma GmbH & Co. KG, was targeted to practitioners and application-oriented statisticians. The focus was set on efficient programming in R, discussing strategies to optimize code for speed, while maintaining its readability and shareability. The workshop covered essential topics such as debugging and profiling in R, R's role in High Performance Computing, and how R interfaces with C++. We also delved into object-oriented programming in R as well as the process of R package development. 

The third Methods Week in Statistics originally scheduled for September 26th to 29th, 2022, and then postponed for illness reasons to March 13th to 16th, 2023, had its focus on the topic 

“Interpretable Machine Learning”

The course, jointly set up by Marvin N. Wright, BIPS Bremen/ Bremen University/ University of Copenhagen and Julia Herbinger, LMU Munich, was targeted to practitioners and application-oriented statisticians interested in machine learning. We started with a (brief) introduction to machine learning and covered a broad range of interpretability methods such as partial dependence plots, feature importance and Shapley values. 

The second Methods Week in Statistics from September 20th to 23rd, 2017 had its focus on the topic 

“Robust Statistics and Outlier Detection”

The course, jointly set up by Valentin Todorov, UNIDO, Vienna, and Peter Ruckdeschel, Oldenburg University, was targeted to practitioners and application-oriented statisticians. We presented a variety of procedures for outlier detection, robust alternatives to classical procedures, and corresponding diagnostics, together with their software implementation and their methodological background. Focus was on applications and on the appropriate choice of methods for concrete model classes and problems. More detailed information can be found here.

The first Methods Week in Statistics was from September 26th to 29th, 2016 on the topic:

“Simultaneous statistical inference and multiple testing”

The course, jointly set up by Frank Schaarschmidt, Leibniz University, Hanover, Thorsten Dickhaus and Werner Brannath, Bremen University, targeted to practitioners and application-oriented statisticians. After an introduction to the problem of multiple testing, we presented a variety of simultaneous inference methods and multiple test procedures, together with their software implementations and their methodological background. Focus was on applications and on the appropriate choice of methods for concrete model classes and problems.

More detailed information can be found here.

Coordinated Range of Modules

In the framework of the general cooperation agreement between the universities of Bremen and Oldenburg, students at each university can take modules offered at any of the two universities.

On top of this, since 2016, the Center for Statistics in Oldenburg and Bremen (ZeSOB) has been coordinating its Teaching Activities beyond introductory courses. In the current two semesters, we offer the following courses. 

Further details to these courses can be found in StudIP at the respective university. 

For courses from previous semesters, please consult the Archive.