The two main research areas at the Seminar for Statistics are high-dimensional statistics and causal inference.
In our Master’s degree programme you develop statistical thinking, learn to apply methods and gain an overview of the most important statistical models and procedures.
The course is aimed at scientists - especially from the natural and technical sciences - for whom statistical data analysis forms an integral part of their work.
The Seminar for Statistics offers a statistical consulting service as well as software courses.
Professors Habib Ammari and Peter Bühlmann have been selected to the list of "Highly Cited Researchers 2016" published by Clarivate Analytics.
The Centrum Wiskunde & Informatica in Amsterdam has awarded the 2016 Van Wijngaarden Award to Professor Sara van de Geer.
Laura Buzdugan successfully defended her doctoral thesis entitled: "Assessing statistical significance in genome wide association studies". Congratulations!
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08 December 2016 -
ZüKoSt Zürcher Kolloquium über Statistik
«Opportunities and Challenges of Statistics in Health Technology Assessment»
in HG G 19.1
13 December 2016 -
Research Seminar in Statistics
«Robust fitting of state-space models with application to fish stock assessments»
in HG G 19.2