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.
Laura Buzdugan successfully defended her doctoral thesis entitled: "Assessing statistical significance in genome wide association studies". Congratulations!
Jan Ernest successfully defended his doctoral thesis entitled: "Causal inference in semiparametric and nonparametric structural equation models". Congratulations!
Ruben Dezeure successfully defended his doctoral thesis entitled: "Statistical inference in high-dimensional models". Congratulations!
See more news items
28 October 2016 -
Research Seminar in Statistics
«Distribution and Quantile Regressions»
in HG G 19.1
02 November 2016 -
ZüKoSt Zürcher Kolloquium über Statistik
«Inference in mixed models in R - beyond the usual asymptotic likelihood ratio test»
in HG G 26.1