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Chair of Statistics

Statistics as a discipline is the development and application of methods to collect, analyze, and interpret data.

Chair Description

Modern statistical methods involve the collection and analysis of large structured and unstructured dataset and the application of statistical principles to understand more about the world around us. Members of the Chair of Statistics contribute to advance knowledge with the goals of providing crucial guidance in determining what information is reliable, which predictions can be trusted, and in instructing researchers on how to avoid being misled by false impressions. Since data are used in most areas of human endeavour, the theory and methods of modern statistics are relevant to a wide variety of fields at the University of St.Gallen.

Research 

•    Computational Statistics applied to Economics and Finance
•    Financial Econometrics
•    Sentiment analysis
•    Volatility Estimation and Forecasting
•    Regime-switching Models

Teaching

The Chair of Statistics is involved in teaching for the whole school of economics and political science (SEPS) at the University. The courses are open also to students at other schools/departments interested.

Projects

A list of recent projects worked out by chair’s members can be found here

Francesco Audrino

Prof. Ph.D.

Prof.

Mathematics and Statistics
Rosenbergstrasse 22

9000 St. Gallen

Barbara Langenegger

Persönliche Assistentin

M+S, Rosenbergstrasse 22
Organization Studies, Rosenbergstrasse 51

9000 St. Gallen

Noah Gabriel

Assistant to Prof. F. Audrino

Christoph Hirt

BSc

Assistant to Prof. F. Audrino

M+S
Rosenbergstrasse 20/22
9000 St Gallen

Erik-Jan Senn

M.A.

Assistant to Prof. F. Audrino

M+S
Büro C83 1205
Rosenbergstrasse 20-22
9000 St. Gallen

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