Cen­ter for Stat­ist­ics

The Center for Statistics conducts research in statistics, probability theory, and applied statistics. 

Research topics include: 

• extreme value theory
• non- and semiparametric statistics
• missing data problems
• causal inference
• graphical models
• event history analysis
• benchmarking
• spatio-temporal modeling
• machine learning
• econometrics 

The center is also involved in the application of statistical methods to various fields, including business economics and finance. 

The center is responsible for most of the statistics courses taught at CBS. This includes the main statistics courses for the BSc and the HD programmes as well as advanced courses forming part of the BSc and MSc in Business Administration and Mathematical Business Economics programmes. 

The Center for Statistics has since January 2004 been integrated as a center within the Department of Finance. 

Below, you will find an alphabetical list of staff members connected to Center for Statistics. You can read more on the individual profile pages.

Centre coordinator:

Anders Rønn-Nielsen

The Center for Statistics conducts research on both the theoretical foundations and practical applications of statistics and probability. Our work spans a broad range of topics, including: 

Causal inference, econometrics, empirical process theory, extreme value theory, financial econometrics, probability theory, stochastic processes, and statistical computing, among other topics.

Center for Statistics hosts a series of seminars each semester dedicated to the field of statistics. No registration is required, and everyone is welcome to attend. 

The seminar series covers both theoretical and applied statistics. 

Topics include:

• causal and statistical inference
• machine learning methods and applications
• probability theory
• and other areas within statistics