Foundations for Learning from Data
Data are everywhere, but good conclusions do not come automatically. Anyone working with data must deal with uncertainty, noise, bias and hidden connections. Mathematical statistics provides the ideas and tools needed to separate real patterns from chance and to make reliable decisions.
We develop statistical theory and methods for complex and changing data. Our research includes any-time valid and adaptive inference, multiple testing, online learning, time-series analysis, change-point detection, and graphical models for rare and extreme events. By combining probability, statistics and machine learning, we aim to better understand uncertainty, discover structure in data and develop methods with strong mathematical guarantees.
Meet the team
A list of members of the statistics group can be found here.
Work with us
Are you a University of Twente student looking for a bachelor’s or master’s thesis in statistics? Browse our research areas and get in touch with a group member whose work matches your interests.
We also welcome collaborations with researchers from other fields. When an interesting research question involves uncertainty, complex data or a new statistical challenge, we are happy to explore how statistical theory and methods can help.