Mathematical Statistics and Data Science at the University of Gothenburg and Chalmers University of Technology brings together research in statistical theory, methodology, and modern data analysis. The area covers both mathematical and applied work, with an emphasis on understanding data through structured statistical models and well-founded inference methods.
A central theme is data for which dependence and structure are essential features of the problem. This includes spatial, temporal, and network data, and leads to statistical models and inference methods that are constrained and informed by the underlying mathematical structure.
Research directions
From mathematical analysis to computation
Across all research directions, there is a strong emphasis on the full chain from mathematical formulation and analysis to computational implementation and practical data analysis. Methods are studied both from a theoretical perspective and through numerical and simulation-based approaches.
Research environment
The research area is supported by regular seminar activities and scientific exchange, including the Mathematical Statistics Seminar and joint seminars with related groups.
Related groups and collaborations
Mathematical Statistics and Data Science maintains close connections with other research environments at the University of Gothenburg and Chalmers, including Bio-statistics, Probability Theory, and broader data science initiatives within the department.
