Research
Last changed: 05 November 2021
Welcome to an extended presentation of our research areas. Each area is a separate postgraduate discipline, which means that doctoral examination is possible in all areas.
Applied and Mathematical Statistics
- Multivariate analysis
- High-dimensional analysis
- Linear models
- Mixed linear models
- Partial least squares (PLS)
- Spatiotemporal models
- Linear algebra
- Influential observations
Theoretical Biology and Systems Analysis
- Biological network modelling
- Complex systems and non-linear dynamics
- Oscillations and chaos in biological systems
- Spatiotemporal process simulation
- Time-series analysis at different scales
- Human and nature interactions
Environmetrics and Geoinformatics
- Environmental and geo-related statistics
- Inferential methods regarding biological/ecological systems and processes
- Inferential methods regarding landscape systems and processes
- Geographical information systems (GIS)
- Environmental change in the Northern Polar region
- Informatic infrastructures for large-scale environmental survey
Web-based decision-support systems
Research within biometry with special emphasis on environmetrics and geoinformatics is following two main tracks; classic biometry and environmetrics/geoinformatics. In biometry, methodology for hypothesis-testing and statistical inference (methodology developed by statisticians) is adapted to the special requirements of some applied subject. Biometry is philosophical by nature since it explores how well nature can be known given a limited amount of information. Actually, most biometricians consider their subject to be at the heart of empirical science, since hypothetic-deductive science may be pretty much boiled down to hypothesis-testing.