Academic aim of the programme
Theoretical and applied statistics with special emphasis on multivariate statistics, geometric morphometrics, Bayesian inference, survival analysis, stochastic population modelling, extreme value statistics and its applications in science and engineering.
It is expected that a PhD fellow publishes 3-4 articles on the results of the research project. Results will be published in the best statistical journals or journals within the application area.
Person responsible for the research programme
Other researchers associated with the programme
- Associate Professor Fernando Colchero
- Associate Professor Jing Qin
- Associate Professor Yuri Goegebeur
- Other researchers from biostatistics and econometrics
Courses offered by the programme
Courses in multivariate statistics, statistical modeling, mathematical statistics, and extreme value statistics.
Other relevant information
We have a wide range of international contacts in the fields of theoretical statistics, mathematical demography, biological statistics and extreme value statistics.