DEPARTMENT OF STATISTICS

Applied statistics including spatio-temporal statistical modelling, Bayesian statistics, uncertainty analysis, financial risk modelling, optimal design of experiments, industrial statistics, and, more recently, statistical learning methods.

Environmental statistics and risk evaluation including environmental monitoring networks, environmental health risk analysis, pollution dispersion modelling, stochastical differential equations, and pattern recognition.

Biometrics and statistics in medicine including clinical trials, efficient design and analysis of clinical studies (also joint research with medical investigators), evaluation of medical studies, and ethics in medicine.

Computational statistics including the development of specific packages in R and the numerical solution of applied problems.

Statistics education including an analysis of the Bayesian controversy in the foundations, a comparative study of statistical inference (classical inference and resampling), probability and risk literacy, risk in health, research in the history and philosophy of probability, and technology-enhanced learning.