The University of Exeter is hosting the 42nd Research Students’ Conference in Probability and Statistics (RSC2019) on the 18th-21st June 2019. All postgraduate researchers (masters, masters by research, PhDs) with interest in probability and statistics are welcome to attend the conference and present their research in the form of a talk or poster.

Statistical modelling techniques help to correct forecast biases in numerical weather and climate models.

We develop statistical tools to evaluate the skill and reliability of weather and climate forecasts

We develop statistical methodology for calibrating computer simulation models, using statistical emulators that can be evaluated quickly in place of the expensive computer model.

We develop flexible statistical tools to approximate the output of complex systems, to efficiently explore the possible behaviors of the model and propagate uncertainties from model inputs to the final predictions.

Combining large amounts of data from different sources (satellites, station measurements, indirect predictors) produces global estimates of air pollution at high spatial and temporal resolutions.

We have a world-renowned track record in the statistical modelling of risk due hydro-meteorological hazards.

Statistical disease risk models, incorporating environmental factors and climate information, assist in public health decision making.