- Applied Probability
- Bayesian Modelling and Analysis
- Behavioural Biology
- Monte Carlo Computation
- Multiscale Methods
- Nonparametric Regression
- Optimisation Under Uncertainty
- Scaling Limits
- Statistical Bioinformatics
- Statistical Physics
- Statistical Signal Processing
- Time Series

Probability and Statistics research outputs

Statistics and probability are the complementary disciplines of the science of uncertainty. That is, they deal both with systems that are intrinsically uncertain, such as the choice of a gene passed at random from parent to child, and with systems we believe not to be random but which are too complicated to model exactly, such as the climate.

There is uncertainty in almost every aspect of everyday life and, despite its reputation for exactness, in the scientific world too. Probability and statistics give us tools to handle this uncertainty in a principled manner.

The Probability and Statistics group in Bristol carries out research on many aspects of this science: modelling of random phenomena, methods for the analysis of data, and computational techniques for performing this modelling and analysis.

The applications of this research are many and varied, ranging from the analysis of solar flares to robot navigation, from the behaviour of socially organised animals to traffic queues and from genetic research to signal processing.

Research in probability and statistics gives you the opportunity to develop practical, mathematical and computing skills, while working on challenging and important problems arising in real-world applications.

Statistics underpinning Science, Technology and Industry is a programme with the ambitious goal of strengthening the discipline of Statistics in the UK, by equipping it to face the challenges of future applications.

Research reports from the Probability and Statistics research group.