Lancaster University’s academic expertise in STOR constitutes a comprehensive research base upon which to build STOR-i’s scientific agenda. We have internationally recognised expertise in statistical modelling and inference, forecasting, optimisation, simulation, and stochastic modelling with a particularly strong focus on computationally intensive approaches. There are a host of sub-areas in which we have particular strength including:
- change-point analysis;
- computational statistics;
- extreme value theory;
- heuristic methods;
- mathematical programming;
- spatial statistics;
- statistical learning;
- stochastic dynamic programming;
- stochastic programming;
- time series analysis.
Each of these research areas have real-world applications and work to solve important challenges, with a variety of settings exampled below: