Our work on statistical methods develops new ideas for statistical estimation, inference and quantification of uncertainty. With the increasing importance of modern data science and “big data”
Our research is concerned with solving challenging equations that describe interesting and important problems. As well as conducting research in the foundations of applied mathematics, the department
The Modern Applied Statistics Group is embedded in LIDA and has formed successful partnerships in the energy and healthcare industries as well as the public sector, such as Leeds City Council.
Our research focuses on the study and modelling of systems and processes featuring uncertainty and complexity. These have applications in economics and finance, insurance, big data, earth science,
Our research focuses on the study and modelling of systems and processes featuring uncertainty and complexity. These have applications in economics and finance, insurance, big data, earth science,
Research in this group is carried out within the following areas: Probability and financial mathematics, Modern applied statistics, Statistical methodology and probability. We have internationally
We have an international reputation for our research and we are one of the largest and most active groups for pure mathematics research in the UK. Our current research areas include: Algebra,
Research in this group is carried out within the following areas: Probability and financial mathematics, Modern applied statistics, Statistical methodology and probability. We have internationally
Theoretical Computer Science forms the foundations of computing. One of its primary aims is to provide a mathematically grounded theory for developing sophisticated algorithms for real-world