Research in statistics at Lancaster is focussed at the interface of methodology and application. This stems from a philosophy that strong interaction with research users is imperative for the developing new statistical ideas that are of practical importance. This philosophy has led to research that has substantive influence on the discipline of statistics, for example over 10 RSS read papers in the past two decades, as well as considerable impact on other scientific disciplines, government bodies and industry.

Our research is divided into four main research areas, each with its own range of activities. Details of these areas, and a flavour of some more specific research topics are given below. We also have active links with the operational research group based in the Department of Management Science - including co-running of the STOR-i Centre for Doctoral Training - and the CHICAS group from the Medical School.

We have strategic links with

as well as a range of collaborators from other scientific disciplines and from industry.

Modelling and Inference

The Modelling and Inference group focusses on developing novel approaches that can be applied to generic classes of data.

Statistical Learning

Statistical Learning analyses algorithms that "learn" from data about the environment and users, such as in product recommendations or displaying of adverts on websites.

Statistical Methods in Health and Social Science

The Health and Social Science group specialises in statistical epidemiology, social research and quantitative criminology.

Statistical Methods in Medicine

Members of the group develop and evaluate novel statistical methods of study design and data analysis for use in the pharmaceutical and medical research community.