{"id":11,"date":"2023-11-24T10:48:33","date_gmt":"2023-11-24T10:48:33","guid":{"rendered":"https:\/\/www.lancaster.ac.uk\/stor-i-student-sites\/kristina-grolmusova\/?page_id=11"},"modified":"2025-01-27T11:01:58","modified_gmt":"2025-01-27T11:01:58","slug":"research","status":"publish","type":"page","link":"https:\/\/www.lancaster.ac.uk\/stor-i-student-sites\/kristina-grolmusova\/research\/","title":{"rendered":"Research"},"content":{"rendered":"\n

PhD project : Structured Multivariate Extreme Value Models for Flood Risk Estimation<\/strong><\/p>\n\n\n\n

Supervisor(s):<\/strong> Prof Jenny Wadsworth and Prof Thordis Thorarinsdottir<\/p>\n\n\n\n

The aim of the project is to develop statistical methodologies that will allow us to analyse extremes of river flows at multiple points on river networks simultaneously. We approach this problem through the novel framework of geometric extreme value theory, since this has the potential to handle the complex dependence structures that may be observed in river flow extremes. However, current methodologies within this framework are limited to a relatively low number of dimensions. This is insufficient for the purposes of flood risk estimation, since for these types of analyses, we utilise river flow data from gauge stations on a river network, which is often of the order 10-20. In the project we will focus on extending the current methodologies by addressing some of the issues associated with inference in higher dimensions, exploiting the structure of the river network and incorporating covariates such as rainfall or geographical location within our model.<\/p>\n\n\n\n

MPhys project in collaboration with Manchester City Group (MCG): Developing a Dynamical System to Rank Footballers Based on Duel Performance<\/strong><\/p>\n\n\n\n

Supervisor(s):<\/strong> Prof Terry Wyatt and Dr Lewis Whitehouse<\/p>\n\n\n\n