Modelling of sporting events using artificial intelligence and statistical methods for big data
There are many statistical and mathematical models that can be used to predict results of sporting events such as football or tennis match.
This project is advertised as part of the EPSRC Doctoral Training Partnership. It is currently not available to self-funded applicants.
The project aims at systematizing and comparing different models and applying them for predicting outcomes of different sporting events. Many models used for modelling highly volatile events such as tennis match resemble the models used in financial mathematics to analyse stocks. The work on the project involves analysis of very large amounts of real data. New algorithms will be devised.