All Projects

Zero-inflated models are commonly used in the analysis of count data, such as the number of visits a patient makes to their dentist in one year. Count data can take non-negative integer values 0, 1, 2, … . For statistical analysis, the distribution of the counts is often represented using a Poisson or Negative Binomial … Read more

This research project is focused on the application of Joinpoint Regression Analysis in socio-economic studies, such as public health for istance. Joinpoint Regression Analysis is a powerful statistical method that allows us to identify critical inflection points or “joinpoints” in temporal data, enabling us to discern trends, discontinuities, and shifts in disease patterns over time. … Read more

This project aims at using sports analytics models to optimise decision-making in Fantasy Football. By integrating data from multiple sources, including player performance metrics, historical game data, and injury reports, etc., and using statistical analysis and machine learning algorithms you will predict player success and recommend optimal lineups. 

A sparse matrix is a two-dimensional array where most of the elements are zero. If a very large sparse matrix is stored in normal array format, a huge amount of memory will be needed to store values that are almost all zero. Instead, large sparse matrices are normally stored in a compacted form, where only … Read more

The overall objective of this project is to explore rugby analytics with a focus on improving player performance and game strategies. The project will involve collecting and analysing data from rugby matches to identify key performance metrics, such as tackling efficiency, player positioning, and team dynamics – to provide insights that could help coaches and … Read more