Kernel density estimation and regression

In this project we are exploring non-parametric methods for the estimation of probability density functions and for regression. The interested Student must be comfortable with Statistics and Mathematics. The Student must do a search about kernel density estimation and Nadaraya–Watson kernel regression. You may also have a look in Prof. Tsybakov’s book “Introduction to nonparametric … Read more

Statistics in Marketing

This project is particularly for the Students in Statistics and Sustainability. The interested Student should first check the papers: Establishing the link: Does web traffic from various marketing channels influence direct traffic source purchases? | Marketing Letters (springer.com) Unveiling digital dynamics: Do digital media investments impact organic branded searches? | Journal of Marketing Analytics The … Read more

Statistics in Environmental Science

The project will deal with the statistical analysis of meteorological data. See for example here: 🌤️ Free Open-Source Weather API | Open-Meteo.com The interested Students, must do a good search in this or another relevant data, contact me for confirmation and then they can request the project.

Testing the relative importance of species diversity and cutting regime in agricultural grasslands

ELIGIBILITY: This project is for a student taking the MSc in Statistics and Sustainability. In agriculture, grasslands can play an important role in producing feed for animals and maintaining soil health in crop rotations. In recent years, mixing plant species with complementary traits have been proposed to reduce the quantity of synthetic fertiliser required to … Read more

Investigating the Reproducibility of Studies which conducted Data Analysis or Machine Learning 

**This project is for students in the Statistics & Data Science programme (M.Sc) or MSc in Statistics and Sustainability ** “Reproducibility, closely related to replicability and repeatability, is a major principle underpinning the scientific method. For the findings of a study to be reproducible means that results obtained by an experiment or an observational study … Read more

Building a Dashboard for the Behavioural Energy and Travel Tracker Data Set

** This project is only available for students in the MSc in Statistics & Sustainability programme **  The Behavioural Economics Unit of the Sustainable Energy Authority of Ireland (SEAI) commissioned the national survey entitled Behavioural Energy and Travel Tracker (BETT). According to the website (https://www.seai.ie/data-and-insights/behavioural-insights/publications/bett-dataset),  “The tracker uses a behavioural science technique known as the … Read more

Translating Uncertain Knowledge into a Solvable Mathematical Model for Process Optimisation 

ELIGIBILITY: This project is for a student taking the MSc in Statistics and Sustainability. The student must possess knowledge of numerical optimisation methods and linear programming techniques. This project aims to bridge the gap between human language and mathematical optimisation. By developing a method that translates natural language descriptions of process optimisation goals and constraints … Read more

TAKEN: Identifying relapse risk of vasculitis patients discontinuing long term treatment therapy

This project is in collaboration with the joint School of Medicine/ADAPT health research project called PARADISE. ANCA Vasculitis is a rare auto-immune disease in which sufferers are susceptible to flares, whereby a person’s immune system attacks their own body. Treating people with vasculitis is difficult, because the most successful treatments, such as rituximab, have significant … Read more

Skill-based ranking system

Academic year 2024-2025 ELIGIBILITY: This project is for a student taking the MSc in Statistics and Sustainability. TrueSkill, a model developed by Microsoft, is designed to assess the “ability score” of video game players. This score is then used to create a leaderboard, which helps match players in online games. The model also supports team-based … Read more