Exploring survival analysis 1

ELIGIBILITY: This project is for a student taking the online MSc in Statistics and Data Science. Survival analysis refers to models and methods for survival data, that is, data on the failure of a system.  Usually this takes the form of times when failure occurs, with the failure referring to events like the system no … Read more

Inside Airbnb: Tourism in Dublin (taken)

In the last decade, Airbnb has become a mainstay for tourists worldwide. In this project, we will use data from insideairbnb.com to obtain a better geographic understanding of Dublin. Which parts are expensive or reasonable to rent? Where do tourists like to stay, and in what type of accommodation? We will study these issues using … Read more

To interpret or not to interpret: Forecasting conflict fatalities with machine learning models vs. GLMs

Forecasting conflict on a fine-grained grid level has real-life policy implications that can empirically inform meaningful healthcare and peace-preservation decisions. In many settings, interpretable models have the appeal that policymakers know how to draw conclusions from the model and do not have to base their decisions on black-box models. On the other hand, machine learning … Read more

[TAKEN] 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