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: šŸŒ¤ļø 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.

Estimating the number of species

ELIGIBILITY: This project is for a student on the M.Sc. in Statistics and Data Science. In this project, we’ll look at the various ways in which ecologists have attempted to answer the question ‘How many species are there?’. Some of these methods are statistical, and we’ll focus on those, but we’ll also take a look … Read more

Design and analysis of biodiversity experiments

ELIGIBILITY: This project is for a student taking the online MSc in Statistics and Data Science. In biodiversity experiments, typically the number, identity and proportions of species are manipulated across experimental units. Often additional treatments are of interest to test alongside species diversity treatments. The design of these experiments can be challenged by the multiple … Read more

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

Exploring survival analysis

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.Ā  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 DublinĀ 

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