Bayesian Forecasting of Electric Vehicle Adoption [TAKEN]

25 September 202621 September 2026 Herbert Susmann (email | all projects)

ELIGIBILITY: This project is for a student taking the MSc in Statistics and Sustainability or the MSC in Statistics and Data Science.

This project will focus on comparing Bayesian time-series forecasting methods, motivated by the problem of projecting electric vehicle adoption. Depending on interest, this may involve using probabilistic programming through the Stan programming language. This project will use publicly available data available through the Central Statistics Office.

Extreme Value Theory and the Climate [TAKEN]

Compositional Data Analysis for Energy Mix Projections [TAKEN]

Extreme Value Theory and the Climate [TAKEN]

Compositional Data Analysis for Energy Mix Projections [TAKEN]

Subject Areas

3D graphics AI Artificial Intelligence augmented and virtual reality CAV CAVs climate change Computer Animation computer graphics Computer Vision Connected Autonomous Vehicles Data Analytics Data Science Dialogue Education EEG Fintech Generative AI graphics human-computer interaction Human Computer Interaction Information-Centric Networking Intelligent Transportation Systems Internet Architecture Knowledge and Data Engineering Knowledge Graphs Linked Data Machine Learning Motion Capture Natural Language Processing networking neural networks perception Quantum Computing Reinforcement Learning Security/Privacy software testing Statistics Statistics and Data Science Statistics and Sustainability Sustainability User Interaction User Interface virtual humans virtual reality

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