Distributed lag modelling for environmental applications

It is established that exposure to poor air quality and high temperatures impact human health, in particular the respiratory system and cardiovascular system. But how are such connections and hypothesis formed and demonstrated?

This project will explore distributed lag (DL) modelling. DL modelling is an established means to quantify exposure in terms of outcomes for environmental modelling. However, these models also have applications in econometrics.

The project will comprise (i) regression methods (ii) B-spline (or other) basis for functional data (iii) Bayesian methods for model selection. The project is ideal for students interested in the environmental space with some prior knowledge of regression methods.