Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision-making. In both traditional ...

This course covers the ideas underlying statistical modelling, its implementation through computational methods, and links to practical applications. Topics include probability and random variables, ...

This is a core course that provides essential grounding in statistical inference and modelling for engineers and technologists. Students will learn how to develop statistical models to describe random ...

There are several books in the extensive and varied literature on Turbulence that deal, in statistical terms and in the context of fluid dynamics, with the phenomenon itself, as well as its many ...

My research spans the area of statistical modelling, from the development of statistical methods to fit realistically complex statistical models to describe real-life problems, through the ...