Student
Chiara Boetti

Chiara graduated with a BSc in Mathematics from the University of Turin in 2020 and there she also completed her MSc in Stochastics and Data Science two years later.

Chiara graduated with a BSc in Mathematics from the University of Turin in 2020 and there she also completed her MSc in Stochastics and Data Science two years later. In her Master thesis, she studied the coupled Wright-Fisher diffusion and the filtering problem of the relative hidden Markov model. She would like to use maths to model the world and, more realistically, to focus on statistics and its application to biomedical science. Aside from maths, Chiara enjoys watching films, TV series and musicals or walking in the woods while listening to a podcast.

Research project title:
Novel methods for network-structured time series modelling

Supervisor(s): 
Matt Nunes

Project description: 
There has been an explosion in the availability of data observed on networks / graphs over time, from neuroscience to telecommunications and transport. Whilst there is a well-established literature on analysing multicomponent time series, tools which adequately account for the connections in such network-structured time series setting are relatively uncommon. The aim of this project is to develop new models and associated tools for these time series objects in different scenarios, such as data which exhibit long memory, nonstationarity or changing structure over time.