Kathryn TurnbullPhD student
Prior to joining STOR-i I obtained a degree in Mathematics (MMath) at Durham University. During my undergraduate studies I covered a range of mathematics, including some statistics modules. For my final year project, I studied techniques for classifying objects according to their 2D shapes. In 2013 I took part in the STOR-i summer internship where I worked on a project entitled ‘Modeling droughts with extreme value theory', and in the final years of my degree I completed two summer internships with Shell. These internships were an excellent opportunity to see what research involves and how statistics is utilised in industry.
I am currently a 2nd year PhD student at STOR-i, having completed the MRes in 2016. My PhD is focused on finding efficient inference techniques for high dimensional networks. I am supervised by Chris Nemeth (Lancaster), Matt Nunes (Lancaster) and Tyler McCormick (Washington).
Bayesian inference for nonstationary marginal extremes
Randell, D., Turnbull, K., Ewans, K., Jonathan, P. 11/2016 In: Environmetrics. 27, 7, p. 439-450. 12 p.
- STOR-i Centre for Doctoral Training