Projects
Forecasting with large macroeconomic and financial datasets
Improving the ability of widely used economic forecasting models to deal with volatile changes such as those caused by financial crises
Detecting anomalous connections on the internet
Building statistical models to measure the likelihood of new connections being formed in a network, to help detect potentially malicious intruders
Sequential sampling methods for difficult problems
Developing methods to address difficult problems by sampling from the random trajectories of collections of interacting 'particles'
Computational statistical inference for engineering and security (CoSInES)
Creating a step change in the use of statistical methodology, motivated by challenges in modelling, computation, and statistical algorithms
Mapping genetic traits of cardiovascular disease
Identifying new genetic risk factors for cardiovascular disease through the development of new learning tools, to aid treatment
Investigating industrial CT scanner damage
Gathering community-sourced data on damage to x‑ray detectors in industrial CT scanners, to inform cost-effective maintenance
People
Victoria Carr
Enrichment Student
Vasilis Stavrinides
Enrichment Student
Dr Darren Price
Turing Fellow
Dr Louis Aslett
Health Programme Fellow
Dr Matthew Brett
Turing Fellow
Professor Niels Peek
Turing Fellow
Dr Helen Ogden
Turing Fellow
Professor David Woods
Turing FellowEvents
A blueprint for urban analytics research
Thursday 11 Apr 2019 - Friday 12 Apr 2019
Time: 09:30 - 14:00
Turing Lecture: Be prepared to show your working!
Tuesday 11 Dec 2018
Time: 18:15 - 20:30
Workshop on probabilistic numerical methods
Wednesday 11 Apr 2018 - Friday 13 Apr 2018
Time: 09:00 - 17:00
Statistical Data Science
Monday 03 Jul 2017 - Wednesday 05 Jul 2017
Time: 18:37
Inverse Problems and Data Science
Monday 08 May 2017 - Wednesday 10 May 2017
Time: 18:37
Data Science Masterclass - Tools for Big Data
Monday 12 Dec 2016
Time: 17:37
Turing Lecture: Statistics, decision-making and privacy
Monday 05 Dec 2016
Time: 13:30 - 17:00
Publications and software
Median bias reduction in random-effects meta-analysis and meta-regression
The reduction of the mean or median bias of the maximum likelihood estimator in...
Kyriakou, Sophia, Kosmidis, Ioannis and Sartori, Nicola (2018) Median bias reduction in random-effects meta-analysis and meta-regression. Statistical Methods in Medical Research . doi:10.1177/0962280218771717 (In Press)
House of Lords Select Committee on Political Polling and Digital Media
Call for Evidence More opinion polls than ever have been seen in recent elections...
How Deep Are Deep Gaussian Processes?
Recent research has shown the potential utility of probability distributions designed through hierarchical constructions...
Dunlop, Matthew & Girolami, Mark & M. Stuart, Andrew & Teckentrup, Aretha. (2017). How Deep Are Deep Gaussian Processes?