Dr Alex Gibberd
Senior Lecturer in StatisticsResearch Interests
Theory/Methodology
Theoretical aspects of my research relate to the specification and estimation of statistical models especially in the context of non-stationarity, and/or high-dimensionality.
Application
I am interested in data-rich domains which can take advantage of advances in high-dimensional time-series methodology. This may be in either a descriptive (i.e. clustering), or predictive setting. Generally, applications constitute the analysis of complex systems, for instance the brain, via monitoring large numbers of data-streams.
Web Links
PhD Supervision Interests
Students interested in the intersection of high-dimensional statistics and time-series analysis.
01/09/2024 → 30/11/2024
Research
19/07/2021 → 23/07/2021
Research
08/03/2021 → 01/02/2023
Research
01/01/2021 → 30/09/2025
Research
29/06/2020 → 21/08/2020
Research
01/10/2019 → 31/10/2025
Research
STOR-i Centre for Doctoral Training
Centre for Marketing Analytics & Forecasting
- Centre for Marketing Analytics & Forecasting
- Changepoints and Time Series
- DSI - Foundations
- Social and Economic Statistics
- STOR-i Centre for Doctoral Training