Dr Alex Gibberd

Lecturer in Statistics

Research Interests


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.


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.

  • Centre for Marketing Analytics & Forecasting
  • Changepoints and Time Series
  • DSI - Foundations
  • Social and Economic Statistics
  • STOR-i Centre for Doctoral Training