Dr Alex Gibberd

Lecturer in Statistics

Research 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.

Support of Collaborative Research with Dr S. Roy at University of Bath
19/07/2021 → 23/07/2021
Research

Model Selection for High-Dimensional Temporal Disaggregation in Official Statistics
08/03/2021 → 01/02/2023
Research

Reducing End Use Energy Demand in Commercial Settings Through Digital Innovation
01/01/2021 → 31/12/2024
Research

Wavelet Methods for Dependency Analysis in Multivariate Time Series (Jessica Green)
29/06/2020 → 21/08/2020
Research

STORi: Information Fusion for Non-homogeneous Panel and Time-series Data
01/10/2019 → 31/03/2023
Research

Carla Pinkney

Carla Pinkney

PhD student

STOR-i Centre for Doctoral Training

Kai Zheng

Kai Zheng

PhD student

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