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Alex Gibberd supervises 1 postgraduate research students. If these students have produced research profiles, these are listed below:

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Dr Alex Gibberd

Lecturer in Statistics

Alex Gibberd

Fylde College

LA1 4YF

Lancaster

Tel: +44 1524 595068

PhD supervision

Students interested in the intersection of high-dimensional statistics and time-series analysis.

Research Interests

Theory/Methodology

Theoretical aspects of my research relate to the specification and estimation of stochastic processes. Novel aspects of this work revolve around both issues of non-stationarity, and/or high-dimensionality.

I am especially interested in the role of model-selection in increasing the efficiency of statistical estimation in the presence of structural assumptions, e.g. sparsity. Modern M-estimation frameworks allow an interesting connection to Bayesian prior specification, whilst enabling efficient computational approaches to perform point estimation. I am interested in both how optimisation (computational) and statistical (estimator) related errors affect our ability to recover model structure.

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.

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