School of Mathematical Sciences

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Statistics and Data Analysis Group

The group in Statistics and Data Analysis conducts research and postgraduate teaching in core subjects in Statistics, especially design of experiments, sequential analysis, and Bayesian methodology and combines this expertise with modern concepts in dynamical systems theory for the benefit of Data Analysis. Details about the research can be found in the Publications section and on home pages of the group members, accessible in the People section. Some research highlights are illustrated in the research gallery below

The group offers its expertise to other departments and disciplines, details can be found in the section on Consulting.

We welcome enquiries and applications from prospective postgraduate students. See our postgraduate pages for further details.

Research gallery

centrality vitality
Analysis of the European transmission gas network. Left: relevance of the pipeline in terms of actual transport capacity. Right: sensitivity of the pipeline as with regards to technical failure. The analysis clearly shows the robustness of the gas network infrastructure which has arisen from a self-organised development process without supervision by a central European regulator (R. Carvalho et al. 2009).
dsf Density plot of the density autocorrelation function (the so called dynamical structure factor) of a biatomic solid, which determines the interaction between matter and radiation. The analysis clearly reveals the acoustic and optical dispersion branches, a central peak at vanishing frequency and evanescent modes related to surface effects (K. Helbig et al. 2010).
cr Coherence resonance, i.e., the generation of a periodic signal component in a noisy environment, occurring in an oscillator subjected to time delay. Signal to noise ratio (as measured by the inverse central linewidth) in dependence of the bifurcation parameter λ of the oscillator and the noise strength D. For comparison the noise induced phase transition line indicating the region of a bimodal stationary distribution is shown as well (P. Geffert et al. 2014).