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Statistics is all about uncovering the stories hidden within data. It involves analysing and interpreting information, testing conjectures, and making informed decisions when faced with uncertainty. Whether we are exploring trends or addressing real-world problems, statistics provide the tools to understand and navigate our complex world. This makes statistics as essential as reading and writing.
Our research in statistics focuses on building a solid foundation in computational and theoretical aspects of statistics. We actively seek to enhance our understanding by examining how these elements interact with various disciplines, such as medicine, economics, or finance. This fosters interdisciplinary collaboration and innovative applications of statistical methods.
We are a team composed of theoretical statisticians, computational statisticians, medical statisticians, and econometricians. We focus on current challenges in statistics, where there is a tendency toward more complex models in higher dimensions with more parameters. We develop complex-structured models, inferential procedures, and computational tools for high-dimensional data in biostatistical, environmental, and econometrical applications.
The Statistics group actively explores diverse areas of statistics, with a focus on advancing research in:
Copula modelling and inference
Financial econometrics and econometric theory
Experimetrics
Psychometrics
Machine learning and AI-focused statistical learning
Statistical physics
Multiple Time Series Analysis
Multivariate meta-analysis
Bayesian inference
Causal inference
Development of statistical software
Clinical trials
To read more about our research, outputs and research-related activities please see individuals’ webpages, which you can find through the list of group members below.
If you are interested in exploring academic or industrial partnerships with the Statistics Research Group, don't hesitate to contact the head of group, Dr. Aristidis K. Nikoloulopoulos.
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