Dr. Andreas Anastasiou
Since January 2024, I am an Assistant Professor at the Department of Mathematics and Statistics of the University of Cyprus.​ I work in change-point detection, time series analysis, and the assessment of the quality of distributional approximations in Statistics through Stein’s method, with a focus on rigorous statistical methodology for dependent, multivariate, and network-structured data. My research develops theory and methods for detecting structural changes, quantifying distributional approximation errors, and analysing complex sequential data. I am particularly interested in problems where both mathematical rigour and practical applicability matter.
RESEARCH THEMES
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Change-point detection: I develop methodology for detecting structural changes in complex data, including offline multiple change-point problems, high-dimensional settings, and dependence-structured data.
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Stein’s method and distributional approximation: My work studies finite-sample and non-asymptotic approximation results, with particular interest in normal approximation, Wasserstein-type bounds, and likelihood-based asymptotics.
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Time series and dependent data: I am interested in statistical problems arising in time series, network data, and other dependent settings, especially when standard independence-based tools are inadequate.