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Published in , 2023
Bachelor thesis at the Institute of Neuroscience and Medicine, Research Center Juelich and the Institute of Mathematics, Heinrich Heine University Düsseldorf with Prof. Dr. Katrin Möllenhoff and Prof. Dr. Dr. Caspers
Published in submitted to Bernoulli, 2025
Extreme value analysis for time series is often based on the block maxima method, in particular for environmental applications. In the classical univariate case, the latter is based on fitting an extreme-value distribution to the sample of (annual) block maxima. Mathematically, the target parameters of the extreme-value distribution also show up in limit results for other high order statistics, which suggests estimation based on blockwise large order statistics. It is shown that a naive approach based on maximizing an inde- pendence log-likelihood yields an estimator that is inconsistent in general. A consistent, bias-corrected estimator is proposed, and is analyzed theoretically and in finite-sample simulation studies. The new estimator is shown to be more efficient than traditional counterparts, for instance for estimating large return levels or return periods
Recommended citation: Bücher, A., and Haufs, E. (2025). Extreme Value Analysis based on Blockwise Top-Two Order Statistics. arXiv preprint. https://arxiv.org/abs/2502.15036
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An invited talk to the session “Time Series Extremes”.
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A poster presentation on “Extreme Value Analysis based on Blockwise Top-Two Order Statistics”.
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Talk on first progress of “Extreme Value Analysis based on Blockwise Top-Two Order Statistics”.
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Organization of a workshop on statistics of extremes during the ClimXtreme Module C Meeting, jointly with Jonas Schröter (DWD) and Felix Fauer (FU Berlin)
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Two posters, first on “Extreme Value Analysis based on Blockwise Top-Two Order Statistics” and second on the synthesis of climate model predictions (jointly with Jonas Schröter)
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An Oberseminar talk on “Extreme Value Analysis based on Blockwise Top-Two Order Statistics”.
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Four weeks research visit with Stanislav Volgushev at the University of Toronto.
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Four weeks research visit with Michael Lalancette @ UQAM
Undergraduate course, Heinrich Heine University Düsseldorf, 2022
Grading weekly exercise sheets.
Undergraduate course, Ruhr University Bochum, 2024
Teaching a weekly exercise class.