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Fabian Mies is a researcher specializing in statistical methodologies and their applications. His research interests include statistics, stochastic processes, nonstationary time series, changepoint inference, asymptotic nonparametric statistics, and reliability theory. Mies has contributed to various significant publications in these areas, focusing on advancements in estimation techniques and computational methods. His collaborative work has been recognized in several projects, including the development of efficient algorithms for safety bounds using Gaussian processes. Mies is affiliated with TU Delft, where he continues to engage in innovative research and teaching. He is also known for his contributions to mixed semimartingales and fractional stable processes. Mies's findings have implications across numerous fields, enhancing our understanding and capabilities in statistical analysis and decision-making processes.
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