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Dr Tobias Kley

Tobias’ research focuses on statistical procedures that provide alternatives to and supplement traditional methods by providing additional information. The methods he proposes can be applied in a wide variety of situations and under conditions where other methods fail. His broad interests include, for example, quantile regression, copulas and rank-based procedures applied to the analysis of stationary and non-stationary time series. Besides his methodological work, Tobias passionately implements the methods from his work in a rigorously systematic fashion to provide publicly available and reusable statistical software.