Prof. Dr. Markus Pauly
Mail: markus.paulytu-dortmundde
Mathematical Statistics and Applications in Industry
Phone: 0231 / 755 - 90370
Joseph-von-Fraunhofer-Straße 2-4 | Room A3.09

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Mail: markus.paulytu-dortmundde
Mathematical Statistics and Applications in Industry
Phone: 0231 / 755 - 90370
Joseph-von-Fraunhofer-Straße 2-4 | Room A3.09

Born and raised in Düsseldorf Markus Pauly also studied mathematics in his hometown and passed his diploma (2005) and PhD thesis (2008) both with distinction. Afterwards he was a postdoctoral researcher at the Department of Statistics at the University of Washington in Seattle (2009), the Institute for Mathematical Statistics at the University of Bern (2010-2011, DAAD funded) and again in Düsseldorf (until 2014). From 2014 to 2019 he was W3 professor for Statistics at Ulm University and thereafter switched to his current full professor position at TU Dortmund University. Markus Pauly is an expert for resampling, semi- and non-parametric methods for heterogeneous designs, statistical learning as well as survival and time series analysis and maintains various collaborations with colleagues from the life and social sciences, mathematics as well as logistics, industry and engineering.
Pauly, M., Brunner, E., & Konietschke, F. (2015). Asymptotic permutation tests in general factorial designs. Journal ofthe Royal Statistical Society: Series B: Statistical Methodology, 461-473.
Ramosaj, B., & Pauly, M. (2019). Consistent estimation of residual variance with random forest Out-Of-Bag errors.
Statistics & Probability Letters, 151, 49-57.
Ramosaj, B., Amro, L., & Pauly, M. (2020). A cautionary tale on using imputation methods for inference in matched-pairs design. Bioinformatics, 36(10), 3099-3106.
Umlauft, M., Placzek, M., Konietschke, F., & Pauly, M. (2019). Wild bootstrapping rank-based procedures: Multipletesting in nonparametric factorial repeated measures designs. Journal of Multivariate Analysis, 171, 176-192.
Welz, T., Doebler, P., & Pauly, M. (2021). Fisher transformation based confidence intervals of correlations in fixed‐andrandom‐effects meta‐analysis. British Journal of Mathematical and Statistical Psychology.