Prof. Dr. Markus Pauly


Research Interest:

  • Asymptotic and Nonparametric Statistics with applications.
  • Multivariate and Repeated Measurements Analysis
  • Resampling Techniques in Theory and Practice
  • Survival Analysis
  • Time Series Analysis

Brief CV:

  • since 10/2014 Professor of Statistics, Faculty of Mathematics and Economics, University of Ulm
  • 06/2013 Habilitation in Mathematics, Mathematical Institute, University of Duesseldorf
  • 04/2010 - 03/2011 Perception of a DAAD research fellowship, Institute for Mathematical Statistics and Actuarial Science, University of Bern.
  • 12/2008- Graduation Dr. rer. nat.,  Mathematical Institute, University of Duesseldorf
  • 10/2005 - 03/2010 and 03/2011-09/2014 Scientist at the Mathematical Institute, University of Duesseldorf
  • 09/2005 Diploma in Mathematics, University of Duesseldorf


  1. Feifel, J, Genz, M, and Pauly, M (2017). Who wants to live forever? An analysis of the maximum lifespan in the US.
  2. Allignol, A, Königsbauer, F, and Pauly, M (2017). The Effect of Left-Truncation on the Coverage of Confidence Intervals for Pregnancy Outcome Probabilities.
  3. Konietschke, F, Friede, T, and Pauly, M (2017). Analysis of over-dispersed count data with varying follow-up times: Asymptotic theory and small sample approximations.
  4. Bluhmki, T, Schmoor, C, Dobler, D, Pauly, M, Finke, J, Schumacher, M and Beyersmann, J (2017). A Two-Stage Wild Bootstrap Approach for the Aalen-Johansen Estimate in Multistate Models.
  5. Dobler, D and Pauly, M (2016). Resampling-based Confidence Intervals and Tests for the Concordance Index and the Win Ratio.
  6. Bluhmki, T, Dobler, D, Beyersmann, J and Pauly, M (2016). The Wild Bootstrap for Multivariate Nelson-Aalen Estimators.
  7. Pauly, M, Umlauft, M and Ünlü, A (2016). Resampling-based inference methods for comparing two coefficient alpha.
  8. Bathke, A, Friedrich, S, Konietschke, F, Pauly, M, Staffen, W, Strobl, N and Höller, Y (2016). Using EEG, SPECT, and Multivariate Resampling Methods to Differentiate Between Alzheimer's and other Cognitive Impairments.


  1. Dobler, D, Beyersmann, J and Pauly, M (2017). Non-strange Weird Resampling for Complex Survival Data.  Biometrika, to appear.
  2. Beruscha, F, Krautter, W, Lahmer, A and Pauly, M (2017). An Evaluation of the Influence of Haptic Cues on Gaze Behavior during In-Car Interaction with Touch Screens. To appear in the Proceedings of the IEEE World Haptics 2017.
  3. Dobler, D and Pauly, M (2017). Approximate Tests for the Equality of Two Cumulative Incidence Functions of a Competing Risk. Statisticsto appear.
  4. Umlauft, Maria, Konietschke, Frank and Pauly, Markus (2017). Rank-based permutation approaches for nonparametric designs. British Journal of Mathematical and Statistical Psychologyto appear.
  5. Brunner, Edgar, Konietschke, Frank, Pauly, Markus and Puri, Madan L. (2017). Rank-Based Procedures in Factorial Designs: Hypotheses for Nonparametric Treatment Effects. Journal of the Royal Statistical Society - Series B, to appear.
  6. Friedrich, Sarah, Brunner, Edgar and Pauly, Markus (2017). Permuting longitudinal data in spite of the dependencies. Journal of Multivariate Analysis 153, 255-265.
  7. Amro, Lubna and Pauly, Markus (2017). Permuting Incomplete Paired Data: A Novel Exact and Asymptotic Correct Randomization Test. Journal of Statistical Computation and Simulation 87, 1148-1159.
  8. Friedrich, Sarah, Konietschke, Frank and Pauly, Markus (2016). GFD: An R-package for the Analysis of General Factorial Designs - along with a Graphical User Interface. Journal of Statistical Software, to appear.
  9. Pauly, Markus, Asendorf, Thomas, and Konietschke, Frank (2016). Permutation-based inference for the AUC: A unified approach for continuous and discontinuous data. Biometrical Journal 58, 1319-1337.
  10. Friedrich, Sarah, Konietschke, Frank and Pauly, Markus (2016). A Wild Bootstrap Approach for Nonparametric Repeated Measurements. Computational Statistics and Data Analysis. doi:10.1016/j.csda.2016.06.016
  11. Dickhaus, Thorsten and Pauly, Markus (2016). Simultaneous Statistical Inference in Dynamic Factor Models. In: I. Rojas, H. Pomares (eds.), Time Series Analysis and Forecasting, Contributions to Statistics, 27-45. (also: Proceedings of the ITISE 2015, 143-160.)
  12. Konietschke, Frank, Bathke, Arne C., Harrar, Solomon W. and Pauly, Markus (2015). Parametric and Nonparametric Bootstrap Methods for General MANOVA Journal of Multivariate Analysis 140, 291–301.
  13. Pauly, Markus Ellenberger, David and Brunner, Edgar (2015). Analysis of High-Dimensional One Group Repeated Measures Designs. Statistics 49, 1243-1261. 
  14. Jentsch, Carsten and Pauly, Markus (2015). Testing equality of spectral densities using randomisation techniques. Bernoulli 21, 697–739.
  15. Dümbgen, Lutz, Pauly, Markus and Schweizer, Thomas (2015). M-Functionals of Multivariate Scatter. Statistics Surveys 9, 32-105.
  16. Pauly, Markus, Brunner, Edgar and Konietschke, Frank (2015). Asymptotic Permutation Tests in General Factorial Designs. Journal of the Royal Statistical Society - Series B 77, 461-473.
  17. Dobler, Dennis and Pauly, Markus (2014). Bootstrapping Aalen-Johansen Processes for Competing Risks: Handicaps, Solutions and Limitations. Electron. J. Statist. 8, 2779-2803.
  18. Konietschke, Frank and Pauly, Markus (2014). Bootstrapping and Permuting paired t-test type statistics. Statistics and Computing, 24, p. 283 - 296.
  19. Brendel, Michael, Janssen, Arnold, Mayer, Claus-Dieter, and Pauly, Markus (2014). Weighted logrank permutation tests for randomly right censored life science data. Scandinavian Journal of Statistics 41, 742-761.
  20. del Barrio, Eustasio, Janssen, Arnold, and Pauly, Markus (2013). The m(n) out of k(n) bootstrap for partial sums of St. Petersburg type games. Electronic Communications in Probability 18, No. 91, 1-10.
  21. Janssen, Arnold and Pauly, Markus (2013). The influence of sequential extremal processes on the partial sum process. Extremes, 16, p. 19 - 54.
  22. Beyersmann, Jan, di Termini, Susanna, and Pauly, Markus (2013). The wild bootstrap for the Aalen-Johansen estimator of the cumulative incidence function of a competing risk. Scandinavian Journal of Statistics, 40, p. 387-402.
  23. Konietschke, Frank and Pauly, Markus (2012). A studentized permutation test for the non-parametric Behrens-Fisher problem in paired data. Electron. J. Stat., 6, p. 1358 - 1372.
  24. Omelka, Marek and Pauly, Markus (2012). Testing equality of correlation coefficients in an potentially unbalanced two-sample problem via permutation methods. J. Stat. Plan. Inf., 142 p. 1396 - 1406.
  25. Jentsch, Carsten and Pauly, Markus (2012). A note on using periodogram-based distances for comparing spectral densities. Stat. Prob. Lett., 82, p. 158 - 164.
  26. Pauly, Markus (2012). Consistency of the Subsample Bootstrap empirical process. Statistics, 46, p. 621 - 626.
  27. Pauly, Markus (2011). Weighted resampling of martingale difference arrays with applications. Electron. J. Stat., 5 p. 41 - 52.
  28. Barczyk, Adam, Janssen, Arnold, and Pauly, Markus (2011). The asymptotics of L-statistics for non I.I.D. variables with heavy tails. Probab. Math. Statist., 31, p. 285 - 299.
  29. Pauly, Markus (2011). Discussion about the quality of F-ratio resampling tests for comparing variances. TEST, 20, p. 163 - 179.
  30. Janssen, Arnold and Pauly, Markus: Asymptotics and effectiveness of conditional tests with applications to randomization tests. Technical Report, University of Duesseldorf, (2009)


Current Projects:

Former Projects:



Ulm University
Institute of Statistics
Helmholtzstr. 20 (Room E.43)
89081 Ulm


Phone: (+49) 731/ 50 33105
E-Mail: markus.pauly(at)
Office Hour: On appointment via e-mail : - )