Publikationen

Articles in refereed Journals

1. Konstantin Schildknecht, Sven Olek, Thorsten Dickhaus:
   Simultaneous Statistical Inference for Epigenetic Data
   PLOS ONE, Vol. 10, No. 5 (2015), e0125587.
    

2. Jens Stange, Nina Loginova, Thorsten Dickhaus:
   Computing and approximating multivariate chi-square probabilities
   Journal of Statistical Computation and Simulation, Vol. 86, No. 6 (2016), 1233-1247.
    

3. Thorsten Dickhaus:
   Simultaneous Bayesian analysis of contingency tables in genetic association studies
   Statistical Applications in Genetics and Molecular Biology, Vol. 14, No. 4 (2015), 347-360.
    

4. Taras Bodnar, Thorsten Dickhaus:
   On the Simes inequality in elliptical models
   Annals of the Institute of Statistical Mathematics, Vol. 69, No. 1 (2017), 215-230.
    

5. Na Zhu, Verena Heinrich, Thorsten Dickhaus, Jochen Hecht, Peter N. Robinson,
   Stefan Mundlos, Tom Kamphans, Peter M. Krawitz:
   Strategies to improve the performance of rare variant association studies by
   optimizing the selection of controls
   Bioinformatics, Vol. 31, No. 22 (2015), 3577-3583.
    

6. Thorsten Dickhaus, Jens Stange, Haydar Demirhan:
   On an extended interpretation of linkage disequilibrium in genetic
   case-control association studies
   Statistical Applications in Genetics and Molecular Biology, Vol. 14, No. 5 (2015), 497-505.
    

7. Jens Stange, Thorsten Dickhaus, Arcadi Navarro, Daniel Schunk:
   Multiplicity- and dependency-adjusted p-values for control of the family-wise error rate
   Statistics & Probability Letters, Vol. 111, 2016, 32-40.
    

8. Konstantin Schildknecht, Karsten Tabelow, Thorsten Dickhaus:
   More Specific Signal Detection in Functional Magnetic Resonance Imaging by False
   Discovery Rate Control for Hierarchically Structured Systems of Hypotheses
   PLOS ONE, Vol. 11, No. 2 (2016), e0149016.
    

9. Rostyslav Bodnar, Taras Bodnar, Wolfgang Schmid:
   Multivariate autoregressive extreme value process and its application for modeling the
   time series properties of the extreme daily asset prices
   Communications in Statistics - Theory and Methods, Vol. 45, No. 12 (2016), 3421-3440.
    

10. Bettina Mieth, Marius Kloft, Juan Antonio Rodriguez, Sören Sonnenburg,
    Robin Vobruba, Carlos Morcillo-Suarez, Xavier Farre, Urko M. Marigorta,
    Ernst Fehr, Thorsten Dickhaus, Gilles Blanchard, Daniel Schunk, Arcadi Navarro,
    Klaus-Robert Müller:
    Combining Multiple Hypothesis Testing with Machine Learning Increases the
    Statistical Power of Genome-wide Association Studies
    Scientific Reports, Vol. 6 (2016), Article 36671.
     
11. André Neumann, Taras Bodnar, Dietmar Pfeifer, Thorsten Dickhaus:
    Multivariate multiple test procedures based on nonparametric copula estimation
    Biometrical Journal, Vol. 61, No. 1 (2019), 40-61.
     
12. Thorsten Dickhaus, Natalia Sirotko-Sibirskaya:
    Simultaneous Statistical Inference in Dynamic Factor Models:
    Chi-Square Approximation and Model-Based Bootstrap
    Computational Statistics & Data Analysis, Vol. 129 (2019), 30-46.
     
13. Jonathan von Schroeder, Thorsten Dickhaus:
    Efficient Calculation of the Joint Distribution of Order Statistics
    Computational Statistics & Data Analysis, Vol. 144 (2020), Article 106899.
     
14. André Neumann, Thorsten Dickhaus:
    Nonparametric Archimedean generator estimation with implications for multiple testing
    AStA Advances in Statistical Analysis, Vol. 104 (2020), 309-323.
     
15. André Neumann, Taras Bodnar, Thorsten Dickhaus:
    Estimating the proportion of true null hypotheses under dependency:
    A marginal bootstrap approach
    Journal of Statistical Planning and Inference, Vol. 210 (2021), 76-86.
     
16. Nico Steffen, Thorsten Dickhaus:
    Optimizing effective numbers of tests by vine copula modeling
    Dependence Modeling, Vol. 8, No. 1 (2020), 172-185.
    (Erratum: Dependence Modeling, Vol. 8, No. 1 (2020), 262.)
     
17. Anh-Tuan Hoang, Thorsten Dickhaus:
    Randomized p-values for multiple testing and their application in replicability analysis
    Biometrical Journal, Vol. 64, Issue 2, Special Issue: Multiple Comparisons (MCP 2019)
     
18. Gerlind U.C. Lehmann, Sina Kuchenreuther, Arne W. Lehmann, Thorsten Dickhaus:
    Correlated sexual selection on male genitalia, copulatory performance and nuptial gifts in a bushcricket (Orthoptera: Tettigoniidae) indicated by allometric scaling
    Biological Journal of the Linnean Society, Vol. 133, No. 4 (2021), 1043-1056.
     

19. Anh-Tuan Hoang, Thorsten Dickhaus:
    On the usage of randomized p-values in the Schweder-Spjøtvoll estimator
    Annals of the Institute of Statistical Mathematics, Vol. 74, pages289–319 (2022).
     

20. Natalia Sirotko-Sibirskaya, Maria Magdalena Hernández-Cedillo, Thorsten Dickhaus, Christian Müller, Regina Usbeck:
    Improved inversion procedure for obtaining thermal properties of marine sediments via expansion of the temperature decay function
    GEM - International Journal on Geomathematics, Vol. 12 (2021), Article 15.
     

21. Maryam Movahedifar, Hossein Hassani, Masoud Yarmohammadi, Mahdi Kalantari, Rangan Gupta:
    A robust approach for outlier imputation: Singular spectrum decomposition
    Communications in Statistics: Case Studies, Data Analysis and Applications, Vol. 8 (2022), Pages 234-250
     

22. Maria-Theresia Verwega, Carola Trahms, Avan N. Antia, Thorsten Dickhaus,
    Enno Prigge, Martin H. U. Prinzler, Matthias Renz, Markus Schartau,
    Thomas Slawig, Christopher J. Somes, Arne Biastoch:
    Perspectives on Marine Data Science as a Blueprint for Emerging Data Science Discipline
    Frontiers in Marine Science, Vol. 8 (2021), Article 678404.
     

23. Anh-Tuan Hoang, Thorsten Dickhaus:
    Combining independent p-values in replicability analysis: a comparative study
     

24. Justus Contzen, Thorsten Dickhaus, Gerrit Lohmann:
    Variability and extremes: statistical validation of the Alfred Wegener Institute
    Earth System Model (AWI-ESM)
    Geoscientific Model Development, Vol. 15, No. 4 (2022), 1803-1820.
     
25. Vladimir Vutov, Thorsten Dickhaus:
    Multiple two-sample testing under arbitrary covariance dependency with an
    application in imaging mass spectrometry
    Biometrical Journal, Vol 65, Issue 2 (2023).
     
26. Jonathan von Schroeder, Taras Bodnar, Thorsten Dickhaus:
    Reverse Stress Testing in Skew-Elliptical Models
    Theory of Probability and Mathematical Statistics, accepted for publication.
     
27. Justus Contzen, Thorsten Dickhaus, Gerrit Lohmann:
    Long-term temporal evolution of extreme temperature in a warming Earth
    PLOS ONE, Vol. 18, No. 2 (2023), e0280503.
     
28. Vladimir Vutov, Thorsten Dickhaus:
    Multiple multi-sample testing under arbitrary covariance dependency
    Statistics in Medicine, Vol. 42, No. 17 (2023), 2944-2961.
     
29. Daniel Ochieng, Anh-Tuan Hoang, Thorsten Dickhaus:
    Multiple testing of composite null hypotheses for discrete data using
    randomized p-values
    Biometrical Journal, accepted for publication.

Contributions to Compilations / Book Chapters

• Thorsten Dickhaus, Markus Pauly:
  Simultaneous Statistical Inference in Dynamic Factor Models
  in: Ignacio Rojas, Héctor Pomares (Eds.):
  Time Series Analysis and Forecasting
  Springer, Contributions to Statistics, ISBN 978-3-319-28723-2, 2016
• Ruben G. L. Real, Thorsten Dickhaus, Albert Ludolph, Martin Hautzinger, Andrea Kübler:
  Well-being in amyotrophic lateral sclerosis: A pilot experience sampling study
  in: Francesco Pagnini, Gianluca Castelnuovo (Eds.):
  Psychological Issues in Amyotrophic Lateral Sclerosis
  Frontiers Research Topics, ISBN 978-2-88919-758-3, 2016
• Thorsten Dickhaus:
  Statistical Approaches for Epigenetic Data Analysis
  Chapter 3 in: Loo Keat Wei (Ed.):
  Computational Epigenetics and Diseases
  Academic Press, Volume 9 in Translational Epigenetics, ISBN 978-0-12-814513-5, 2019
• Xinping Cui, Thorsten Dickhaus, Ying Ding, Jason C. Hsu:
  An Overview of Multiple Comparisons
  Chapter 1 in: Xinping Cui, Thorsten Dickhaus, Ying Ding, Jason C. Hsu (Eds.):
  Handbook of Multiple Comparisons
  Chapman & Hall / CRC Handbooks of Modern Statistical Methods, ISBN 978-0367140670, 2021
• Thorsten Dickhaus, André Neumann, Taras Bodnar:
  Multivariate Multiple Test Procedures
  Chapter 3 in: Xinping Cui, Thorsten Dickhaus, Ying Ding, Jason C. Hsu (Eds.):
  Handbook of Multiple Comparisons
  Chapman & Hall / CRC Handbooks of Modern Statistical Methods, ISBN 978-0367140670, 2021
   

Articles in other Journals and Proceedings

• Thorsten Dickhaus, Helmut Finner:
  Asymptotic Density Crossing Points of Self-Normalized Sums and Normal
  Proceedings of the 3rd Annual International Conference on Computational Mathematics,
  Computational Geometry & Statistics (CMCGS 2014), 84-88.
• Thorsten Dickhaus:
  Simultaneous test procedures in high dimensions: the extreme value approach
  Proceedings of the 4th Annual International Conference on Computational Mathematics,
  Computational Geometry & Statistics (CMCGS 2015), 71-74.
• Thorsten Dickhaus:
  Self-concordant profile empirical likelihood ratio tests for the population correlation
  coefficient: a simulation study
  Chapter 28 in: Ansgar Steland, Ewaryst Rafajłowicz, Krzysztof Szajowski (Eds.):
  Stochastic Models, Statistics and Their Applications
  Springer Proceedings in Mathematics & Statistics, Vol. 122 (2015), 253-260.
• Thorsten Dickhaus, Helmut Finner:
  Asymptotic Density Crossing Points of Self-Normalized Sums and Normal
  in: Ke Chen (Ed.):
  Forging Connections between Computational Mathematics and
  Computational Geometry
  Springer Proceedings in Mathematics & Statistics, Vol. 124 (2016), 199-210.
• Thorsten Dickhaus, Markus Pauly:
  Simultaneous Statistical Inference in Dynamic Factor Models
  Proceedings of the International work-conference on Time Series (ITISE 2015), 143-160.
• Thorsten Dickhaus:
  Combining high-dimensional classification and multiple hypotheses testing for
  the analysis of big data in genetics
  in: Asis Kumar Chattopadhyay, Gaurangadeb Chattopadhyay (Eds.):
  Statistics and its Applications
  Platinum Jubilee Conference, Kolkata, India, December 2016
  Springer Proceedings in Mathematics & Statistics, Vol. 244 (2018), 47-50.

Technical Reports and Discussion Papers

• Konstantin Schildknecht, Karsten Tabelow, Thorsten Dickhaus:
  More specific signal detection in functional magnetic resonance imaging by
  false discovery rate control for hierarchically structured systems of hypotheses
  WIAS Preprint No. 2127, June 2015
  Weierstrass Institute for Applied Analysis and Stochastics Berlin
• Jens Stange, Thorsten Dickhaus, Arcadi Navarro, Daniel Schunk:
  Multiplicity- and dependency-adjusted p-values for control of the family-wise error rate
  Discussion paper number 1505, June 2015
  Gutenberg School of Management and Economics, Johannes Gutenberg University Mainz
• André Neumann, Taras Bodnar, Dietmar Pfeifer, Thorsten Dickhaus:
  Statistical Properties of Bernstein Copulae with Applications in Multiple Testing
  Research Report 2016:13, June 2016
  Mathematical Statistics, Stockholm University
• André Neumann, Taras Bodnar, Thorsten Dickhaus:
  Estimating the Proportion of True Null Hypotheses under Copula Dependency
  Research Report 2017:09, June 2017
  Mathematical Statistics, Stockholm University
• Jonathan von Schroeder, Thorsten Dickhaus:
  Efficient Calculation of the Joint Distribution of Order Statistics
  Preprint, December 2018
  arXiv.org > stat > arXiv:1812.09063
• André Neumann, Thorsten Dickhaus:
  Non-parametric Archimedean generator estimation with implications for multiple testing
  Preprint, March 2019
  arXiv.org > stat > arXiv:1903.11371
• Jonathan von Schroeder, Taras Bodnar, Thorsten Dickhaus:
  Reverse Stress Testing in Skew-Elliptical Models
  Research Report 2019:04, April 2019
  Mathematical Statistics, Stockholm University
• Anh-Tuan Hoang, Thorsten Dickhaus:
  Randomized p-values for multiple testing and their application in replicability analysis
  Preprint, December 2019
  arXiv.org > stat > arXiv:1912.06982
• Thorsten Dickhaus, André Neumann, Taras Bodnar:
  Multivariate multiple test procedures
  Research Report 2019:17, December 2019
  Mathematical Statistics, Stockholm University
• Nico Steffen, Thorsten Dickhaus:
  Optimizing effective numbers of tests by vine copula modeling
  Preprint, February 2020
  arXiv.org > stat > arXiv:2002.10281
• Anh-Tuan Hoang, Thorsten Dickhaus:
  On the usage of randomized p-values in the Schweder-Spjøtvoll estimator
  Preprint, April 2020
  arXiv.org > stat > arXiv:2004.08256
• Natalia Sirotko-Sibirskaya, Matthias O. Franz, Thorsten Dickhaus:
  Volterra bootstrap: Resampling higher-order statistics for strictly stationary
  univariate time series
  Preprint, October 2020
  arXiv.org > stat > arXiv:2010.10071
• André Neumann, Norman Peitek, André Brechmann, Karsten Tabelow,
  Thorsten Dickhaus:
  Utilizing anatomical information for signal detection in functional
  magnetic resonance imaging
  WIAS Preprint No. 2806, January 2021
  Weierstrass Institute for Applied Analysis and Stochastics Berlin
• Jost Viebrock, Thorsten Dickhaus:
  Standard Curves for Empirical Likelihood Ratio Tests of Means
  Preprint, May 2021
  arXiv.org > stat > arXiv:2105.09031
• Justus Contzen, Thorsten Dickhaus, Gerrit Lohmann:
  Variability and extremes: Statistical validation of the AWI-ESM
  Geoscientific Model Development Discussions
  Preprint, July 2021
• Vladimir Vutov, Thorsten Dickhaus:
  Multiple two-sample testing under arbitrary covariance dependency with
  an application in imaging mass spectrometry
  Preprint, August 2021
  arXiv.org > stat > arXiv:2108.08123
• Thorsten Dickhaus, Ruth Heller, Anh-Tuan Hoang:
  Multiple testing of partial conjunction null hypotheses with conditional p-values based on
  combination test statistics
  Preprint, October 2021
  arXiv.org > stat > arXiv:2110.06692
• Vladimir Vutov, Thorsten Dickhaus:
  Multiple multi-sample testing under arbitrary covariance dependency
  Preprint, February 2022
  arXiv.org > stat > arXiv:2202.12347
• Maryam Movahedifar, Thorsten Dickhaus:
  Combining Multiple Testing with Multivariate Singular Spectrum Analysis
  Preprint, March 2022
  arXiv.org > stat > arXiv:2203.05831
• Justus Contzen, Thorsten Dickhaus, Gerrit Lohmann:
  Long-term temporal evolution of extreme temperature in a warming Earth
  Preprint, July 2022
  arXiv.org > stat > arXiv:2207.13512
• Daniel Ochieng, Anh-Tuan Hoang, Thorsten Dickhaus:
  Multiple testing of composite null hypotheses for discrete data using randomized p-values
  Preprint, August 2022
  arXiv.org > stat > arXiv:2208.06342
• Maryam Movahedifar, Thorsten Dickhaus:
  On the closed-loop Volterra method for analyzing time series
  Preprint, June 2023
  arXiv.org > stat > arXiv:2306.07007
• Justus Contzen, Thorsten Dickhaus, Gerrit Lohmann:
  Regionalization approaches for the spatial analysis of extremal dependence
  Preprint, June 2023
  arXiv.org > stat > arXiv:2306.07780
• Tom Schierenbeck, Vladimir Vutov, Thorsten Dickhaus, Michael Beetz:
  Integrating Transformations in Probabilistic Circuits
  Preprint, October 2023
  arXiv.org, forthcoming.

Other Publications

• Xinping Cui, Thorsten Dickhaus, Jason C. Hsu:
  Editorial: Special issue on multiple comparisons (MCP 2019)
  Biometrical Journal, Vol. 64, No. 2 (2022), 197.