Publikationen

Books

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. 74pages289–319 (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

Articles in other Journals and Proceedings

Technical Reports and Discussion Papers

Other Publications

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