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Mathematical Statistics - Institute for Statistics - Faculty 3 - Mathematics and Computer Science

 

Research topics

Granted projects

Publications (since March 2015)

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, online first.
  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, accepted for publication.

Contributions to Compilations / Book Chapters

Technical Reports and Discussion Papers

Talks