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Thorsten Dickhaus

Personal Details

First Name:Thorsten
Middle Name:
Last Name:Dickhaus
Suffix:
RePEc Short-ID:pdi291
[This author has chosen not to make the email address public]
https://www.math.uni-bremen.de/~dickhaus/
University of Bremen Institute for Statistics (FB 3) P. O. Box 330 440 D-28344 Bremen
+4942121863651
Terminal Degree:2008 (from RePEc Genealogy)

Affiliation

Universität Bremen, Institut für Statistik

http://www.math.uni-bremen.de/statistik/
Germany, Bremen

Research output

as
Jump to: Working papers Articles

Working papers

  1. Jens Stange & Thorsten Dickhaus & Arcadi Navarro & Daniel Schunk, 2015. "Multiplicity-and dependency-adjusted p-values for control of the family-wise error rate," Working Papers 1505, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz, revised 29 Jun 2015.
  2. Dickhaus, Thorsten & Stange, Jens, 2012. "Multiple point hypothesis test problems and effective numbers of tests," SFB 649 Discussion Papers 2012-041, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
  3. Dickhaus, Thorsten & Gierl, Jakob, 2012. "Simultaneous test procedures in terms of p-value copulae," SFB 649 Discussion Papers 2012-049, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
  4. Dickhaus, Thorsten, 2012. "Simultaneous statistical inference in dynamic factor models," SFB 649 Discussion Papers 2012-033, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
  5. Dickhaus, Thorsten & Gierl, Jakob, 2012. "Simultaneous test procedures in terms of p-value copulae," SFB 649 Discussion Papers 2012-049, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
  6. Dickhaus, Thorsten, 2012. "Simultaneous statistical inference in dynamic factor models," SFB 649 Discussion Papers 2012-033, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.

Articles

  1. Friederike Preusse & Anna Vesely & Thorsten Dickhaus, 2025. "Confidence bounds for the true discovery proportion based on the exact distribution of the number of rejections," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 77(2), pages 191-216, April.
  2. Justus Contzen & Thorsten Dickhaus & Gerrit Lohmann, 2023. "Long-term temporal evolution of extreme temperature in a warming Earth," PLOS ONE, Public Library of Science, vol. 18(2), pages 1-30, February.
  3. Anh-Tuan Hoang & Thorsten Dickhaus, 2022. "On the usage of randomized p-values in the Schweder–Spjøtvoll estimator," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 74(2), pages 289-319, April.
  4. von Schroeder, Jonathan & Dickhaus, Thorsten, 2020. "Efficient calculation of the joint distribution of order statistics," Computational Statistics & Data Analysis, Elsevier, vol. 144(C).
  5. Steffen Nico & Dickhaus Thorsten, 2020. "Erratum regarding “Optimizing effective numbers of tests by vine copula modeling”," Dependence Modeling, De Gruyter, vol. 8(1), pages 262-262, January.
  6. Steffen Nico & Dickhaus Thorsten, 2020. "Optimizing effective numbers of tests by vine copula modeling," Dependence Modeling, De Gruyter, vol. 8(1), pages 172-185, January.
  7. André Neumann & Thorsten Dickhaus, 2020. "Nonparametric Archimedean generator estimation with implications for multiple testing," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 104(2), pages 309-323, June.
  8. Dickhaus, Thorsten & Sirotko-Sibirskaya, Natalia, 2019. "Simultaneous statistical inference in dynamic factor models: Chi-square approximation and model-based bootstrap," Computational Statistics & Data Analysis, Elsevier, vol. 129(C), pages 30-46.
  9. Taras Bodnar & Thorsten Dickhaus, 2017. "On the Simes inequality in elliptical models," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 69(1), pages 215-230, February.
  10. Konstantin Schildknecht & Karsten Tabelow & Thorsten Dickhaus, 2016. "More Specific Signal Detection in Functional Magnetic Resonance Imaging by False Discovery Rate Control for Hierarchically Structured Systems of Hypotheses," PLOS ONE, Public Library of Science, vol. 11(2), pages 1-21, February.
  11. Stange, Jens & Dickhaus, Thorsten & Navarro, Arcadi & Schunk, Daniel, 2016. "Multiplicity- and dependency-adjusted p-values for control of the family-wise error rate," Statistics & Probability Letters, Elsevier, vol. 111(C), pages 32-40.
  12. Konstantin Schildknecht & Sven Olek & Thorsten Dickhaus, 2015. "Simultaneous Statistical Inference for Epigenetic Data," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-15, May.
  13. Dickhaus Thorsten, 2015. "Simultaneous Bayesian analysis of contingency tables in genetic association studies," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 14(4), pages 347-360, August.
  14. Dickhaus Thorsten & Stange Jens & Demirhan Haydar, 2015. "On an extended interpretation of linkage disequilibrium in genetic case-control association studies," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 14(5), pages 497-505, November.
  15. Jens Stange & Taras Bodnar & Thorsten Dickhaus, 2015. "Uncertainty quantification for the family-wise error rate in multivariate copula models," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 99(3), pages 281-310, July.
  16. Dickhaus Thorsten & Straßburger Klaus & Schunk Daniel & Morcillo-Suarez Carlos & Illig Thomas & Navarro Arcadi, 2012. "How to analyze many contingency tables simultaneously in genetic association studies," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 11(4), pages 1-33, July.
  17. Helmut Finner & Veronika Gontscharuk & Thorsten Dickhaus, 2012. "False Discovery Rate Control of Step-Up-Down Tests with Special Emphasis on the Asymptotically Optimal Rejection Curve," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 39(2), pages 382-397, June.
  18. Thorsten Dickhaus, 2012. "Multiple Comparisons Using R by BRETZ, F., HOTHORN, T., and WESTFALL, P," Biometrics, The International Biometric Society, vol. 68(3), pages 995-995, September.
  19. Finner, Helmut & Dickhaus, Thorsten, 2010. "Edgeworth expansions and rates of convergence for normalized sums: Chung's 1946 method revisited," Statistics & Probability Letters, Elsevier, vol. 80(23-24), pages 1875-1880, December.
  20. Finner, Helmut & Roters, Markus & Dickhaus, Thorsten, 2007. "Characterizing Density Crossing Points," The American Statistician, American Statistical Association, vol. 61, pages 28-33, February.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Jens Stange & Thorsten Dickhaus & Arcadi Navarro & Daniel Schunk, 2015. "Multiplicity-and dependency-adjusted p-values for control of the family-wise error rate," Working Papers 1505, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz, revised 29 Jun 2015.

    Cited by:

    1. Jens Stange & Thorsten Dickhaus & Arcadi Navarro & Daniel Schunk, 2015. "Multiplicity-and dependency-adjusted p-values for control of the family-wise error rate," Working Papers 1505, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz, revised 29 Jun 2015.
    2. Anh-Tuan Hoang & Thorsten Dickhaus, 2022. "On the usage of randomized p-values in the Schweder–Spjøtvoll estimator," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 74(2), pages 289-319, April.

  2. Dickhaus, Thorsten & Gierl, Jakob, 2012. "Simultaneous test procedures in terms of p-value copulae," SFB 649 Discussion Papers 2012-049, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.

    Cited by:

    1. Jens Stange & Thorsten Dickhaus & Arcadi Navarro & Daniel Schunk, 2015. "Multiplicity-and dependency-adjusted p-values for control of the family-wise error rate," Working Papers 1505, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz, revised 29 Jun 2015.
    2. Elisa C. J. Maria & Isabel Salazar & Luis Sanz & Miguel A. Gómez-Villegas, 2020. "Using Copula to Model Dependence When Testing Multiple Hypotheses in DNA Microarray Experiments: A Bayesian Approximation," Mathematics, MDPI, vol. 8(9), pages 1-22, September.
    3. Steffen Nico & Dickhaus Thorsten, 2020. "Optimizing effective numbers of tests by vine copula modeling," Dependence Modeling, De Gruyter, vol. 8(1), pages 172-185, January.
    4. André Neumann & Thorsten Dickhaus, 2020. "Nonparametric Archimedean generator estimation with implications for multiple testing," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 104(2), pages 309-323, June.

  3. Dickhaus, Thorsten, 2012. "Simultaneous statistical inference in dynamic factor models," SFB 649 Discussion Papers 2012-033, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.

    Cited by:

    1. Dickhaus, Thorsten & Sirotko-Sibirskaya, Natalia, 2019. "Simultaneous statistical inference in dynamic factor models: Chi-square approximation and model-based bootstrap," Computational Statistics & Data Analysis, Elsevier, vol. 129(C), pages 30-46.

  4. Dickhaus, Thorsten & Gierl, Jakob, 2012. "Simultaneous test procedures in terms of p-value copulae," SFB 649 Discussion Papers 2012-049, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.

    Cited by:

    1. Jens Stange & Thorsten Dickhaus & Arcadi Navarro & Daniel Schunk, 2015. "Multiplicity-and dependency-adjusted p-values for control of the family-wise error rate," Working Papers 1505, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz, revised 29 Jun 2015.
    2. Elisa C. J. Maria & Isabel Salazar & Luis Sanz & Miguel A. Gómez-Villegas, 2020. "Using Copula to Model Dependence When Testing Multiple Hypotheses in DNA Microarray Experiments: A Bayesian Approximation," Mathematics, MDPI, vol. 8(9), pages 1-22, September.
    3. Steffen Nico & Dickhaus Thorsten, 2020. "Optimizing effective numbers of tests by vine copula modeling," Dependence Modeling, De Gruyter, vol. 8(1), pages 172-185, January.
    4. André Neumann & Thorsten Dickhaus, 2020. "Nonparametric Archimedean generator estimation with implications for multiple testing," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 104(2), pages 309-323, June.

  5. Dickhaus, Thorsten, 2012. "Simultaneous statistical inference in dynamic factor models," SFB 649 Discussion Papers 2012-033, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.

    Cited by:

    1. Dickhaus, Thorsten & Sirotko-Sibirskaya, Natalia, 2019. "Simultaneous statistical inference in dynamic factor models: Chi-square approximation and model-based bootstrap," Computational Statistics & Data Analysis, Elsevier, vol. 129(C), pages 30-46.

Articles

  1. Anh-Tuan Hoang & Thorsten Dickhaus, 2022. "On the usage of randomized p-values in the Schweder–Spjøtvoll estimator," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 74(2), pages 289-319, April.

    Cited by:

    1. Daniel Ochieng, 2024. "Multiple testing of interval composite null hypotheses using randomized p-values," Statistical Papers, Springer, vol. 65(8), pages 5055-5076, October.

  2. von Schroeder, Jonathan & Dickhaus, Thorsten, 2020. "Efficient calculation of the joint distribution of order statistics," Computational Statistics & Data Analysis, Elsevier, vol. 144(C).

    Cited by:

    1. Friederike Preusse & Anna Vesely & Thorsten Dickhaus, 2025. "Confidence bounds for the true discovery proportion based on the exact distribution of the number of rejections," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 77(2), pages 191-216, April.

  3. Taras Bodnar & Thorsten Dickhaus, 2017. "On the Simes inequality in elliptical models," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 69(1), pages 215-230, February.

    Cited by:

    1. Xiong, Peihan & Hu, Taizhong, 2022. "On Samuel’s p-value model and the Simes test under dependence," Statistics & Probability Letters, Elsevier, vol. 187(C).

  4. Stange, Jens & Dickhaus, Thorsten & Navarro, Arcadi & Schunk, Daniel, 2016. "Multiplicity- and dependency-adjusted p-values for control of the family-wise error rate," Statistics & Probability Letters, Elsevier, vol. 111(C), pages 32-40.
    See citations under working paper version above.
  5. Konstantin Schildknecht & Sven Olek & Thorsten Dickhaus, 2015. "Simultaneous Statistical Inference for Epigenetic Data," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-15, May.

    Cited by:

    1. Koyel Majumdar & Romina Silva & Antoinette Sabrina Perry & Ronald William Watson & Andrea Rau & Florence Jaffrezic & Thomas Brendan Murphy & Isobel Claire Gormley, 2024. "A novel family of beta mixture models for the differential analysis of DNA methylation data: An application to prostate cancer," PLOS ONE, Public Library of Science, vol. 19(12), pages 1-21, December.

  6. Jens Stange & Taras Bodnar & Thorsten Dickhaus, 2015. "Uncertainty quantification for the family-wise error rate in multivariate copula models," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 99(3), pages 281-310, July.

    Cited by:

    1. Christina C. Bartenschlager & Jens O. Brunner, 2019. "Reaching for the stars: attention to multiple testing problems and method recommendations using simulation for business research," Journal of Business Economics, Springer, vol. 89(4), pages 447-479, June.
    2. Jens Stange & Thorsten Dickhaus & Arcadi Navarro & Daniel Schunk, 2015. "Multiplicity-and dependency-adjusted p-values for control of the family-wise error rate," Working Papers 1505, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz, revised 29 Jun 2015.
    3. Steffen Nico & Dickhaus Thorsten, 2020. "Optimizing effective numbers of tests by vine copula modeling," Dependence Modeling, De Gruyter, vol. 8(1), pages 172-185, January.
    4. André Neumann & Thorsten Dickhaus, 2020. "Nonparametric Archimedean generator estimation with implications for multiple testing," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 104(2), pages 309-323, June.
    5. Carsten Bormann & Melanie Schienle, 2020. "Detecting Structural Differences in Tail Dependence of Financial Time Series," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(2), pages 380-392, April.

  7. Dickhaus Thorsten & Straßburger Klaus & Schunk Daniel & Morcillo-Suarez Carlos & Illig Thomas & Navarro Arcadi, 2012. "How to analyze many contingency tables simultaneously in genetic association studies," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 11(4), pages 1-33, July.

    Cited by:

    1. Jens Stange & Thorsten Dickhaus & Arcadi Navarro & Daniel Schunk, 2015. "Multiplicity-and dependency-adjusted p-values for control of the family-wise error rate," Working Papers 1505, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz, revised 29 Jun 2015.
    2. Anh-Tuan Hoang & Thorsten Dickhaus, 2022. "On the usage of randomized p-values in the Schweder–Spjøtvoll estimator," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 74(2), pages 289-319, April.
    3. Daniel Ochieng, 2024. "Multiple testing of interval composite null hypotheses using randomized p-values," Statistical Papers, Springer, vol. 65(8), pages 5055-5076, October.
    4. Dickhaus Thorsten, 2015. "Simultaneous Bayesian analysis of contingency tables in genetic association studies," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 14(4), pages 347-360, August.
    5. Marina Bogomolov & Ruth Heller, 2018. "Assessing replicability of findings across two studies of multiple features," Biometrika, Biometrika Trust, vol. 105(3), pages 505-516.
    6. Marta Cousido‐Rocha & Jacobo de Uña‐Álvarez & Sebastian Döhler, 2022. "Multiple comparison procedures for discrete uniform and homogeneous tests," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 71(1), pages 219-243, January.

  8. Helmut Finner & Veronika Gontscharuk & Thorsten Dickhaus, 2012. "False Discovery Rate Control of Step-Up-Down Tests with Special Emphasis on the Asymptotically Optimal Rejection Curve," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 39(2), pages 382-397, June.

    Cited by:

    1. Dickhaus, Thorsten, 2012. "Simultaneous statistical inference in dynamic factor models," SFB 649 Discussion Papers 2012-033, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    2. Habiger, Joshua D. & Adekpedjou, Akim, 2014. "Optimal rejection curves for exact false discovery rate control," Statistics & Probability Letters, Elsevier, vol. 94(C), pages 21-28.
    3. Friederike Preusse & Anna Vesely & Thorsten Dickhaus, 2025. "Confidence bounds for the true discovery proportion based on the exact distribution of the number of rejections," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 77(2), pages 191-216, April.
    4. von Schroeder, Jonathan & Dickhaus, Thorsten, 2020. "Efficient calculation of the joint distribution of order statistics," Computational Statistics & Data Analysis, Elsevier, vol. 144(C).
    5. Axel Gandy & Georg Hahn, 2014. "MMCTest—A Safe Algorithm for Implementing Multiple Monte Carlo Tests," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 41(4), pages 1083-1101, December.

  9. Finner, Helmut & Roters, Markus & Dickhaus, Thorsten, 2007. "Characterizing Density Crossing Points," The American Statistician, American Statistical Association, vol. 61, pages 28-33, February.

    Cited by:

    1. Pascal Beckedorf & Angelika Rohde, 2025. "Non-uniform Bounds and Edgeworth Expansions in Self-normalized Limit Theorems," Journal of Theoretical Probability, Springer, vol. 38(1), pages 1-94, March.
    2. María Concepción López-Díaz & Miguel López-Díaz & Sergio Martínez-Fernández, 2018. "Stochastic orders to approach investments in condor financial derivatives," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 27(1), pages 122-146, March.
    3. Berenhaut, Kenneth S. & Chen, Donghui & Tran, Vy, 2008. "On the compatibility of Dyson's conditions," Statistics & Probability Letters, Elsevier, vol. 78(17), pages 3110-3113, December.

More information

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Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 2 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-ECM: Econometrics (2) 2012-05-15 2015-07-04

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