Thorsten Dickhaus

University of Bremen — Germany

Mathematics · Physical Sciences

23h-index4.0kcitations161works0.12yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Statistical Methods in Clinical Trials(57), Statistical Methods and Inference(41), Statistical Methods and Bayesian Inference(24), Advanced Statistical Methods and Models(19), Genetic Associations and Epidemiology(16)

Publications161 total

Regionalization approaches for the spatial analysis of extremal dependence
Extremes·2025Open Access
Rescaled Bayes factors: A class of e-variables
Statistics & Probability Letters·2025Open Access
Editorial for the Special Collection “MCP 2022”
Biometrical Journal·2025Open Access
Identifying rapid changes in the hemodynamic response in event-related functional magnetic resonance imaging
arXiv (Cornell University)·2025Open Access
Confidence bounds for the true discovery proportion based on the exact distribution of the number of rejections
Annals of the Institute of Statistical Mathematics·2024Open Access
Rescaled Bayes factors: a class of e-variables
arXiv (Cornell University)·2024Open Access
Thorsten Dickhaus’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen
Journal of the Royal Statistical Society Series B (Statistical Methodology)·2024· 1 citedOpen Access
Multiple testing of composite null hypotheses for discrete data using randomized <i>p</i>‐values
Biometrical Journal·2023· 2 citedOpen Access
Confidence bounds for the true discovery proportion based on the exact distribution of the number of rejections
arXiv (Cornell University)·2023Open Access
Integrating Transformations in Probabilistic Circuits
arXiv (Cornell University)·2023Open Access
Reverse stress testing in skew-elliptical models
Theory of Probability and Mathematical Statistics·2023· 1 cited
Regionalization approaches for the spatial analysis of extremal dependence
arXiv (Cornell University)·2023Open Access
On the closed-loop Volterra method for analyzing time series
arXiv (Cornell University)·2023Open Access
Multiple multi‐sample testing under arbitrary covariance dependency
Statistics in Medicine·2023· 5 citedOpen Access
Long-term temporal evolution of extreme temperature in a warming Earth
PLoS ONE·2023· 3 citedOpen Access
Multiple two‐sample testing under arbitrary covariance dependency with an application in imaging mass spectrometry
Biometrical Journal·2022· 7 cited
Multiple testing of composite null hypotheses for discrete data using randomized $p$-values
arXiv (Cornell University)·2022Open Access
Long-term temporal evolution of extreme temperature in a warming Earth
arXiv (Cornell University)·2022Open Access
Combining Multiple Testing with Multivariate Singular Spectrum Analysis
arXiv (Cornell University)·2022Open Access
Variability and extremes: statistical validation of the Alfred Wegener Institute Earth System Model (AWI-ESM)
Geoscientific model development·2022· 10 citedOpen Access
page 1 of 9Next →

Frequent Co-authors

Benjamin Blankertz(8), Klaus‐Robert Müller(8), Jens Stange(7), Claudia Sannelli(6), Helmut Finner(5), Wolfgang Rathmann(4), Christa Meisinger(4), Taras Bodnar(4), Sebastian Halder(3), Gabriel Curio(3), Dan Ziegler(3), Andreas Mielck(3), Vladimir Spokoiny(3), Markus Roters(3), Sven Olek(3), Daniel Schunk(3), Arcadi Navarro(3), Eva Maria Hammer(2), Andrea Kübler(2), Stefan Haufe(2)