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06/13/2023
Regionalization approaches for the spatial analysis of extremal dependence
The impact of an extreme climate event depends strongly on its geographi...
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06/12/2023
On the closed-loop Volterra method for analyzing time series
The main focus of this paper is to approximate time series data based on...
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08/12/2022
Randomized p-values in Binomial Models and in Group Testing
When screening for rare diseases in large populations, conducting indivi...
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07/27/2022
Long-term temporal evolution of extreme temperature in a warming Earth
We present a new approach to modeling the future development of extreme ...
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03/11/2022
Combining Multiple Testing with Multivariate Singular Spectrum Analysis
Appropriate preprocessing is a fundamental prerequisite for analyzing a ...
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02/24/2022
Multiple multi-sample testing under arbitrary covariance dependency
Modern high-throughput biomedical devices routinely produce data on a la...
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10/13/2021
Multiple testing of partial conjunction null hypotheses with conditional p-values based on combination test statistics
The partial conjunction null hypothesis is tested in order to discover a...
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08/18/2021
Multiple two-sample testing under arbitrary covariance dependency with an application in imaging mass spectrometry
Large-scale hypothesis testing has become a ubiquitous problem in high-d...
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05/19/2021
Standard Curves for Empirical Likelihood Ratio Tests of Means
We present simulated standard curves for the calibration of empirical li...
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04/27/2021
Combining independent p-values in replicability analysis: A comparative study
Given a family of null hypotheses H_1,…,H_s, we are interested in the hy...
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10/20/2020
Volterra bootstrap: Resampling higher-order statistics for strictly stationary univariate time series
We are concerned with nonparametric hypothesis testing of time series fu...
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04/17/2020
On the usage of randomized p-values in the Schweder-Spjotvoll estimator
We are concerned with multiple test problems with composite null hypothe...
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02/24/2020
Optimizing effective numbers of tests by vine copula modeling
In the multiple testing context, we utilize vine copulae for optimizing ...
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12/15/2019
Randomized p-values for multiple testing and their application in replicability analysis
We are concerned with testing replicability hypotheses for many endpoint...
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03/27/2019
Non-parametric Archimedean generator estimation with implications for multiple testing
In multiple testing, the family-wise error rate can be bounded under som...
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12/21/2018
