4 papers
Permutation testing in high-dimensional linear models: an empirical investigation
Jesse Hemerik, Magne Thoresen, Livio Finos
Permutation testing in linear models, where the number of nuisance coefficients is smaller than the sample size, is a well-studied topic. The common approach of such tests is to pe…
Another look at the Lady Tasting Tea and differences between permutation tests and randomization tests
Jesse Hemerik, Jelle J. Goeman
The statistical literature is known to be inconsistent in the use of the terms "permutation test" and "randomization test". Several authors succesfully argue that these terms shoul…
Robust testing in generalized linear models by sign-flipping score contributions
Jesse Hemerik, Jelle J Goeman, Livio Finos
Generalized linear models are often misspecified due to overdispersion, heteroscedasticity and ignored nuisance variables. Existing quasi-likelihood methods for testing in misspeci…
Permutation-based simultaneous confidence bounds for the false discovery proportion
Jesse Hemerik, Aldo Solari, Jelle J. Goeman
When multiple hypotheses are tested, interest is often in ensuring that the proportion of false discoveries (FDP) is small with high confidence. In this paper, confidence upper bou…