2 papers
stat.ME2026
permApprox: a general framework for accurate permutation p-value approximation
Stefanie Peschel, Anne-Laure Boulesteix, Erika von Mutius +1
Permutation procedures are common practice in hypothesis testing when distributional assumptions about the test statistic are not met or unknown. With only few permutations, empiri…
cs.DL2026
Overcoming Barriers to Computational Reproducibility
Roman Hornung, László Németh, Oleksandr Zadorozhny +13
Computational reproducibility, the possibility for independent researchers to exactly reproduce published empirical results, is fundamental to science. Despite its importance, the…