16 citations · 25 across the 8 of their papers we have counts for
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stat.AP2020★ 1 cited
Permutation-based true discovery proportions for functional Magnetic Resonance Imaging cluster analysis
Angela Andreella, Jesse Hemerik, Wouter Weeda +2
We propose a permutation-based method for testing a large collection of hypotheses simultaneously. Our method provides lower bounds for the number of true discoveries in any select…
stat.ME2020★ 16 cited
Procrustes analysis for high-dimensional data
Angela Andreella, Livio Finos
The Procrustes-based perturbation model (Goodall, 1991) allows minimization of the Frobenius distance between matrices by similarity transformation. However, it suffers from non-id…