Abstract
This note addresses a key limitation of the Folding Test of Unimodality (FTU). In specific univariate mixture settings, the folding-based criterion can systematically fail, misclassifying clearly multimodal distributions as unimodal. We fully characterize these failures for Dirac mixtures and extend the analysis to Gaussian mixtures. We then introduce a double-folding procedure that captures complementary information, leading to a new test, the Double Folding Test of Unimodality. It resolves the FTU failures and improves multimodality detection power in simulations.
Keywords
Dip test; Mixture distribution; Multimodality; Unimodality test;
Reference
Colombe Becquart, Aurore Archimbaud, Anne M. Ruiz, and Zaineb Smida, “A Note on the Folding Test of Unimodality: limitation and improved alternative”, arXiv, n. 2605.13326, May 2026.
See also
Published in
arXiv, n. 2605.13326, May 2026
