HAL will be down for maintenance from Friday, June 10 at 4pm through Monday, June 13 at 9am. More information
Skip to Main content Skip to Navigation
Journal articles

Semiparametric two-sample admixture components comparison test: The symmetric case

Abstract : In this paper, we consider admixture models which are two-component mixture distributions having one known component. This is the case when a gold standard reference component is well known, and when a population contains such a component plus another one with different features. When two populations are drawn from such models, we propose a penalized chi2-type testing procedure allowing a pairwise comparison of the unknown components, i.e. to test the equality of their residual features densities, under a symmetry condition. A numerical study is carried out from a large range of simulation setups to illustrate the asymptotic properties of our test. Moreover the testing procedure is applied on a real-world case: galaxy velocities datasets, where stars heliocentric velocities mixed with the Milky Way are compared.
Document type :
Journal articles
Complete list of metadata

Contributor : Yahia Salhi Connect in order to contact the contributor
Submitted on : Monday, May 9, 2022 - 1:06:16 PM
Last modification on : Wednesday, May 11, 2022 - 3:50:08 AM


Files produced by the author(s)



Xavier Milhaud, Denys Pommeret, Yahia Salhi, Pierre Vandekerkhove. Semiparametric two-sample admixture components comparison test: The symmetric case. Journal of Statistical Planning and Inference, Elsevier, 2022, 216, pp.135-150. ⟨10.1016/j.jspi.2021.05.010⟩. ⟨hal-02491127v2⟩



Record views


Files downloads