Robust correlation for aggregated data with spatial characteristics

Détails

Ressource 1Télécharger: 20201118_robustcorr_arXiv_2011.08269.pdf (1335.58 [Ko])
Etat: Public
Version: de l'auteur⸱e
Licence: Non spécifiée
ID Serval
serval:BIB_C88EF602CE84
Type
Autre: (aucun autre type ne convient)
Collection
Publications
Institution
Titre
Robust correlation for aggregated data with spatial characteristics
Auteur⸱e⸱s
Achard Sophie, Coeurjolly Jean-Francois, Micheaux Pierre Lafaye, Richiardi Jonas
Date de publication
2020
Langue
anglais
Résumé
The objective of this paper is to study the robustness of computation of correlations under spatial constraints. The motivation of our paper is the specific case of functional magnetic resonance (fMRI) brain imaging data, where voxels are aggregated to compute correlations. In this paper we show that the way the spatial components are aggregating to com- pute correlation may have a strong influence on the resulting estimations. We then propose various estimators which take into account this spatial structure.
Mots-clé
spatial statistics, correlation, aggregated data, familial correlations, serial correlations
Création de la notice
18/11/2020 9:13
Dernière modification de la notice
05/01/2021 7:10
Données d'usage