Robust correlation for aggregated data with spatial characteristics

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serval:BIB_C88EF602CE84
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Title
Robust correlation for aggregated data with spatial characteristics
Author(s)
Achard Sophie, Coeurjolly Jean-Francois, Micheaux Pierre Lafaye, Richiardi Jonas
Issued date
2020
Language
english
Abstract
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.
Keywords
spatial statistics, correlation, aggregated data, familial correlations, serial correlations
Create date
18/11/2020 9:13
Last modification date
05/01/2021 7:10
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