5 papers
Spatially relaxed inference on high-dimensional linear models
Jérôme-Alexis Chevalier, Tuan-Binh Nguyen, Bertrand Thirion +1
We consider the inference problem for high-dimensional linear models, when covariates have an underlying spatial organization reflected in their correlation. A typical example of s…
Statistical control for spatio-temporal MEG/EEG source imaging with desparsified multi-task Lasso
Jérôme-Alexis Chevalier, Alexandre Gramfort, Joseph Salmon +1
Detecting where and when brain regions activate in a cognitive task or in a given clinical condition is the promise of non-invasive techniques like magnetoencephalography (MEG) or…
Aggregation of Multiple Knockoffs
Tuan-Binh Nguyen, Jérôme-Alexis Chevalier, Bertrand Thirion +1
We develop an extension of the Knockoff Inference procedure, introduced by Barber and Candes (2015). This new method, called Aggregation of Multiple Knockoffs (AKO), addresses the…
ECKO: Ensemble of Clustered Knockoffs for multivariate inference on fMRI data
Tuan-Binh Nguyen, Jérôme-Alexis Chevalier, Bertrand Thirion
Continuous improvement in medical imaging techniques allows the acquisition of higher-resolution images. When these are used in a predictive setting, a greater number of explanator…
Statistical Inference with Ensemble of Clustered Desparsified Lasso
Jérôme-Alexis Chevalier, Joseph Salmon, Bertrand Thirion
Medical imaging involves high-dimensional data, yet their acquisition is obtained for limited samples. Multivariate predictive models have become popular in the last decades to fit…