Spatially relaxed inference on high-dimensional linear models

1 code implementation • 4 Jun 2021 • Jérôme-Alexis Chevalier, Tuan-Binh Nguyen, Bertrand Thirion, Joseph Salmon

This calls for a reformulation of the statistical inference problem, that takes into account the underlying spatial structure: if covariates are locally correlated, it is acceptable to detect them up to a given spatial uncertainty.

Constrained Clustering Vocal Bursts Intensity Prediction

Statistical control for spatio-temporal MEG/EEG source imaging with desparsified multi-task Lasso

1 code implementation • 29 Sep 2020 • Jérôme-Alexis Chevalier, Alexandre Gramfort, Joseph Salmon, Bertrand Thirion

To deal with this, we adapt the desparsified Lasso estimator -- an estimator tailored for high dimensional linear model that asymptotically follows a Gaussian distribution under sparsity and moderate feature correlation assumptions -- to temporal data corrupted with autocorrelated noise.

Constrained Clustering EEG +2

Aggregation of Multiple Knockoffs

2 code implementations • ICML 2020 • Tuan-Binh Nguyen, Jérôme-Alexis Chevalier, Bertrand Thirion, Sylvain Arlot

We develop an extension of the Knockoff Inference procedure, introduced by Barber and Candes (2015).