8 citations · 11 across the 4 of their papers we have counts for
4 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…
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…
Optimal Regularization Parameters for General-Form Tikhonov Regularization
Julianne Chung, Malena I. Español, Tuan Nguyen
In this work we consider the problem of finding optimal regularization parameters for general-form Tikhonov regularization using training data. We formulate the general-form Tikhon…