92 citations · 463 across the 20 of their papers we have counts for
20 papers
False Discovery Proportion control for aggregated Knockoffs
Alexandre Blain, Bertrand Thirion, Olivier Grisel +1
Controlled variable selection is an important analytical step in various scientific fields, such as brain imaging or genomics. In these high-dimensional data settings, considering…
Post-clustering Inference under Dependence
Javier González-Delgado, Mathis Deronzier, Juan Cortés +1
Recent work by Gao et al. (JASA 2022) has laid the foundations for post-clustering inference, establishing a theoretical framework allowing to test for differences between means of…
Selective inference after convex clustering with penalization
François Bachoc, Cathy Maugis-Rabusseau, Pierre Neuvial
Classical inference methods notoriously fail when applied to data-driven test hypotheses or inference targets. Instead, dedicated methodologies are required to obtain statistical g…
FDP control in multivariate linear models using the bootstrap
Samuel Davenport, Bertrand Thirion, Pierre Neuvial
In this article we develop a method for performing post hoc inference of the False Discovery Proportion (FDP) over multiple contrasts of interest in the multivariate linear model.…
Notip: Non-parametric True Discovery Proportion control for brain imaging
Alexandre Blain, Bertrand Thirion, Pierre Neuvial
Cluster-level inference procedures are widely used for brain mapping. These methods compare the size of clusters obtained by thresholding brain maps to an upper bound under the glo…
Two-sample goodness-of-fit tests on the flat torus based on Wasserstein distance and their relevance to structural biology
Javier González-Delgado, Alberto González-Sanz, Juan Cortés +1
This work is motivated by the study of local protein structure, which is defined by two variable dihedral angles that take values from probability distributions on the flat torus.…