68 citations · 348 across the 34 of their papers we have counts for
22 papers · 1 filter
Confidence envelopes for the false discoveries with heterogeneous data
Romain Périer, Gilles Blanchard, Sebastian Döhler +2
In the context of selective inference, confidence envelopes for the false discoveries allow the user to select any subset of null hypotheses while having a statistical guarantee on…
False discovery proportion envelopes with m-consistency
Iqraa Meah, Gilles Blanchard, Etienne Roquain
We provide new non-asymptotic false discovery proportion (FDP) confidence envelopes in several multiple testing settings relevant for modern high dimensional-data methods. We revis…
False membership rate control in mixture models
Ariane Marandon, Tabea Rebafka, Etienne Roquain +1
The clustering task consists in partitioning elements of a sample into homogeneous groups. Most datasets contain individuals that are ambiguous and intrinsically difficult to attri…
Sharp multiple testing boundary for sparse sequences
Kweku Abraham, Ismael Castillo, Etienne Roquain
This work investigates multiple testing by considering minimax separation rates in the sparse sequence model, when the testing risk is measured as the sum FDR+FNR (False Discovery…
Semi-supervised multiple testing
David Mary, Etienne Roquain
An important limitation of standard multiple testing procedures is that the null distribution should be known. Here, we consider a null distribution-free approach for multiple test…
Empirical Bayes cumulative -value multiple testing procedure for sparse sequences
Kweku Abraham, Ismael Castillo, Etienne Roquain
In the sparse sequence model, we consider a popular Bayesian multiple testing procedure and investigate for the first time its behaviour from the frequentist point of view. Given a…