We provide new false discovery proportion (FDP) confidence envelopes in
...
Classical false discovery rate (FDR) controlling procedures offer strong...
The clustering task consists in delivering labels to the members of a sa...
Valid online inference is an important problem in contemporary multiple
...
This work investigates multiple testing from the point of view of minima...
An important limitation of standard multiple testing procedures is that ...
We address the multiple testing problem under the assumption that the
tr...
In the sparse sequence model, we consider a popular Bayesian multiple te...
Several classical methods exist for controlling the false discovery
exce...
When performing multiple testing, adjusting the distribution of the null...
When performing multiple testing, adjusting the distribution of the null...
This document is a book chapter which gives a partial survey on post hoc...
In this paper, a noisy version of the stochastic block model (NSBM) is
i...
The simultaneous analysis of many statistical tests is ubiquitous in
app...
We introduce one-sided versions of Huber's contamination model, in which...
This paper explores a connection between empirical Bayes posterior
distr...
In a high dimensional multiple testing framework, we present new confide...