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On efficient estimators of the proportion of true null hypotheses in a multip...
We consider the problem of estimating the proportion $\theta$ of true null hypotheses in a multiple testing context. The setup is classically modeled through a... -
Minimax adaptive tests for the Functional Linear model
We introduce two novel procedures to test the nullity of the slope function in the functional linear model with real output. The test statistics combine multiple... -
On false discovery rate thresholding for classification under sparsity
International audience -
Nonparametric estimation of the density of the alternative hypothesis in a mu...
In a multiple testing context, we consider a semiparametric mixture model with two components where one component is known and corresponds to the distribution of... -
A general approach to account for dependence in large-scale multiple testing
International audience -
Research strategies for finding genetic interaction phenomena in multifactori...
Recently, Genome-Wide Association Studies (GWAS) have led to the discovery of numerous genetic polymorphisms involved in complex human diseases. However, these... -
Stochastic modelling using large data sets : applications in ecology and gene...
There are two main parts in this thesis. The first one concerns valvometry, which is here the study of the distance between both parts of the shell of an oyster, over... -
A general approach to account for dependence in large-scale multiple testing
International audience -
Occam's hammer: a link between randomized learning and multiple testing FDR c...
International audience -
Testing over a continuum of null hypotheses with False Discovery Rate control
International audience -
Multiple Tests based on a Gaussian Approximation of the Unitary Events method...
The Unitary Events (UE) method is one of the most popular and efficient methods used this last decade to detect patterns of coincident joint spike activity among... -
Semi-parametric mixture models and applications to multiple testing
In a multiple testing context, we consider a semiparametric mixture model with two components. One component is assumed to be known and corresponds to the distribution...
