4 datasets found

Was previously entitled "Compressible priors for high-dimensional statistics"

The aim of this habilitation thesis is to give an overview of my works on high-dimensional statistics and statistical learning, under various sparsity assumptions. In...

Using the Coulomb Fluid method, this paper derives central limit theorems (CLTs) for linear spectral statistics of three ''spiked'' Hermitian random matrix ensembles....

This article investigates a new procedure to estimate the influence of each variable of a given function defined on a high-dimensional space. More precisely, we are...