-
Computational aspects for constructing realizations of polynomial chaos in hi...
International audience -
Construction of probability distributions in high dimension using the maximum...
International audience -
Detecting Outliers in High-Dimensional Neuroimaging Datasets with Robust Cova...
International audience -
Identification of polynomial chaos representations in high dimension from a s...
International audience -
A tight bound for the Delaunay triangulation of points on a polyhedron
International audience -
A general approach to account for dependence in large-scale multiple testing
International audience -
Convergent Stochastic Expectation Maximization algorithm with efficient sampl...
Estimation in the deformable template model is a big challenge in image analysis. The issue is to estimate an atlas of a population. This atlas contains a template and... -
High-dimensional $p$-norms
19 pages -
A general approach to account for dependence in large-scale multiple testing
International audience -
Stability of model selection for high-dimensional data
International audience -
Combinatorial optimization for variable selection in high dimensional regress...
Advances in high-throughput sequencing and genotyping technologies allow to measure large amounts of genomic information. The aim of this work is dedicated to the... -
High-dimensional statistical methods for inter-subject studies in neuroimaging
La variabilité inter-individuelle est un obstacle majeur à l'analyse d'images médicales, en particulier en neuroimagerie. Il convient de distinguer la variabilité...
