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Prediction of individual sequences and prediction in the statistical framewor...
The topics addressed in this thesis lie in statistical machine learning. Our main framework is the prediction of arbitrary deterministic sequences (or individual... -
High-dimension polynomial chaos expansions of effective constitutive equation...
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Variable selection in model-based clustering for high-dimensional data
This thesis deals with variable selection for clustering. This problem has become all the more challenging since the recent increase in high-dimensional data where the... -
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...
