Multivariate data are often treated with regression methods on one hand, Geometric Data Analyse methods (PCA, AC…) on the other hand. We intend to show, thanks to the mathematical structures common to the two methods, illustrated by examples, how one can integrate regression methods in geometric analysis. Geometric analysis allows a visualization of structural effects. There is no ground to oppose “explanatory” and “descriptive” statistical methods.Les données multivariées sont souvent traitées par les méthodes de régression d'une part, l'Analyse Géométrique des Données (ACP, AC...) d'autre part. Nous nous proposons de montrer sur des exemples, à partir de la communauté des structures mathématiques, comment on peut intégrer les...
In this thesis, we study the problem of dimension reduction through the following regression model Y...
Nous proposons des tests et régions de confiance exacts pour des modèles comportant des variables in...
This PhD thesis deals with the following statistical problems: Variable selection in high-Dimensiona...
Multivariate data are often treated with regression methods on one hand, Geometric Data Analyse me...
The linear analysis of the regression, called also more simply linear regression, is one of the most...
The purpose of this paper is to study the model belongs to the family of structural equation models ...
We have developed nonlinear homogenization methods capable of delivering estimates not only for the ...
Un outil informatique utilisant la géométrie morphométrique est testé sur la forme des équidés de di...
This thesis presents the use of sequential and variational methods for tracking applications in imag...
System identification is a term gathering tools that identify mathematical models from observations....
Satellite data assimilation methods are investigated. There are mainly two kinds of technics: the se...
The main objective of this paper is to summarize development concerning structural analysis of engin...
http://thema.univ-fcomte.fr/theoq/International audienceThe paper deals with the identification of t...
This thesis takes place within the theories of nonasymptotic statistics and model selection. Its goa...
This thesis presents various problems of adaptive functional estimation, using projection and kernel...
In this thesis, we study the problem of dimension reduction through the following regression model Y...
Nous proposons des tests et régions de confiance exacts pour des modèles comportant des variables in...
This PhD thesis deals with the following statistical problems: Variable selection in high-Dimensiona...
Multivariate data are often treated with regression methods on one hand, Geometric Data Analyse me...
The linear analysis of the regression, called also more simply linear regression, is one of the most...
The purpose of this paper is to study the model belongs to the family of structural equation models ...
We have developed nonlinear homogenization methods capable of delivering estimates not only for the ...
Un outil informatique utilisant la géométrie morphométrique est testé sur la forme des équidés de di...
This thesis presents the use of sequential and variational methods for tracking applications in imag...
System identification is a term gathering tools that identify mathematical models from observations....
Satellite data assimilation methods are investigated. There are mainly two kinds of technics: the se...
The main objective of this paper is to summarize development concerning structural analysis of engin...
http://thema.univ-fcomte.fr/theoq/International audienceThe paper deals with the identification of t...
This thesis takes place within the theories of nonasymptotic statistics and model selection. Its goa...
This thesis presents various problems of adaptive functional estimation, using projection and kernel...
In this thesis, we study the problem of dimension reduction through the following regression model Y...
Nous proposons des tests et régions de confiance exacts pour des modèles comportant des variables in...
This PhD thesis deals with the following statistical problems: Variable selection in high-Dimensiona...