-
Phenotypic prediction based on metabolomic data on the growing pig from three...
"Chantier qualité spécifique "Auteurs Externes" département de Génétique animale : uniquement liaison auteur au référentiel HR-Access " -
Minimax testing of a composite null hypothesis defined via a quadratic functi...
International audience -
The Brouwer Lecture 2005: Statistical estimation with model selection
The purpose of this paper is to explain the interest and importance of (approximate) models and model selection in Statistics. Starting from the very elementary... -
Stable variable selection for right censored data: comparison of methods
nombre de pages : 29 nombre de tableaux : 2 nombre de figures : 9 -
Tight conditions for consistency of variable selection in the context of high...
International audience -
BIC selection procedures in mixed effects models
Ce rapport est disponible dans : Rapports de Recherche. INRIA -
FMRI Analysis of Cocaine Addiction Using K-Support Sparsity
International audience -
Model selection: a decision-theoretic approach
This manuscript addresses the problem of model selection, studied in the linear regression framework. The objective is to determine the best predictive model based on... -
Item-based variable construction in multi-relational supervised learning
International audience -
Methods for large volume image analysis Applied to Early detection of Alzheim...
In this thesis we want to explore novel image analysis methods for the early detection of metabolic changes in the human brain caused by Alzheimer's disease (AD). We... -
AIC, Cp and estimators of loss for elliptically symmetric distributions
In this article, we develop a modern perspective on Akaike's information criterion and Mallows's Cp for model selection, and propose generalisations to spherically and... -
Electronic nose and tongue combination for improved classification of Morocca...
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... -
Randomized pick-freeze for sparse Sobol indices estimation in high dimension
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... -
A note on BIC in mixed-effects models
International audience
