161 citations · 241 across the 8 of their papers we have counts for
10 papers
Study of inter-individual variability of three-dimensional data table: detection of unstable variables and samples
Loic Labache, Marc Joliot, Gaelle E. Doucet +1
We propose two methodologies in order to better understand the inter-individual variability of resting-state functional Magnetic Resonance Imaging (fMRI) brain data. The aim of the…
Supervised Learning for Multi-Block Incomplete Data
Hadrien Lorenzo, Jérôme Saracco, Rodolphe Thiébaut
In the supervised high dimensional settings with a large number of variables and a low number of individuals, one objective is to select the relevant variables and thus to reduce t…
ClustGeo: an R package for hierarchical clustering with spatial constraints
Marie Chavent, Vanessa Kuentz-Simonet, Amaury Labenne +1
In this paper, we propose a Ward-like hierarchical clustering algorithm including spatial/geographical constraints. Two dissimilarity matrices and are inputted, along w…
Combining clustering of variables and feature selection using random forests
Marie Chavent, Robin Genuer, Jerome Saracco
Standard approaches to tackle high-dimensional supervised classification problem often include variable selection and dimension reduction procedures. The novel methodology proposed…
Multivariate Analysis of Mixed Data: The R Package PCAmixdata
Marie Chavent, Vanessa Kuentz-Simonet, Amaury Labenne +1
Mixed data arise when observations are described by a mixture of numerical and categorical variables. The R package PCAmixdata extends to this type of data standard multivariate an…
Conditional quantile estimation through optimal quantization
Isabelle Charlier, Davy Paindaveine, Jérôme Saracco
In this paper, we use quantization to construct a nonparametric estimator of conditional quantiles of a scalar response given a d-dimensional vector of covariates . First we…
Hidden Markov Model for the detection of a degraded operating mode of optronic equipment
Camille Baysse, Didier Bihannic, Anne Gégout-Petit +2
As part of optimizing the reliability, Thales Optronics now includes systems that examine the state of its equipment. The aim of this paper is to use hidden Markov Model to detect…
On the asymptotic behavior of the Nadaraya-Watson estimator associated with the recursive SIR method
Bernard Bercu, Thi Mong Ngoc Nguyen, Jerome Saracco
We investigate the asymptotic behavior of the Nadaraya-Watson estimator for the estimation of the regression function in a semiparametric regression model. On the one hand, we make…
Orthogonal rotation in PCAMIX
M. Chavent, K. Vanessa, J. Saracco
Kiers (1991) considered the orthogonal rotation in PCAMIX, a principal component method for a mixture of qualitative and quantitative variables. PCAMIX includes the ordinary princi…
On central tendency and dispersion measures for intervals and hypercubes
Marie Chavent, Jérôme Saracco
The uncertainty or the variability of the data may be treated by considering, rather than a single value for each data, the interval of values in which it may fall. This paper stud…