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- Yannick Baraud, Christophe Giraud, Sylvie Huet
- 2007

Let Y be a Gaussian vector whose components are independent with a common unknown variance. We consider the problem of estimating the mean µ of Y by model selection. More precisely, we start with a collection S = {Sm, m ∈ M} of linear subspaces of R n and associate to each of these the least-squares estimator of µ on Sm. Then, we use a data driven penalized… (More)

- Sylvie Huet, Guillaume Deffuant, Wander Jager
- Advances in Complex Systems
- 2008

This paper explores the dynamics of attitude change in 2 dimensions (2D) as a result of social interaction. We add a rejection mechanism into the 2D bounded confidence (BC) model proposed by Deffuant et al (2001). Individuals are characterised by two-dimensional continuous attitudes, each associated with an uncertainty u, supposed constant in this first… (More)

- Christophe Giraud, Sylvie Huet, Nicolas Verzelen
- Statistical applications in genetics and…
- 2012

Applications on inference of biological networks have raised a strong interest in the problem of graph estimation in high-dimensional Gaussian graphical models. To handle this problem, we propose a two-stage procedure which first builds a family of candidate graphs from the data, and then selects one graph among this family according to a dedicated… (More)

- Yannick Baraud, Christophe Giraud, Sylvie Huet
- 2007

Let Y be a Gaussian vector whose components are independent with a common unknown variance. We consider the problem of estimating the mean µ of Y by model selection. More precisely, we start with a collection S = {Sm, m ∈ M} of linear subspaces of R n and associate to each of these the least-squares estimator of µ on Sm. Then, we use a data driven penalized… (More)

- Margaret Edwards, Sylvie Huet, François Goreaud, Guillaume Deffuant
- J. Artificial Societies and Social Simulation
- 2003

- Fanny Villers, Brigitte Schaeffer, Caroline Bertin, Sylvie Huet
- Statistical applications in genetics and…
- 2008

The study of the interactions of cellular components is an essential base step to understand the structure and dynamics of biological networks. Various methods were recently developed for this purpose. While most of them combine different types of data and a priori knowledge, methods based on graphical Gaussian models are capable of learning the network… (More)

- Laurent Dobremez, Georges Amon, Jean-Paul Bousset, Jérôme Henriot, Jean-Bernard Marsat, Guillaume Deffuant +12 others
- 2000

- Jean-François Chich, Olivier David, Fanny Villers, Brigitte Schaeffer, Didier Lutomski, Sylvie Huet
- Journal of chromatography. B, Analytical…
- 2007

Proteomics relies on the separation of complex protein mixtures using bidimensional electrophoresis. This approach is largely used to detect the expression variations of proteins prepared from two or more samples. Recently, attention was drawn on the reliability of the results published in literature. Among the critical points identified were experimental… (More)

- Yannick Baraud, Sylvie Huet, Béatrice Laurent
- 2005

In this paper we propose a general methodology, based on multiple testing, for testing that the mean of a Gaussian vector in R n belongs to a convex set. We show that the test achieves its nominal level, and characterize a class of vectors over which the tests achieve a prescribed power. In the functional regression model this general methodology is applied… (More)

Bootstrap methods in curve estimation have been introduced for smoothing parameter selection and for construction of conndence intervals. Most of the papers on conndence intervals use explicit bias estimation or the technique of \undersmoothing" to deal with bias. Coverage accuracy has only been considered for curve estimates with constant variance… (More)