296 citations
- Université Paris NanterreFR84 papers
- Centre National de la Recherche ScientifiqueFR15 papers
- Laboratoire de Probabilités et Modèles AléatoiresFR14 papers
- MODAL: MOdel for Data Analysis and LearningFR13 papers
- ESME - École d’ingénieurs pluridisciplinairesFR11 papers
- Centre de Recherche en Économie et StatistiqueFR8 papers
- Laboratoire de Mathématiques d'OrsayFR8 papers
- Laboratoire Traitement et Communication de l’InformationFR8 papers
- Mathématiques Appliquées à Paris 5FR8 papers
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- Université Paris DescartesFR6 papers
- Centre de Mathématiques Appliquées de l'École polytechniqueFR5 papers
7 papers · 1 filter
Minimax optimal estimators for general additive functional estimation
Olivier Collier, Laëtitia Comminges
In this paper, we observe a sparse mean vector through Gaussian noise and we aim at estimating some additive functional of the mean in the minimax sense. More precisely, we general…
A novel regularized approach for functional data clustering: An application to milking kinetics in dairy goats
C. Denis, E. Lebarbier, C. Lévy-Leduc +2
Motivated by an application to the clustering of milking kinetics of dairy goats, we propose in this paper a novel approach for functional data clustering. This issue is of growing…
Log-Hessian and Deviation Bounds for Markov Semi-Groups, and Regularization Effect in
Nathael Gozlan, Xue-Mei Li, Mokshay Madiman +2
It is well known that some important Markov semi-groups have a "regularization effect" -- as for example the hypercontractivity property of the noise operator on the Boolean hyperc…
Nonparametric Estimation of the Trend in Reflected Fractional SDE
Nicolas Marie
This paper deals with the consistency, a rate of convergence and the asymptotic distribution of a nonparametric estimator of the trend in the Skorokhod reflection problem defined b…
Matrix factorization for multivariate time series analysis
Pierre Alquier, Nicolas Marie
Matrix factorization is a powerful data analysis tool. It has been used in multivariate time series analysis, leading to the decomposition of the series in a small set of latent fa…
Maximum Likelihood Estimation of Sparse Networks with Missing Observations
Solenne Gaucher, Olga Klopp
Estimating the matrix of connections probabilities is one of the key questions when studying sparse networks. In this work, we consider networks generated under the sparse graphon…