1k citations
- Université Toulouse III - Paul SabatierFR936 papers
- Centre National de la Recherche ScientifiqueFR543 papers
- Institut National des Sciences Appliquées de ToulouseFR543 papers
- Université de ToulouseFR306 papers
- Toulouse Mathematics Institute172 papers
- Université Fédérale de Toulouse Midi-PyrénéesFR155 papers
- Institut Universitaire de FranceFR37 papers
- Institut national de recherche en sciences et technologies du numériqueFR35 papers
- Laboratoire de Mathématiques d'OrsayFR34 papers
- Institut de Mathématiques de BordeauxFR31 papers
- Institut de Mathématiques de Jussieu-Paris Rive GaucheFR27 papers
- Laboratoire d'Analyse et d'Architecture des SystèmesFR27 papers
7 papers · 2 filters
Distribution's template estimate with Wasserstein metrics
Emmanuel Boissard, Thibaut Le Gouic, Jean-Michel Loubes
In this paper we tackle the problem of comparing distributions of random variables and defining a mean pattern between a sample of random events. Using barycenters of measures in t…
Efficient estimation of conditional covariance matrices for dimension reduction
Sébastien Da Veiga, Jean-Michel Loubes, Maikol Solís
Let and . In this paper we propose an estimator of the conditional covariance matrix, $\mathrm{Cov}(\mathbb{E}[\boldsymbol{X}\vert…
Necessary and sufficient condition for the existence of a Fréchet mean on the circle
Benjamin Charlier
Let be the unit circle in endowed with the arclength distance. We give a sufficient and necessary condition for a general probability measure to admit a…
Intensity estimation of non-homogeneous Poisson processes from shifted trajectories
Jérémie Bigot, Sébastien Gadat, Thierry Klein +1
This paper considers the problem of adaptive estimation of a non-homogeneous intensity function from the observation of n independent Poisson processes having a common intensity th…
A Threshold Regularization Method for Inverse Problems
Paul Rochet
A number of regularization methods for discrete inverse problems consist in considering weighted versions of the usual least square solution. However, these so-called filter method…
Consistency of functional learning methods based on derivatives
Fabrice Rossi, Nathalie Villa-Vialaneix
In some real world applications, such as spectrometry, functional models achieve better predictive performances if they work on the derivatives of order m of their inputs rather th…