207 citations
- Université Toulouse III - Paul SabatierFR36 papers
- Centre National de la Recherche ScientifiqueFR28 papers
- Institut National des Sciences Appliquées de ToulouseFR26 papers
- Toulouse Mathematics Institute20 papers
- Université Fédérale de Toulouse Midi-PyrénéesFR19 papers
- Laboratoire d’Analyse et de Mathématiques AppliquéesFR4 papers
- Laboratoire de Mathématiques Blaise PascalFR3 papers
- Laboratoire de Mathématiques d'OrsayFR3 papers
- École Nationale de l’Aviation CivileFR2 papers
- Institut Camille JordanFR2 papers
- Institut de Mathématiques de Jussieu-Paris Rive GaucheFR2 papers
- Institut de Mathématiques de MarseilleFR2 papers
10 papers · 1 filter
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…
Adaptive density estimation for stationary processes
Matthieu Lerasle
We propose an algorithm to estimate the common density of a stationary process . We suppose that the process is either or -mixing. We provide a model select…
Oracle Inequality for Instrumental Variable Regression
Jean-Michel Loubes, Clément Marteau
We tackle the problem of estimating a regression function observed in an instrumental regression framework. This model is an inverse problem with unknown operator. We provide a spe…
Kernel Inverse Regression for spatial random fields
Jean-Michel Loubes, Anne-Françoise Yao
In this paper, we propose a dimension reduction model for spatially dependent variables. Namely, we investigate an extension of the \emph{inverse regression} method under strong mi…