222 citations
- Université Paris 1 Panthéon-SorbonneFR28 papers
- Centre National de la Recherche ScientifiqueFR15 papers
- Laboratoire de Statistique Théorique et AppliquéeFR13 papers
- Sorbonne UniversitéFR10 papers
- Laboratoire de Probabilités et Modèles AléatoiresFR8 papers
- Université Paris CitéFR7 papers
- CEPN - Centre d'Economie de l'Université Paris Nord6 papers
- Laboratoire de Probabilités, Statistique et ModélisationFR6 papers
- Paris School of EconomicsFR6 papers
- Cole Engineering Services (United States)US4 papers
- Université Sorbonne Paris NordFR4 papers
- CEPNFR3 papers
4 papers · 2 filters
Estimating the Number of Components in a Mixture of Multilayer Perceptrons
Madalina Olteanu, Joseph Rynkiewicz
BIC criterion is widely used by the neural-network community for model selection tasks, although its convergence properties are not always theoretically established. In this paper…
Consistent estimation of the architecture of multilayer perceptrons
Joseph Rynkiewicz
We consider regression models involving multilayer perceptrons (MLP) with one hidden layer and a Gaussian noise. The estimation of the parameters of the MLP can be done by maximizi…
Estimation non-paramétrique de la densité spectrale d'un processus gaussien échantillonné aléatoirement
Jean-Marc Bardet, Pierre Bertrand, Véronique Billat
From a wavelet analysis, one derives a nonparametrical estimator for the spectral density of a Gaussian process with stationary increments. First, the idealistic case of a continuo…
Spatial modelling for mixed-state observations
Cécile Hardouin, Jian-Feng Yao
In several application fields like daily pluviometry data modelling, or motion analysis from image sequences, observations contain two components of different nature. A first part…