330 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Centre National de la Recherche ScientifiqueFR67 papers
- Mathématiques Appliquées à Paris 5FR54 papers
- Sorbonne Paris CitéFR25 papers
- Université Paris CitéFR17 papers
- Délégation Paris 5FR9 papers
- Laboratoire Psychologie de la PerceptionFR9 papers
- Sorbonne UniversitéFR9 papers
- Université Paris DiderotFR9 papers
- InsermFR8 papers
- Université Pierre-et-Marie-CurieFR8 papers
- École Normale Supérieure - PSLFR7 papers
- Université Paris NanterreFR7 papers
6 papers · 1 filter
Bandwidth Selection for the Wolverton-Wagner Estimator
Fabienne Comte, Nicolas Marie
For independent random variables having the same Hölder continuous density, this paper deals with controls of the Wolverton-Wagner's estimator MSE and MISE. Then, for a bandwid…
Inferring large graphs using l1-penalized likelihood
Magali Champion, Victor Picheny, Matthieu Vignes
We address the issue of recovering the structure of large sparse directed acyclic graphs from noisy observations of the system. We propose a novel procedure based on a specific for…
Adaptive functional linear regression
Fabienne Comte, Jan Johannes
We consider the estimation of the slope function in functional linear regression, where scalar responses are modeled in dependence of random functions. Cardot and Johannes [J. Mult…
Semiparametric inference for the recurrent event process by means of a single-index model
Olivier Bouaziz, Ségolen Geffray, Olivier Lopez
In this paper, we introduce new parametric and semiparametric regression techniques for a recurrent event process subject to random right censoring. We develop models for the cumul…
Adaptive density deconvolution with dependent inputs
Fabienne Comte, Jérôme Dedecker, Marie-Luce Taupin
In the convolution model , we give a model selection procedure to estimate the density of the unobserved variables , when the sequence $…
New -estimators in semi-parametric regression with errors in variables
Cristina Butucea, Marie-Luce Taupin
In the regression model with errors in variables, we observe i.i.d. copies of satisfying and involving independent and unobserved random variab…