International audienceMotivated by fluorescence lifetime measurements this paper considers the problem of nonparametric density estimation in the pile-up model. Adaptive nonparametric estimators are proposed for the pile-up model in its simple form as well as in the case of additional measurement errors. Furthermore, oracle type risk bounds for the mean integrated squared error (MISE) are provided. Finally, the estimation methods are assessed by a simulation study and the application to real fluorescence lifetime data
International audienceA density deconvolution problem with unknown distribution of the errors is con...
In this thesis, two methods for recovering underlying lifetime distributions from single photon coun...
International audienceWe investigate the estimation of the $\ell$-fold convolution of the density of...
International audienceMotivated by fluorescence lifetime measurements this paper considers the probl...
Abstract. Motivated by fluorescence lifetime measurements, this paper considers the problem of nonpa...
This thesis studies the so-called pile-up model and proposes adequate estimators. An observation of ...
International audienceA fast and efficient estimation method is proposed that compensates the so-cal...
International audienceThis paper is concerned with the pile-up model defined as a nonlinear transfor...
International audienceSeveral adaptive methods to estimate a density from biased data are pre-sented...
Ce travail présente un nouvel estimateur de la distribution de la durée de vie en fluorescence. Un é...
International audienceWe consider a density estimation problem arising in nuclear physics. Gamma pho...
International audienceThe aim of this paper is to estimate the density f of a random variable X when...
The expectation-maximisation (EM) algorithm uses incomplete data to get the estimation of the probab...
In this paper we consider a statistical estimation problem known as atomic deconvolution. Introduced...
Correcting for measurement error the density of a routinely collected biomedical variable is an impo...
International audienceA density deconvolution problem with unknown distribution of the errors is con...
In this thesis, two methods for recovering underlying lifetime distributions from single photon coun...
International audienceWe investigate the estimation of the $\ell$-fold convolution of the density of...
International audienceMotivated by fluorescence lifetime measurements this paper considers the probl...
Abstract. Motivated by fluorescence lifetime measurements, this paper considers the problem of nonpa...
This thesis studies the so-called pile-up model and proposes adequate estimators. An observation of ...
International audienceA fast and efficient estimation method is proposed that compensates the so-cal...
International audienceThis paper is concerned with the pile-up model defined as a nonlinear transfor...
International audienceSeveral adaptive methods to estimate a density from biased data are pre-sented...
Ce travail présente un nouvel estimateur de la distribution de la durée de vie en fluorescence. Un é...
International audienceWe consider a density estimation problem arising in nuclear physics. Gamma pho...
International audienceThe aim of this paper is to estimate the density f of a random variable X when...
The expectation-maximisation (EM) algorithm uses incomplete data to get the estimation of the probab...
In this paper we consider a statistical estimation problem known as atomic deconvolution. Introduced...
Correcting for measurement error the density of a routinely collected biomedical variable is an impo...
International audienceA density deconvolution problem with unknown distribution of the errors is con...
In this thesis, two methods for recovering underlying lifetime distributions from single photon coun...
International audienceWe investigate the estimation of the $\ell$-fold convolution of the density of...