Abstract. The subject of this paper is to estimate adaptively the common probability density of n independent, identically distributed random variables. The estimation is done at a xed point x0 2 R, over the density functions that belong to the Sobolev class Wn (;L). We consider the adaptive problem setup, where the regularity parameter is unknown and varies in a given set Bn. A sharp adaptive estimator is obtained, and the explicit asymptotical constant, associated to its rate of convergence is found. Mathematics Subject Classication. 62N01, 62N02, 62G20
International audienceWe investigate the estimation of a weighted density taking the form $g=w(F)f$,...
Abstract. We consider the problem of estimating the density g of identically distributed vari-ables ...
Abstract. We consider the problem of estimating the density g of independent and identically distrib...
The subject of this paper is to estimate adaptively the common probability density of n independent,...
The problem of estimating probability densities on the unit interval whose log-functions belong to a...
The problem of estimating probability densities on the unit interval whose log-functions belong to a...
The problem of estimating probability densities on the unit interval whose log-functions belong to a...
Published at http://dx.doi.org/10.3150/14-BEJ633 in the Bernoulli (http://isi.cbs.nl/bernoulli/) by ...
We study the rate of convergence of posterior distributions in density estimation problems for log-d...
42 pagesInternational audienceIn this paper we consider the problem of estimating $f$, the condition...
We study the rate of convergence of posterior distributions in density estimation problems for log-d...
We study the rate of convergence of posterior distributions in density estimation problems for log-d...
We propose a non-linear density estimator, which is locally adaptive, like wavelet estimators, and p...
International audienceWe investigate the estimation of a weighted density taking the form $g=w(F)f$,...
Les résultats obtenus dans cette thèse concernent l'estimation non paramétrique de densités de proba...
International audienceWe investigate the estimation of a weighted density taking the form $g=w(F)f$,...
Abstract. We consider the problem of estimating the density g of identically distributed vari-ables ...
Abstract. We consider the problem of estimating the density g of independent and identically distrib...
The subject of this paper is to estimate adaptively the common probability density of n independent,...
The problem of estimating probability densities on the unit interval whose log-functions belong to a...
The problem of estimating probability densities on the unit interval whose log-functions belong to a...
The problem of estimating probability densities on the unit interval whose log-functions belong to a...
Published at http://dx.doi.org/10.3150/14-BEJ633 in the Bernoulli (http://isi.cbs.nl/bernoulli/) by ...
We study the rate of convergence of posterior distributions in density estimation problems for log-d...
42 pagesInternational audienceIn this paper we consider the problem of estimating $f$, the condition...
We study the rate of convergence of posterior distributions in density estimation problems for log-d...
We study the rate of convergence of posterior distributions in density estimation problems for log-d...
We propose a non-linear density estimator, which is locally adaptive, like wavelet estimators, and p...
International audienceWe investigate the estimation of a weighted density taking the form $g=w(F)f$,...
Les résultats obtenus dans cette thèse concernent l'estimation non paramétrique de densités de proba...
International audienceWe investigate the estimation of a weighted density taking the form $g=w(F)f$,...
Abstract. We consider the problem of estimating the density g of identically distributed vari-ables ...
Abstract. We consider the problem of estimating the density g of independent and identically distrib...