21 pagesThe purpose of this paper is to study the problem of estimating a compactly supported density of probability from noisy observations of its moments. In fact, we provide a statistical approach to the famous Hausdorff classical moment problem. We prove an upper bound and a lower bound on the rate of convergence of the mean squared error showing that the considered estimator attains minimax rate over the corresponding smoothness classes
We find the minimax rate of convergence in Hausdorff distance for estimating a manifold M of dimensi...
We consider the problem of estimating an unknown function $f$ in a homoscedastic Gaussian white nois...
This paper is concerned with robust estimation under moment restrictions. A moment restriction model...
One treats the Hausdorff moment problem, the deconvolution on the sphere one and the problem of regr...
Various methods have been proposed to approximate a solution to the truncated Hausdorff moment probl...
A new method for solving the Hausdorff moment problem is presented which makes use of Pollaczek poly...
We find the minimax rate of convergence in Hausdorff distance for estimating a manifold M of dimensi...
International audienceThe paper deals with the problem of nonparametric estimating the Lp-norm, p ∈ ...
International audienceIn this paper we develop rate-optimal estimation procedures in the problem of ...
A general result about the quality of approximation of the mean of a distribution by its empirical e...
International audienceIn nonparametric statistics a classical optimality criterion for estimation pr...
AbstractConsidered here are absolutely continuous probability distributions, concentrated on the int...
Wir untersuchen den Modalwert einer Verteilung, die auf einem Funktionenraum wie etwa dem Raum integ...
The problem of recovering a moment-determinate probability density function (pdf) from its moments i...
In this paper we study the problem of estimating a function from n noiseless observations of functio...
We find the minimax rate of convergence in Hausdorff distance for estimating a manifold M of dimensi...
We consider the problem of estimating an unknown function $f$ in a homoscedastic Gaussian white nois...
This paper is concerned with robust estimation under moment restrictions. A moment restriction model...
One treats the Hausdorff moment problem, the deconvolution on the sphere one and the problem of regr...
Various methods have been proposed to approximate a solution to the truncated Hausdorff moment probl...
A new method for solving the Hausdorff moment problem is presented which makes use of Pollaczek poly...
We find the minimax rate of convergence in Hausdorff distance for estimating a manifold M of dimensi...
International audienceThe paper deals with the problem of nonparametric estimating the Lp-norm, p ∈ ...
International audienceIn this paper we develop rate-optimal estimation procedures in the problem of ...
A general result about the quality of approximation of the mean of a distribution by its empirical e...
International audienceIn nonparametric statistics a classical optimality criterion for estimation pr...
AbstractConsidered here are absolutely continuous probability distributions, concentrated on the int...
Wir untersuchen den Modalwert einer Verteilung, die auf einem Funktionenraum wie etwa dem Raum integ...
The problem of recovering a moment-determinate probability density function (pdf) from its moments i...
In this paper we study the problem of estimating a function from n noiseless observations of functio...
We find the minimax rate of convergence in Hausdorff distance for estimating a manifold M of dimensi...
We consider the problem of estimating an unknown function $f$ in a homoscedastic Gaussian white nois...
This paper is concerned with robust estimation under moment restrictions. A moment restriction model...