Add to ORKGSuppose we have i.i.d. observations with a distribution equal to the convolution of an unknown distribution function F and a known distribution function K. We derive local minimax lower bounds for the problem of estimating F , its density f and its derivatives at a fixed point x 0 . Contrary to a previous local minimax bound in Van Es (1998) only smooth perturbations are considered. The local bounds imply global minimax lower bounds, including the constant. Thus existing global results are sharpened
The present paper considers the problem of estimating a linear functional φ = ∫∞ -∞ φ(x)f (x)dx of a...
The problem of the nonparametric minimax estimation of an infinitely smooth density at a given point...
The problem of the nonparametric minimax estimation of an infinitely smooth density at a given point...
We consider the problem of the nonparametric minimax estimation of a multivariate density at a given...
The nonparametric minimax estimation of an analytic density at a given point under random censorshi...
We consider the problem of the nonparametric minimax estimation of a multivariate density at a given...
We consider the problem of the nonparametric minimax estimation of a multivariate density at a given...
The nonparametric minimax estimation of an analytic density at a given point, under random censorshi...
International audienceThe subject of this paper is the problem of nonparametric estimation of a cont...
International audienceThe paper deals with the problem of nonparametric estimating the Lp-norm, p ∈ ...
The problem of the nonparametric minimax estimation of an innitely smooth density at a given point, ...
The problem of the nonparametric minimax estimation of an innitely smooth density at a given point, ...
This thesis deals with minimax rates of convergence for estimation of density functions on the real ...
This book gives an introduction to deconvolution problems in nonparametric statistics, e.g. density ...
The problem of the nonparametric minimax estimation of an infinitely smooth density at a given point...
The present paper considers the problem of estimating a linear functional φ = ∫∞ -∞ φ(x)f (x)dx of a...
The problem of the nonparametric minimax estimation of an infinitely smooth density at a given point...
The problem of the nonparametric minimax estimation of an infinitely smooth density at a given point...
We consider the problem of the nonparametric minimax estimation of a multivariate density at a given...
The nonparametric minimax estimation of an analytic density at a given point under random censorshi...
We consider the problem of the nonparametric minimax estimation of a multivariate density at a given...
We consider the problem of the nonparametric minimax estimation of a multivariate density at a given...
The nonparametric minimax estimation of an analytic density at a given point, under random censorshi...
International audienceThe subject of this paper is the problem of nonparametric estimation of a cont...
International audienceThe paper deals with the problem of nonparametric estimating the Lp-norm, p ∈ ...
The problem of the nonparametric minimax estimation of an innitely smooth density at a given point, ...
The problem of the nonparametric minimax estimation of an innitely smooth density at a given point, ...
This thesis deals with minimax rates of convergence for estimation of density functions on the real ...
This book gives an introduction to deconvolution problems in nonparametric statistics, e.g. density ...
The problem of the nonparametric minimax estimation of an infinitely smooth density at a given point...
The present paper considers the problem of estimating a linear functional φ = ∫∞ -∞ φ(x)f (x)dx of a...
The problem of the nonparametric minimax estimation of an infinitely smooth density at a given point...
The problem of the nonparametric minimax estimation of an infinitely smooth density at a given point...