Add to ORKGWe consider the Gaussian White Noise Model and we study the estimation of a function f in the uniform norm assuming that f belongs to a Hölder anisotropic class. We give the minimax rate of convergence over this class and we determine the minimax exact constant and an asymptoticall
We consider the problem of Bayes estimation of a linear functional of the signal in the Gaussian whi...
We consider the problem of Bayes estimation of a linear functional of the signal in the Gaussian whi...
In the problem of signal detection in Gaussian white noise we show asymptotic minimaxity of kernel-b...
We consider the Gaussian White Noise Model and we study the estimation of a function f in the unifor...
Estimation of the signal function dened on the unit sphere of the Euclidean space is considered Gau...
Estimation of the signal function defined on the unit sphere of the Euclidean space is considered. G...
Birgé Lucien, Hardle Wolfgang, Lepski Oleg, Picard Dominique, Wellner JonWe study two statistics mod...
Birgé Lucien, Hardle Wolfgang, Lepski Oleg, Picard Dominique, Wellner JonWe study two statistics mod...
We are interested in testing nonparametric hypotheses when the model of observation is given by the ...
Some sufficient conditions to establish the rate of convergence of certain M-estimators in a Gaussia...
Some sufficient conditions to establish the rate of convergence of certain M-estimators in a Gaussia...
Linear estimation of f(x) at a point in a white noise model is considered. The exact linear minimax ...
We consider the problem of Bayes estimation of a linear functional of the signal in the Gaussian whi...
We consider the problem of Bayes estimation of a linear functional of the signal in the Gaussian whi...
We consider the problem of Bayes estimation of a linear functional of the signal in the Gaussian whi...
We consider the problem of Bayes estimation of a linear functional of the signal in the Gaussian whi...
We consider the problem of Bayes estimation of a linear functional of the signal in the Gaussian whi...
In the problem of signal detection in Gaussian white noise we show asymptotic minimaxity of kernel-b...
We consider the Gaussian White Noise Model and we study the estimation of a function f in the unifor...
Estimation of the signal function dened on the unit sphere of the Euclidean space is considered Gau...
Estimation of the signal function defined on the unit sphere of the Euclidean space is considered. G...
Birgé Lucien, Hardle Wolfgang, Lepski Oleg, Picard Dominique, Wellner JonWe study two statistics mod...
Birgé Lucien, Hardle Wolfgang, Lepski Oleg, Picard Dominique, Wellner JonWe study two statistics mod...
We are interested in testing nonparametric hypotheses when the model of observation is given by the ...
Some sufficient conditions to establish the rate of convergence of certain M-estimators in a Gaussia...
Some sufficient conditions to establish the rate of convergence of certain M-estimators in a Gaussia...
Linear estimation of f(x) at a point in a white noise model is considered. The exact linear minimax ...
We consider the problem of Bayes estimation of a linear functional of the signal in the Gaussian whi...
We consider the problem of Bayes estimation of a linear functional of the signal in the Gaussian whi...
We consider the problem of Bayes estimation of a linear functional of the signal in the Gaussian whi...
We consider the problem of Bayes estimation of a linear functional of the signal in the Gaussian whi...
We consider the problem of Bayes estimation of a linear functional of the signal in the Gaussian whi...
In the problem of signal detection in Gaussian white noise we show asymptotic minimaxity of kernel-b...