Add to ORKGIn this paper nonparametric wavelet estimators of the quantile density function are proposed. Consisitency of the wavelet estimators is established under the Lp risk. A simulation study is done to compare our estimators to those proposed by our estimators
The problem of estimating a density g based on a sample X-1, X-2, X-n from p = q * g is considered. ...
The problem of estimating a density g based on a sample X-1, X-2, X-n from p = q * g is considered. ...
We investigate the estimation of a weighted density taking the form g = w(F)f, where f denotes an un...
A method of estimation of the derivatives of a probability density using wavelet systems is proposed...
Nonparametric estimation of two dimensional continuous-discrete density function by wavelets with an...
A new methodology for the application of wavelets in non-parametric density estimation is proposed. ...
We develop a wavelet based linear density estimator for the estimation of the probability density fu...
A new methodology for the application of wavelets in non-parametric density estimation is proposed. ...
A new methodology for the application of wavelets in non-parametric density estimation is proposed. ...
International audienceWe investigate the estimation of a weighted density taking the form $g=w(F)f$,...
International audienceWe investigate the estimation of a weighted density taking the form $g=w(F)f$,...
The problem of estimating a density g based on a sample X1, X2, . . . , Xn from p = q * g is conside...
We propose a method of estimation of the derivatives of probability density based wavelets methods f...
The problem of estimating a density g based on a sample X1, X2, . . . , Xn from p = q * g is conside...
The nonparametric estimation of density and regression function based on functional stationary proce...
The problem of estimating a density g based on a sample X-1, X-2, X-n from p = q * g is considered. ...
The problem of estimating a density g based on a sample X-1, X-2, X-n from p = q * g is considered. ...
We investigate the estimation of a weighted density taking the form g = w(F)f, where f denotes an un...
A method of estimation of the derivatives of a probability density using wavelet systems is proposed...
Nonparametric estimation of two dimensional continuous-discrete density function by wavelets with an...
A new methodology for the application of wavelets in non-parametric density estimation is proposed. ...
We develop a wavelet based linear density estimator for the estimation of the probability density fu...
A new methodology for the application of wavelets in non-parametric density estimation is proposed. ...
A new methodology for the application of wavelets in non-parametric density estimation is proposed. ...
International audienceWe investigate the estimation of a weighted density taking the form $g=w(F)f$,...
International audienceWe investigate the estimation of a weighted density taking the form $g=w(F)f$,...
The problem of estimating a density g based on a sample X1, X2, . . . , Xn from p = q * g is conside...
We propose a method of estimation of the derivatives of probability density based wavelets methods f...
The problem of estimating a density g based on a sample X1, X2, . . . , Xn from p = q * g is conside...
The nonparametric estimation of density and regression function based on functional stationary proce...
The problem of estimating a density g based on a sample X-1, X-2, X-n from p = q * g is considered. ...
The problem of estimating a density g based on a sample X-1, X-2, X-n from p = q * g is considered. ...
We investigate the estimation of a weighted density taking the form g = w(F)f, where f denotes an un...