Add to ORKGInternational audienceThis note presents rates of convergence for the pointwise mean squared error in the deconvolution problem with estimated characteristic function of the errors
Deconvolution is a useful statistical technique for recovering an unknown density in the presence of...
on muerve if neceiiary and identify by block number) L.D IGROUP SuB. G. deconvolution, density estim...
The authors consider the problem of estimating the density $g$ of independent and identically distri...
This note presents rates of convergence for the pointwise mean squared error in the deconvolution pr...
International audienceA density deconvolution problem with unknown distribution of the errors is con...
International audienceWe consider deconvolution from repeated observations with unknown error distri...
International audienceWe study the following model of deconvolution $Y=X+\varepsilon$ with i.i.d. ob...
It is quite common in the statistical literature on nonparametric deconvolution to assume that the e...
We estimate the distribution of a real-valued random variable from contaminated observations. The ad...
International audienceWe investigate the estimation of the $\ell$-fold convolution of the density of...
This Note presents original rates of convergence for the deconvolution problem. We assume that both ...
Quantile estimation in deconvolution problems is studied comprehensively. In particular, the more re...
International audienceIn this paper we consider the convolution model Z = X + Y with X of unknown de...
AbstractWe devise a new method of estimating a distribution in a deconvolution model with panel data...
Let X1, . . . ,Xn be i.i.d. copies of a random variable X = Y + Z, where Xi = Yi + Zi, and Yi and Zi...
Deconvolution is a useful statistical technique for recovering an unknown density in the presence of...
on muerve if neceiiary and identify by block number) L.D IGROUP SuB. G. deconvolution, density estim...
The authors consider the problem of estimating the density $g$ of independent and identically distri...
This note presents rates of convergence for the pointwise mean squared error in the deconvolution pr...
International audienceA density deconvolution problem with unknown distribution of the errors is con...
International audienceWe consider deconvolution from repeated observations with unknown error distri...
International audienceWe study the following model of deconvolution $Y=X+\varepsilon$ with i.i.d. ob...
It is quite common in the statistical literature on nonparametric deconvolution to assume that the e...
We estimate the distribution of a real-valued random variable from contaminated observations. The ad...
International audienceWe investigate the estimation of the $\ell$-fold convolution of the density of...
This Note presents original rates of convergence for the deconvolution problem. We assume that both ...
Quantile estimation in deconvolution problems is studied comprehensively. In particular, the more re...
International audienceIn this paper we consider the convolution model Z = X + Y with X of unknown de...
AbstractWe devise a new method of estimating a distribution in a deconvolution model with panel data...
Let X1, . . . ,Xn be i.i.d. copies of a random variable X = Y + Z, where Xi = Yi + Zi, and Yi and Zi...
Deconvolution is a useful statistical technique for recovering an unknown density in the presence of...
on muerve if neceiiary and identify by block number) L.D IGROUP SuB. G. deconvolution, density estim...
The authors consider the problem of estimating the density $g$ of independent and identically distri...