12 pagesWe consider a density estimation problem with a change-point. We develop an adaptive wavelet estimator constructed from a block thresholding rule. Adopting the minimax point of view under the Lp risk (with p>1) over Besov balls, we prove that it is near optimal
International audienceWe study the maxiset performance of a large collection of block thresholding w...
We propose and implement a density estimation procedure which begins by turning density estimation i...
We study the performances of an adaptive procedure based on a convex combination, with data-driven w...
19 pages.We consider the density estimation problem from i.i.d. biased observations. We investigate ...
19 pages.We consider the density estimation problem from i.i.d. biased observations. We investigate ...
AbstractWe consider wavelet block thresholding method for density estimation. A block-thresholded de...
Abstract: We investigate the asymptotic minimax properties of an adaptive wavelet block thresholding...
Density estimation is a commonly used test case for non-parametric estimation methods. We explore th...
We propose and implement a density estimation procedure which begins by turning density estimation i...
AbstractWe consider wavelet block thresholding method for density estimation. A block-thresholded de...
For density estimation and nonparametric regression, block thresholding is very adaptive and efficie...
17 pagesIn this paper, the problem of adaptive estimation of a mean pattern in a randomly shifted cu...
17 pagesIn this paper, the problem of adaptive estimation of a mean pattern in a randomly shifted cu...
We investigate the estimation of a weighted density taking the form g = w(F)f, where f denotes an un...
International audienceWe consider a heteroscedastic convolution density model under the "ordinary sm...
International audienceWe study the maxiset performance of a large collection of block thresholding w...
We propose and implement a density estimation procedure which begins by turning density estimation i...
We study the performances of an adaptive procedure based on a convex combination, with data-driven w...
19 pages.We consider the density estimation problem from i.i.d. biased observations. We investigate ...
19 pages.We consider the density estimation problem from i.i.d. biased observations. We investigate ...
AbstractWe consider wavelet block thresholding method for density estimation. A block-thresholded de...
Abstract: We investigate the asymptotic minimax properties of an adaptive wavelet block thresholding...
Density estimation is a commonly used test case for non-parametric estimation methods. We explore th...
We propose and implement a density estimation procedure which begins by turning density estimation i...
AbstractWe consider wavelet block thresholding method for density estimation. A block-thresholded de...
For density estimation and nonparametric regression, block thresholding is very adaptive and efficie...
17 pagesIn this paper, the problem of adaptive estimation of a mean pattern in a randomly shifted cu...
17 pagesIn this paper, the problem of adaptive estimation of a mean pattern in a randomly shifted cu...
We investigate the estimation of a weighted density taking the form g = w(F)f, where f denotes an un...
International audienceWe consider a heteroscedastic convolution density model under the "ordinary sm...
International audienceWe study the maxiset performance of a large collection of block thresholding w...
We propose and implement a density estimation procedure which begins by turning density estimation i...
We study the performances of an adaptive procedure based on a convex combination, with data-driven w...