One can slightly modify the usual Lp differentiability constraints of Sobolev types on densities with the help of Besov norms. This has the advantage, using the wavelets characterization of Besov spaces, to reduce the question of density estimation with Besov constraints to a problem in a sequences space, leading to very natural proofs. In this framework, we obtain the usual rate of minimax convergence and study the behaviour of a wavelet estimator.Density estimation Sobolev spaces Besov norms
In this thesis we investigate the connection between non-separable wavelet bases and Besov spaces. T...
AbstractThe almost everywhere convergence of wavelet series is important in wavelet analysis [S. Kel...
19 pages.We consider the density estimation problem from i.i.d. biased observations. We investigate ...
This paper is showing that the saturation space of the minimax rate associated to a Lp loss and line...
For density estimation and nonparametric regression, block thresholding is very adaptive and efficie...
Density estimation is a commonly used test case for non-parametric estimation methods. We explore th...
We study the problem of density estimation on $[0,1]$ under $\mathbb{L}^p$ norm. We carry out a new ...
There are many ways to characterize Besov spaces. Among them in the discrete version are regular wav...
Abstract The mixed continuous-discrete density model plays an important role in reliability, finance...
International audienceWe consider the problem of estimating the density of observations taking value...
AbstractWe consider wavelet block thresholding method for density estimation. A block-thresholded de...
We announce new conditions for uniform pointwise convergence rates of wavelet expansions in Besov an...
• We consider the problem of estimating a density and its derivatives for a sample of multiplicative...
Motivated by Lounici and Nickl's work (2011), this paper considers the problem of estimation of a de...
12 pagesWe consider a density estimation problem with a change-point. We develop an adaptive wavelet...
In this thesis we investigate the connection between non-separable wavelet bases and Besov spaces. T...
AbstractThe almost everywhere convergence of wavelet series is important in wavelet analysis [S. Kel...
19 pages.We consider the density estimation problem from i.i.d. biased observations. We investigate ...
This paper is showing that the saturation space of the minimax rate associated to a Lp loss and line...
For density estimation and nonparametric regression, block thresholding is very adaptive and efficie...
Density estimation is a commonly used test case for non-parametric estimation methods. We explore th...
We study the problem of density estimation on $[0,1]$ under $\mathbb{L}^p$ norm. We carry out a new ...
There are many ways to characterize Besov spaces. Among them in the discrete version are regular wav...
Abstract The mixed continuous-discrete density model plays an important role in reliability, finance...
International audienceWe consider the problem of estimating the density of observations taking value...
AbstractWe consider wavelet block thresholding method for density estimation. A block-thresholded de...
We announce new conditions for uniform pointwise convergence rates of wavelet expansions in Besov an...
• We consider the problem of estimating a density and its derivatives for a sample of multiplicative...
Motivated by Lounici and Nickl's work (2011), this paper considers the problem of estimation of a de...
12 pagesWe consider a density estimation problem with a change-point. We develop an adaptive wavelet...
In this thesis we investigate the connection between non-separable wavelet bases and Besov spaces. T...
AbstractThe almost everywhere convergence of wavelet series is important in wavelet analysis [S. Kel...
19 pages.We consider the density estimation problem from i.i.d. biased observations. We investigate ...