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Wavelet-based density estimation in a heteroscedastic convolution model
International audience -
Random thresholds for linear model selection
A method is introduced to estimate the number of significant coefficients in non ordered model selection problems. The method is based on a convenient random centering... -
Nonparametric Estimation for Functional Data by Wavelet Thresholding
This paper deals with density and regression estimation problems for functional data. Using wavelet bases for Hilbert spaces of functions, we develop a new adaptive... -
On a Plug-In Wavelet Estimator for Convolutions of Densities
International audience -
Adaptive wavelet estimation of a function in an indirect regression model
International audience -
A constrained optimization approach for complex sparse perturbed models
In this paper, we consider the problem of estimating a complex-valued signal having a sparse representation in an uncountable family of vectors. The available... -
Estimation of a cumulative distribution function under interval censoring ''c...
International audience -
Adaptive wavelet estimation of a density from mixtures under multiplicative c...
In this paper, a mixture model under multiplicative censoring is considered. We investigate the estimation of a component of the mixture (a density) from the... -
A general result on the performance of the wavelet hard thresholding estimato...
In this note, we consider the estimation of an unknown function $f$ for weakly dependent data ($\alpha$-mixing) in a general setting. Our contribution is theoretical:... -
A note on wavelet estimation of the derivatives of a regression function in a...
We investigate the estimation of the derivatives of a regression function in the nonparametric regression model with random design. New wavelet estimators are...
