1 citations · 1 across the 5 of their papers we have counts for
7 papers
Adaptive estimation for the nonparametric bivariate additive model in random design with long-memory dependent errors
Rida Benhaddou, Qing Liu
We investigate the nonparametric bivariate additive regression estimation in the random design and long-memory errors and construct adaptive thresholding estimators based on wavele…
Estimation in nonparametric regression model with additive and multiplicative noise via Laguerre series
Rida Benhaddou
We look into the nonparametric regression estimation with additive and multiplicative noise and construct adaptive thresholding estimators based on Laguerre series. The proposed ap…
Anisotropic Functional Deconvolution for the irregular design with dependent long-memory errors
Rida Benhaddou
Anisotropic functional deconvolution model is investigated in the bivariate case under long-memory errors when the design points , , and , $l=1, 2, \cd…
Anisotropic functional deconvolution with long-memory noise: the case of a multi-parameter fractional Wiener sheet
Rida Benhaddou, Qing Liu
We look into the minimax results for the anisotropic two-dimensional functional deconvolution model with the two-parameter fractional Gaussian noise. We derive the lower bounds for…
Minimax adaptive wavelet estimator for the anisotropic functional deconvolution model with unknown kernel
Rida Benhaddou, Qing Liu
In the present paper, we consider the estimation of a periodic two-dimensional function based on observations from its noisy convolution, and convolution kernel $g…
Minimax adaptive wavelet estimator for the simultaneous blind deconvolution with fractional Gaussian noise
Rida Benhaddou
We construct an adaptive wavelet estimator that attains minimax near-optimal rates in a wide range of Besov balls. The convergence rates are affected only by the weakest dependence…