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05/22/2022
Adaptive estimation for the nonparametric bivariate additive model in random design with long-memory dependent errors
We investigate the nonparametric bivariate additive regression estimatio...
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12/16/2021
Nonparametric empirical Bayes estimation based on generalized Laguerre series
In this work, we delve into the nonparametric empirical Bayes theory and...
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12/22/2020
Estimation in nonparametric regression model with additive and multiplicative noise via Laguerre series
We look into the nonparametric regression estimation with additive and m...
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12/01/2019
Anisotropic Functional Deconvolution for the irregular design with dependent long-memory errors
Anisotropic functional deconvolution model is investigated in the bivari...
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12/18/2018
Anisotropic functional deconvolution with long-memory noise: the case of a multi-parameter fractional Wiener sheet
We look into the minimax results for the anisotropic two-dimensional fun...
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11/22/2018
Minimax adaptive wavelet estimator for the anisotropic functional deconvolution model with unknown kernel
In the present paper, we consider the estimation of a periodic two-dimen...
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06/01/2018
