Deprecated: $wgMWOAuthSharedUserIDs=false is deprecated, set $wgMWOAuthSharedUserIDs=true, $wgMWOAuthSharedUserSource='local' instead [Called from MediaWiki\HookContainer\HookContainer::run in /var/www/html/w/includes/HookContainer/HookContainer.php at line 135] in /var/www/html/w/includes/Debug/MWDebug.php on line 372
Sharp Optimality in Density Deconvolution with Dominating Bias. II - MaRDI portal

Sharp Optimality in Density Deconvolution with Dominating Bias. II

From MaRDI portal
Publication:3521340

DOI10.1137/S0040585X97982992zbMath1142.62017OpenAlexW4206853165MaRDI QIDQ3521340

Alexandre B. Tsybakov, Cristina Butucea

Publication date: 21 August 2008

Published in: Theory of Probability & Its Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1137/s0040585x97982992



Related Items

Deconvolution with unknown noise distribution is possible for multivariate signals, A note on a fixed-point method for deconvolution, Estimation of convolution in the model with noise, Adaptive deconvolution of linear functionals on the nonnegative real line, Spectral estimation of the fractional order of a Lévy process, Adaptive sup-norm estimation of the Wigner function in noisy quantum homodyne tomography, Bayesian inverse problems with non-conjugate priors, Minimax rates of convergence for Wasserstein deconvolution with supersmooth errors in any dimension, Adaptive estimation of a function from its exponential Radon transform in presence of noise, Deconvolution for an atomic distribution, Nonparametric inference for discretely sampled Lévy processes, Global uniform risk bounds for wavelet deconvolution estimators, Supersmooth density estimations over \(L^p\) risk by wavelets, Adaptive circular deconvolution by model selection under unknown error distribution, Anisotropic adaptive kernel deconvolution, Jump estimation in inverse regression, Nonparametric estimation of the volatility function in a high-frequency model corrupted by noise, Minimax estimation for mixtures of Wishart distributions, Nonparametric estimation of the purity of a quantum state in quantum homodyne tomography with noisy data, New adaptive strategies for nonparametric estimation in linear mixed models, On deconvolution of distribution functions, Oracle inequalities and adaptive estimation in the convolution structure density model, Adaptive density estimation in deconvolution problems with unknown error distribution, ADAPTIVE DENSITY ESTIMATION FOR GENERAL ARCH MODELS, Adaptive estimation of marginal random-effects densities in linear mixed-effects models, Goodness-of-fit testing and quadratic functional estimation from indirect observations, Nonparametric estimation in a mixed-effect Ornstein-Uhlenbeck model, Anisotropic multivariate deconvolution using projection on the Laguerre basis, Comment on identification and estimation of nonlinear models using two samples with nonclassical measurement errors, Deconvolution Estimation of Onset of Pregnancy with Replicate Observations, Improved rates for Wasserstein deconvolution with ordinary smooth error in dimension one, Rates of convergence for nonparametric deconvolution, Möbius deconvolution on the hyperbolic plane with application to impedance density estimation, Structural adaptive deconvolution under \({\mathbb{L}_p}\)-losses, Nonparametric adaptive estimation for grouped data, Plug-in L2-upper error bounds in deconvolution, for a mixing density estimate in Rd and for its derivatives, via the L1-error for the mixture, Density deconvolution under general assumptions on the distribution of measurement errors, Nonparametric estimation for a class of Lévy processes, Nonparametric estimation of the characteristic triplet of a discretely observed Lévy process, Density deconvolution with non-standard error distributions: rates of convergence and adaptive estimation, Adaptive functional linear regression, Unnamed Item, Deconvolution for an atomic distribution: rates of convergence, Adaptive procedure for Fourier estimators: application to deconvolution and decompounding