Minimax theory of estimation of linear functionals of the deconvolution density with or without sparsity
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Publication:2403428
DOI10.1214/16-AOS1498zbMath1443.62124arXiv1411.1660OpenAlexW2963988111MaRDI QIDQ2403428
Publication date: 8 September 2017
Published in: The Annals of Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1411.1660
Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20) Linear regression; mixed models (62J05) Nonparametric estimation (62G05) Minimax procedures in statistical decision theory (62C20)
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Confidence Intervals for Nonparametric Empirical Bayes Analysis ⋮ Discussion of “Confidence Intervals for Nonparametric Empirical Bayes Analysis” ⋮ Rejoinder: Confidence Intervals for Nonparametric Empirical Bayes Analysis ⋮ Statistical deconvolution of the free Fokker-Planck equation at fixed time ⋮ Nonparametric jump variation measures from options ⋮ Deconvolution problem of cumulative distribution function with heteroscedastic errors ⋮ Optimal regularized hypothesis testing in statistical inverse problems ⋮ Linear functional estimation under multiplicative measurement error ⋮ A Particle Method for Solving Fredholm Equations of the First Kind ⋮ Deconvolution of a cumulative distribution function with some non-standard noise densities
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