Deconvolving compactly supported densities

DOI10.3103/S106653070701005XzbMath1283.62078OpenAlexW2100455965WikidataQ126263368 ScholiaQ126263368MaRDI QIDQ2440597

Yanyan Li

Publication date: 19 March 2014

Published in: Mathematical Methods of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3103/s106653070701005x

zbMATH Keywords

inverse problemsdeconvolutionoptimal rates of convergencenonparametric density estimationunknown error distribution

Mathematics Subject Classification ID

Density estimation (62G07)

Related Items (12)

Deconvolution with unknown noise distribution is possible for multivariate signals ⋮ Deconvolution estimation of mixture distributions with boundaries ⋮ Density deconvolution in a two-level heteroscedastic model with unknown error density ⋮ Deconvolution for the Wasserstein metric and geometric inference ⋮ Estimation of the Boundary of a Variable Observed With Symmetric Error ⋮ On the meanL¹-error in the heteroscedastic deconvolution problem with compactly supported noises ⋮ A SPECTRAL METHOD FOR DECONVOLVING A DENSITY ⋮ Tikhonov’s Regularization to the Deconvolution Problem ⋮ Deconvolution of a cumulative distribution function with some non-standard noise densities ⋮ Density estimation with heteroscedastic error ⋮ Adaptive estimation in the linear random coefficients model when regressors have limited variation ⋮ Frontier estimation in the presence of measurement error with unknown variance

Uses Software

• SumTools

Cites Work

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