Consistent density deconvolution under partially known error distribution

DOI10.1016/J.SPL.2009.10.012zbMath1180.62052OpenAlexW2150881523MaRDI QIDQ844880

Maik Schwarz, Sébastien Van Bellegem

Publication date: 5 February 2010

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: http://idei.fr/sites/default/files/medias/doc/wp/2009/wp_idei_632.pdf

Mathematics Subject Classification ID

Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20)

Related Items (10)

Estimation of the variance matrix in bivariate classical measurement error models ⋮ INFERENCE ON TWO-COMPONENT MIXTURES UNDER TAIL RESTRICTIONS ⋮ Adaptive circular deconvolution by model selection under unknown error distribution ⋮ Deconvolution for the Wasserstein metric and geometric inference ⋮ Estimation of the Boundary of a Variable Observed With Symmetric Error ⋮ Identification of mixture models using support variations ⋮ CONVERGENCE RATES FOR ILL-POSED INVERSE PROBLEMS WITH AN UNKNOWN OPERATOR ⋮ Nonparametric intensity estimation from noisy observations of a Poisson process under unknown error distribution ⋮ Density estimation for mixed Euclidean and non-Euclidean data in the presence of measurement error ⋮ Frontier estimation in the presence of measurement error with unknown variance

Cites Work

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• CONVERGENCE RATES FOR ILL-POSED INVERSE PROBLEMS WITH AN UNKNOWN OPERATOR
• Optimal Rates of Convergence for Deconvolving a Density
• On the effect of estimating the error density in nonparametric deconvolution
• Estimating a Changepoint, Boundary, or Frontier in the Presence of Observation Error
• Adaptive estimation for inverse problems with noisy operators

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