Choosing the smoothing parameter in a fourier approach to nonparametric deconvolution of a density estimate

DOI10.1080/10485259508832614zbMath1380.62127OpenAlexW2155085384WikidataQ58852263 ScholiaQ58852263MaRDI QIDQ3432408

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Publication date: 16 April 2007

Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/10485259508832614

Mathematics Subject Classification ID

Density estimation (62G07) Nonparametric estimation (62G05)

Related Items (7)

Bootstrap bandwidth selection in kernel density estimation from a contaminated sample ⋮ On deconvolution with repeated measurements ⋮ Optimal bandwidth selection for multivariate kernel deconvolution density estimation ⋮ Practical bandwidth selection in deconvolution kernel density estimation ⋮ Application of the empirical characteristic function to compare and estimate densities by pooling information ⋮ Deconvolution boundary kernel method in nonparametric density estimation ⋮ Support estimation via moment estimation in presence of noise

Uses Software

• Maple

Cites Work

• On the optimal rates of convergence for nonparametric deconvolution problems
• Optimal Rates of Convergence for Deconvolving a Density

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