Density deconvolution from grouped data with additive errors

DOI10.1016/j.spl.2019.01.007zbMath1407.62124OpenAlexW2910528060WikidataQ128606008 ScholiaQ128606008MaRDI QIDQ1726922

Cao Xuan Phuong, Le Thi Hong Thuy

Publication date: 20 February 2019

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

Full work available at URL: https://doi.org/10.1016/j.spl.2019.01.007

zbMATH Keywords

deconvolutiongrouped dataerror density

Mathematics Subject Classification ID

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

Uses Software

• pyuvdata

Cites Work

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• Nonparametric adaptive estimation for grouped data
• Density estimation from aggregate data
• A ridge-parameter approach to deconvolution
• Optimal convergence rates for density estimation from grouped data
• NONPARAMETRIC ESTIMATION WITH AGGREGATED DATA
• Asymmetric Kernel Density Estimation Based on Grouped Data with Applications to Loss Model
• Deconvolution from Fourier-oscillating error densities under decay and smoothness restrictions

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