Least squares sieve estimation of mixture distributions with boundary effects

DOI10.1016/j.jkss.2014.07.003zbMath1328.62246OpenAlexW1975609506MaRDI QIDQ2355260

Ling Wang, Haipeng Shen, Guang Guo, Mihee Lee, James Stephen Marron, Hall, Peter

Publication date: 21 July 2015

Published in: Journal of the Korean Statistical Society (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jkss.2014.07.003

zbMATH Keywords

penalizationleast squaressieve methodmeasurement errormixture distribution

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08)

Related Items

Density Deconvolution With Additive Measurement Errors Using Quadratic Programming, Density estimation of a mixture distribution with unknown point-mass and normal error

Uses Software

• KernSmooth
• NPsimex

Cites Work

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• The Adaptive Lasso and Its Oracle Properties
• Estimating a regression function
• Convergence rate of sieve estimates
• Deconvolution estimation of mixture distributions with boundaries
• Deconvolution for an atomic distribution
• Deconvolution for an atomic distribution: rates of convergence
• Asymptotics for TAYLEX and SIMEX estimators in deconvolution of densities
• Density Estimation in the Presence of Heteroscedastic Measurement Error
• Deconvolution of a Distribution Function
• Wavelet Deconvolution in a Periodic Setting
• Direct deconvolution density estimation of a mixture distribution motivated by mutation effects distribution
• Exploring the Information in p‐Values for the Analysis and Planning of Multiple‐Test Experiments
• Measurement Error in Nonlinear Models