Consistent estimates of the mode of the probability density function in nonparametric deconvolution problems

DOI10.1016/S0167-7152(99)00145-5zbMath0977.62042OpenAlexW1974983119WikidataQ126438112 ScholiaQ126438112MaRDI QIDQ1974073

Rachid Sabre, Mustapha Rachdi

Publication date: 24 January 2002

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

Full work available at URL: https://doi.org/10.1016/s0167-7152(99)00145-5

zbMATH Keywords

asymptotic normalitymodedeconvolution problems

Mathematics Subject Classification ID

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

Related Items (11)

Bootstrap bandwidth selection in kernel density estimation from a contaminated sample ⋮ Functional data: local linear estimation of the conditional density and its application ⋮ Regression model for surrogate data in high dimensional statistics ⋮ Multiscale methods for shape constraints in deconvolution: confidence statements for qualitative features ⋮ On general consistency in deconvolution mode estimation ⋮ Optimal iterative density deconvolution ⋮ On optimal estimation of the mode in nonparametric deconvolution problems ⋮ Local linear estimation of the conditional density for functional data. ⋮ On testing for local monotonicity in deconvolution problems ⋮ Test and asymptotic normality for mixed bivariate measure ⋮ Kernel estimations for multivariate density functional with bootstrap

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