Large-sample study of the kernel density estimators under multiplicative censoring
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Publication:450027
DOI10.1214/11-AOS954zbMath1246.62094arXiv1205.6275OpenAlexW2044901251MaRDI QIDQ450027
Vahid Fakoor, Marco Carone, Masoud Asgharian
Publication date: 3 September 2012
Published in: The Annals of Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1205.6275
Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20) Censored data models (62N01) Strong limit theorems (60F15)
Related Items (18)
Wavelet estimation for derivative of a density in the presence of additive noise ⋮ Laguerre and Hermite bases for inverse problems ⋮ Adaptive and Optimal Point-Wise Estimations for Densities in GARCH-Type Model by Wavelets ⋮ Nonparametric density estimation from observations with multiplicative measurement errors ⋮ Nonparametric density and survival function estimation in the multiplicative censoring model ⋮ Uniform confidence bands for hazard functions from censored prevalent cohort survival data ⋮ Statistical inference for scale mixture models via Mellin transform approach ⋮ Large-sample study of the kernel density estimators under multiplicative censoring ⋮ Wavelet estimation for derivative of a density in a GARCH-type model ⋮ Adaptive estimation of the hazard rate with multiplicative censoring ⋮ Conditional kernel density estimation for some incomplete data models ⋮ On estimation of a density function in multiplicative censoring ⋮ Adaptive wavelet estimations for the derivative of a density in GARCH-type model ⋮ Nonparametric estimation in a multiplicative censoring model with symmetric noise ⋮ A note on the length-biased Weibull-Gamma frailty survival model ⋮ Adaptive wavelet estimation of a density from mixtures under multiplicative censoring ⋮ Nonparametric estimation of the mixing density using polynomials ⋮ \(L^{p}\) convergence rate of wavelet estimators for the bias and multiplicative censoring model
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