Kernel estimation of the conditional density under a censorship model

DOI10.1016/J.SPL.2018.09.009zbMath1414.62118OpenAlexW2894886327WikidataQ129139287 ScholiaQ129139287MaRDI QIDQ1726783

Lamia Aouicha, Fatiha Messaci

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.2018.09.009

zbMATH Keywords

rate of convergencesimulationmean square errorconditional densitycensored datanonparametric estimation

Mathematics Subject Classification ID

Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20) Censored data models (62N01)

Related Items (2)

Local linear estimation of the regression function for twice censored data ⋮ Asymptotic properties of a kernel etimate of the conditional mode in the presence of doubly censored data

Cites Work

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• Nonparametric conditional density estimation for censored data based on a recursive kernel
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• Rates of mean square convergence of density and failure rate estimators under twice censoring
• Local averaging estimates of the regression function with twice censored data
• Smoothed kernel conditional density estimation
• A note on prediction via estimation of the conditional mode function
• Product-limit estimators of the survival function with twice censored data
• Nonparametric functional data analysis. Theory and practice.
• Some asymptotic properties for a smooth kernel estimator of the conditional mode under random censorship
• Bayesian survival estimation for incomplete data when the life distribution is proportionally related to the censoring time
• On Estimation of a Probability Density Function and Mode

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