Smooth Plug-in Inverse Estimators in the Current Status Continuous Mark Model

DOI10.1111/j.1467-9469.2011.00755.xzbMath1246.62096arXiv1102.1875OpenAlexW2148423924MaRDI QIDQ2911702

Piet Groeneboom, Geurt Jongbloed, Birgit I. Witte

Publication date: 1 September 2012

Published in: Scandinavian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1102.1875

zbMATH Keywords

consistencyasymptotic distributionscurrent status dataplug-in estimationbivariate kernel estimationcontinuous mark variables

Mathematics Subject Classification ID

Density estimation (62G07) Asymptotic distribution theory in statistics (62E20) Nonparametric estimation (62G05) Censored data models (62N01)

Related Items (1)

Rejoinder

Cites Work

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• Maximum smoothed likelihood estimation and smoothed maximum likelihood estimation in the current status model
• Current status data with competing risks: consistency and rates of convergence of the MLE
• Current status data with competing risks: Limiting distribution of the MLE
• The kernel method for unfolding sphere size distributions
• Asymptotically optimal bandwidth selection for kernel density estimators from randomly right-censored samples
• Strong uniform consistency rates for estimators of conditional functionals
• Some heuristics of kernel based estimators of ratio functions
• Deconvolving kernel density estimators
• Inconsistency of the MLE for the Joint Distribution of Interval‐Censored Survival Times and Continuous Marks
• Estimation of a bivariate distribution function under random censorship
• Nonparametric Estimation of the Joint Distribution of a Survival Time Subject to Interval Censoring and a Continuous Mark Variable

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