Asymptotically local minimax estimation of infinitely smooth density with censored data
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Publication date
1996-01-01
Authors
Belitser, E.N.
Levit, B.Y.
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Document Type
Article
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Abstract
The problem of the nonparametric minimax estimation of an innitely smooth density at a given point, under random censorship, is considered. We establish the exact limiting behavior of the local minimax risk and propose the ecient kernel -type estimator based on the Kaplan-Meier estimator.
Keywords
local minimax risk, Kaplan-Meier estimator, kernel, random censorship