Asymptotically local minimax estimation of infinitely smooth density with censored data

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

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