Some asymptotic results for kernel density estimation under random censorship

DOI10.2307/3318550zbMath0858.62034OpenAlexW4240500459MaRDI QIDQ1815796

Biao Zhang

Publication date: 23 March 1997

Published in: Bernoulli (Search for Journal in Brave)

Full work available at URL: https://projecteuclid.org/euclid.bj/1193839223

zbMATH Keywords

asymptotic normalityrandom censoringkernel density estimatorweak consistencybiassurvival timesKaplan-Meier estimatorcounting processesmartingale methodmean integrated square errorasymptotically optimal bandwidth

Mathematics Subject Classification ID

Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20)

Related Items (4)

Central Limit Theorem for ISE of Kernel Density Estimators in Censored Dependent Model ⋮ Density comparison for independent and right censored samples via kernel smoothing ⋮ A note on the integrated square errors of kernel density estimators under random censorship ⋮ Nonparametric density estimation based on the scaled Laplace transform inversion

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