Asymptotic theory of nonparametric regression estimates with censored data

DOI10.1007/BF02908768zbMath0954.62054OpenAlexW1595419076MaRDI QIDQ1585607

R. Smith

Publication date: 16 November 2000

Published in: Science in China. Series A (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf02908768

zbMATH Keywords

censored dataoptimal rates of convergenceregression splines

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20)

Related Items (1)

Supersmooth density estimations over \(L^p\) risk by wavelets

Cites Work

• Functional laws of the iterated logarithm for the product-limit estimator of a distribution function under random censorship or truncation
• Large sample behaviour of the product-limit estimator on the whole line
• Asymptotic optimality for \(C_ p\), \(C_ L\), cross-validation and generalized cross-validation: Discrete index set
• Some properties of the Kaplan-Meier estimator for independent nonidentically distributed random variables
• Bivariate tensor-product \(B\)-splines in a partly linear model
• Optimal global rates of convergence for nonparametric regression
• Nonparametric Estimation from Incomplete Observations
• Flexible Parsimonious Smoothing and Additive Modeling
• A Note On the Unification of the Akaike Information Criterion
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