Strong approximations for resample quantile processes and application to ROC methodology

DOI10.1080/10485250801954128zbMath1216.62065OpenAlexW2074277278MaRDI QIDQ3509727

Jiezhun Gu, Subhashis Ghosal

Publication date: 2 July 2008

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

Full work available at URL: http://www.lib.ncsu.edu/resolver/1840.4/1081

zbMATH Keywords

strong approximationROC curvequantile processKiefer processBayesian bootstrap

Mathematics Subject Classification ID

Asymptotic properties of nonparametric inference (62G20) Bayesian inference (62F15) Nonparametric statistical resampling methods (62G09) Inference from stochastic processes (62M99)

Related Items (3)

Minimum distance estimation of the Lehmann receiver operating characteristic curve ⋮ On the Bernstein-von Mises theorem for the Dirichlet process ⋮ Minimum distance estimation of the binormal ROC curve

Cites Work

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• An approximation of partial sums of independent RV'-s, and the sample DF. I
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