On weak convergence of quantile-based empirical likelihood process for ROC curves

DOI10.1007/s11222-024-10457-xzbMATH Open1542.62017MaRDI QIDQ6581690

Zhou Wang, Hu Jiang, Liu Yiming

Publication date: 31 July 2024

Published in: Statistics and Computing (Search for Journal in Brave)

zbMATH Keywords

weak convergenceROC curvesquantile-based EL

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Asymptotic properties of nonparametric inference (62G20) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric tolerance and confidence regions (62G15)

Cites Work

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• Smoothed jackknife empirical likelihood method for ROC curve
• Distribution function inequalities for martingales
• A Glivenko-Cantelli lemma and weak convergence for empirical processes of associated sequences
• Empirical likelihood based hypothesis testing
• Adjusted empirical likelihood method for quantiles
• Nonparametric and semiparametric estimation of the receiver operating characteristic curve
• Confidence bands for ROC curves
• Using logistic regression procedures for estimating receiver operating characteristic curves
• Nonparametric confidence intervals for receiver operating characteristic curves
• Empirical Likelihood for Non‐Smooth Criterion Functions
• Uniform Convergence in Probability and Stochastic Equicontinuity
• An empirical likelihood statistic for quantiles
• Overestimation of the receiver operating characteristic curve for logistic regression
• Empirical likelihood confidence regions for comparison distributions and ROC curves
• Semiparametric inference for a quantile comparison function with applications to receiver operating characteristic curves

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