@inproceedings{1f3f0ccecbfe4a869b957a618762f99d,
title = "On bootstrapping the ROC curve",
abstract = "This paper is devoted to thoroughly investigating how to bootstrap the ROC curve, a widely used visual tool for evaluating the accuracy of test/scoring statistics in the bipartite setup. The issue of confidence bands for the ROC curve is considered and a resampling procedure based on a smooth version of the empirical distribution called the {"}smoothed bootstrap{"} is introduced. Theoretical arguments and simulation results are presented to show that the {"}smoothed bootstrap{"} is preferable to a {"}naive{"} bootstrap in order to construct accurate confidence bands.",
author = "Patrice Bertail and St{\'e}phan Cl{\'e}men{\c c}on and Nicolas Vayatis",
year = "2009",
month = jan,
day = "1",
language = "English",
isbn = "9781605609492",
series = "Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference",
publisher = "Neural Information Processing Systems",
pages = "137--144",
booktitle = "Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference",
note = "22nd Annual Conference on Neural Information Processing Systems, NIPS 2008 ; Conference date: 08-12-2008 Through 11-12-2008",
}