Introduction to the Non-Parametric Bootstrap

Berrar, Daniel (2024). Introduction to the Non-Parametric Bootstrap. In: Ranganathan, Shoba; Mario, Cannataro and Asif, Mohammad eds. Encyclopedia of Bioinformatics and Computational Biology, 2nd edition. Elsevier (In Press).


The bootstrap is a computationally intensive data resampling methodology for assessing the accuracy of statistical estimates and for making inferences about unknown population parameters. This article provides an introduction to the ordinary non-parametric bootstrap, with a focus on two applications that are of particular relevance to bioinformatics: bootstrap confidence intervals and bootstrap error estimates of predictive performance.

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