Receiver operating characteristic (ROC) curves: Equivalences, beta model, and minimum distance estimation

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SEEK ID: https://publications.h-its.org/publications/1421

Filename: 2022aML.pdf 

Format: PDF document

Size: 1.43 MB

SEEK ID: https://publications.h-its.org/publications/1421

DOI: 10.1007/s10994-021-06115-2

Research Groups: Computational Statistics

Publication type: Journal

Journal: Machine Learning

Publisher: Springer Science and Business Media LLC

Citation: Machine Learning, 111:2147–2159

Date Published: 1st Jun 2022

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Registered Mode: manually

Authors: Tilmann Gneiting, Peter Vogel

Citation
Gneiting, T., & Vogel, P. (2021). Receiver operating characteristic (ROC) curves: equivalences, beta model, and minimum distance estimation. In Machine Learning (Vol. 111, Issue 6, pp. 2147–2159). Springer Science and Business Media LLC. https://doi.org/10.1007/s10994-021-06115-2
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Created: 19th Dec 2021 at 16:30

Last updated: 8th Mar 2024 at 13:55

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