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

DOI10.1007/S10994-021-06115-2OpenAlexW4200159028MaRDI QIDQ2163247

Tilmann Gneiting, Peter Vogel

Publication date: 10 August 2022

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10994-021-06115-2

zbMATH Keywords

classificationbinary predictionevaluation of predictive potential

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (2)

Easy Uncertainty Quantification (EasyUQ): Generating Predictive Distributions from Single-Valued Model Output ⋮ Receiver operating characteristic (ROC) movies, universal ROC (UROC) curves, and coefficient of predictive ability (CPA)

Uses Software

• Unnamed Item
• ROCR
• pROC

Cites Work

• Unnamed Item
• Nonparametric and semiparametric estimation of the receiver operating characteristic curve
• PAV and the ROC convex hull
• Statistical Methods in Diagnostic Medicine
• ROC Curves for Continuous Data
• A Probabilistic Proof of the Weierstrass Approximation Theorem
• A General Approach to the Optimality of Minimum Distance Estimators

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