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RESEARCH PRODUCT
What subject matter questions motivate the use of machine learning approaches compared to statistical models for probability prediction?
Harald Bindersubject
Statistics and Probabilitybusiness.industryProbability estimationStatistical modelGeneral MedicineMachine learningcomputer.software_genreLogistic regressionMulticategoryOutcome (probability)Subject matterDienerEconometricsArtificial intelligenceStatistics Probability and UncertaintybusinesscomputerMathematicsdescription
This is a discussion of the following papers: "Probability estimation with machine learning methods for dichotomous and multicategory outcome: Theory" by Jochen Kruppa, Yufeng Liu, Gerard Biau, Michael Kohler, Inke R. Konig, James D. Malley, and Andreas Ziegler; and "Probability estimation with machine learning methods for dichotomous and multicategory outcome: Applications" by Jochen Kruppa, Yufeng Liu, Hans-Christian Diener, Theresa Holste, Christian Weimar, Inke R. Konig, and Andreas Ziegler.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2014-02-25 | Biometrical Journal |