A Tutorial on Distribution-Free Uncertainty Quantification Using Conformal Prediction
Statistical prediction models are ubiquitous in psychological research and practice. Increasingly, machine-learning models are used. Quantifying the uncertainty of such predictions is rarely considered, partly because prediction intervals are not defined for many of the algorithms used. However, gen...
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| Principais autores: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
SAGE Publishing
2025-11-01
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| Series: | Advances in Methods and Practices in Psychological Science |
| Acceso en liña: | https://doi.org/10.1177/25152459251380452 |
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