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Limitations of Bayesian Leave-One-Out Cross-Validation for Model Selection
Cross-validation (CV) is increasingly popular as a generic method to adjudicate between mathematical models of cognition and behavior. In order to measure model generalizability, CV quantifies out-of-sample predictive performance, and the CV preference goes to the model that predicted the out-of-sam...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Springer International Publishing
2018
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6400414/ https://www.ncbi.nlm.nih.gov/pubmed/30906917 http://dx.doi.org/10.1007/s42113-018-0011-7 |