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Easy computation of the Bayes factor to fully quantify Occam’s razor in least-squares fitting and to guide actions
The Bayes factor is the gold-standard figure of merit for comparing fits of models to data, for hypothesis selection and parameter estimation. However, it is little-used because it has been considered to be subjective, and to be computationally very intensive. A simple computational method has been...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8770492/ https://www.ncbi.nlm.nih.gov/pubmed/35046427 http://dx.doi.org/10.1038/s41598-021-04694-7 |