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Robust Universal Inference
Learning and making inference from a finite set of samples are among the fundamental problems in science. In most popular applications, the paradigmatic approach is to seek a model that best explains the data. This approach has many desirable properties when the number of samples is large. However,...
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| Publicado en: | Entropy (Basel) |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
MDPI
2021
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8235138/ https://ncbi.nlm.nih.gov/pubmed/34207449 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e23060773 |
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