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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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| Publié dans: | Entropy (Basel) |
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| Auteurs principaux: | , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
MDPI
2021
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| Sujets: | |
| Accès en ligne: | 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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