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Counting probability distributions: Differential geometry and model selection
A central problem in science is deciding among competing explanations of data containing random errors. We argue that assessing the “complexity” of explanations is essential to a theoretically well-founded model selection procedure. We formulate model complexity in terms of the geometry of the space...
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| Autori principali: | , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
The National Academy of Sciences
2000
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC17172/ https://ncbi.nlm.nih.gov/pubmed/11005827 |
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