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Local Riemannian geometry of model manifolds and its implications for practical parameter identifiability
When non-linear models are fitted to experimental data, parameter estimates can be poorly constrained albeit being identifiable in principle. This means that along certain paths in parameter space, the log-likelihood does not exceed a given statistical threshold but remains bounded. This situation,...
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| Publicado no: | PLoS One |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6546239/ https://ncbi.nlm.nih.gov/pubmed/31158252 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0217837 |
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