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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,...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6546239/ https://www.ncbi.nlm.nih.gov/pubmed/31158252 http://dx.doi.org/10.1371/journal.pone.0217837 |