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Limits to Causal Inference with State-Space Reconstruction for Infectious Disease
Infectious diseases are notorious for their complex dynamics, which make it difficult to fit models to test hypotheses. Methods based on state-space reconstruction have been proposed to infer causal interactions in noisy, nonlinear dynamical systems. These “model-free” methods are collectively known...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2016
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5193453/ https://www.ncbi.nlm.nih.gov/pubmed/28030639 http://dx.doi.org/10.1371/journal.pone.0169050 |