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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...
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| 發表在: | PLoS One |
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| Main Authors: | , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
Public Library of Science
2016
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| 主題: | |
| 在線閱讀: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5193453/ https://ncbi.nlm.nih.gov/pubmed/28030639 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0169050 |
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