Limits to Causal Inference with State-Space Reconstruction for Infectious Disease
نویسندگان
چکیده
منابع مشابه
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 as convergent cross-mapping (CCM). Although CCM has theoretical support, natural systems routine...
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ژورنال
عنوان ژورنال: PLOS ONE
سال: 2016
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0169050