• DOI:10.1371/journal.pone.0169050
Corpus ID: 10962549

Limits to Causal Inference with State-Space Reconstruction for Infectious Disease

@article{Cobey2016LimitsTC,
  title={Limits to Causal Inference with State-Space Reconstruction for Infectious Disease},
  author={S. Cobey and Edward B. Baskerville},
  journal={PLoS ONE},
  year={2016},
  volume={11}
}

S. Cobey, Edward B. Baskerville

Published 2016

Computer Science, Medicine, Biology

PLoS ONE

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 routinely violate its assumptions. To identify the practical limits of causal inference under CCM, we… CONTINUE READING

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