Inferring collective dynamical states from widely unobserved systems
From infectious diseases to brain activity, complex systems can be approximated using autoregressive models. Here, the authors show that incomplete sampling can bias estimates of the stability of such systems, and introduce a novel, unbiased metric for use in such situations.
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Publishing Group
2018-06-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-018-04725-4 |