Abstract:Early warning signals (EWSs) represent a potentially universal tool for
identifying whether a system is approaching a tipping point, and have
been applied in fields including ecology, epidemiology, economics, and
physics. This potential universality has led to the development of a
suite of computational approaches aimed at improving the reliability of
these methods. Classic methods based on univariate data have a long
history of use, but recent theoretical advances have expanded EWSs to
multivariate datasets, … Show more
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