Anticipating regime shifts by mixing early warning signals from different nodes
Naoki Masuda,
Kazuyuki Aihara,
Neil G. MacLaren
Abstract:Real systems showing regime shifts, such as ecosystems, are often composed of many dynamical elements interacting on a network. Various early warning signals have been proposed for anticipating regime shifts from observed data. However, it is unclear how one should combine early warning signals from different nodes for better performance. Based on theory of stochastic differential equations, we propose a method to optimize the node set from which to construct an early warning signal. The proposed method takes … Show more
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