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Transition Indicators / Early Warning Signals / Regime Shifts / Change Point Detection

Results 20 TransitionsInTimeseries.jl issues
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# Indicator summary Some pre-trained artificial neural network have shown to be able to predict transitions (and their underlying normal form). I suppose it works well if data corresponds to...

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# Indicator summary Correlated noise can lead to bad transition recognition if standard CSD is applied (variance, lag1-autocorelation, AR1 parameter). Therefore use an adapted formula that addresses this. Works bad...

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# Indicator summary Linearizing a 1D nonlinear model, one obtains $\dot{x} = \lambda \, x$, with $\lambda$ the restoring rate. It can be estimated in a way that is robust...

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Apparently, in the literature of nonlinear dynamics, there are two nomenclatures on regime shifts. One call them "regime transitions" or "regime shifts" or "tipping points". The other calls them "Change...

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# Indicator summary Alright, I just saw this Julia code, https://github.com/johncwok/ChangePointDetection.jl , that implements an algorithm called least square density difference (LSDD) method. It is used to detect changepoints in...

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# Indicator summary > We assess the proximity of a system to a bifurcation point using a degenerate fingerprinting method that estimates the declining decay rate of fluctuations in a...

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# Indicator summary paper abstract: > Many ecological systems are subject critical transitions, which are abrupt changes to contrasting states triggered by small changes in some key component of the...

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# Indicator summary > Abrupt climate change has an important impact on sustainable economic and social development, as well as ecosystem. However, it is very difficult to predict abrupt climate...

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# Indicator summary I came across this from a presentation of Sarah Hallerberg in Dynamics Days 2022 Aberdeen. They worked on how covariant lyapunov vectors behave close to a critical...

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# Indicator summary Matthias Marconi et al has shown that critical slowing down are not good indicators for systems with a parameter changing in time. They made a new one...

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