Forecasting critical transitions using data-driven nonstationary dynamical modeling
نویسندگان
چکیده
منابع مشابه
Predicting critical transitions in dynamical systems from time series using nonstationary probability density modeling.
A time series analysis method for predicting the probability density of a dynamical system is proposed. A nonstationary parametric model of the probability density is estimated from data within a maximum likelihood framework and then extrapolated to forecast the future probability density and explore the system for critical transitions or tipping points. A full systematic account of parameter u...
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ژورنال
عنوان ژورنال: Physical Review E
سال: 2015
ISSN: 1539-3755,1550-2376
DOI: 10.1103/physreve.92.062928