Complex network-based multistep forecasting model for hyperchaotic time series
DA Thumba, K Asokan, TKM Kumar, TR Ramamohan… - Physical Review E, 2024 - APS
We present a method for predicting hyperchaotic time series using a complex network-
based forecasting model. We first construct a network from a given time series, which serves …
based forecasting model. We first construct a network from a given time series, which serves …
Testing for nonlinearity in nonstationary time series: A network-based surrogate data test
MC Mallika, S Suriya Prabhaa, K Asokan… - Physical Review E, 2021 - APS
The classical surrogate data tests, which are used to differentiate linear noise processes
from nonlinear processes, are not suitable for nonstationary time series. In this paper, we …
from nonlinear processes, are not suitable for nonstationary time series. In this paper, we …