Applied Nonlinear Time Series Analysis: Applications in Physics, Physiology and Finance

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Surrogate data for hypothesis testing of physical systems (2018, methodology): “The cycle-shuffled method has the disadvantage that if the peaks and troughs of each cycle do not always occur at the same amplitude, aligning them vertically may introduce nonstationarity and jumps into the surrogate data which are not present in the original data [43], therefore increasing the ris”
Comparison of missing value imputation methods in time series: the case of Turkish meteorological data (2013, methodology): “…impossible, the NDTSA methodology treats an observed time series as a univariate (or multivariate) realization of a dynamic system and tries to reconstruct its PSs with a reconstruction method (Kantz and Schreiber 2003) such as the time delay embedding (TDE) procedure (Takens 1981; Small 2005).”