approach, combining singular spectrum analysis (SSA), adaptive-network-based fuzzy inference system (ANFIS) and improved …

Singular spectrum analysis has recently become an attractive tool in a broad range of applications. Its main mechanism … a formulation makes it possible to recast the notion of singular spectrum analysis as a semi-linear least squares …

Singular Spectrum Analysis (SSA) is a powerful tool of analysis and forecasting of time series. The main features of …

In recent years Singular Spectrum Analysis (SSA), used as a powerful technique in time series analysis, has been …

, the Singular Spectrum Analysis (SSA) and Fisher–Shannon (FS) method, which are useful methods to disclose dynamical …

periodogram, (ii) the singular spectrum analysis (SSA), and (iii) the Fisher–Shannon method. Two main significant periodicities …

, Mutual Information and Singular Spectrum Analysis capture nonlinear relationships in a non-parametric way. The framework of …, the nonlinear Singular Spectrum Analysis technique displays several advantages, since it enabled us to capture nonlinear … Spectrum Analysis (SSA). While the cointegration tests are based on regression models and capture linearities in the data …