Understanding fluctuations through Multivariate Circulant Singular Spectrum Analysis

Author:

Bógalo JuanORCID,Poncela PilarORCID,Senra Eva

Funder

Ministerio de Ciencia e Innovación

European Regional Development Fund

Agencia Estatal de Investigacion

Publisher

Elsevier BV

Reference71 articles.

1. Synchrosqueezing-based time-frequency analysis of multivariate data;Ahrabian;Signal Processing,2015

2. A method of trend extraction using singular spectrum analysis;Alexandrov;REVSTAT – Statistical Journal,2009

3. Automatic extraction and forecast of time series cyclic components within the framework of SSA;Alexandrov,2005

4. Improving SPI-derived drought forecasts incorporating synoptic-scale climate indices in multi-phase multivariate empirical mode decomposition model hybridized with simulated annealing and kernel ridge regression algorithms;Ali;Journal of Hydrology,2019

5. Complete ensemble empirical mode decomposition hybridized with random forest and kernel ridge regression model for monthly rainfall forecasts;Ali;Journal of Hydrology,2020

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