Intelligent Identification of Trend Components in Singular Spectrum Analysis

Singular spectrum analysis (SSA) is a non-parametric adaptive technique used for time series analysis. It allows solving various problems related to time series without the need to define a model. In this study, we focus on the problem of trend extraction. To extract trends using SSA, a grouping of...

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Bibliographic Details
Main Authors: Nina Golyandina, Pavel Dudnik, Alex Shlemov
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Algorithms
Subjects:
Online Access:https://www.mdpi.com/1999-4893/16/7/353