Applications of Singular Spectrum Analysis
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This chapter presents three main applications of using Singular Spectrum Analysis (SSA): change point detection, gap filling/missing value imputation, and filtering/denoising. A concise description of the main idea along with technical background with various practical illustrations with associated R codes are given in this chapter. Both univariate and multivariate SSA R codes are provided for filtering and missing values imputation.