Journal
INTERNATIONAL STATISTICAL REVIEW
Volume -, Issue -, Pages -Publisher
WILEY
DOI: 10.1111/insr.12558
Keywords
exponential smoothing; high dimension; multiplicative seasonal model; multivariate time series
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This paper briefly reviews recent research in matrix-variate time series analysis, discusses new developments, especially for seasonal time series, and demonstrates applications. It introduces a general matrix autoregressive moving-average model and provides a simple approach for understanding the model, identifiability issues, and estimation. Real examples are used to illustrate the theory.
This paper briefly reviews the recent research in matrix-variate time series analysis, discusses some new developments, especially for seasonal time series, and demonstrates some applications. A general matrix autoregressive moving-average model is introduced. The paper narrates a simple approach for understanding the model, identifiability issues, and estimation. Real examples are used to illustrate the theory.
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