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This book presents an introduction to linear univariate and multivariate time series analysis, providing brief theoretical insights into each topic, and from the beginning illustrating the theory with software examples.
This book presents a comprehensive study of multivariate time series with linear state space structure. The strength of the book also lies in the numerous algorithms included for state space models that take advantage of the recursive nature of the models.
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