An essential guide on high-dimensional multivariate time series including all the latest topics from one of the leading experts in the field. Following the highly successful and much-lauded book, Time Series Analysis—Univariate and Multivariate Methods, this new work by William W.S. Wei focuses on high-dimensional multivariate time series and is illustrated with numerous high-dimensional empirical time series.

BEGINNING WITH THE FUNDAMENTAL CONCEPTS AND ISSUES OF MULTIVARIATE TIME SERIES ANALYSIS, THIS BOOK COVERS MANY TOPICS THAT ARE NOT FOUND IN GENERAL MULTIVARIATE TIME SERIES BOOKS. SOME OF THESE INCLUDE REPEATED MEASUREMENTS, SPACE-TIME SERIES MODELLING, AND DIMENSION REDUCTION. THE BOOK ALSO LOOKS AT VECTOR TIME SERIES MODELS, MULTIVARIATE TIME SERIES REGRESSION MODELS, AND PRINCIPLE COMPONENT ANALYSIS OF MULTIVARIATE TIME SERIES.

ADDITIONALLY, IT PROVIDES READERS WITH INFORMATION ON FACTOR ANALYSIS OF MULTIVARIATE TIME SERIES, MULTIVARIATE GARCH MODELS, AND MULTIVARIATE SPECTRAL ANALYSIS OF TIME SERIES. WITH THE DEVELOPMENT OF COMPUTERS AND THE INTERNET, WE HAVE INCREASED POTENTIAL FOR DATA EXPLORATION. IN THE NEXT FEW YEARS, DIMENSION WILL BECOME A MORE SERIOUS PROBLEM.

Multivariate Time Series Analysis and Its Applications provides some initial solutions, which may encourage the development of related software needed for the high-dimensional multivariate time series analysis.