New Introduction to Multiple Time Series Analysis

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Summary

This reference work and graduate level textbook considers a wide range of models and methods for analyzing and forecasting multiple time series, which include vector autoregressive, cointegrated, vector Autoregressive moving average, multivariate ARCH and periodic processes as well as dynamic simultaneous equations and state space models.

Type
book
Published
2007-10-04
Cited by
6,319
References
7
Access
Open access

Keywords

Series (stratigraphy), Computer science, Geology

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