Introduction to Multiple Time Series Analysis. paper 555 p.
内容
This graduate-level textbook examines the analysis and forecasting ofmultiple time series. It considers a wide range of multiple time seriesmodels and methods, including cointegrated and periodic processes,state space, dynamic simultaneous equations and Bayesian methods.
