Forecasting, Structural Time Series Models and the Kalman Filter
1990
First Published
4.18
Average Rating
572
Number of Pages
This book provides a synthesis of concepts and materials that ordinarily appear separately in time series and econometrics literature, presenting a comprehensive review of both theoretical and applied concepts. Perhaps the most novel feature of the book is its use of Kalman filtering together with econometric and time series methodology. From a technical point of view, state space models and the Kalman filter play a key role in the statistical treatment of structural time series models. This technique was originally developed in control engineering but is becoming increasingly important in economics and operations research. The book is primarily concerned with modeling economic and social time series and with addressing the special problems that the treatment of such series pose.
Avg Rating
4.18
Number of Ratings
11
5 STARS
45%
4 STARS
27%
3 STARS
27%
2 STARS
0%
1 STARS
0%
goodreads
