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On the Causality between Multiple Locally Stationary Processes
Author
Source
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-05-30
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Topics
Abstract EN
When one would like to describe the relations between multivariate time series, the concepts of dependence and causality are of importance.
These concepts also appear to be useful when one is describing the properties of an engineering or econometric model.
Although the measures of dependence and causality under stationary assumption are well established, empirical studies show that these measures are not constant in time.
Recently one of the most important classes of nonstationary processes has been formulated in a rigorous asymptotic framework by Dahlhaus in (1996), (1997), and (2000), called locally stationary processes.
Locally stationary processes have time-varying spectral densities whose spectral structures smoothly change in time.
Here, we generalize measures of linear dependence and causality to multiple locally stationary processes.
We give the measures of linear dependence, linear causality from one series to the other, and instantaneous linear feedback, at time t and frequency λ.
American Psychological Association (APA)
Hirukawa, Junichi. 2012. On the Causality between Multiple Locally Stationary Processes. Advances in Decision Sciences،Vol. 2012, no. 2012, pp.1-15.
https://search.emarefa.net/detail/BIM-458388
Modern Language Association (MLA)
Hirukawa, Junichi. On the Causality between Multiple Locally Stationary Processes. Advances in Decision Sciences No. 2012 (2012), pp.1-15.
https://search.emarefa.net/detail/BIM-458388
American Medical Association (AMA)
Hirukawa, Junichi. On the Causality between Multiple Locally Stationary Processes. Advances in Decision Sciences. 2012. Vol. 2012, no. 2012, pp.1-15.
https://search.emarefa.net/detail/BIM-458388
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-458388