Inference of direction of coupling, or causality, as we can say when we consider two, possibly coupled systems, is
a complex and complicated task. In this paper we discuss some problems encountered in inference of causality
from bivariate time series and propose ways to cope with them in order to perform tests with high sensitivity
and low rate of false positive results.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.