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Revealing mutual influence of oscillatory systems from the observation data
In different fields of physical research, we often meet the problem of distinguishing between bidirectional and unidirectional couplings of oscillatory systems, i.e., mutual influence and one-way influence, on the basis of the observed time series. In this work, it is shown that a widely used approa...
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Published in: | Radiophysics and quantum electronics 2013-03, Vol.55 (10-11), p.662-675 |
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container_title | Radiophysics and quantum electronics |
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creator | Smirnov, D. A. Bezruchko, B. P. |
description | In different fields of physical research, we often meet the problem of distinguishing between bidirectional and unidirectional couplings of oscillatory systems, i.e., mutual influence and one-way influence, on the basis of the observed time series. In this work, it is shown that a widely used approach, based on the calculation of prediction errors of empirical models (Granger causality), may give spurious conclusions on bidirectional coupling if a sampling interval exceeds a certain intrinsic time scale of the studied systems. Taking this effect into account, we propose and illustrate by standard examples a statistical test which allows one to reveal bidirectional coupling with specified confidence probability. |
doi_str_mv | 10.1007/s11141-013-9404-6 |
format | article |
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subjects | Astronomy Astrophysics and Astroparticles Bidirectional Confidence intervals Couplings Hadrons Heavy Ions Joining Lasers Mathematical and Computational Physics Mathematical models Nuclear Physics Observations and Techniques Optical Devices Optics Photonics Physics Physics and Astronomy Quantum Optics Sampling Statistical tests Theoretical Time series |
title | Revealing mutual influence of oscillatory systems from the observation data |
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