Event coincidence analysis for quantifying statistical interrelationships between event time series

@article{Donges2016EventCA,
  title={Event coincidence analysis for quantifying statistical interrelationships between event time series},
  author={J. Donges and C. Schleussner and J. Siegmund and R. Donner},
  journal={The European Physical Journal Special Topics},
  year={2016},
  volume={225},
  pages={471-487}
}
Studying event time series is a powerful approach for analyzing the dynamics of complex dynamical systems in many fields of science. In this paper, we describe the method of event coincidence analysis to provide a framework for quantifying the strength, directionality and time lag of statistical interrelationships between event series. Event coincidence analysis allows to formulate and test null hypotheses on the origin of the observed interrelationships including tests based on Poisson… Expand
Advances in Water Resources
Understanding and managing connected extreme events
On causality of extreme events
  • M. Zanin
  • Computer Science, Physics
  • PeerJ
  • 2016
...
1
2
3
4
5
...

References

SHOWING 1-10 OF 59 REFERENCES
Identifying causal gateways and mediators in complex spatio-temporal systems
Methods for studying coincidences
Increase of extreme events in a warming world
Correlated bursts and the role of memory range.
...
1
2
3
4
5
...