Cyclocopula Technique to Study the Relationship Between Two Cyclostationary Time Series with Fractional Brownian Motion Errors

@article{Mahmoudi2022CyclocopulaTT,
  title={Cyclocopula Technique to Study the Relationship Between Two Cyclostationary Time Series with Fractional Brownian Motion Errors},
  author={Mohammad Reza Mahmoudi and Amir Mosavi},
  journal={ArXiv},
  year={2022},
  volume={abs/2206.07976}
}
Detection of relationship between two time series is so important in environmental and hydrological studies. Several parametric and non-parametric approaches can be applied to detect relationships. These techniques are usually sensitive to stationarity assumption. In this research, a new copulabased method is introduced to detect the relationship between two cylostationary time series with fractional Brownian motion (fBm) errors. The numerical studies verify the performance of the introduced… 
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