Multiple wavelet coherence
2016
The multiple wavelet coherence methodology presented in the manuscript by Hu and Si represents an important contribution to wavelet analysis.In particular, Hu and Si build upon the previous work of Ng and Chan (2012) to extend multiple wavelet coherence to case of more than two predictor variables.The authors further demonstrate that the new multiple wavelet coherence methodology is better suited for situations where the predictor variables are cross-correlated.The problems with the traditional formulation are clearly stated and consistent with the objective of the paper proposed in the introduction section.Theoretical examples were also presented to highlight the advantages of the new methodology relative to existing ones.I their recommend that