The monthly normalized information flow
Version 1.0.0 (2,79 ko) par
Ziyu Ye
Estimate tau21, the normalized information transfer from X2 to X1 with monthly data
Estimate tau21, the normalized information transfer from X2 to X1 with monthly data based on Bai et al.(2019)(https://ww2.mathworks.cn/matlabcentral/fileexchange/62471-the-normalized-information-flow).
On input:
X1, X2: the time series
xx1,xx2: the time series of target month
xn1,xn2: the time series of next month (Ye and tozuka)
np: integer >=1, time advance in performing Euler forward
differencing, e.g., 1, 2. Unless the series are generated
with a highly chaotic deterministic system, np=1 should be used.
Slevel: the confidence level of the result.(warning: IF the length of the time series is not sufficient enough to be considered as following normal distribution, please use Bootstrap Test (Liang, 2015))
On output:
tau21b: relative info flow from X2 to X1 (Bai et al., 2017)
tau21l: relative info flow from X2 to X1 (Liang, 2015)
T21: information flow from X2 to X1 without normlization
YesorNot: The result of the significant test
Citation pour cette source
Ziyu Ye (2024). The monthly normalized information flow (https://www.mathworks.com/matlabcentral/fileexchange/117960-the-monthly-normalized-information-flow), MATLAB Central File Exchange. Récupéré le .
Compatibilité avec les versions de MATLAB
Créé avec
R2022b
Compatible avec toutes les versions
Plateformes compatibles
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Version | Publié le | Notes de version | |
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1.0.0 |