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This repository has been archived by the owner on Nov 13, 2021. It is now read-only.
Good morning,
I find this methods very interesting, but looking at the original paper, and also at the theory behind the previous version of the technique (in the package 'ecp'), I see that there is the assumption of independent observations over time, which is quite restrictive in the context of time series. How would you suggest to deal with that? I checked and some of the examples proposed do not actually perfectly follow this assumption since there is some autocorrelation in the data.
Thank you
The text was updated successfully, but these errors were encountered:
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Good morning,
I find this methods very interesting, but looking at the original paper, and also at the theory behind the previous version of the technique (in the package 'ecp'), I see that there is the assumption of independent observations over time, which is quite restrictive in the context of time series. How would you suggest to deal with that? I checked and some of the examples proposed do not actually perfectly follow this assumption since there is some autocorrelation in the data.
Thank you
The text was updated successfully, but these errors were encountered: