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JuliaDynamics / Associations.jl

Algorithms for quantifying associations, independence testing and causal inference from data.
https://juliadynamics.github.io/Associations.jl/stable/
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Bivariate Phase Rectified Signal Averaging #314

Open Datseris opened 1 year ago

Datseris commented 1 year ago

Found another method to construct causal graphs here: https://pure.mpg.de/rest/items/item_3384208/component/file_3384211/content

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But then again, the paper says that Granger Causality, that is to my knowledge one of the weakest algorithmns to use for causal graphs, performs even better than this one...

Lead author @moritz-g has the method coded here: https://github.com/moritz-g/causal_networks_physiology

kahaaga commented 1 year ago

Found another method to construct causal graphs here:

Nice. Good catch! We should implement this too. I'm not too worried of the "quality" of the methods when it comes to a decision on incorporating them here or not. The advantage om implementing here it is that we can test it against all other methods, on any system.

Datseris commented 1 year ago

Sound sgood, I agree with your argument for implementing everything.