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The pairwise asymmetric inference algorithm (PAI) is a minor tweak to the cross mapping algorithm from Sugihara et al. (2012), where information about the driver (which we're trying to predict) is also included in the embedding (which is usually just a delay embedding of the time series for the putative response variable).
The pairwise asymmetric inference algorithm (PAI) is a minor tweak to the cross mapping algorithm from Sugihara et al. (2012), where information about the driver (which we're trying to predict) is also included in the embedding (which is usually just a delay embedding of the time series for the putative response variable).
From McCracken, James M., and Robert S. Weigel. "Convergent cross-mapping and pairwise asymmetric inference." Physical Review E 90.6 (2014): 062903. https://journals.aps.org/pre/abstract/10.1103/PhysRevE.90.062903
Easy to get in place once #2 is implemented.
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