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Iterated Integrals and Population Time Series Analysis
[article]
2019
arXiv
pre-print
One of the core advantages topological methods for data analysis provide is that the language of (co)chains can be mapped onto the semantics of the data, providing a natural avenue for human understanding of the results. Here, we describe such a semantic structure on Chen's classical iterated integral cochain model for paths in Euclidean space. Specifically, in the context of population time series data, we observe that iterated integrals provide a model-free measure of pairwise influence that
arXiv:1811.03558v2
fatcat:rvalniuezng37eqjqwqocwblti