Iterated Integrals and Population Time Series Analysis [article]

Chad Giusti, Darrick Lee
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
more » ... an be used for causality inference. Along the way, we survey recent results and applications, review the current standard methods for causality inference, and briefly provide our outlook on generalizations to go beyond time series data.
arXiv:1811.03558v2 fatcat:rvalniuezng37eqjqwqocwblti