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Using time-delayed mutual information to discover and interpret temporal correlation structure in complex populations

This paper addresses how to calculate and interpret the time-delayed mutual information (TDMI) for a complex, diversely and sparsely measured, possibly non-stationary population of time-series of unknown composition and origin. The primary vehicle used for this analysis is a comparison between the t...

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Detalhes bibliográficos
Main Authors: Albers, D. J., Hripcsak, George
Formato: Artigo
Idioma:Inglês
Publicado em: American Institute of Physics 2012
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3277606/
https://ncbi.nlm.nih.gov/pubmed/22462987
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1063/1.3675621
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