Unsupervised Classification During Time-Series Model Building.

Abstract

Researchers who collect multivariate time-series data across individuals must decide whether to model the dynamic processes at the individual level or at the group level. A recent innovation, group iterative multiple model estimation (GIMME), offers one solution to this dichotomy by identifying group-level time-series models in a data-driven manner while… (More)
DOI: 10.1080/00273171.2016.1256187

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