Exploratory Continuous-Time Modeling (Expct): Extracting Dynamic Features from Irregularly Spaced Time Series
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Abstract
model: (1) addresses intensive data across virtually any time scheme, (2) allows for data collected at different time scales to predict themselves and one another, and (3) makes fewer assumptions about the functional forms of the longitudinal system dynamics between variables.
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Authors: Oisín Ryan, Kejin Wu, Nicholas C. Jacobson
Institutions: Dartmouth College, University Medical Center Utrecht, Loyola University Chicago