Exploratory Continuous-Time Modeling (Expct): Extracting Dynamic Features from Irregularly Spaced Time Series
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.
Authors
- Oisín Ryan (ORCID: https://orcid.org/0000-0003-3698-6396)
- Nicholas C. Jacobson (ORCID: https://orcid.org/0000-0002-8832-4741)
- Kejin Wu
Institutions
- Dartmouth College (US)
- Loyola University Chicago (US)
- University Medical Center Utrecht (NL)
Publication Details
- Journal
- Multivariate Behavioral Research
- Published
- 2026-08-24
- DOI
- https://doi.org/10.1080/00273171.2026.2717741
- Primary Topic
- Time Series Analysis and Forecasting
- Type
- article
- Field-Weighted Citation Impact
- 0.00