Inferring temporal dynamics from cross-sectional data using Langevin dynamics
Cross-sectional studies are widely prevalent since they are more feasible to conduct compared with longitudinal studies. However, cross-sectional data lack the temporal information required to study the evolution of the underlying dynamics. This temporal information is essential to develop predictiv...
Main Authors: | Pritha Dutta, Rick Quax, Loes Crielaard, Luca Badiali, Peter M. A. Sloot |
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Format: | Article |
Language: | English |
Published: |
The Royal Society
2021-11-01
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Series: | Royal Society Open Science |
Subjects: | |
Online Access: | https://royalsocietypublishing.org/doi/10.1098/rsos.211374 |
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