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...
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| Auteurs principaux: | , , , , |
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| Format: | article |
| Langue: | EN |
| Publié: |
The Royal Society
2021
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| Sujets: | |
| Accès en ligne: | https://doaj.org/article/60c7c0dabd9547d28fbb9d82a7ab112f |
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