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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Detalles Bibliográficos
Autores principales: Dutta, Pritha, Quax, Rick, Crielaard, Loes, Badiali, Luca, Sloot, Peter M. A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2021
Materias:
Computer Science and Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8580443/
https://www.ncbi.nlm.nih.gov/pubmed/34804581
http://dx.doi.org/10.1098/rsos.211374

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8580443/
https://www.ncbi.nlm.nih.gov/pubmed/34804581
http://dx.doi.org/10.1098/rsos.211374

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