Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Planning as Inference in Epidemiological Dynamics Models
por: Wood, Frank, et al.
Publicado: (2022) -
Social norms and obesity prevalence: From cohort to system dynamics models
por: Crielaard, Loes, et al.
Publicado: (2020) -
Temporal analysis and opinion dynamics of COVID-19 vaccination tweets using diverse feature engineering techniques
por: Ahmed, Shoaib, et al.
Publicado: (2023) -
Why cannot long-term cascade be predicted? Exploring temporal dynamics in information diffusion processes
por: Cao, Ren-Meng, et al.
Publicado: (2021) -
Retrospective Inference as a Form of Bounded Rationality, and Its Beneficial Influence on Learning
por: FitzGerald, Thomas H. B., et al.
Publicado: (2020)