Inferring temporal dynamics from cross-sectional data using Langevin dynamics

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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書目詳細資料
Main Authors:	Dutta, Pritha, Quax, Rick, Crielaard, Loes, Badiali, Luca, Sloot, Peter M. A.
其他作者:	Interdisciplinary Graduate School (IGS)
格式:	Article
語言:	English
出版:	2022
主題:	Engineering::Computer science and engineering Cross-Sectional Data Predictive Computational Models
在線閱讀:	https://hdl.handle.net/10356/159990
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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